From 81eec9687a337e8fa7833626ffcf0fab4e7c91e2 Mon Sep 17 00:00:00 2001 From: David Waring Date: Fri, 22 Jul 2022 11:13:55 -0400 Subject: [PATCH 1/3] T3 Modifications: scale categories are sorted by key in the Trait Dictionary add new variables derived from drone imagery from Texas UASHub add additional agronomic and disease traits requested by breeders --- wheat_TD.csv | 1095 +++++++++++++++++++++++++------------------------- 1 file changed, 558 insertions(+), 537 deletions(-) diff --git a/wheat_TD.csv b/wheat_TD.csv index 85d5620..b4cd48c 100644 --- a/wheat_TD.csv +++ b/wheat_TD.csv @@ -1,502 +1,502 @@ -"Curation";"Variable ID";"Variable name";"Variable synonyms";"Context of use";"Growth stage";"Variable status";"Variable Xref";"Institution";"Scientist";"Date";"Language";"Crop";"Trait ID";"Trait name";"Trait class";"Trait description";"Trait synonyms";"Main trait abbreviation";"Alternative trait abbreviations";"Entity";"Attribute";"Trait status";"Trait Xref";"Method ID";"Method name";"Method class";"Method description";"Formula";"Method reference";"Scale ID";"Scale name";"Scale class";"Decimal places";"Lower limit";"Upper limit";"Scale Xref";"Category 1";"Category 2";"Category 3";"Category 4";"Category 5";"Category 6";"Category 7";"Category 8";"Category 9";"Category 10";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001211";"TestWt_M_kghl";"TESTWT_kg_hl";"Trial evaluation";"After harvest (From DS87)";"";"BMS_22684";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000159";"Grain test weight";"Quality traits";"Test weight or specific weight is the weight of a fixed volume of clean grains.";"Grain hectoliter weight, Grain specific weigh, Test weight";"TestWt";"";"Grain";"Test weight";"";"";"CO_321:0000397";"AACC 55-10 or SeedCount management procedure";"Measurement";"Standard method for test weight.";"";"";"CO_321:0000423";"kg/hl";"Numerical";"1.0";"37.0";"87.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001040";"AcdTol_E_1to5";"ACDTOL _1_5";"Trial evaluation";"DS15-DS65";"";"BMS_29004";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000078";"Acid soil tolerance";"Abiotic stress traits";"Plant tolerance to acid soil.";"";"AcdTol";"";"Plant";"Acid soil tolerance";"";"";"CO_321:0000299";"AcdTol Estimation";"Estimation";"Observe the growth of plants per plot/entry in a low pH (acid) soil field and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 15)";"CO_321:0000464";"1-5 TOL scale";"Ordinal";"1.0";"";"";"";"1= highly susceptible";"4= tolerant";"5= highly tolerant";"2= susceptible";"3= intermediate";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001268";"PrecoResp_E_1to8";"PRECO_1_8__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29143";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000178";"Leaf rust plant response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoResp";"BwRustResp, LRResp";"Leaf";"Leaf rust plant response";"";"";"CO_321:0000360";"Adult plants rust field response Estimation";"Estimation";"Response (type of disease reaction) in adult plant to leaf/stem/stripe rust, refers to the infection type and is classified according to the following scale: 0-No visible infection. R-Resistant, necrotic areas with or without small pustules. MR-Moderately Resistant, small pustules surrounded by necrotic areas. M-Intermediate, pustules of variable size, some necrosis and/or chlorosis. MS-Moderately Susceptible, medium-sized pustules, no necrosis, but some chlorosis possible. S-Susceptible, large pustules, no necrosis or chlorosis.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000473";"1-8 rust field response scale";"Ordinal";"1.0";"";"";"";"0= no visible infection (0)";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"I= intermediate (M), pustules of variable size, some necrosis and/or chlorosis";"R= resistant (R), necrotic areas with or without small pustules";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large pustules, no necrosis or chlorosis";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some clorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001381";"PgramResp_E_1to8";"PGRAM_1_8__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29132";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000177";"Stem rust plant response";"Biotic stress traits";"Stem rust (black rust) response in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramResp";"PGRAM";"Plant";"Stem rust plant response";"";"";"CO_321:0000360";"Adult plants rust field response Estimation";"Estimation";"Response (type of disease reaction) in adult plant to leaf/stem/stripe rust, refers to the infection type and is classified according to the following scale: 0-No visible infection. R-Resistant, necrotic areas with or without small pustules. MR-Moderately Resistant, small pustules surrounded by necrotic areas. M-Intermediate, pustules of variable size, some necrosis and/or chlorosis. MS-Moderately Susceptible, medium-sized pustules, no necrosis, but some chlorosis possible. S-Susceptible, large pustules, no necrosis or chlorosis.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000473";"1-8 rust field response scale";"Ordinal";"1.0";"";"";"";"0= no visible infection (0)";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"I= intermediate (M), pustules of variable size, some necrosis and/or chlorosis";"R= resistant (R), necrotic areas with or without small pustules";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large pustules, no necrosis or chlorosis";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some clorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001395";"PstriResp_E_1to8";"PSTRI_1_8__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29147";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000179";"Stripe rust plant response";"Biotic stress traits";"Stripe rust (yellow rust) response in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriResp";"YRustResp, YRResp, PSTRIL";"Leaf";"Stripe rust plant response";"";"";"CO_321:0000360";"Adult plants rust field response Estimation";"Estimation";"Response (type of disease reaction) in adult plant to leaf/stem/stripe rust, refers to the infection type and is classified according to the following scale: 0-No visible infection. R-Resistant, necrotic areas with or without small pustules. MR-Moderately Resistant, small pustules surrounded by necrotic areas. M-Intermediate, pustules of variable size, some necrosis and/or chlorosis. MS-Moderately Susceptible, medium-sized pustules, no necrosis, but some chlorosis possible. S-Susceptible, large pustules, no necrosis or chlorosis.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000473";"1-8 rust field response scale";"Ordinal";"1.0";"";"";"";"0= no visible infection (0)";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"I= intermediate (M), pustules of variable size, some necrosis and/or chlorosis";"R= resistant (R), necrotic areas with or without small pustules";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large pustules, no necrosis or chlorosis";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some clorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001041";"AgrScr_E_0to9";"AGRSCR_0_9";"Nursery/Trial evaluation";"Generally DS69-DS81";"";"BMS_23052";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000162";"Agronomic score";"Agronomical traits";"Rating of overall agronomic attributes and health of plants.";"Phenotypic acceptability";"AgrScr";"AGRSCR";"Plant";"Phenotypic acceptability";"";"";"CO_321:0000351";"AgrScr Estimation";"Estimation";"For agronomic score observe visually detectable signs of factors limiting yields and rate.";"";"";"CO_321:0000885";"0-9 scoring scale";"Ordinal";"1.0";"";"";"";"0= very poor (VP)";"3= poor to fair (P-F)";"4= fair (F)";"1= very poor to poor (VP-P)";"2= poor (P)";"7= good to very good (G-VG)";"8= very good (VG)";"5= fair to good (F-G)";"6= good (G)";"9= excellent (E)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001042";"AgrScr_E_1to9";"AGRSCR_1_9";"Nursery/Trial evaluation";"Generally DS69-DS81";"";"BMS_23051";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000162";"Agronomic score";"Agronomical traits";"Rating of overall agronomic attributes and health of plants.";"Phenotypic acceptability";"AgrScr";"AGRSCR";"Plant";"Phenotypic acceptability";"";"";"CO_321:0000351";"AgrScr Estimation";"Estimation";"For agronomic score observe visually detectable signs of factors limiting yields and rate.";"";"";"CO_321:0000884";"1-9 scoring scale";"Ordinal";"1.0";"";"";"";"1= very poor (VP)";"4= poor to fair (P-F)";"5= fair (F)";"2= very poor to poor (VP-P)";"3= poor (P)";"8= good to very good (G-VG)";"9= very good (VG)";"6= fair to good (F-G)";"7= good (G)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001045";"AlTol_E_1to9";"ALUTOL_1_9";"Nursery/Trial evaluation";"DS15-DS65";"";"BMS_29005";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000079";"Aluminum tolerance";"Abiotic stress traits";"Plant tolerance to aluminum.";"";"AlTol";"ALUTOL";"Plant";"Aluminum tolerance";"";"";"CO_321:0000300";"AlTol Estimation";"Estimation";"Observe the growth of plants per plot/entry in a soil presenting aluminum toxicity and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 15)";"CO_321:0000468";"1-9 TOL scale";"Ordinal";"1.0";"";"";"";"1= highly susceptible";"4= susceptible to moderately susceptible";"5= moderately susceptible";"2= highly susceptible to susceptible";"3= susceptible";"8= tolerant";"9= highly tolerant";"6= moderately susceptible to moderately tolerant";"7= moderately tolerant";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001109";"AlvIe_Calc_pct";"ALVIe_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29006";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000210";"Dough alveograph extensibility index";"Quality traits";"It is the extensibility index of the dough. (p200/p)*100, p200: pressure (p) at 4 cm (l= 40mm) of the curve.";"";"AlvIe";"";"Dough";"Alveograph extensibility index";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001110";"AlvPG_Calc_Idx";"ALVPG_index";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29009";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000395";"Dough alveograph P/G";"Quality traits";"It is the p/g ratio.";"Tenacity/extensibility ratio";"AlvPG";"";"Dough";"Alveograph P/G";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001111";"AlvPL_Calc_Idx";"ALVPL_index";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29010";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000145";"Dough alveograph P/L";"Quality traits";"Ratio of tenacity (p, maximum pressure required for the deformation of the sample) and extensibility (l, length of the curve) of dough.";"Dough strength and extensibility";"AlvPL";"";"Dough";"Alveograph P/L";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001112";"AlvG_M_mm";"AVLG_mm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29017";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000211";"Dough alveograph value G";"Quality traits";"G stands for the square root of the volume of air in the bubble that was possible before the bubble burst. shows how flexible the dough was during the test.";"G value, Index of swelling";"AlvG";"";"Dough";"Alveograph value G";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001113";"AlvL_M_mm";"ALVL_mm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29007";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000212";"Dough alveograph value L";"Quality traits";"L value is the extensibility of the dough before the bubble breaks. it is indicated by the length of the curve.";"L value, Dough extensibility";"AlvL";"";"Dough";"Alveograph value L";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001114";"AlvP_M_mm";"ALVP_mm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29008";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000213";"Dough alveograph value P";"Quality traits";"P value is the force required to blow the bubble of dough. it is indicated by the maximum height of the curve.";"P value, Dough resistance, Dough tenacity";"AlvP";"";"Dough";"Alveograph value P";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001115";"AlvW_M_joules";"ALVW_joules";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29011";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000144";"Dough alveograph value W";"Quality traits";"Dough strength by alveograph. W value is the area under the curve. it is a combination of dough strength (p value) and extensibility (l value).";"W value, Strength of dough";"AlvW";"";"Dough";"Alveograph value W";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000422";"joules";"Numerical";"0.0";"25.0";"350.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001619";"Amax_M_umolCO2m2s2";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001503";"Leaf light and carbon dioxide-saturated net photosynthesis";"Physiological traits";"Carbon fixation by photosynthesis at saturating light and CO2.";"";"Amax";"";"Leaf";"Light and carbon dioxide-saturated net photosynthesis";"";"";"CO_321:0001554";"Amax Measurement";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0001588";"µmol CO2/m2/s";"Numerical";"2.0";"-5.0";"60.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001617";"Anet_M_umolCO2m2s2";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001501";"Leaf net photosynthesis rate";"Physiological traits";"Carbon fixation by photosynthesis.";"";"Anet";"";"Leaf";"Net photosynthesis rate";"";"";"CO_321:0001552";"Anet Measurement";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0001588";"µmol CO2/m2/s";"Numerical";"2.0";"-5.0";"60.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"Curation";"Variable ID";"Variable name";"Variable synonyms";"Context of use";"Growth stage";"Variable status";"Variable Xref";"Institution";"Scientist";"Date";"Language";"Crop";"Trait ID";"Trait name";"Trait class";"Trait description";"Trait synonyms";"Main trait abbreviation";"Alternative trait abbreviations";"Entity";"Attribute";"Trait status";"Trait Xref";"Method ID";"Method name";"Method class";"Method description";"Formula";"Method reference";"Scale ID";"Scale name";"Scale class";"Decimal places";"Lower limit";"Upper limit";"Scale Xref";"Category 1";"Category 2";"Category 3";"Category 4";"Category 5";"Category 6";"Category 7";"Category 8";"Category 9";"Category 10";"Category 11";"Category 12";"Category 13";"Category 14";"Category 15";"Category 16";"Category 17";"Category 18";"Category 19";"Category 20";"Category 21";"Category 22";"Category 23";"Category 24";"Category 25";"Category 26";"Category 27";"Category 28";"Category 29";"Category 30";"Category 31";"Category 32";"Category 33";"Category 34";"Category 35";"Category 36";"Category 37";"Category 38";"Category 39";"Category 40";"Category 41";"Category 42";"Category 43";"Category 44";"Category 45";"Category 46";"Category 47";"Category 48";"Category 49";"Category 50";"Category 51";"Category 52";"Category 53";"Category 54";"Category 55";"Category 56";"Category 57";"Category 58";"Category 59";"Category 60";"Category 61";"Category 62";"Category 63";"Category 64";"Category 65";"Category 66";"Category 67";"Category 68";"Category 69";"Category 70";"Category 71";"Category 72";"Category 73";"Category 74";"Category 75";"Category 76";"Category 77";"Category 78";"Category 79";"Category 80";"Category 81";"Category 82";"Category 83";"Category 84";"Category 85";"Category 86";"Category 87";"Category 88";"Category 89";"Category 90";"Category 91" +"";"CO_321:0001211";"TestWt_M_kghl";"TESTWT_kg_hl";"Trial evaluation";"After harvest (From DS87)";"";"BMS_22684";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000159";"Grain test weight";"Quality traits";"Test weight or specific weight is the weight of a fixed volume of clean grains.";"Grain hectoliter weight, Grain specific weigh, Test weight";"TestWt";"";"Grain";"Test weight";"";"";"CO_321:0000397";"AACC 55-10 or SeedCount management procedure";"Measurement";"Standard method for test weight.";"";"";"CO_321:0000423";"kg/hl";"Numerical";"1";"37";"87";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001040";"AcdTol_E_1to5";"ACDTOL _1_5";"Trial evaluation";"DS15-DS65";"";"BMS_29004";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000078";"Acid soil tolerance";"Abiotic stress traits";"Plant tolerance to acid soil.";"";"AcdTol";"";"Plant";"Acid soil tolerance";"";"";"CO_321:0000299";"AcdTol Estimation";"Estimation";"Observe the growth of plants per plot/entry in a low pH (acid) soil field and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 15)";"CO_321:0000464";"1-5 TOL scale";"Ordinal";"1";"";"";"";"1= highly susceptible";"2= susceptible";"3= intermediate";"4= tolerant";"5= highly tolerant";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001268";"PrecoResp_E_1to8";"PRECO_1_8__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29143";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000178";"Leaf rust plant response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoResp";"BwRustResp, LRResp";"Leaf";"Leaf rust plant response";"";"";"CO_321:0000360";"Adult plants rust field response Estimation";"Estimation";"Response (type of disease reaction) in adult plant to leaf/stem/stripe rust, refers to the infection type and is classified according to the following scale: 0-No visible infection. R-Resistant, necrotic areas with or without small pustules. MR-Moderately Resistant, small pustules surrounded by necrotic areas. M-Intermediate, pustules of variable size, some necrosis and/or chlorosis. MS-Moderately Susceptible, medium-sized pustules, no necrosis, but some chlorosis possible. S-Susceptible, large pustules, no necrosis or chlorosis.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000473";"1-8 rust field response scale";"Ordinal";"1";"";"";"";"0= no visible infection (0)";"I= intermediate (M), pustules of variable size, some necrosis and/or chlorosis";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some clorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"R= resistant (R), necrotic areas with or without small pustules";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large pustules, no necrosis or chlorosis";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001381";"PgramResp_E_1to8";"PGRAM_1_8__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29132";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000177";"Stem rust plant response";"Biotic stress traits";"Stem rust (black rust) response in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramResp";"PGRAM";"Plant";"Stem rust plant response";"";"";"CO_321:0000360";"Adult plants rust field response Estimation";"Estimation";"Response (type of disease reaction) in adult plant to leaf/stem/stripe rust, refers to the infection type and is classified according to the following scale: 0-No visible infection. R-Resistant, necrotic areas with or without small pustules. MR-Moderately Resistant, small pustules surrounded by necrotic areas. M-Intermediate, pustules of variable size, some necrosis and/or chlorosis. MS-Moderately Susceptible, medium-sized pustules, no necrosis, but some chlorosis possible. S-Susceptible, large pustules, no necrosis or chlorosis.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000473";"1-8 rust field response scale";"Ordinal";"1";"";"";"";"0= no visible infection (0)";"I= intermediate (M), pustules of variable size, some necrosis and/or chlorosis";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some clorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"R= resistant (R), necrotic areas with or without small pustules";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large pustules, no necrosis or chlorosis";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001395";"PstriResp_E_1to8";"PSTRI_1_8__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29147";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000179";"Stripe rust plant response";"Biotic stress traits";"Stripe rust (yellow rust) response in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriResp";"YRustResp, YRResp, PSTRIL";"Leaf";"Stripe rust plant response";"";"";"CO_321:0000360";"Adult plants rust field response Estimation";"Estimation";"Response (type of disease reaction) in adult plant to leaf/stem/stripe rust, refers to the infection type and is classified according to the following scale: 0-No visible infection. R-Resistant, necrotic areas with or without small pustules. MR-Moderately Resistant, small pustules surrounded by necrotic areas. M-Intermediate, pustules of variable size, some necrosis and/or chlorosis. MS-Moderately Susceptible, medium-sized pustules, no necrosis, but some chlorosis possible. S-Susceptible, large pustules, no necrosis or chlorosis.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000473";"1-8 rust field response scale";"Ordinal";"1";"";"";"";"0= no visible infection (0)";"I= intermediate (M), pustules of variable size, some necrosis and/or chlorosis";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some clorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"R= resistant (R), necrotic areas with or without small pustules";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large pustules, no necrosis or chlorosis";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001041";"AgrScr_E_0to9";"AGRSCR_0_9";"Nursery/Trial evaluation";"Generally DS69-DS81";"";"BMS_23052";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000162";"Agronomic score";"Agronomical traits";"Rating of overall agronomic attributes and health of plants.";"Phenotypic acceptability";"AgrScr";"AGRSCR";"Plant";"Phenotypic acceptability";"";"";"CO_321:0000351";"AgrScr Estimation";"Estimation";"For agronomic score observe visually detectable signs of factors limiting yields and rate.";"";"";"CO_321:0000885";"0-9 scoring scale";"Ordinal";"1";"";"";"";"0= very poor (VP)";"1= very poor to poor (VP-P)";"2= poor (P)";"3= poor to fair (P-F)";"4= fair (F)";"5= fair to good (F-G)";"6= good (G)";"7= good to very good (G-VG)";"8= very good (VG)";"9= excellent (E)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001042";"AgrScr_E_1to9";"AGRSCR_1_9";"Nursery/Trial evaluation";"Generally DS69-DS81";"";"BMS_23051";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000162";"Agronomic score";"Agronomical traits";"Rating of overall agronomic attributes and health of plants.";"Phenotypic acceptability";"AgrScr";"AGRSCR";"Plant";"Phenotypic acceptability";"";"";"CO_321:0000351";"AgrScr Estimation";"Estimation";"For agronomic score observe visually detectable signs of factors limiting yields and rate.";"";"";"CO_321:0000884";"1-9 scoring scale";"Ordinal";"1";"";"";"";"1= very poor (VP)";"2= very poor to poor (VP-P)";"3= poor (P)";"4= poor to fair (P-F)";"5= fair (F)";"6= fair to good (F-G)";"7= good (G)";"8= good to very good (G-VG)";"9= very good (VG)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001045";"AlTol_E_1to9";"ALUTOL_1_9";"Nursery/Trial evaluation";"DS15-DS65";"";"BMS_29005";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000079";"Aluminum tolerance";"Abiotic stress traits";"Plant tolerance to aluminum.";"";"AlTol";"ALUTOL";"Plant";"Aluminum tolerance";"";"";"CO_321:0000300";"AlTol Estimation";"Estimation";"Observe the growth of plants per plot/entry in a soil presenting aluminum toxicity and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 15)";"CO_321:0000468";"1-9 TOL scale";"Ordinal";"1";"";"";"";"1= highly susceptible";"2= highly susceptible to susceptible";"3= susceptible";"4= susceptible to moderately susceptible";"5= moderately susceptible";"6= moderately susceptible to moderately tolerant";"7= moderately tolerant";"8= tolerant";"9= highly tolerant";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001109";"AlvIe_Calc_pct";"ALVIe_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29006";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000210";"Dough alveograph extensibility index";"Quality traits";"It is the extensibility index of the dough. (p200/p)*100, p200: pressure (p) at 4 cm (l= 40mm) of the curve.";"";"AlvIe";"";"Dough";"Alveograph extensibility index";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001110";"AlvPG_Calc_Idx";"ALVPG_index";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29009";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000395";"Dough alveograph P/G";"Quality traits";"It is the p/g ratio.";"Tenacity/extensibility ratio";"AlvPG";"";"Dough";"Alveograph P/G";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001111";"AlvPL_Calc_Idx";"ALVPL_index";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29010";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000145";"Dough alveograph P/L";"Quality traits";"Ratio of tenacity (p, maximum pressure required for the deformation of the sample) and extensibility (l, length of the curve) of dough.";"Dough strength and extensibility";"AlvPL";"";"Dough";"Alveograph P/L";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001112";"AlvG_M_mm";"AVLG_mm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29017";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000211";"Dough alveograph value G";"Quality traits";"G stands for the square root of the volume of air in the bubble that was possible before the bubble burst. shows how flexible the dough was during the test.";"G value, Index of swelling";"AlvG";"";"Dough";"Alveograph value G";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000428";"mm";"Numerical";"1";"2";"40";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001113";"AlvL_M_mm";"ALVL_mm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29007";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000212";"Dough alveograph value L";"Quality traits";"L value is the extensibility of the dough before the bubble breaks. it is indicated by the length of the curve.";"L value, Dough extensibility";"AlvL";"";"Dough";"Alveograph value L";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000428";"mm";"Numerical";"1";"2";"40";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001114";"AlvP_M_mm";"ALVP_mm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29008";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000213";"Dough alveograph value P";"Quality traits";"P value is the force required to blow the bubble of dough. it is indicated by the maximum height of the curve.";"P value, Dough resistance, Dough tenacity";"AlvP";"";"Dough";"Alveograph value P";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000428";"mm";"Numerical";"1";"2";"40";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001115";"AlvW_M_joules";"ALVW_joules";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29011";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000144";"Dough alveograph value W";"Quality traits";"Dough strength by alveograph. W value is the area under the curve. it is a combination of dough strength (p value) and extensibility (l value).";"W value, Strength of dough";"AlvW";"";"Dough";"Alveograph value W";"";"";"CO_321:0000385";"ALVEOGRAPH determination AACC 54-30 A";"Measurement";"1. A sample of 60 grams or 250 grams of flour is mixed with a salt solution to form a dough. 2. The dough is sheeted, rested and inflated in the Chopin Alveograph, 2. Five 4.5 centimeter circular dough patties are formed and then rested in the alveograph in a temperature-regulated compartment at 25 degrees Celsius for approximately 20 minutes, 3. Each dough patty is tested individually. The alveograph blows air into a dough patty, which expands into a bubble that eventually breaks, 4. The pressure inside the bubble is recorded as a curve on graph paper. The alveograph determines the gluten strength of a dough by measuring the force required to blow and break a bubble of dough. The results include P Value, L Value, and W Value.";"xxxx";"";"CO_321:0000422";"joules";"Numerical";"0";"25";"350";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001619";"Amax_M_umolCO2m2s2";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001503";"Leaf light and carbon dioxide-saturated net photosynthesis";"Physiological traits";"Carbon fixation by photosynthesis at saturating light and CO2.";"";"Amax";"";"Leaf";"Light and carbon dioxide-saturated net photosynthesis";"";"";"CO_321:0001554";"Amax Measurement";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0001588";"µmol CO2/m2/s";"Numerical";"2";-5;"60";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001617";"Anet_M_umolCO2m2s2";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001501";"Leaf net photosynthesis rate";"Physiological traits";"Carbon fixation by photosynthesis.";"";"Anet";"";"Leaf";"Net photosynthesis rate";"";"";"CO_321:0001552";"Anet Measurement";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0001588";"µmol CO2/m2/s";"Numerical";"2";-5;"60";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001047";"Ant_date_ymd";"ANTD_yyyymmdd, ANTD, ANTDATE";"Trial evaluation";"Flowering half complete (DS65)";"";"BMS_29012";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000121";"Anthesis time";"Phenological traits";"Anthesis or flowering time is the period during which a flower is fully open and functional. pollination and fertilization occur during this period.";"Flowering time";"Ant";"Flowering, Flw, A";"Plant";"Anthesis time";"";"";"CO_321:0000832";"Ant DS65 date Estimation";"Estimation";"Record date of anthesis (DS65) when 50% of spikes have flowered (i.e. at least 1 anther dehisced).";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000850";"yyyymmdd";"Time";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001048";"Ant_dto_day";"DTA_days, DAYSAN, ANT";"Trial evaluation";"Flowering half complete (DS65)";"";"BMS_22674";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000121";"Anthesis time";"Phenological traits";"Anthesis or flowering time is the period during which a flower is fully open and functional. pollination and fertilization occur during this period.";"Flowering time";"Ant";"Flowering, Flw, A";"Plant";"Anthesis time";"";"";"CO_321:0000336";"Ant DS65 DT Computation";"Computation";"Number of days required from sowing to when 50% of spikes have flowered (DS65). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0.0";"40.0";"240.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001046";"AntDmg_E_pct";"ANTDMG_pct";"Trial evaluation";"After the event";"";"BMS_29013";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000084";"Ant damage";"Biotic stress traits";"The plant damage caused by ants.";"";"AntDmg";"";"Plant";"Ant damage";"";"";"CO_321:0000305";"AntDmg Estimation";"Estimation";"Standard method for ant damage.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001482";"AnthExt_E_pct";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Bhoja Basnet, Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000982";"Anther extrusion";"Agronomical traits";"Extrusion of anthers.";"";"AnthExt";"";"Anther";"Anther extrusion";"";"";"CO_321:0001011";"AnthExt Estimation";"Estimation";"Standard method for anther extrusion.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001483";"AnthExt_E_0to9";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Bhoja Basnet, Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000982";"Anther extrusion";"Agronomical traits";"Extrusion of anthers.";"";"AnthExt";"";"Anther";"Anther extrusion";"";"";"CO_321:0001011";"AnthExt Estimation";"Estimation";"Standard method for anther extrusion.";"";"";"CO_321:0001018";"0-9 AnthExt";"Ordinal";"1.0";"";"";"";"0= No anther extrusion";"3= 30% anther extrusion";"4= 40% anther extrusion";"1= 10% anther extrusion";"2= 20% anther extrusion";"7= 70% anther extrusion";"8= 80% anther extrusion";"5= 50% anther extrusion";"6= 60% anther extrusion";"8= >90% anther extrusion";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001049";"AphDmg_E_pct";"APHDMG_pct";"Trial evaluation";"After the event";"";"BMS_22924";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000085";"Aphid damage";"Biotic stress traits";"The plant damage caused by various species of aphids.";"DMGAPH";"AphDmg";"";"Plant";"Aphid damage";"";"";"CO_321:0000306";"AphDmg Estimation";"Estimation";"Standard method for aphid damage.";"";"Duveiller et al., 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Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Then, CRG is the production of biomass per day between initiation of booting and seven days after anthesis. Calculated as (Biomass 7DAA/m2 - Biomass InB/m2)/Days from InB to 7DAA.";"(Biomass 7DAA/m2 - Biomass InB/m2)/Days from InB to 7DAA.";"";"CO_321:0000420";"g/m2/day";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001256";"Chl_M_CCI";"CHL_CCI";"Trial evaluation";"DS12-DS85";"";"BMS_23055";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000028";"Leaf chlorophyll content";"Physiological traits";"Chlorophyll content in leaf green tissue. It includes both chlorophyll-a and chlorophyll-b. Chlorophyll is the green pigment found in plants.";"";"Chl";"ChloC, ChlCont, LChl";"Leaf";"Chlorophyll content";"";"";"CO_321:0000249";"Chl Measurement";"Measurement";"The chlorophyll content of leaves (and other green tissues) can be quickly, and non-destructively measured using a hand-held battery portable optical meter (e.g., Minolta SPAD-502 chlorophyll meter) which measures the chlorophyll content via light transmittance (absorbance of red light at 650 nm and infrared light at 940 nm) and compensates for differing leaf thicknesses. Readings from the instrument are not absolute chlorophyll values, instead each reading is a ?chlorophyll concentration index? (CCI, ranging from 0 to 99.9). Measurements are typically made on the flag leaf (once fully expanded), although measurements of lower leaves may be taken to assess canopy chlorophyll profiles.";"";"Pask et al., 2012 (Ch. 9)";"CO_321:0000418";"CCI";"Numerical";"1.0";"10.0";"75.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001620";"Ci_M_umolCO2mol1";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001504";"Leaf intercellular carbon dioxide concentration";"Physiological traits";"Intercellular carbon dioxide concentration.";"";"Ci";"";"Leaf";"Intercellular carbon dioxide concentration";"";"";"CO_321:0001555";"Ci Computation";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0001589";"µmol CO2/mol";"Numerical";"2.0";"0.0";"500.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001634";"CiCa_M_Idx";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001514";"Leaf intercellular to ambient carbon dioxide ratio";"Physiological traits";"Intercellular to ambient carbon dioxide ratio.";"";"CiCa";"";"Leaf";"Intercellular to ambient carbon dioxide ratio";"";"";"CO_321:0001569";"CiCa Measurement";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001182";"GCID_M_delta13C";"GRAINCID_delta";"Research-intensive characterization";"From DS87";"";"BMS_29073";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000195";"Grain carbon isotope discrimination";"Physiological traits";"Grain carbon isotope discrimination at maturity from drought trials provides genotypic effects most likely to be related to transpiration rate or an integrative measurement of stomatal conductance.";"";"GCID";"GrainCID";"Grain";"Carbon isotope discrimination";"";"";"CO_321:0000383";"CID determination";"Measurement";"Proceed following the protocol for sampling of grains or leaves for CID in Chapter 6 in Pask et al., 2012. Mass spectrometers generate differential values of stable carbon isotope composition (?13C), expressed negative values in parts per thousand (?) (Farquhar et al., 1989): ?13C (?) = [(Rsample/Rstandard)?1] x 1000. Where: the ratio of heavy to light isotope (R = 13C/12C) for the sample is in comparison to Peedee Belemnite (PDB) carbonate (limestone) standard. Following Farquhar et al. (1989) ? rather than using carbon isotope composition values (?13C), positive values for CID (?13C) can be calculated for easier statistical analysis as: ?13C = [(?a-?p)]/[1 + (?p/1000)]";"";"Pask et al., 2012 (Ch. 6), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000433";"delta 13C";"Numerical";"2.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001255";"LeafCID_M_delta13C";"LEAVESCID_delta";"Research-intensive characterization";"From DS21";"";"BMS_29116";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000196";"Leaf carbon isotope discrimination";"Physiological traits";"Leaves carbon isotope discrimination can be measured in the leaves during early canopy development in well irrigated trials, in which case genotypic effects will be related mainly to transpiration efficiency.";"";"LeafCID";"LeavesCID";"Leaf";"Carbon isotope discrimination";"";"";"CO_321:0000383";"CID determination";"Measurement";"Proceed following the protocol for sampling of grains or leaves for CID in Chapter 6 in Pask et al., 2012. Mass spectrometers generate differential values of stable carbon isotope composition (?13C), expressed negative values in parts per thousand (?) (Farquhar et al., 1989): ?13C (?) = [(Rsample/Rstandard)?1] x 1000. Where: the ratio of heavy to light isotope (R = 13C/12C) for the sample is in comparison to Peedee Belemnite (PDB) carbonate (limestone) standard. Following Farquhar et al. (1989) ? rather than using carbon isotope composition values (?13C), positive values for CID (?13C) can be calculated for easier statistical analysis as: ?13C = [(?a-?p)]/[1 + (?p/1000)]";"";"Pask et al., 2012 (Ch. 6), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000433";"delta 13C";"Numerical";"2.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001097";"ColdTol_E_pct";"COLDTOL_pct";"Nursery/Trial evaluation";"After the event";"";"BMS_23207";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000080";"Cold tolerance";"Abiotic stress traits";"Plant tolerance to lower temperatures than the optimum.";"Low temperature tolerance, Cold susceptibility";"ColdTol";"COLDTOL, CLDTOL";"Plant";"Cold tolerance";"";"";"CO_321:0000302";"ColdTol Estimation";"Estimation";"Observe the growth of plants per plot/entry at temperature lower than the optimum temperature and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001098";"ColdTol_E_1to5";"COLDTOL_1_5";"Nursery/Trial evaluation";"After the event";"";"BMS_29027";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000080";"Cold tolerance";"Abiotic stress traits";"Plant tolerance to lower temperatures than the optimum.";"Low temperature tolerance, Cold susceptibility";"ColdTol";"COLDTOL, CLDTOL";"Plant";"Cold tolerance";"";"";"CO_321:0000302";"ColdTol Estimation";"Estimation";"Observe the growth of plants per plot/entry at temperature lower than the optimum temperature and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000464";"1-5 TOL scale";"Ordinal";"1.0";"";"";"";"1= highly susceptible";"4= tolerant";"5= highly tolerant";"2= susceptible";"3= intermediate";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001099";"ColeopLng_M_cm";"COLEOPLNG _cm";"Research-intensive characterization";"DS09-DS10";"";"BMS_29028";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000029";"Coleoptile length";"Morphological traits";"Length of coleoptile (a protective sheath that surrounds the shoot tip and the embryonic leaves of the young shoot of grasses).";"";"ColeopLng";"";"Coleoptile";"Length";"";"";"CO_321:0000250";"ColeopLng Measurement";"Measurement";"Standard method for coleoptile length.";"";"";"CO_321:0000411";"cm";"Numerical";"1.0";"5.0";"90.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001102";"CookSdF_M_Idx";"COKSDF_index";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29026";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000064";"Cookie spread factor";"Quality traits";"The ratio between average height and width of cookies.";"";"CookSdF";"COKSDF";"Cookie";"Spread factor";"";"";"CO_321:0000286";"CookSdF Measurement";"Measurement";"Standard method for cookie spread factor.";"";"";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001079";"CrmStr_E_1to5";"CRMSTR_1_5";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29030";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000065";"Bread crumb structure";"Quality traits";"The cellular structure of wheat bread crumb.";"";"CrmStr";"";"Bread";"Structure";"";"";"CO_321:0000287";"CrmStr Estimation";"Estimation";"Standard method for crumb structure.";"";"";"CO_321:0000462";"1-5 scoring scale";"Ordinal";"1.0";"";"";"";"1= very poor (VP)";"4= good (G)";"5= very good (VG)";"2= poor (P)";"3= fair (F)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001105";"CropGrwRate_Calc_gm2day";"CROPGRWRATE_g_m2_day";"Research-intensive characterization";"DS05-DS89";"";"BMS_29031";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000407";"Crop growth rate";"Physiological traits";"It is the rate of dry matter production per unit area.";"";"CGR";"CGR";"Plant";"Biomass production";"";"";"CO_321:0000408";"CropGrwRate Computation";"Computation";"Standard method for crop growth rate.";"xxxx";"Karimi and Siddique, 1991";"CO_321:0000420";"g/m2/day";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001094";"CT_M_C";"CT_C";"Nursery/Trial evaluation";"DS24-DS81";"";"BMS_29032";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000193";"Canopy temperature";"Physiological traits";"The surface temperature of the canopy is related to the amount of transpiration resulting in evaporative cooling.";"";"CT";"CanoTemp, CanTemp";"Canopy";"Temperature";"";"";"CO_321:0000381";"CT Measurement";"Measurement";"Take measurements at least two times from full ground cover to the end of booting ('pre-heading'), and at least two times from the end of anthesis to late grainfilling ('grain-filling') -with 5-7 days between each measurement to give a reasonably heritable estimate of trait expression.";"";"Pask et al., 2012 (Ch. 1)";"CO_321:0000414";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001095";"CTD_Calc_C";"CTD_C";"Nursery/Trial evaluation";"Pre-heading and during grain-filling";"";"BMS_23015";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000006";"Canopy temperature depression";"Physiological traits";"Difference between ambient temperature and canopy temperature.";"";"CTD";"";"Canopy";"Temperature depression";"";"";"CO_321:0000230";"CTD Computation";"Computation";"Standard method for canopy temperature depression.";"xxxx";"Pask et al., 2012 (Ch. 1)";"CO_321:0000414";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001329";"DnoxiDmg_E_pct";"DNOXI_pct";"Trial evaluation";"After the event";"";"BMS_29033";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000091";"Russian wheat aphid damage";"Biotic stress traits";"The plant damage caused by Russian wheat aphid, Diuraphis noxis.";"";"DnoxiDmg";"DNOXI";"Plant";"Russian wheat aphid damage";"";"";"CO_321:0000311";"DnoxiDmg Estimation";"Estimation";"Standard method for russian wheat aphid damage.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001054";"BLBSev_E_00to99";"BLB_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22826";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000932";"Bacterial leaf blight severity";"Biotic stress traits";"Wheat bacterial leaf blight severity in the plants caused by the agent Pseudomonas syringae pv. syringae. symptoms: small (less than 0.04 inches) water-soaked lesions expand and eventually coalesce. initial lesions become necrotic and turn from gray-green to tan-white. Entire leaves may become necrotic, but heads and glumes are typically symptomless.";"BLB, PSYRI";"BLBSev";"PsyriSev";"Leaf";"Bacterial leaf blight severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001055";"BLSSev_E_00to99";"BLS_00_99";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29019";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0001019";"Bacterial leaf streak severity";"Biotic stress traits";"Bacterial leaf streak severity in the plants caused by the agent Xanthomonas translucens. The disease, called black chaff when on the glumes.";"BLS, black chaff";"BLSSev";"PsyriSev";"Leaf";"Bacterial leaf streak severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001064";"RSecaSev_E_00to99text";"RSECA_00_99text__SEV";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22813";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000710";"Barley scald severity";"Biotic stress traits";"Barley scald severity in the plants caused by the agent Rhynchosporium secalis.";"";"RsecaSev";"RSECA";"Plant";"Barley scald severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001065";"RsecaSev_E_00to99";"RSECA_00_99__SEV";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22811";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000710";"Barley scald severity";"Biotic stress traits";"Barley scald severity in the plants caused by the agent Rhynchosporium secalis.";"";"RsecaSev";"RSECA";"Plant";"Barley scald severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001151";"FgramSev_E_00to99text";"FGRAM_00_99text__SEV";"Trial evaluation";"From DS75";"Obsolete/legacy";"BMS_22866";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000926";"Fusarium graminearum severity";"Biotic stress traits";"Fusarium graminearum severity in the plants.";"";"FgramSev";"FGRAML";"Spike";"Fusarium graminearum severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001152";"FgramSev_E_00to99";"FGRAM_00_99__SEV";"Trial evaluation";"From DS75";"";"BMS_22865";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000926";"Fusarium graminearum severity";"Biotic stress traits";"Fusarium graminearum severity in the plants.";"";"FgramSev";"FGRAML";"Spike";"Fusarium graminearum severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001165";"FnivLBSev_E_00to99text";"FNIVLB_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22798";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000653";"Fusarium leaf blotch severity";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) severity in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBSev";"";"Plant";"Fusarium leaf blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001166";"FnivLBSev_E_00to99";"FNIVLB_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22795";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000653";"Fusarium leaf blotch severity";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) severity in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBSev";"";"Plant";"Fusarium leaf blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001240";"HelSpSev_E_00to99text";"HELSP_00_99text";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22754";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000686";"Helminthosporium species severity";"Biotic stress traits";"The disease severity in the plants caused by the agent Helminthosporium species.";"";"HelSpSev";"";"Plant";"Helminthosporium species severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001241";"HelSpSev_E_00to99";"HELSP_00_99";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22752";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000686";"Helminthosporium species severity";"Biotic stress traits";"The disease severity in the plants caused by the agent Helminthosporium species.";"";"HelSpSev";"";"Plant";"Helminthosporium species severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001293";"HtereSev_E_00to99";"HTERE_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22815";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000406";"Net blotch severity";"Biotic stress traits";"Net blotch severity in the plants caused by the agent Pyrenophora teres (Helminthosporium teres).";"";"HtereSev";"";"Leaf";"Net blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001319";"EgramSev_E_00to99text";"EGRAM_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"Obsolete/legacy";"BMS_22803";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000939";"Powdery mildew severity";"Biotic stress traits";"Powdery mildew severity in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramSev";"EGRAM";"Leaf";"Powdery mildew severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001320";"EgramSev_E_00to99";"EGRAM_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_22806";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000939";"Powdery mildew severity";"Biotic stress traits";"Powdery mildew severity in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramSev";"EGRAM";"Leaf";"Powdery mildew severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001342";"SepSpSev_E_00to99text";"SEPSP_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23029";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000714";"Septoria blotch severity";"Biotic stress traits";"Septoria blotch severity in the plants caused by the agent Septoria species.";"";"SepSpSev";"";"Leaf";"Septoria blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001344";"SepSpSev_E_00to99";"SEPSP_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23026";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000714";"Septoria blotch severity";"Biotic stress traits";"Septoria blotch severity in the plants caused by the agent Septoria species.";"";"SepSpSev";"";"Leaf";"Septoria blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001349";"SnodoSev_E_00to99+text";"SNODO_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22776";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000717";"Septoria nodorum blotch severity";"Biotic stress traits";"Septoria nodorum blotch severity in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoSev";"";"Plant";"Septoria nodorum blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001355";"StritSev_E_00to99text";"STRIT_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22771";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000718";"Septoria tritici blotch severity";"Biotic stress traits";"Septoria tritici blotch severity in the plants caused by the agent Mycosphaerella graminicola (Septoria tritici). symptoms: the lesions are linear and restricted laterally.";"";"StritSev";"STRIT";"Plant";"Septoria tritici blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001356";"StritSev_E_00to99";"STRIT_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22768";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000718";"Septoria tritici blotch severity";"Biotic stress traits";"Septoria tritici blotch severity in the plants caused by the agent Mycosphaerella graminicola (Septoria tritici). symptoms: the lesions are linear and restricted laterally.";"";"StritSev";"STRIT";"Plant";"Septoria tritici blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001374";"HsatiLSev_E_00to99text";"HSATIL_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22786";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000723";"Spot blotch severity";"Biotic stress traits";"Spot blotch severity in the plants caused by the agent Cochliobolus sativus (Helminthosporium sativum).";"";"HsatiLSev";"HSATIL";"Leaf";"Spot blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001375";"HsatiLSev_E_00to99";"HSATIL_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22783";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000723";"Spot blotch severity";"Biotic stress traits";"Spot blotch severity in the plants caused by the agent Cochliobolus sativus (Helminthosporium sativum).";"";"HsatiLSev";"HSATIL";"Leaf";"Spot blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" -"";"CO_321:0001406";"TanSpotSev_E_00to99text";"TANSPOT_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22792";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000650";"Tan spot severity";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) severity in the plants caused by the agent Pyrenophora tritici-repentis (Helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSev";"";"Leaf";"Tan spot severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001407";"TanSpotSev_E_00to99";"TANSPOT_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22790";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000650";"Tan spot severity";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) severity in the plants caused by the agent Pyrenophora tritici-repentis (Helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSev";"";"Leaf";"Tan spot severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";"";"";"";"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" +"";"CO_321:0001076";"Boot_dto_day";"DTB_days, DTB, BOOT";"Research-intensive characterization";"Boot swollen (DS45)";"";"BMS_29037";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000191";"Booting time";"Phenological traits";"Booting time is just prior to spike emergence, when the flag leaf sheath encloses the growing spike.";"";"Boot";"Booting, B";"Plant";"Booting time";"";"";"CO_321:0000376";"Boot DS45 DT Computation";"Computation";"Number of days from sowing to booting stage (DS45). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0";"40";"240";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001066";"BSMV_E_0to9pct";"BSMV_0_9";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_29025";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000095";"Barley stripe mosaic incidence";"Biotic stress traits";"Barley stripe mosaic incidence in the plants caused by barley stripe mosaic virus.";"";"BSMV";"";"Plant";"Barley stripe mosaic incidence";"";"";"CO_321:0000315";"BSMV Estimation";"Estimation";"Standard method for barley stripe mosaic virus incidence.";"";"Duveiller et al., 2012";"CO_321:0000446";"0-9 percentage scale";"Ordinal";"1";"";"";"";"0= No visible affection";"1= 10% coverage";"2= 20% coverage";"3= 30% coverage";"4= 40% coverage";"5= 50% coverage";"6= 60% coverage";"7= 70% coverage";"8= 80% coverage";"9= 90% coverage";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001078";"BTol_E_1to9";"BORONTOL_1_9";"Nursery/Trial evaluation";"DS15-DS65";"";"BMS_29024";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000678";"Boron tolerance";"Abiotic stress traits";"Plant tolerance to high levels of soil boron.";"";"BTol";"BORONTOL";"Plant";"Boron tolerance";"";"";"CO_321:0000792";"BTol Estimation";"Estimation";"The response of a cultivar or genotype is expressed on a score 1-9, where 1= highly susceptible and 9 = highly tolerant, based on the extent of bronze colored necrosis of leaf tips extending down the leaf margins";"";"";"CO_321:0000468";"1-9 TOL scale";"Ordinal";"1";"";"";"";"1= highly susceptible";"2= highly susceptible to susceptible";"3= susceptible";"4= susceptible to moderately susceptible";"5= moderately susceptible";"6= moderately susceptible to moderately tolerant";"7= moderately tolerant";"8= tolerant";"9= highly tolerant";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001067";"BYDInc_E_0to9pcttext";"BYD_0_9text";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"Obsolete/legacy";"BMS_22848";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000096";"Barley yellow dwarf incidence";"Biotic stress traits";"Wheat yellow dwarf incidence in the plants caused by the agent wheat yellow dwarf virus.";"";"BYDInc";"BYDV";"Plant";"Barley yellow dwarf incidence";"";"";"CO_321:0000316";"BYDInc Estimation";"Estimation";"Standard method for barley yellow dwarf incidence.";"";"Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001068";"BYDInc_E_pct";"BYD_pct";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_22849";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"9-Oct-19";"EN";"Wheat";"CO_321:0000096";"Barley yellow dwarf incidence";"Biotic stress traits";"Wheat yellow dwarf incidence in the plants caused by the agent wheat yellow dwarf virus.";"";"BYDInc";"BYDV";"Plant";"Barley yellow dwarf incidence";"";"";"CO_321:0000316";"BYDInc Estimation";"Estimation";"Standard method for barley yellow dwarf incidence.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001082";"NPQI_M_Idx";"NPQI_index";"Trial evaluation";"DS10-DS85";"";"BMS_29124";"CIMMYT";"Rosemary Shrestha, Julian 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index 2";"Physiological traits";"Normalized water index 2 is used track changes in rwc, leaf water potential, stomatal conductance, and foliage minus air temperature differences when plant water stress is well developed (rwc<0.85).";"";"NWI2";"";"Canopy";"Normalized water index 2";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001086";"NWI4_M_Idx";"NWI4_index";"Trial evaluation";"DS10-DS85";"";"BMS_29128";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000201";"Canopy normalized water index 4";"Physiological traits";"Normalized water index 4 is used track changes in rwc, leaf water potential, stomatal conductance, and foliage minus air temperature differences when plant water stress is well developed (rwc<0.85).";"";"NWI4";"";"Canopy";"Normalized water index 4";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001087";"PRI_M_Idx";"PRI_index";"Trial evaluation";"DS10-DS85";"";"BMS_29145";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000202";"Canopy photochemical reflectance index";"Physiological traits";"Photochemical reflectance index is correlated with the de-epoxidation stage of the xanthophylls cycle, with zeaxanthin, and with radiation-use efficiency (filella et al., 1996). higher pri values indicate greater efficiency.";"";"PRI";"";"Canopy";"Photochemical reflectance index";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001088";"RARSc_M_Idx";"RARSc_index";"Trial evaluation";"DS10-DS85";"";"BMS_29153";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000203";"Canopy ratio analysis of reflectance spectra carotenoid";"Physiological traits";"Rarsc is an estimation of carotenoid content.";"";"RARSc";"";"Canopy";"Ratio analysis of reflectance spectra carotenoid";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001089";"RARSa_M_Idx";"RARSa_index";"Trial evaluation";"DS10-DS85";"";"BMS_29151";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000204";"Canopy ratio analysis of reflectance spectra chlorophyll a";"Physiological traits";"Rarsa is an estimation of chlorophyll a content.";"";"RARSa";"";"Canopy";"Ratio analysis of reflectance spectra chlorophyll a";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001090";"RARSb_M_Idx";"RARSb_index";"Trial evaluation";"DS10-DS85";"";"BMS_29152";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000205";"Canopy ratio analysis of reflectance spectra chlorophyll b";"Physiological traits";"Rarsb is an estimation of chlorophyll b content.";"";"RARSb";"";"Canopy";"Ratio analysis of reflectance spectra chlorophyll b";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001091";"SR_M_Idx";"SR_index";"Trial evaluation";"DS10-DS85";"";"BMS_29174";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000206";"Canopy simple ratio";"Physiological traits";"A vegetation index related with canopy structure, light absorption and photosynthetic capacity.";"";"SR";"";"Canopy";"Simple ratio";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001093";"SIPI_M_Idx";"SIPI_index";"Trial evaluation";"DS10-DS85";"";"BMS_29170";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000208";"Canopy structural independent pigment index";"Physiological traits";"Structural independent pigment index uses wavelengths showing the best semi-empirical estimation of the carotenoid chlorophyll a ratio (car:chla ratio), and its formulation minimizes the disrupting effects of leaf surface and mesophyll structure.";"";"SIPI";"";"Canopy";"Structural independent pigment index";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001096";"WI_M_Idx";"WI_index";"Trial evaluation";"DS10-DS85";"";"BMS_29204";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000209";"Canopy water index";"Physiological traits";"Water index use reflectance at 970 nm as a wavelength sensitive to water content, while reflectance at 900 nm is taken as a reference which is similarly affected by canopy and leaf structures but with null absorption by water.";"";"WI";"";"Canopy";"Water index";"";"";"CO_321:0000364";"Canopy spectral reflectance Measurement";"Measurement";"Standard method for spectral reflectance.";"";"Pask et al., 2012 (Ch. 7), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001597";"CGR_Calc_gm2day";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0000407";"Crop growth rate";"Physiological traits";"It is the rate of dry matter production per unit area.";"";"CGR";"CGR";"Plant";"Biomass production";"";"";"CO_321:0001532";"CGR Computation";"Computation";"It is measured during rapid spike growth phase. Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Then, CRG is the production of biomass per day between initiation of booting and seven days after anthesis. Calculated as (Biomass 7DAA/m2 - Biomass InB/m2)/Days from InB to 7DAA.";"(Biomass 7DAA/m2 - Biomass InB/m2)/Days from InB to 7DAA.";"";"CO_321:0000420";"g/m2/day";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001256";"Chl_M_CCI";"CHL_CCI";"Trial evaluation";"DS12-DS85";"";"BMS_23055";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000028";"Leaf chlorophyll content";"Physiological traits";"Chlorophyll content in leaf green tissue. It includes both chlorophyll-a and chlorophyll-b. Chlorophyll is the green pigment found in plants.";"";"Chl";"ChloC, ChlCont, LChl";"Leaf";"Chlorophyll content";"";"";"CO_321:0000249";"Chl Measurement";"Measurement";"The chlorophyll content of leaves (and other green tissues) can be quickly, and non-destructively measured using a hand-held battery portable optical meter (e.g., Minolta SPAD-502 chlorophyll meter) which measures the chlorophyll content via light transmittance (absorbance of red light at 650 nm and infrared light at 940 nm) and compensates for differing leaf thicknesses. Readings from the instrument are not absolute chlorophyll values, instead each reading is a ?chlorophyll concentration index? (CCI, ranging from 0 to 99.9). Measurements are typically made on the flag leaf (once fully expanded), although measurements of lower leaves may be taken to assess canopy chlorophyll profiles.";"";"Pask et al., 2012 (Ch. 9)";"CO_321:0000418";"CCI";"Numerical";"1";"10";"75";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001620";"Ci_M_umolCO2mol1";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001504";"Leaf intercellular carbon dioxide concentration";"Physiological traits";"Intercellular carbon dioxide concentration.";"";"Ci";"";"Leaf";"Intercellular carbon dioxide concentration";"";"";"CO_321:0001555";"Ci Computation";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0001589";"µmol CO2/mol";"Numerical";"2";"0";"500";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001634";"CiCa_M_Idx";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001514";"Leaf intercellular to ambient carbon dioxide ratio";"Physiological traits";"Intercellular to ambient carbon dioxide ratio.";"";"CiCa";"";"Leaf";"Intercellular to ambient carbon dioxide ratio";"";"";"CO_321:0001569";"CiCa Measurement";"Measurement";"Standard method for gas exchange and fluorescence measurements.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001182";"GCID_M_delta13C";"GRAINCID_delta";"Research-intensive characterization";"From DS87";"";"BMS_29073";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000195";"Grain carbon isotope discrimination";"Physiological traits";"Grain carbon isotope discrimination at maturity from drought trials provides genotypic effects most likely to be related to transpiration rate or an integrative measurement of stomatal conductance.";"";"GCID";"GrainCID";"Grain";"Carbon isotope discrimination";"";"";"CO_321:0000383";"CID determination";"Measurement";"Proceed following the protocol for sampling of grains or leaves for CID in Chapter 6 in Pask et al., 2012. Mass spectrometers generate differential values of stable carbon isotope composition (?13C), expressed negative values in parts per thousand (?) (Farquhar et al., 1989): ?13C (?) = [(Rsample/Rstandard)?1] x 1000. Where: the ratio of heavy to light isotope (R = 13C/12C) for the sample is in comparison to Peedee Belemnite (PDB) carbonate (limestone) standard. Following Farquhar et al. (1989) ? rather than using carbon isotope composition values (?13C), positive values for CID (?13C) can be calculated for easier statistical analysis as: ?13C = [(?a-?p)]/[1 + (?p/1000)]";"";"Pask et al., 2012 (Ch. 6), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000433";"delta 13C";"Numerical";"2";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001255";"LeafCID_M_delta13C";"LEAVESCID_delta";"Research-intensive characterization";"From DS21";"";"BMS_29116";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000196";"Leaf carbon isotope discrimination";"Physiological traits";"Leaves carbon isotope discrimination can be measured in the leaves during early canopy development in well irrigated trials, in which case genotypic effects will be related mainly to transpiration efficiency.";"";"LeafCID";"LeavesCID";"Leaf";"Carbon isotope discrimination";"";"";"CO_321:0000383";"CID determination";"Measurement";"Proceed following the protocol for sampling of grains or leaves for CID in Chapter 6 in Pask et al., 2012. Mass spectrometers generate differential values of stable carbon isotope composition (?13C), expressed negative values in parts per thousand (?) (Farquhar et al., 1989): ?13C (?) = [(Rsample/Rstandard)?1] x 1000. Where: the ratio of heavy to light isotope (R = 13C/12C) for the sample is in comparison to Peedee Belemnite (PDB) carbonate (limestone) standard. Following Farquhar et al. (1989) ? rather than using carbon isotope composition values (?13C), positive values for CID (?13C) can be calculated for easier statistical analysis as: ?13C = [(?a-?p)]/[1 + (?p/1000)]";"";"Pask et al., 2012 (Ch. 6), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000433";"delta 13C";"Numerical";"2";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001097";"ColdTol_E_pct";"COLDTOL_pct";"Nursery/Trial evaluation";"After the event";"";"BMS_23207";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000080";"Cold tolerance";"Abiotic stress traits";"Plant tolerance to lower temperatures than the optimum.";"Low temperature tolerance, Cold susceptibility";"ColdTol";"COLDTOL, CLDTOL";"Plant";"Cold tolerance";"";"";"CO_321:0000302";"ColdTol Estimation";"Estimation";"Observe the growth of plants per plot/entry at temperature lower than the optimum temperature and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001098";"ColdTol_E_1to5";"COLDTOL_1_5";"Nursery/Trial evaluation";"After the event";"";"BMS_29027";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000080";"Cold tolerance";"Abiotic stress traits";"Plant tolerance to lower temperatures than the optimum.";"Low temperature tolerance, Cold susceptibility";"ColdTol";"COLDTOL, CLDTOL";"Plant";"Cold tolerance";"";"";"CO_321:0000302";"ColdTol Estimation";"Estimation";"Observe the growth of plants per plot/entry at temperature lower than the optimum temperature and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000464";"1-5 TOL scale";"Ordinal";"1";"";"";"";"1= highly susceptible";"2= susceptible";"3= intermediate";"4= tolerant";"5= highly tolerant";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001099";"ColeopLng_M_cm";"COLEOPLNG _cm";"Research-intensive characterization";"DS09-DS10";"";"BMS_29028";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000029";"Coleoptile length";"Morphological traits";"Length of coleoptile (a protective sheath that surrounds the shoot tip and the embryonic leaves of the young shoot of grasses).";"";"ColeopLng";"";"Coleoptile";"Length";"";"";"CO_321:0000250";"ColeopLng Measurement";"Measurement";"Standard method for coleoptile length.";"";"";"CO_321:0000411";"cm";"Numerical";"1";"5";"90";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001102";"CookSdF_M_Idx";"COKSDF_index";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29026";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000064";"Cookie spread factor";"Quality traits";"The ratio between average height and width of cookies.";"";"CookSdF";"COKSDF";"Cookie";"Spread factor";"";"";"CO_321:0000286";"CookSdF Measurement";"Measurement";"Standard method for cookie spread factor.";"";"";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001079";"CrmStr_E_1to5";"CRMSTR_1_5";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29030";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000065";"Bread crumb structure";"Quality traits";"The cellular structure of wheat bread crumb.";"";"CrmStr";"";"Bread";"Structure";"";"";"CO_321:0000287";"CrmStr Estimation";"Estimation";"Standard method for crumb structure.";"";"";"CO_321:0000462";"1-5 scoring scale";"Ordinal";"1";"";"";"";"1= very poor (VP)";"2= poor (P)";"3= fair (F)";"4= good (G)";"5= very good (VG)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001105";"CropGrwRate_Calc_gm2day";"CROPGRWRATE_g_m2_day";"Research-intensive characterization";"DS05-DS89";"";"BMS_29031";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000407";"Crop growth rate";"Physiological traits";"It is the rate of dry matter production per unit area.";"";"CGR";"CGR";"Plant";"Biomass production";"";"";"CO_321:0000408";"CropGrwRate Computation";"Computation";"Standard method for crop growth rate.";"xxxx";"Karimi and Siddique, 1991";"CO_321:0000420";"g/m2/day";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001094";"CT_M_C";"CT_C";"Nursery/Trial evaluation";"DS24-DS81";"";"BMS_29032";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000193";"Canopy temperature";"Physiological traits";"The surface temperature of the canopy is related to the amount of transpiration resulting in evaporative cooling.";"";"CT";"CanoTemp, CanTemp";"Canopy";"Temperature";"";"";"CO_321:0000381";"CT Measurement";"Measurement";"Take measurements at least two times from full ground cover to the end of booting ('pre-heading'), and at least two times from the end of anthesis to late grainfilling ('grain-filling') -with 5-7 days between each measurement to give a reasonably heritable estimate of trait expression.";"";"Pask et al., 2012 (Ch. 1)";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001095";"CTD_Calc_C";"CTD_C";"Nursery/Trial evaluation";"Pre-heading and during grain-filling";"";"BMS_23015";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000006";"Canopy temperature depression";"Physiological traits";"Difference between ambient temperature and canopy temperature.";"";"CTD";"";"Canopy";"Temperature depression";"";"";"CO_321:0000230";"CTD Computation";"Computation";"Standard method for canopy temperature depression.";"xxxx";"Pask et al., 2012 (Ch. 1)";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001329";"DnoxiDmg_E_pct";"DNOXI_pct";"Trial evaluation";"After the event";"";"BMS_29033";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000091";"Russian wheat aphid damage";"Biotic stress traits";"The plant damage caused by Russian wheat aphid, Diuraphis noxis.";"";"DnoxiDmg";"DNOXI";"Plant";"Russian wheat aphid damage";"";"";"CO_321:0000311";"DnoxiDmg Estimation";"Estimation";"Standard method for russian wheat aphid damage.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001054";"BLBSev_E_00to99";"BLB_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22826";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000932";"Bacterial leaf blight severity";"Biotic stress traits";"Wheat bacterial leaf blight severity in the plants caused by the agent Pseudomonas syringae pv. syringae. symptoms: small (less than 0.04 inches) water-soaked lesions expand and eventually coalesce. initial lesions become necrotic and turn from gray-green to tan-white. Entire leaves may become necrotic, but heads and glumes are typically symptomless.";"BLB, PSYRI";"BLBSev";"PsyriSev";"Leaf";"Bacterial leaf blight severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001055";"BLSSev_E_00to99";"BLS_00_99";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29019";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0001019";"Bacterial leaf streak severity";"Biotic stress traits";"Bacterial leaf streak severity in the plants caused by the agent Xanthomonas translucens. The disease, called black chaff when on the glumes.";"BLS, black chaff";"BLSSev";"PsyriSev";"Leaf";"Bacterial leaf streak severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001064";"RSecaSev_E_00to99text";"RSECA_00_99text__SEV";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22813";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000710";"Barley scald severity";"Biotic stress traits";"Barley scald severity in the plants caused by the agent Rhynchosporium secalis.";"";"RsecaSev";"RSECA";"Plant";"Barley scald severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001065";"RsecaSev_E_00to99";"RSECA_00_99__SEV";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22811";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000710";"Barley scald severity";"Biotic stress traits";"Barley scald severity in the plants caused by the agent Rhynchosporium secalis.";"";"RsecaSev";"RSECA";"Plant";"Barley scald severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001151";"FgramSev_E_00to99text";"FGRAM_00_99text__SEV";"Trial evaluation";"From DS75";"Obsolete/legacy";"BMS_22866";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000926";"Fusarium graminearum severity";"Biotic stress traits";"Fusarium graminearum severity in the plants.";"";"FgramSev";"FGRAML";"Spike";"Fusarium graminearum severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001152";"FgramSev_E_00to99";"FGRAM_00_99__SEV";"Trial evaluation";"From DS75";"";"BMS_22865";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000926";"Fusarium graminearum severity";"Biotic stress traits";"Fusarium graminearum severity in the plants.";"";"FgramSev";"FGRAML";"Spike";"Fusarium graminearum severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001165";"FnivLBSev_E_00to99text";"FNIVLB_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22798";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000653";"Fusarium leaf blotch severity";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) severity in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBSev";"";"Plant";"Fusarium leaf blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001166";"FnivLBSev_E_00to99";"FNIVLB_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22795";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000653";"Fusarium leaf blotch severity";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) severity in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBSev";"";"Plant";"Fusarium leaf blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001240";"HelSpSev_E_00to99text";"HELSP_00_99text";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22754";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000686";"Helminthosporium species severity";"Biotic stress traits";"The disease severity in the plants caused by the agent Helminthosporium species.";"";"HelSpSev";"";"Plant";"Helminthosporium species severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001241";"HelSpSev_E_00to99";"HELSP_00_99";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22752";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000686";"Helminthosporium species severity";"Biotic stress traits";"The disease severity in the plants caused by the agent Helminthosporium species.";"";"HelSpSev";"";"Plant";"Helminthosporium species severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001293";"HtereSev_E_00to99";"HTERE_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22815";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000406";"Net blotch severity";"Biotic stress traits";"Net blotch severity in the plants caused by the agent Pyrenophora teres (Helminthosporium teres).";"";"HtereSev";"";"Leaf";"Net blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001319";"EgramSev_E_00to99text";"EGRAM_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"Obsolete/legacy";"BMS_22803";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000939";"Powdery mildew severity";"Biotic stress traits";"Powdery mildew severity in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramSev";"EGRAM";"Leaf";"Powdery mildew severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001320";"EgramSev_E_00to99";"EGRAM_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_22806";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000939";"Powdery mildew severity";"Biotic stress traits";"Powdery mildew severity in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramSev";"EGRAM";"Leaf";"Powdery mildew severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001342";"SepSpSev_E_00to99text";"SEPSP_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23029";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000714";"Septoria blotch severity";"Biotic stress traits";"Septoria blotch severity in the plants caused by the agent Septoria species.";"";"SepSpSev";"";"Leaf";"Septoria blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001344";"SepSpSev_E_00to99";"SEPSP_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23026";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000714";"Septoria blotch severity";"Biotic stress traits";"Septoria blotch severity in the plants caused by the agent Septoria species.";"";"SepSpSev";"";"Leaf";"Septoria blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001349";"SnodoSev_E_00to99+text";"SNODO_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22776";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000717";"Septoria nodorum blotch severity";"Biotic stress traits";"Septoria nodorum blotch severity in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoSev";"";"Plant";"Septoria nodorum blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001355";"StritSev_E_00to99text";"STRIT_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22771";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000718";"Septoria tritici blotch severity";"Biotic stress traits";"Septoria tritici blotch severity in the plants caused by the agent Mycosphaerella graminicola (Septoria tritici). symptoms: the lesions are linear and restricted laterally.";"";"StritSev";"STRIT";"Plant";"Septoria tritici blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001356";"StritSev_E_00to99";"STRIT_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22768";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000718";"Septoria tritici blotch severity";"Biotic stress traits";"Septoria tritici blotch severity in the plants caused by the agent Mycosphaerella graminicola (Septoria tritici). symptoms: the lesions are linear and restricted laterally.";"";"StritSev";"STRIT";"Plant";"Septoria tritici blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001374";"HsatiLSev_E_00to99text";"HSATIL_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22786";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000723";"Spot blotch severity";"Biotic stress traits";"Spot blotch severity in the plants caused by the agent Cochliobolus sativus (Helminthosporium sativum).";"";"HsatiLSev";"HSATIL";"Leaf";"Spot blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001375";"HsatiLSev_E_00to99";"HSATIL_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22783";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000723";"Spot blotch severity";"Biotic stress traits";"Spot blotch severity in the plants caused by the agent Cochliobolus sativus (Helminthosporium sativum).";"";"HsatiLSev";"HSATIL";"Leaf";"Spot blotch severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" +"";"CO_321:0001406";"TanSpotSev_E_00to99text";"TANSPOT_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22792";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000650";"Tan spot severity";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) severity in the plants caused by the agent Pyrenophora tritici-repentis (Helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSev";"";"Leaf";"Tan spot severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001407";"TanSpotSev_E_00to99";"TANSPOT_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22790";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000650";"Tan spot severity";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) severity in the plants caused by the agent Pyrenophora tritici-repentis (Helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSev";"";"Leaf";"Tan spot severity";"";"";"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1";"";"";"";"00= no disease";"10= 10";"11= 10% plant height affected, 10% coverage";"12= 10% plant height affected, 20% coverage";"13= 10% plant height affected, 30% coverage";"14= 10% plant height affected, 40% coverage";"15= 10% plant height affected, 50% coverage";"16= 10% plant height affected, 60% coverage";"17= 10% plant height affected, 70% coverage";"18= 10% plant height affected, 80% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"27= 20% plant height affected, 70% coverage";"28= 20% plant height affected, 80% coverage";"29= 20% plant height affected, 90% coverage";"30= 30";"31= 30% plant height affected, 10% coverage";"32= 30% plant height affected, 20% coverage";"33= 30% plant height affected, 30% coverage";"34= 30% plant height affected, 40% coverage";"35= 30% plant height affected, 50% coverage";"36= 30% plant height affected, 60% coverage";"37= 30% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"39= 30% plant height affected, 90% coverage";"40= 40";"41= 40% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"43= 40% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"45= 40% plant height affected, 50% coverage";"46= 40% plant height affected, 60% coverage";"47= 40% plant height affected, 70% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"50= 50";"51= 50% plant height affected, 10% coverage";"52= 50% plant height affected, 20% coverage";"53= 50% plant height affected, 30% coverage";"54= 50% plant height affected, 40% coverage";"55= 50% plant height affected, 50% coverage";"56= 50% plant height affected, 60% coverage";"57= 50% plant height affected, 70% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"61= 60% plant height affected, 10% coverage";"62= 60% plant height affected, 20% coverage";"63= 60% plant height affected, 30% coverage";"64= 60% plant height affected, 40% coverage";"65= 60% plant height affected, 50% coverage";"66= 60% plant height affected, 60% coverage";"67= 60% plant height affected, 70% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"78= 70% plant height affected, 80% coverage";"79= 70% plant height affected, 90% coverage";"80= 80";"81= 80% plant height affected, 10% coverage";"82= 80% plant height affected, 20% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"87= 80% plant height affected, 70% coverage";"88= 80% plant height affected, 80% coverage";"89= 80% plant height affected, 90% coverage";"90= 90";"91= 90% plant height affected, 10% coverage";"92= 90% plant height affected, 20% coverage";"93= 90% plant height affected, 30% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"98= 90% plant height affected, 80% coverage";"99= 90% plant height affected, 90% coverage" "";"CO_321:0001107";"DRidge_date_ymd";"DRD_yyyymmdd, DRD";"Research-intensive characterization";"DS14-DS15 approx.";"";"BMS_29034";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000182";"Double ridge time";"Phenological traits";"Double ridge time is just when apex changes from the vegetative to the reproductive stage.";"";"DRidge";"DR";"Plant";"Double ridge time";"";"";"CO_321:0000834";"DR date Estimation";"Estimation";"Record date of double ridge stage (DS14-15 approx.). Double ridge signifies that the plant?s main growing point will produce no more primordial leaves, and instead will produce primordial spikelets of the young spike. The dissection and observation of the main tiller apex on an optic magnifier is required.";"";"Kirby and Appleyard, 1984";"CO_321:0000850";"yyyymmdd";"Time";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001108";"DRidge_dto_day";"DTDR_days, DR, DTDR";"Research-intensive characterization";"DS14-DS15 approx.";"";"BMS_29038";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000182";"Double ridge time";"Phenological traits";"Double ridge time is just when apex changes from the vegetative to the reproductive stage.";"";"DRidge";"DR";"Plant";"Double ridge time";"";"";"CO_321:0000377";"DR DT Computation";"Computation";"Number of days from sowing to double ridge (DS14-15 approx.). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Kirby and Appleyard, 1984";"CO_321:0000434";"day";"Duration";"0.0";"40.0";"240.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001119";"DroughtTol_E_pct";"DROUGHTTOL_pct";"Nursery/Trial evaluation";"After the event";"";"BMS_29036";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000131";"Drought tolerance";"Abiotic stress traits";"Plant tolerance to drought conditions.";"";"DroughtTol";"";"Plant";"Drought tolerance";"";"";"CO_321:0000275";"DroughtTol Estimation";"Estimation";"Observe the growth of plants per plot/entry under droughted condition and rate the tolerance.";"";"Reynolds et al., 2001";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001120";"DroughtTol_E_1to5";"DROUGHTTOL_1_5";"Nursery/Trial evaluation";"After the event";"";"BMS_29035";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000131";"Drought tolerance";"Abiotic stress traits";"Plant tolerance to drought conditions.";"";"DroughtTol";"";"Plant";"Drought tolerance";"";"";"CO_321:0000275";"DroughtTol Estimation";"Estimation";"Observe the growth of plants per plot/entry under droughted condition and rate the tolerance.";"";"Reynolds et al., 2001";"CO_321:0000464";"1-5 TOL scale";"Ordinal";"1.0";"";"";"";"1= highly susceptible";"4= tolerant";"5= highly tolerant";"2= susceptible";"3= intermediate";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001313";"EgramInc_E_0to9pcttext";"EGRAM_0_9text__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"Obsolete/legacy";"BMS_22804";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000937";"Powdery mildew incidence";"Biotic stress traits";"Powdery mildew incidence in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramInc";"EGRAM";"Leaf";"Powdery mildew incidence";"";"";"CO_321:0000330";"EgramInc Estimation";"Estimation";"Standard method for powdery mildew incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001314";"EgramInc_E_pct";"EGRAM_pct__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_22805";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000937";"Powdery mildew incidence";"Biotic stress traits";"Powdery mildew incidence in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramInc";"EGRAM";"Leaf";"Powdery mildew incidence";"";"";"CO_321:0000330";"EgramInc Estimation";"Estimation";"Standard method for powdery mildew incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001315";"EgramInc_E_0to5";"EGRAM_0_5__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_22807";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000937";"Powdery mildew incidence";"Biotic stress traits";"Powdery mildew incidence in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramInc";"EGRAM";"Leaf";"Powdery mildew incidence";"";"";"CO_321:0000330";"EgramInc Estimation";"Estimation";"Standard method for powdery mildew incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000782";"0-5 incidence scale";"Ordinal";"1.0";"";"";"";"0= none";"3= medium";"4= high";"1= very low";"2= low";"5= severe";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001316";"EgramInc_E_1to5";"EGRAM_1_5__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_22810";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000937";"Powdery mildew incidence";"Biotic stress traits";"Powdery mildew incidence in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramInc";"EGRAM";"Leaf";"Powdery mildew incidence";"";"";"CO_321:0000330";"EgramInc Estimation";"Estimation";"Standard method for powdery mildew incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000788";"1-5 incidence scale";"Ordinal";"1.0";"";"";"";"1= none";"4= high";"5= severe";"2= low";"3= medium";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001317";"EgramInc_E_1to9";"EGRAM_1_9__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_22808";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000937";"Powdery mildew incidence";"Biotic stress traits";"Powdery mildew incidence in the plants caused by the agent Blumeria graminis (Erysiphe graminis) f. sp. tritici.";"";"EgramInc";"EGRAM";"Leaf";"Powdery mildew incidence";"";"";"CO_321:0000330";"EgramInc Estimation";"Estimation";"Standard method for powdery mildew incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1.0";"";"";"";"1= none";"4= low to medium";"5= medium";"2= very low";"3= low";"8= very high";"9= severe";"6= medium to high";"7= high";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001318";"EgramLegacy_E_9to1";"EGRAM_9_1";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"Obsolete/legacy";"BMS_22809";"CIMMYT";"Rosemary Shrestha, Julian 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Dry weight of 20 randomly selected spikes at anthesis. 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width.";"";"";"CO_321:0000428";"mm";"Numerical";"1";"2";"40";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001128";"FLeafSen_E_pct";"FLEAFSEN_pct";"Research-intensive characterization";"From DS71";"";"BMS_29049";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000194";"Flag leaf senescence";"Physiological traits";"Flag leaf senescence.";"";"FLeafSen";"FlagSen";"Flag leaf";"Senescence";"";"";"CO_321:0000382";"FLeafSen Estimation";"Estimation";"Rate using a scale from 0 (0% senescence) to 10 (100% senescence) using the guide, in increments of 10%.";"";"Pask et al., 2012 (Ch. 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A 7-gram sample of ground wheat or flour is weighed and combined with 25 milliliter of distilled water in a glass falling number tube with a stirrer and shaken to form a slurry. When grinding a wheat sample to perform a falling number test, it should be at least 300 grams to assure a representative sample, 2. As the slurry is heated in a boiling water bath at 100° Centigrade and stirred constantly, the starch gelatinizes and forms a thick paste, 3. The time it takes the stirrer to drop through the paste is recorded as the falling number value.";"";"";"CO_321:0000430";"s";"Duration";"0";"60";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001134";"FLRGluCon_M_pct";"GLUCON_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29069";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000069";"Flour gluten content";"Quality traits";"Content of wet gluten in flour.";"GLUCON";"FLRGluCon";"";"Flour";"Gluten content";"";"";"CO_321:0000291";"FLRGluCon Measurement";"Measurement";"1. A 10-gram sample of flour or ground wheat is weighed and placed into the glutomatic washing chamber on top of the polyester screen, 2. The sample is mixed and washed with a 2 percent salt solution for 5 minutes, 3. The wet gluten is removed from the washing chamber, placed in the centrifuge holder, and centrifuged, 4. The residue retained on top of the screen and through the screen is weighed.";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001140";"FlrYellCls_M_1to3";"FLRYELLCLS_1_3";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29054";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000673";"Flour yellowness";"Quality traits";"Flour yellowness.";"";"FlrYellCls";"";"Flour";"Yellowness";"";"";"CO_321:0000847";"FlrYellCls Measurement";"Measurement";"Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color, 5. 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(00-99)";"Ordinal";"";"";"";"";"00= Germination, Dry seed";"01= Germination, Water uptake (imbibition) started";"03= Germination, Imbibition complete";"05= Germination, Radicle emerged from seed";"07= Germination, Coleoptile emerged from seed";"09= Germination, Leaf just at coleoptile tip";"10= Seedling development , First leaf emerged";"11= Seedling development , First leaf unfolded";"12= Seedling development , 2 leaves unfolded";"13= Seedling development , 3 leaves unfolded";"14= Seedling development , 4 leaves unfolded";"15= Seedling development , 5 leaves unfolded";"16= Seedling development , 6 leaves unfolded";"17= Seedling development , 7 leaves unfolded";"18= Seedling development , 8 leaves unfolded";"19= Seedling development , 9 or more leaves unfolded";"20= Tillering, Main shoot only";"21= Tillering, Main shoot and 1 Tiller";"22= Tillering, Main shoot and 2 Tillers";"23= Tillering, Main shoot and 3 Tillers";"24= Tillering, Main shoot and 4 Tillers";"25= Tillering, Main shoot and 5 Tillers";"26= Tillering, Main shoot and 6 Tillers";"27= Tillering, Main shoot and 7 Tillers";"28= Tillering, Main shoot and 8 Tillers";"29= Tillering, Main shoot and 9 or more Tillers 89 Late hard dough (difficult to dent)";"30= Stem elongation or jointing, Pseudo stem erection";"31= Stem elongation or jointing, 1st node detectable";"32= Stem elongation or jointing, 2nd node detectable";"33= Stem elongation or jointing, 3rd node detectable";"34= Stem elongation or jointing, 4th node detectable";"35= Stem elongation or jointing, 5th node detectable";"36= Stem elongation or jointing, 6th node detectable";"37= Stem elongation or jointing, Flag leaf just visible";"39= Stem elongation or jointing, Flag leaf ligule/collar just visible";"41= Booting, Flag leaf sheath extending";"43= Booting, Boot just visibly swollen";"45= Booting, Boot swollen";"47= Booting, Flag leaf sheath opening";"49= Booting, First awns visible";"51= Heading, First spikelet of head visible";"53= Heading, 1/4 of 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Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. 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Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. In most cases, determinations of dry mass are made on representative sub-samples to reduce oven space requirement, take additional measurements (e.g., fertile culm count) etc. Several protocols available (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012 (Ch. 15)";"CO_321:0000806";"kg/plot";"Numerical";"3.0";"1.0";"6.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001334";"SemoProt_Kjl_pct";"SEMOPROT _pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29167";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000074";"Semolina protein content";"Quality traits";"Protein content in durum wheat semolina.";"";"SemoProt";"";"Semolina";"Protein content";"";"";"CO_321:0000289";"Kjeldahl AACC 56-81B";"Measurement";"Kjeldahl AACC 56-81B.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001254";"LAI_Calc_Idx";"LAI_index";"Research-intensive characterization";"Seedling development to late grain-filling (DS12-DS81)";"";"BMS_29108";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000184";"Leaf area index";"Agronomical traits";"It is a dimensionless quantity that characterizes plant canopies and defined as the leaf area per unit ground surface area.";"";"LAI";"";"Plant";"Leaf area index";"";"";"CO_321:0000362";"LAI Computation";"Computation";"LAI can be determined directly by taking a sample of canopy from a plant canopy, measuring the leaf area per sample plot with an area meter or image scanner and dividing it by the plot land surface area. 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severe";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001080";"LofVol_M_ml";"LOFVOL_ml";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23219";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000124";"Bread loaf volume";"Quality traits";"Baking quality of flour describing bread loaf volume.";"";"LofVol";"";"Bread";"Loaf volume";"";"";"CO_321:0000338";"LofVol Measurement";"Measurement";"Standard method for loaf volume.";"";"";"CO_321:0000427";"ml";"Numerical";"1";"4";"25";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001650";"LRollInc_E_pct";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0001529";"Leaf rolling incidence";"Abiotic stress traits";"Incidence of leaf rolling, usually scored under drought stress.";"";"LRollInc";"";"Leaf";"Rolling incidence";"";"";"CO_321:0001585";"LRollInc Estimation";"Estimation";"Standard method for leaf rolling incidence.";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001649";"LRollSev_E_1to5";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0001528";"Leaf rolling severity";"Abiotic stress traits";"Severity of leaf rolling, usually scored under drought stress.";"";"LRollSev";"";"Leaf";"Rolling severity";"";"";"CO_321:0001584";"LRollSev Estimation";"Estimation";"Standard method for leaf rolling severity.";"";"";"CO_321:0001594";"1-5 LRoll scale";"Ordinal";"";"";"";"";"1= unrolled, turgid";"2= leaf rim starts to roll";"3= leaf has shape of a V";"4= rolled leaf rim covers part of leaf blade";"5= leaf is severely rolled";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001289";"Mat_date_ymd";"MATD_yyyymmdd, MATD, MATDATE";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"";"BMS_22678";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000842";"Mat DS87 date Estimation";"Estimation";"Record date of physiological maturity (approx. DS87). It is estimated as when the grain reaches the maximum dry weight and the grain becomes viable. It is most easily determined in-field when 50% of the peduncles are ripe (i.e., yellow).";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000850";"yyyymmdd";"Time";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001290";"Mat_dto_day";"DTM_days, DTM, DAYSMT, MAT";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"";"BMS_22677";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000232";"Mat DS87 DT Computation";"Computation";"Number of days required from sowing to physiological maturity (approx. DS87). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0.0";"40.0";"240.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001287";"Mat_relat_1to6";"RELTMT_1_6, RELTMT";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"";"BMS_22696";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000243";"Mat DS87 relative Estimation";"Estimation";"Assessment of physiological maturity (approx. DS87) compared to best local check which represents the best locally adopted germplasm at each location grown in standard or normal environment.";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000856";"1-6 Phenological relative scale";"Ordinal";"";"";"";"";"1= very early (VE)";"4= normal, similar to local check (N)";"5= late (L)";"2= early (E)";"3= early to normal (E-N)";"6= very late (VL)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001291";"Mat_relat_1to5";"RELTMT_1_5, RELTMT";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"";"BMS_29155";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000243";"Mat DS87 relative Estimation";"Estimation";"Assessment of physiological maturity (approx. DS87) compared to best local check which represents the best locally adopted germplasm at each location grown in standard or normal environment.";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000460";"1-5 Phenological relative scale";"Ordinal";"0.0";"";"";"";"VE= very early (VE)";"L= late (L)";"VL= very late (VL)";"E= early (E)";"M= moderate (M)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001450";"MgrisSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0001031";"Wheat blast severity";"Biotic stress traits";"Wheat blast severity in the spikes caused by the agent Magnaporthe grisea (Pyricularia oryzae). Symptoms: It can infect all above-ground parts of the wheat plant, but head blast, resembling Fusarium head blight in appearance, is the most common symptom in the field. Infected spikes become bleached and produce small shriveled seed or none at all.";"";"MgrisSev";"";"Spike";"Wheat blast severity";"";"";"CO_321:0001435";"MgrisSev Estimation";"Estimation";"Standard method for wheat blast severity.";"";"";"CO_321:0000414";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001130";"FlrCol_M_avalue";"FLRCOL_a_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29050";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000214";"Flour color";"Quality traits";"Flour color.";"";"FlrCol";"";"Flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000416";"a value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001131";"FlrCol_M_bvalue";"FLRCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29051";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000214";"Flour color";"Quality traits";"Flour color.";"";"FlrCol";"";"Flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001132";"FlrCol_M_Lvalue";"FLRCOL_L_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29052";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000214";"Flour color";"Quality traits";"Flour color.";"";"FlrCol";"";"Flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000424";"L value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001184";"GCol_M_avalue";"GRNCOL_a_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29075";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000416";"a value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001185";"GCol_M_bvalue";"GRNCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29076";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001186";"GCol_M_Lvalue";"GRNCOL_L_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29077";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000424";"L value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001333";"SemoCol_M_bvalue";"SEMOCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29166";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000075";"Semolina color";"Quality traits";"The semolina color.";"";"SemoCol";"";"Semolina";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001418";"WMFlrCol_M_avalue";"WMFLRCOL_a_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29205";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000227";"Whole meal flour color";"Quality traits";"The whole meal flour color.";"";"WMFlrCol";"";"Whole meal flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000416";"a value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001419";"WMFlrCol_M_bvalue";"WMFLRCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29206";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000227";"Whole meal flour color";"Quality traits";"The whole meal flour color.";"";"WMFlrCol";"";"Whole meal flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001420";"WMFlrCol_M_Lvalue";"WMFLRCOL_L_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29207";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000227";"Whole meal flour color";"Quality traits";"The whole meal flour color.";"";"WMFlrCol";"";"Whole meal flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000424";"L value";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001117";"MixTq_M_pctmin";"MIXTQ_pct_min";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29119";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000225";"Dough mixograph torque";"Quality traits";"It is the torque measured during the mixograph test.";"";"MixTq";"";"Dough";"Mixograph torque";"";"";"CO_321:0000389";"MIXOGRAPH determination AACC 54-40 A";"Estimation";"1. A sample of 35 grams of flour on a 14 percent moisture basis is weighed and placed in a mixograph bowl, 2. Water is added to the flour from a buret and the bowl is inserted into the mixograph, 3. The flour and water are mixed together to form a dough, 4. As the dough is mixed, the mixograph records a curve on graph paper.";"";"";"CO_321:0000413";"%/min";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001118";"MixTyp_E_1to6";"MIXTYP_1_6";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29120";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000228";"Dough mixograph type";"Quality traits";"Mixograph type (mixograph curve) is used for determining the strength of dough.";"";"MixTyp";"";"Dough";"Mixograph type";"";"";"CO_321:0000389";"MIXOGRAPH determination AACC 54-40 A";"Estimation";"1. A sample of 35 grams of flour on a 14 percent moisture basis is weighed and placed in a mixograph bowl, 2. Water is added to the flour from a buret and the bowl is inserted into the mixograph, 3. The flour and water are mixed together to form a dough, 4. As the dough is mixed, the mixograph records a curve on graph paper.";"";"";"CO_321:0000866";"1-6 MIXTYP scale";"Nominal";"1.0";"";"";"";"1=";"4=";"5=";"2=";"3=";"6=";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001062";"PhordSev_E_0to12";"PHORD_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23043";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000647";"Barley leaf rust severity";"Biotic stress traits";"Barley leaf rust severity in the plants caused by the agent Puccinia hordei.";"";"PhordSev";"";"Leaf";"Barley leaf rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1.0";"";"";"";"0= 0% (no uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001271";"PrecoSev_E_0to12";"PRECO_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22759";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000902";"Leaf rust severity";"Biotic stress traits";"Leaf rust (brown rust) severity in the plants caused by the agent Puccinia recondita.";"";"PrecoSev";"BwRustSev, LRSev";"Leaf";"Leaf rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1.0";"";"";"";"0= 0% (no uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001384";"PgramSev_E_0to12";"PGRAM_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22757";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000905";"Stem rust severity";"Biotic stress traits";"Stem rust (black rust) severity in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramSev";"PGRAM";"Plant";"Stem rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1.0";"";"";"";"0= 0% (no uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001397";"PstriSev_E_0to12";"PSTRI_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22766";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000908";"Stripe rust severity";"Biotic stress traits";"Stripe rust (yellow rust) severity in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSev";"YRustSev, YRSev, PSTRIL";"Leaf";"Stripe rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1.0";"";"";"";"0= 0% (no uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001194";"GHrd_M_pct";"GRNHRD_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23232";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000072";"Grain hardness";"Quality traits";"Grain hardness is used as a grading factor to determine the type of wheat. It is a key determinant for classification of wheat and end product quality.";"Grain texture";"GHrd";"HRDCLS, GRNHRD";"Grain";"Hardness";"";"";"CO_321:0000263";"Modified Particle Size Index AACC 55-30 or NIR calibrated based on PSI results";"Measurement";"Modified Particle Size Index AACC 55-30 or NIR calibrated based on PSI results";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001297";"NeckBreak_E_pct";"NBREAK_pct";"Nursery/Trial evaluation";"";"";"BMS_29121";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000050";"Peduncle neck break";"Agronomical traits";"Observation of spike break from the base of head.";"";"NeckBreak";"NBreak";"Peduncle";"Neck break";"";"";"CO_321:0000270";"NeckBreak Estimation";"Estimation";"Standard method for neck break.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001137";"FlrProt_NIRS_pct";"FLRPROT_pct";"Trial evaluation";"After harvest (From DS87)";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000067";"Flour protein content";"Quality traits";"Total protein content (corrected to 12.5% moisture basis) in refined flour.";"";"FlrProt";"FlrPro";"Flour";"Protein content";"";"";"CO_321:0000944";"NIRS Measurement";"Measurement";"NIR calibrated based on Kjeldahl results.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001206";"GProt_NIRS_pct";"GRNPROT_pct";"Trial evaluation";"After harvest (From DS87)";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000073";"Grain protein content";"Quality traits";"Content of protein (corrected to 12.5% moisture basis) in the whole wheat grain samples.";"";"GProt";"GRNPROT, GRNPRO";"Grain";"Protein content";"";"";"CO_321:0000946";"NIRS Measurement";"Measurement";"NIR calibrated based on Kjeldahl results.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001335";"SemoProt_NIRS_pct";"SEMOPROT _pct";"Trial evaluation";"After harvest (From DS87)";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000074";"Semolina protein content";"Quality traits";"Protein content in durum wheat semolina.";"";"SemoProt";"";"Semolina";"Protein content";"";"";"CO_321:0000957";"NIRS Measurement";"Measurement";"NIR calibrated based on Kjeldahl results.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001294";"NodeNO_Ct_node";"NODENO _num";"Descriptor";"DS61-DS75";"";"BMS_29123";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000051";"Node number";"Morphological traits";"Number of nodes in the main stem.";"";"NodeN";"";"Stem";"Node number";"";"";"CO_321:0000271";"NodeN Counting";"Counting";"Standard method for node number.";"";"";"CO_321:0000437";"node";"Numerical";"1.0";"1.0";"15.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001290";"Mat_dto_day";"DTM_days, DTM, DAYSMT, MAT";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"";"BMS_22677";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000232";"Mat DS87 DT Computation";"Computation";"Number of days required from sowing to physiological maturity (approx. DS87). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0";"40";"240";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001287";"Mat_relat_1to6";"RELTMT_1_6, RELTMT";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"";"BMS_22696";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000243";"Mat DS87 relative Estimation";"Estimation";"Assessment of physiological maturity (approx. DS87) compared to best local check which represents the best locally adopted germplasm at each location grown in standard or normal environment.";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000856";"1-6 Phenological relative scale";"Ordinal";"";"";"";"";"1= very early (VE)";"2= early (E)";"3= early to normal (E-N)";"4= normal, similar to local check (N)";"5= late (L)";"6= very late (VL)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001291";"Mat_relat_1to5";"RELTMT_1_5, RELTMT";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"";"BMS_29155";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000243";"Mat DS87 relative Estimation";"Estimation";"Assessment of physiological maturity (approx. DS87) compared to best local check which represents the best locally adopted germplasm at each location grown in standard or normal environment.";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000460";"1-5 Phenological relative scale";"Ordinal";"0";"";"";"";"E= early (E)";"L= late (L)";"M= moderate (M)";"VE= very early (VE)";"VL= very late (VL)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001450";"MgrisSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0001031";"Wheat blast severity";"Biotic stress traits";"Wheat blast severity in the spikes caused by the agent Magnaporthe grisea (Pyricularia oryzae). Symptoms: It can infect all above-ground parts of the wheat plant, but head blast, resembling Fusarium head blight in appearance, is the most common symptom in the field. Infected spikes become bleached and produce small shriveled seed or none at all.";"";"MgrisSev";"";"Spike";"Wheat blast severity";"";"";"CO_321:0001435";"MgrisSev Estimation";"Estimation";"Standard method for wheat blast severity.";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001130";"FlrCol_M_avalue";"FLRCOL_a_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29050";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000214";"Flour color";"Quality traits";"Flour color.";"";"FlrCol";"";"Flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000416";"a value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001131";"FlrCol_M_bvalue";"FLRCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29051";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000214";"Flour color";"Quality traits";"Flour color.";"";"FlrCol";"";"Flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001132";"FlrCol_M_Lvalue";"FLRCOL_L_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29052";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000214";"Flour color";"Quality traits";"Flour color.";"";"FlrCol";"";"Flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000424";"L value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001184";"GCol_M_avalue";"GRNCOL_a_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29075";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000416";"a value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001185";"GCol_M_bvalue";"GRNCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29076";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001186";"GCol_M_Lvalue";"GRNCOL_L_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29077";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000424";"L value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001333";"SemoCol_M_bvalue";"SEMOCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29166";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000075";"Semolina color";"Quality traits";"The semolina color.";"";"SemoCol";"";"Semolina";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001418";"WMFlrCol_M_avalue";"WMFLRCOL_a_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29205";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000227";"Whole meal flour color";"Quality traits";"The whole meal flour color.";"";"WMFlrCol";"";"Whole meal flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000416";"a value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001419";"WMFlrCol_M_bvalue";"WMFLRCOL_b_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29206";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000227";"Whole meal flour color";"Quality traits";"The whole meal flour color.";"";"WMFlrCol";"";"Whole meal flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000417";"b value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001420";"WMFlrCol_M_Lvalue";"WMFLRCOL_L_value";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29207";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000227";"Whole meal flour color";"Quality traits";"The whole meal flour color.";"";"WMFlrCol";"";"Whole meal flour";"Color";"";"";"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";"";"";"CO_321:0000424";"L value";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001117";"MixTq_M_pctmin";"MIXTQ_pct_min";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29119";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000225";"Dough mixograph torque";"Quality traits";"It is the torque measured during the mixograph test.";"";"MixTq";"";"Dough";"Mixograph torque";"";"";"CO_321:0000389";"MIXOGRAPH determination AACC 54-40 A";"Estimation";"1. A sample of 35 grams of flour on a 14 percent moisture basis is weighed and placed in a mixograph bowl, 2. Water is added to the flour from a buret and the bowl is inserted into the mixograph, 3. The flour and water are mixed together to form a dough, 4. As the dough is mixed, the mixograph records a curve on graph paper.";"";"";"CO_321:0000413";"%/min";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001118";"MixTyp_E_1to6";"MIXTYP_1_6";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29120";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000228";"Dough mixograph type";"Quality traits";"Mixograph type (mixograph curve) is used for determining the strength of dough.";"";"MixTyp";"";"Dough";"Mixograph type";"";"";"CO_321:0000389";"MIXOGRAPH determination AACC 54-40 A";"Estimation";"1. A sample of 35 grams of flour on a 14 percent moisture basis is weighed and placed in a mixograph bowl, 2. Water is added to the flour from a buret and the bowl is inserted into the mixograph, 3. The flour and water are mixed together to form a dough, 4. As the dough is mixed, the mixograph records a curve on graph paper.";"";"";"CO_321:0000866";"1-6 MIXTYP scale";"Nominal";"1";"";"";"";"1= ";"2= ";"3= ";"4= ";"5= ";"6= ";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001062";"PhordSev_E_0to12";"PHORD_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23043";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000647";"Barley leaf rust severity";"Biotic stress traits";"Barley leaf rust severity in the plants caused by the agent Puccinia hordei.";"";"PhordSev";"";"Leaf";"Barley leaf rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1";"";"";"";"0= 0% (no uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001271";"PrecoSev_E_0to12";"PRECO_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22759";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000902";"Leaf rust severity";"Biotic stress traits";"Leaf rust (brown rust) severity in the plants caused by the agent Puccinia recondita.";"";"PrecoSev";"BwRustSev, LRSev";"Leaf";"Leaf rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1";"";"";"";"0= 0% (no uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001384";"PgramSev_E_0to12";"PGRAM_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22757";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000905";"Stem rust severity";"Biotic stress traits";"Stem rust (black rust) severity in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramSev";"PGRAM";"Plant";"Stem rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1";"";"";"";"0= 0% (no uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001397";"PstriSev_E_0to12";"PSTRI_0_12__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22766";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000908";"Stripe rust severity";"Biotic stress traits";"Stripe rust (yellow rust) severity in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSev";"YRustSev, YRSev, PSTRIL";"Leaf";"Stripe rust severity";"";"";"CO_321:0000324";"Modified cobb scale for severity";"Estimation";"Severity of leaf/stem/stripe rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000753";"0-12 Modified Cobb Scale";"Ordinal";"1";"";"";"";"0= 0% (no uredia)";"1= 1% (0.37% occupied by uredia)";"5= 5% (1.85% occupied by uredia)";"10= 10% (3.7% occupied by uredia)";"20= 20% (7.4% occupied by uredia)";"30= 30% (11.1% occupied by uredia)";"40= 40% (14.8% occupied by uredia)";"50= 50% (18.5% occupied by uredia)";"60= 60% (22.2% occupied by uredia)";"70= 70% (25.9% occupied by uredia)";"80= 80% (29.6% occupied by uredia)";"90= 90% (33.3% occupied by uredia)";"100= 100% (37% occupied by uredia)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001194";"GHrd_M_pct";"GRNHRD_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23232";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000072";"Grain hardness";"Quality traits";"Grain hardness is used as a grading factor to determine the type of wheat. 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area.";"xxxx";"";"CO_321:0000817";"plant/m2";"Numerical";"0.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001308";"PlntStnd_Ct_Plntm";"PLNTSTND_pl_m";"Trial evaluation";"DS10-DS89";"";"BMS_29139";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000187";"Plant stand";"Agronomical traits";"Plant population or plant density.";"Plant establishment, Crop stand, Plant density, Plant population";"PlntStnd";"PStand";"Plant";"Stand";"";"";"CO_321:0000368";"PlntStnd Counting";"Counting";"Counting the number of plant per area or row.";"";"";"CO_321:0000815";"plant/m";"Numerical";"0.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001309";"PlntStnd_Ct_PlntPlot";"PLNTSTND_pl_plot";"Trial evaluation";"DS10-DS89";"";"BMS_18070";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000187";"Plant stand";"Agronomical traits";"Plant population or plant density.";"Plant establishment, Crop stand, Plant density, Plant population";"PlntStnd";"PStand";"Plant";"Stand";"";"";"CO_321:0000368";"PlntStnd Counting";"Counting";"Counting the number of plant per area or row.";"";"";"CO_321:0000816";"plant/plot";"Numerical";"0.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001312";"PlntVig_E_1to5";"PLNTVIG_1_5";"Trial evaluation";"DS13-DS81";"";"BMS_18080";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000680";"Plant vigour";"Agronomical traits";"Capacity of the plant to grow.";"Plant vigor";"PlntVig";"Vig";"Plant";"Vigour";"";"";"CO_321:0001428";"PlntVig Estimation";"Estimation";"Observe vigour of the plants per plot/entry and rate it.";"";"";"CO_321:0000462";"1-5 scoring scale";"Ordinal";"1.0";"";"";"";"1= very poor (VP)";"4= good (G)";"5= very good (VG)";"2= poor (P)";"3= fair (F)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001321";"PnegleDmg_E_pct";"PNEGLE_pct";"Trial evaluation";"";"";"BMS_29141";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000112";"Pratylenchus neglectus damage";"Biotic stress traits";"The plant damage caused by root-lesion nematode, Pratylenchus neglectus.";"";"PnegleDmg";"PNEGLE, RLN";"Root";"Pratylenchus neglectus damage";"";"";"CO_321:0000328";"PnegleDmg Estimation";"Estimation";"Above-ground symptoms of root lesion nematodes are often indistinct and difficult to identify, but include poor vigor, stunted growth, poor tillering, and wilting in response to moisture stress. Often, crop growth in an infected field will be irregular or patchy. Below ground, cereal roots will display generalized root browning, with lesions rapidly coalescing to produce extensive areas of discoloration. Lesions are only readily observed on the roots in the very early stages of infection. Lateral roots will be reduced in both length and number, and the root system may be thin and poorly branched or appear necrotic.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001263";"PrecoInc_E_1to9";"PRECO_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22761";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000898";"Leaf rust incidence";"Biotic stress traits";"Leaf rust (brown rust) incidence in the plants caused by the agent Puccinia recondita.";"";"PrecoInc";"BwRustInc, LRInc";"Leaf";"Leaf rust incidence";"";"";"CO_321:0000707";"PrecoInc Estimation";"Estimation";"Standard method for leaf rust incidence.";"";"Roelfs et al., 1992";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1.0";"";"";"";"1= none";"4= low to medium";"5= medium";"2= very low";"3= low";"8= very high";"9= severe";"6= medium to high";"7= high";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001264";"PrecoLegacy_E_9to1";"PRECO_9_1";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22762";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000899";"Leaf rust legacy";"Biotic stress traits";"Leaf rust (brown rust) incidence/severity/response in the plants caused by the agent Puccinia recondita.";"";"PrecoLegacy";"BwRustLegacy, LRLegacy";"Leaf";"Leaf rust legacy";"";"";"CO_321:0000900";"PrecoLegacy Estimation";"Estimation";"Standard method for leaf rust legacy.";"";"Roelfs et al., 1992";"CO_321:0000877";"9-1 PRECO scale";"Ordinal";"1.0";"";"";"";"9=";"6=";"5=";"8=";"7=";"2=";"1=";"4=";"3=";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001266";"PrecoResp_E_0to4";"PRECO_0_4__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22764";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000178";"Leaf rust plant response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoResp";"BwRustResp, LRResp";"Leaf";"Leaf rust plant response";"";"";"CO_321:0000706";"PrecoResp Estimation";"Estimation";"Standard method for leaf rust response.";"";"Roelfs et al., 1992";"CO_321:0000768";"0-4 PRECO scale";"Ordinal";"1.0";"";"";"";"I= immune (0), no uredinia or other macroscopic sign of infection";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some chlorosis possible";"S= susceptible (S), large pustules, no necrosis or chlorosis";"R= resistant (R), necrotic areas with or without small pustules";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001267";"PrecoResp_E_1to4";"PRECO_1_4__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22763";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000178";"Leaf rust plant response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoResp";"BwRustResp, LRResp";"Leaf";"Leaf rust plant response";"";"";"CO_321:0000706";"PrecoResp Estimation";"Estimation";"Standard method for leaf rust response.";"";"Roelfs et al., 1992";"CO_321:0000773";"1-4 PRECO scale";"Ordinal";"1.0";"";"";"";"R= resistant (R), necrotic areas with or without small pustules";"S= susceptible (S), large pustules, no necrosis or chlorosis";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some chlorosis possible";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001392";"PstriInc_E_1to9";"PSTRI_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22767";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000906";"Stripe rust incidence";"Biotic stress traits";"Stripe rust (yellow rust) incidence in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriInc";"YRustInc, YRInc, PSTRIL";"Leaf";"Stripe rust incidence";"";"";"CO_321:0000725";"PstriInc Estimation";"Estimation";"Standard method for Stripe rust incidence.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1.0";"";"";"";"1= none";"4= low to medium";"5= medium";"2= very low";"3= low";"8= very high";"9= severe";"6= medium to high";"7= high";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001398";"PstriSpkSev_E_pct";"PSTRI_pct__SPKSEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22823";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000909";"Stripe rust spike severity";"Biotic stress traits";"Stripe rust (yellow rust) severity in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSpkSev";"YRustSpkSev, YRSpkSev, PSTRIL";"Spike";"Stripe rust spike severity";"";"";"CO_321:0000883";"PstriSpkSev Estimation";"Estimation";"Severity of rust in spike is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001322";"PthornDmg_E_pct";"PTHORN_pct";"Trial evaluation";"";"";"BMS_29150";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000113";"Pratylenchus thornei damage";"Biotic stress traits";"The plant damage caused by root-lesion nematode, Pratylenchus thornei.";"";"PthornDmg";"PTHORN, RLN";"Root";"Pratylenchus thornei damage";"";"";"CO_321:0000329";"PthornDmg Estimation";"Estimation";"Above-ground symptoms of root lesion nematodes are often indistinct and difficult to identify, but include poor vigor, stunted growth, poor tillering, and wilting in response to moisture stress. Often, crop growth in an infected field will be irregular or patchy. Below ground, cereal roots will display generalized root browning, with lesions rapidly coalescing to produce extensive areas of discoloration. Lesions are only readily observed on the roots in the very early stages of infection. Lateral roots will be reduced in both length and number, and the root system may be thin and poorly branched or appear necrotic.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001357";"RcereInc_E_0to9";"RCERE_0_9";"Trial evaluation";"DS55-DS79";"";"BMS_29154";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000683";"Sharp eyespot incidence";"Biotic stress traits";"Sharp eyespot incidence in the plants caused by the agent Rhizoctonia cerealis.";"";"RcereInc";"RCERE";"Plant";"Sharp eyespot incidence";"";"";"CO_321:0000721";"RcereInc Estimation";"Estimation";"Main shoots are assessed for sharp eyespot disease.";"";"";"CO_321:0000742";"0-9 RCERE scale";"Ordinal";"1.0";"";"";"";"0= No symptom of sharp eyespot";"3= one or more sharp eyespot lesions girdling in total less than or equal to 1/5 of the stem circumference, with the stem remaining un-softened";"4= one or more sharp eyespot lesions girdling in total less than or equal to 2/5 of the stem circumference, with the stem remaining un-softened";"1= One or more sharp eyespot lesions on lower sheaths but no symptoms on the stem";"2= one or more sharp eyespot lesions on upper (as well as lower) sheaths but no symptoms on the stem";"7= one or more sharp eyespot lesions girdling in total less than or equal to 5/5 of the stem circumference, with the stem remaining un-softened";"8= stem softened with sharp eyespot lesions on the stem";"5= one or more sharp eyespot lesions girdling in total less than or equal to 3/5 of the stem circumference, with the stem remaining un-softened";"6= one or more sharp eyespot lesions girdling in total less than or equal to 4/5 of the stem circumference, with the stem remaining un-softened";"9= head prematurely ripened (whitehead) or plant collapsed with sharp eyespot lesions on the stem, or shoot killed as the ear emerges from the sheath with sharp eyespot lesions on the shoot";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001323";"RepP_Calc_day";"REPPERIOD_days";"Research-intensive characterization";"DS14-DS65";"";"BMS_29156";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000668";"Reproductive period";"Phenological traits";"Time between double ridge (approx. ds14) and anthesis (ds65).";"";"RepP";"RepPeriod, RP";"Plant";"Reproductive period";"";"";"CO_321:0001430";"RepP Computation";"Computation";"Calculated as time between double ridge (approx. DS14) and anthesis (DS65) as percentage of crop cycle duration.";"xxxx";"Kirby and Appleyard, 1984, Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0.0";"40.0";"240.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001324";"RepP_Calc_pct";"REPPERIOD_pct";"Research-intensive characterization";"DS14-DS65";"";"BMS_29157";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000668";"Reproductive period";"Phenological traits";"Time between double ridge (approx. ds14) and anthesis (ds65).";"";"RepP";"RepPeriod, RP";"Plant";"Reproductive period";"";"";"CO_321:0001430";"RepP Computation";"Computation";"Calculated as time between double ridge (approx. DS14) and anthesis (DS65) as percentage of crop cycle duration.";"xxxx";"Kirby and Appleyard, 1984, Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001328";"RLNDmg_E_pct";"RLESDMG_pct";"Trial evaluation";"";"";"BMS_29158";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000161";"Root lesion nematode damage";"Biotic stress traits";"The plant damage caused by root-lesion nematodes, Pratylenchus spp.";"";"RLNDmg";"RLESDMG, RLN";"Root";"Root lesion nematode damage";"";"";"CO_321:0000350";"RLNDmg Estimation";"Estimation";"Above-ground symptoms of root lesion nematodes are often indistinct and difficult to identify, but include poor vigor, stunted growth, poor tillering, and wilting in response to moisture stress. Often, crop growth in an infected field will be irregular or patchy. Below ground, cereal roots will display generalized root browning, with lesions rapidly coalescing to produce extensive areas of discoloration. Lesions are only readily observed on the roots in the very early stages of infection. 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Symptoms: the eye shape elliptical lesions forms on lower base of stem and lower leaf sheath. The eyespots are straw yellow in color from the middle and are surrounded by the greenish brown to dark brown rings.";"";"PherpResp";"PHPRP";"Plant";"Eyespot plant response";"";"";"CO_321:0000320";"PherpResp Estimation";"Estimation";"Standard method for eye spot field response.";"";"Duveiller et al., 2012";"CO_321:0000471";"1-8 generic disease field response scale";"Ordinal";"1";"";"";"";"0= no visible infection (0)";"I= intermediate (M), lesions of variable size, some necrosis and/or chlorosis";"MR= moderately resistant (MR), small lesions surrounded by necrotic areas";"MS= moderately Susceptible (MS), medium-sized lesions, no necrosis, but some chlorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"R= resistant (R), necrotic areas with or without small lesions";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large lesions, no necrosis or chlorosis";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001622";"PhiCO2_M_Idx";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001506";"Leaf quantum yield of carbon dioxide fixation";"Physiological traits";"Quantum yield of carbon dioxide (CO2) fixation.";"";"PhiCO2";"";"Leaf";"Quantum yield of carbon dioxide fixation";"";"";"CO_321:0001557";"PhiCO2 Measurement";"Measurement";"Standard method for gas exchange measurement.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001621";"PhiPS2_M_Idx";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001505";"Leaf quantum yield of photosystem II";"Physiological traits";"Quantum yield of electron transfer at PSII.";"";"PhiPS2";"";"Leaf";"Quantum yield of photosystem II";"";"";"CO_321:0001556";"PhiPS2 Measurement";"Measurement";"Standard method for fluorescence measurement.";"";"Pask et al., 2012, chapter 13, Molero and Lopes.";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001060";"PhordInc_E_1to9";"PHORD_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23044";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000935";"Barley leaf rust incidence";"Biotic stress traits";"Barley leaf rust incidence in the plants caused by the agent Puccinia hordei.";"";"PhordInc";"";"Leaf";"Barley leaf rust incidence";"";"";"CO_321:0000648";"PhordInc Estimation";"Estimation";"Standard method for Barley leaf rust incidence.";"";"Roelfs, A.P., R.P. Singh, and E.E. Saari. 1992. Rust Diseases of Wheat: Concepts and methods of disease management. Mexico, D.F.: CIMMYT.";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1";"";"";"";"1= none";"2= very low";"3= low";"4= low to medium";"5= medium";"6= medium to high";"7= high";"8= very high";"9= severe";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001305";"PhotopResp_E_1to9";"PHOTORESPO_1_9";"Descriptor";"DS65";"";"BMS_29136";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000672";"Plant photoperiod response";"Physiological traits";"Extent to which long days hasten flowering.";"Daylength sensitivity";"PhotopResp";"PhotoRespo";"Plant";"Photoperiod response";"";"";"CO_321:0000846";"PhotopResp Estimation";"Estimation";"Observe the tendency of flowering according day-length";"";"";"CO_321:0000857";"1-9 PHOTORESP 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area.";"xxxx";"";"CO_321:0000817";"plant/m2";"Numerical";"0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001308";"PlntStnd_Ct_Plntm";"PLNTSTND_pl_m";"Trial evaluation";"DS10-DS89";"";"BMS_29139";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000187";"Plant stand";"Agronomical traits";"Plant population or plant density.";"Plant establishment, Crop stand, Plant density, Plant population";"PlntStnd";"PStand";"Plant";"Stand";"";"";"CO_321:0000368";"PlntStnd Counting";"Counting";"Counting the number of plant per area or row.";"";"";"CO_321:0000815";"plant/m";"Numerical";"0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001309";"PlntStnd_Ct_PlntPlot";"PLNTSTND_pl_plot";"Trial evaluation";"DS10-DS89";"";"BMS_18070";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000187";"Plant stand";"Agronomical traits";"Plant population or plant density.";"Plant establishment, Crop stand, Plant density, Plant population";"PlntStnd";"PStand";"Plant";"Stand";"";"";"CO_321:0000368";"PlntStnd Counting";"Counting";"Counting the number of plant per area or row.";"";"";"CO_321:0000816";"plant/plot";"Numerical";"0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001312";"PlntVig_E_1to5";"PLNTVIG_1_5";"Trial evaluation";"DS13-DS81";"";"BMS_18080";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000680";"Plant vigour";"Agronomical traits";"Capacity of the plant to grow.";"Plant vigor";"PlntVig";"Vig";"Plant";"Vigour";"";"";"CO_321:0001428";"PlntVig Estimation";"Estimation";"Observe vigour of the plants per plot/entry and rate it.";"";"";"CO_321:0000462";"1-5 scoring scale";"Ordinal";"1";"";"";"";"1= very poor (VP)";"2= poor (P)";"3= fair (F)";"4= good (G)";"5= very good 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Often, crop growth in an infected field will be irregular or patchy. Below ground, cereal roots will display generalized root browning, with lesions rapidly coalescing to produce extensive areas of discoloration. Lesions are only readily observed on the roots in the very early stages of infection. Lateral roots will be reduced in both length and number, and the root system may be thin and poorly branched or appear necrotic.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001263";"PrecoInc_E_1to9";"PRECO_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22761";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"25-oct-15";"EN";"Wheat";"CO_321:0000898";"Leaf rust incidence";"Biotic stress traits";"Leaf rust (brown rust) incidence in the plants caused by the agent Puccinia recondita.";"";"PrecoInc";"BwRustInc, LRInc";"Leaf";"Leaf rust incidence";"";"";"CO_321:0000707";"PrecoInc Estimation";"Estimation";"Standard method for leaf rust incidence.";"";"Roelfs et al., 1992";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1";"";"";"";"1= none";"2= very low";"3= low";"4= low to medium";"5= medium";"6= medium to high";"7= high";"8= very high";"9= severe";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001264";"PrecoLegacy_E_9to1";"PRECO_9_1";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22762";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000899";"Leaf rust legacy";"Biotic stress traits";"Leaf rust (brown rust) incidence/severity/response in the plants caused by the agent Puccinia recondita.";"";"PrecoLegacy";"BwRustLegacy, LRLegacy";"Leaf";"Leaf rust legacy";"";"";"CO_321:0000900";"PrecoLegacy Estimation";"Estimation";"Standard method for leaf rust legacy.";"";"Roelfs et al., 1992";"CO_321:0000877";"9-1 PRECO scale";"Ordinal";"1";"";"";"";"1= ";"2= ";"3= ";"4= ";"5= ";"6= ";"7= ";"8= ";"9= ";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001266";"PrecoResp_E_0to4";"PRECO_0_4__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22764";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000178";"Leaf rust plant response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoResp";"BwRustResp, LRResp";"Leaf";"Leaf rust plant response";"";"";"CO_321:0000706";"PrecoResp Estimation";"Estimation";"Standard method for leaf rust response.";"";"Roelfs et al., 1992";"CO_321:0000768";"0-4 PRECO scale";"Ordinal";"1";"";"";"";"I= immune (0), no uredinia or other macroscopic sign of infection";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some chlorosis possible";"R= resistant (R), necrotic areas with or without small pustules";"S= susceptible (S), large pustules, no necrosis or chlorosis";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001267";"PrecoResp_E_1to4";"PRECO_1_4__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22763";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000178";"Leaf rust plant response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoResp";"BwRustResp, LRResp";"Leaf";"Leaf rust plant response";"";"";"CO_321:0000706";"PrecoResp Estimation";"Estimation";"Standard method for leaf rust response.";"";"Roelfs et al., 1992";"CO_321:0000773";"1-4 PRECO scale";"Ordinal";"1";"";"";"";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some chlorosis possible";"R= resistant (R), necrotic areas with or without small pustules";"S= susceptible (S), large pustules, no necrosis or chlorosis";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001392";"PstriInc_E_1to9";"PSTRI_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22767";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000906";"Stripe rust incidence";"Biotic stress traits";"Stripe rust (yellow rust) incidence in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriInc";"YRustInc, YRInc, PSTRIL";"Leaf";"Stripe rust incidence";"";"";"CO_321:0000725";"PstriInc Estimation";"Estimation";"Standard method for Stripe rust incidence.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1";"";"";"";"1= none";"2= very low";"3= low";"4= low to medium";"5= medium";"6= medium to high";"7= high";"8= very high";"9= severe";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001398";"PstriSpkSev_E_pct";"PSTRI_pct__SPKSEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22823";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000909";"Stripe rust spike severity";"Biotic stress traits";"Stripe rust (yellow rust) severity in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSpkSev";"YRustSpkSev, YRSpkSev, PSTRIL";"Spike";"Stripe rust spike severity";"";"";"CO_321:0000883";"PstriSpkSev Estimation";"Estimation";"Severity of rust in spike is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001322";"PthornDmg_E_pct";"PTHORN_pct";"Trial evaluation";"";"";"BMS_29150";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000113";"Pratylenchus thornei damage";"Biotic stress traits";"The plant damage caused by root-lesion nematode, Pratylenchus thornei.";"";"PthornDmg";"PTHORN, RLN";"Root";"Pratylenchus thornei damage";"";"";"CO_321:0000329";"PthornDmg Estimation";"Estimation";"Above-ground symptoms of root lesion nematodes are often indistinct and difficult to identify, but include poor vigor, stunted growth, poor tillering, and wilting in response to moisture stress. Often, crop growth in an infected field will be irregular or patchy. Below ground, cereal roots will display generalized root browning, with lesions rapidly coalescing to produce extensive areas of discoloration. Lesions are only readily observed on the roots in the very early stages of infection. Lateral roots will be reduced in both length and number, and the root system may be thin and poorly branched or appear necrotic.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001357";"RcereInc_E_0to9";"RCERE_0_9";"Trial evaluation";"DS55-DS79";"";"BMS_29154";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000683";"Sharp eyespot incidence";"Biotic stress traits";"Sharp eyespot incidence in the plants caused by the agent Rhizoctonia cerealis.";"";"RcereInc";"RCERE";"Plant";"Sharp eyespot incidence";"";"";"CO_321:0000721";"RcereInc Estimation";"Estimation";"Main shoots are assessed for sharp eyespot disease.";"";"";"CO_321:0000742";"0-9 RCERE scale";"Ordinal";"1";"";"";"";"0= No symptom of sharp eyespot";"1= One or more sharp eyespot lesions on lower sheaths but no symptoms on the stem";"2= one or more sharp eyespot lesions on upper (as well as lower) sheaths but no symptoms on the stem";"3= one or more sharp eyespot lesions girdling in total less than or equal to 1/5 of the stem circumference, with the stem remaining un-softened";"4= one or more sharp eyespot lesions girdling in total less than or equal to 2/5 of the stem circumference, with the stem remaining un-softened";"5= one or more sharp eyespot lesions girdling in total less than or equal to 3/5 of the stem circumference, with the stem remaining un-softened";"6= one or more sharp eyespot lesions girdling in total less than or equal to 4/5 of the stem circumference, with the stem remaining un-softened";"7= one or more sharp eyespot lesions girdling in total less than or equal to 5/5 of the stem circumference, with the stem remaining un-softened";"8= stem softened with sharp eyespot lesions on the stem";"9= head prematurely ripened (whitehead) or plant collapsed with sharp eyespot lesions on the stem, or shoot killed as the ear emerges from the sheath with sharp eyespot lesions on the shoot";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001323";"RepP_Calc_day";"REPPERIOD_days";"Research-intensive characterization";"DS14-DS65";"";"BMS_29156";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000668";"Reproductive period";"Phenological traits";"Time between double ridge (approx. ds14) and anthesis (ds65).";"";"RepP";"RepPeriod, RP";"Plant";"Reproductive period";"";"";"CO_321:0001430";"RepP Computation";"Computation";"Calculated as time between double ridge (approx. DS14) and anthesis (DS65) as percentage of crop cycle duration.";"xxxx";"Kirby and Appleyard, 1984, Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0";"40";"240";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001324";"RepP_Calc_pct";"REPPERIOD_pct";"Research-intensive characterization";"DS14-DS65";"";"BMS_29157";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000668";"Reproductive period";"Phenological traits";"Time between double ridge (approx. ds14) and anthesis (ds65).";"";"RepP";"RepPeriod, RP";"Plant";"Reproductive period";"";"";"CO_321:0001430";"RepP Computation";"Computation";"Calculated as time between double ridge (approx. DS14) and anthesis (DS65) as percentage of crop cycle duration.";"xxxx";"Kirby and Appleyard, 1984, Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001328";"RLNDmg_E_pct";"RLESDMG_pct";"Trial evaluation";"";"";"BMS_29158";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000161";"Root lesion nematode damage";"Biotic stress traits";"The plant damage caused by root-lesion nematodes, Pratylenchus spp.";"";"RLNDmg";"RLESDMG, RLN";"Root";"Root lesion nematode damage";"";"";"CO_321:0000350";"RLNDmg Estimation";"Estimation";"Above-ground symptoms of root lesion nematodes are often indistinct and difficult to identify, but include poor vigor, stunted growth, poor tillering, and wilting in response to moisture stress. Often, crop growth in an infected field will be irregular or patchy. Below ground, cereal roots will display generalized root browning, with lesions rapidly coalescing to produce extensive areas of discoloration. Lesions are only readily observed on the roots in the very early stages of infection. 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Extract storage proteins (glutenins/gliadins) from wheat grain, 2. Separate glutenins from gliadins, 3. Run proteins extracts in polyacrylamide gels, 4. Stain the gel and de-stain, 5. 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Run proteins extracts in polyacrylamide gels, 4. Stain the gel and de-stain, 5. Identify the allele for each locus.";"";"Payne and Lawrence, 1983, Singh et al., 1991, Peña et al., 2004";"CO_321:0000443";"text";"Text";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001176";"GluB1_M_text";"GLUB1_text";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23237";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000153";"Glutenin Glu-B1 composition";"Quality traits";"High molecular weight glutenin subunits of glu-b1.";"";"GluB1";"Glu-B1, HMW-Glu B1";"Flour";"Glutenin Glu-B1 composition";"";"";"CO_321:0000390";"SDS-PAGE electrophoresis";"Measurement";"1. Extract storage proteins (glutenins/gliadins) from wheat grain, 2. Separate glutenins from gliadins, 3. Run proteins extracts in polyacrylamide gels, 4. Stain the gel and de-stain, 5. Identify the allele for each locus.";"";"Payne and Lawrence, 1983, Singh et al., 1991, Peña et al., 2004";"CO_321:0000443";"text";"Text";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001177";"GluB3_M_text";"GLUB3_text";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29068";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000156";"Glutenin Glu-B3 composition";"Quality traits";"Low molecular weight glutenin subunits of glu-b3.";"";"GluB3";"Glu-B3, LMW-Glu B3";"Flour";"Glutenin Glu-B3 composition";"";"";"CO_321:0000390";"SDS-PAGE electrophoresis";"Measurement";"1. Extract storage proteins (glutenins/gliadins) from wheat grain, 2. Separate glutenins from gliadins, 3. Run proteins extracts in polyacrylamide gels, 4. Stain the gel and de-stain, 5. Identify the allele for each locus.";"";"Payne and Lawrence, 1983, Singh et al., 1991, Peña et al., 2004";"CO_321:0000443";"text";"Text";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001178";"GluD1_M_text";"GLUD1_text";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23238";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000154";"Glutenin Glu-D1 composition";"Quality traits";"High molecular weight glutenin subunits of glu-d1.";"";"GluD1";"Glu-D1, HMW-Glu D1";"Flour";"Glutenin Glu-D1 composition";"";"";"CO_321:0000390";"SDS-PAGE electrophoresis";"Measurement";"1. Extract storage proteins (glutenins/gliadins) from wheat grain, 2. Separate glutenins from gliadins, 3. Run proteins extracts in polyacrylamide gels, 4. Stain the gel and de-stain, 5. Identify the allele for each locus.";"";"Payne and Lawrence, 1983, Singh et al., 1991, Peña et al., 2004";"CO_321:0000443";"text";"Text";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001179";"GluD3_M_text";"GLUD3_text";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29070";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000157";"Glutenin Glu-D3 composition";"Quality traits";"Low molecular weight glutenin subunits of glu-d3.";"";"GluD3";"Glu-D3, LMW-Glu D3";"Flour";"Glutenin Glu-D3 composition";"";"";"CO_321:0000390";"SDS-PAGE electrophoresis";"Measurement";"1. Extract storage proteins (glutenins/gliadins) from wheat grain, 2. Separate glutenins from gliadins, 3. Run proteins extracts in polyacrylamide gels, 4. Stain the gel and de-stain, 5. Identify the allele for each locus.";"";"Payne and Lawrence, 1983, Singh et al., 1991, Peña et al., 2004";"CO_321:0000443";"text";"Text";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001416";"T1BL1RS_M_0to1";"T1BL1RS_0_1";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29002";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000158";"Translocation 1BL/1RS";"Quality traits";"The 1bl/1rs translocation in wheat resulted from replacing the short arm of the chromosome 1b of wheat by the short arm of the chromosome 1r of rye (Secale cereale l.).";"1BL/1RS translocation";"T1BL1RS";"1BL1RS";"Translocation 1BL/1RS";"Absence/Presence";"";"";"CO_321:0000396";"SDS-PAGE Electrophoresis (1BL1RS)";"Measurement";"Detect in the SDS-PAGE gel the presence of some protein bands from rye chromosome translocation.";"";"";"CO_321:0000599";"0-1 absent-present";"Nominal";"";"";"";"";"1= present";"0= absent";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001422";"WMFlrSDS_M_ml";"WMFLRSDS_ml";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23004";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000147";"Whole meal flour SDS sedimentation";"Quality traits";"Testing of whole-meal flour quality by SDS-sedimentation, a test estimating gluten-protein overall quality.";"grain SDS-sedimentation, whole meal flour SDS-sedimentation";"WMFlrSDS";"";"Whole meal flour";"SDS-sedimentation volume";"";"";"CO_321:0000386";"SDS-sedimentation determination";"Measurement";"A small sample of flour or ground wheat (1.0 grams) is weighed and placed in 25-milliliter glass-stoppered graduated cylinder. This is mixed with different solutions for some minutes and then rested. Finally, the volume of the sediment is recorded after 21 minutes.";"";"";"CO_321:0000427";"ml";"Numerical";"1.0";"4.0";"25.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001139";"SedIdx_M_mlpct";"SEDINDX_ml_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29164";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000160";"Flour SDS sedimentation index";"Quality traits";"Is the result of dividing sedimentation volume by flour protein content.";"Specific sedimentation value, Relative sedimentation index";"SedIdx";"SEDINDX";"Flour";"Sedimentation index";"";"";"CO_321:0000398";"SedIdx Measurement";"Measurement";"Standard method for sedimentation index.";"";"";"CO_321:0000631";"ml/%";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001269";"PrecoSdlgResp_E_0to8";"PRECO_0_8__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"BMS_29142";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000901";"Leaf rust seedling response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoSdlgResp";"BwRustSdlgResp, LRSdlgResp";"Seedling";"Leaf rust seedling response";"";"";"CO_321:0000604";"Seedling rust field response Estimation";"Estimation";"Seedling host responses are normally scored as susceptible or resistant depending on the infection type produced with a designated isolate in a particular environment. The infection type produced will often change if the environment is altered.";"";"Roelfs, A.P., R.P. Singh, and E.E. Saari. 1992. Rust Diseases of Wheat: Concepts and methods of disease management. Mexico, D.F.: CIMMYT.";"CO_321:0000606";"0-8 Rust infection type";"Ordinal";"1.0";"";"";"";"I= immune, no uredinia or other macroscopic sign of infection (0)";"2= moderately resistant, small to medium uredinia often surrounded by Chlorosis or necrosis, green island may be surrounded by chlorotic or necrotic border (2)";"X= heterogeneous, random distribution of variable-sized uredinia on single leaf (X)";",= nearly immune, no uredinia, but hypersensitive necrotic or chlorotic flecks present (,)";"1= very resistant, small uredinia surrounded by necrosis (1)";"3= moderately susceptible, medium-sized uredinia that may be associated with chlorosis (3)";"4= susceptible, large uredinia without chlorosis (4)";"Y= heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf tip (Y)";"Z= Heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf base (Z)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001382";"PgramSdlgResp_E_0to8";"PGRAM_0_8__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"BMS_29131";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000904";"Stem rust seedling response";"Biotic stress traits";"Stem rust (black rust) response in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramSdlgResp";"PGRAM";"Seedling";"Stem rust seedling response";"";"";"CO_321:0000604";"Seedling rust field response Estimation";"Estimation";"Seedling host responses are normally scored as susceptible or resistant depending on the infection type produced with a designated isolate in a particular environment. The infection type produced will often change if the environment is altered.";"";"Roelfs, A.P., R.P. Singh, and E.E. Saari. 1992. Rust Diseases of Wheat: Concepts and methods of disease management. Mexico, D.F.: CIMMYT.";"CO_321:0000606";"0-8 Rust infection type";"Ordinal";"1.0";"";"";"";"I= immune, no uredinia or other macroscopic sign of infection (0)";"2= moderately resistant, small to medium uredinia often surrounded by Chlorosis or necrosis, green island may be surrounded by chlorotic or necrotic border (2)";"X= heterogeneous, random distribution of variable-sized uredinia on single leaf (X)";",= nearly immune, no uredinia, but hypersensitive necrotic or chlorotic flecks present (,)";"1= very resistant, small uredinia surrounded by necrosis (1)";"3= moderately susceptible, medium-sized uredinia that may be associated with chlorosis (3)";"4= susceptible, large uredinia without chlorosis (4)";"Y= heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf tip (Y)";"Z= Heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf base (Z)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001648";"PstriSdlgResp_E_0to8";"PSTRI_0_8__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0001527";"Stripe rust seedling response";"Biotic stress traits";"Stripe rust (yellow rust) response in the seedlings caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSdlgResp";"YRustResp, YRResp, PSTRIL";"Seedling";"Stripe rust seedling response";"";"";"CO_321:0001583";"Seedling rust field response Estimation";"Estimation";"Seedling host responses are normally scored as susceptible or resistant depending on the infection type produced with a designated isolate in a particular environment. The infection type produced will often change if the environment is altered.";"";"Roelfs, A.P., R.P. Singh, and E.E. Saari. 1992. Rust Diseases of Wheat: Concepts and methods of disease management. Mexico, D.F.: CIMMYT.";"CO_321:0000606";"0-8 Rust infection type";"Ordinal";"1.0";"";"";"";"I= immune, no uredinia or other macroscopic sign of infection (0)";"2= moderately resistant, small to medium uredinia often surrounded by Chlorosis or necrosis, green island may be surrounded by chlorotic or necrotic border (2)";"X= heterogeneous, random distribution of variable-sized uredinia on single leaf (X)";",= nearly immune, no uredinia, but hypersensitive necrotic or chlorotic flecks present (,)";"1= very resistant, small uredinia surrounded by necrosis (1)";"3= moderately susceptible, medium-sized uredinia that may be associated with chlorosis (3)";"4= susceptible, large uredinia without chlorosis (4)";"Y= heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf tip (Y)";"Z= Heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf base (Z)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001336";"SemoYellPig_M_ppm";"SEMOYELPIG_ppm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29168";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000674";"Semolina yellow pigment content";"Quality traits";"Semolina yellow pigment content due to the presence of xanthophyll and other related compounds.";"";"SemoYellPig";"SEMOYELPIG";"Semolina";"Yellow pigment content";"";"";"CO_321:0000848";"SemoYellPig Measurement";"Measurement";"Standard method for semolina yellow pigment.";"";"";"CO_321:0000425";"ppm";"Numerical";"1.0";"1.0";"15.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001337";"SepSPInc_E_pct";"SEPSP_pct__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23030";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000914";"Septoria blotch incidence";"Biotic stress traits";"Septoria blotch incidence in the plants caused by the agent Septoria species.";"";"SepSPInc";"";"Leaf";"Septoria blotch incidence";"";"";"CO_321:0000915";"SepSPInc Estimation";"Estimation";"Standard method for Septoria species incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001338";"SepSpLegacy_E_1to9";"SEPSP_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23028";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000916";"Septoria blotch legacy";"Biotic stress traits";"Septoria blotch incidence/severity/response in the plants caused by the agent Septoria species.";"";"SepSpLegacy";"";"Leaf";"Septoria blotch legacy";"";"";"CO_321:0000358";"SepSpLegacy Estimation";"Estimation";"Standard method for Septoria species legacy.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000789";"1-9 disease scale";"Ordinal";"1.0";"";"";"";"1=";"4=";"5=";"2=";"3=";"8=";"9=";"6=";"7=";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001339";"SepSpLegacy_E_9to1";"SEPSP_9_1";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23033";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000916";"Septoria blotch legacy";"Biotic stress traits";"Septoria blotch incidence/severity/response in the plants caused by the agent Septoria species.";"";"SepSpLegacy";"";"Leaf";"Septoria blotch legacy";"";"";"CO_321:0000358";"SepSpLegacy Estimation";"Estimation";"Standard method for Septoria species legacy.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000790";"9-1 disease scale";"Ordinal";"1.0";"";"";"";"9=";"6=";"5=";"8=";"7=";"2=";"1=";"4=";"3=";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001340";"SepSpResp_E_0to5";"SEPSP_0_5__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23031";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000715";"Septoria blotch plant response";"Biotic stress traits";"Septoria blotch response in the plants caused by the agent Septoria species.";"";"SepSpResp";"";"Leaf";"Septoria blotch plant response";"";"";"CO_321:0000716";"SepSpResp Estimation";"Estimation";"Standard method for Septoria species response.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000735";"0-5 Septoria Response scale";"Ordinal";"1.0";"";"";"";"Imm= Immune (Imm) - No pycnidial formation, no symptoms or occasional hypersensitive fleck.";"I= Intermediate (I) - Light pycnidial format ion. Coalescing of lesions normally noticeable towards the leaf tip and elsewhere on the leaf.";"S= Susceptible (S) - Moderate pycnidial formation, lesions coalescing considerably.";"HR= Highly Resistant (HR) - No or only occasional isolated pycnidia formed, particularly in older leaf tissue, hypersensitive flecking in younger leaf tissue.";"R= Resistant (R) - Very light pycnidial formation. Some coalescing of lesions mainly toward the leaf tip and in older leaf tissue.";"VS= Very susceptible (VS), large, abundant pycnidia, lesions coalescing extensively";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001341";"SepSpResp_E_1to5";"SEPSP_1_5__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23032";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000715";"Septoria blotch plant response";"Biotic stress traits";"Septoria blotch response in the plants caused by the agent Septoria species.";"";"SepSpResp";"";"Leaf";"Septoria blotch plant response";"";"";"CO_321:0000716";"SepSpResp Estimation";"Estimation";"Standard method for Septoria species response.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000729";"1-5 Septoria response scale";"Ordinal";"1.0";"";"";"";"VR= very resistant (VR), average pycnidial density of 0-5%";"MS= moderately susceptible (MS), average pycnidial density coverage of 30-40%";"S= susceptible (S), pycnidial density greater than 40%";"R= resistant (R), average pycnidial density of 5-15%";"MR= moderately resistant (MR), average pycnidial density coverage of 15-30%";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001343";"SepSpSev_E_0to9pcttext";"SEPSP_0_9text__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23027";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000714";"Septoria blotch severity";"Biotic stress traits";"Septoria blotch severity in the plants caused by the agent Septoria species.";"";"SepSpSev";"";"Leaf";"Septoria blotch severity";"";"";"CO_321:0000879";"SepSpSev Estimation";"Estimation";"Standard method for Septoria species causing Septoria blotch severity.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001332";"SGNDmg_E_pct";"ATRITDMG _pct";"Trial evaluation";"From DS35";"";"BMS_29016";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000110";"Seed gall nematode damage";"Biotic stress traits";"The wheat seed-gall nematode damage caused by Anguina tritici.";"";"SGNDmg";"AtritDmg";"Plant";"Seed gall nematode damage";"";"";"CO_321:0000326";"SGNDmg Estimation";"Estimation";"Distorted leaves and stems are evident prior to heading. As diseased plants approach maturity, galls are formed in the florets, replacing the kernels. The galls are similar in shape to the seed they replace and are dark brown in color. Large numbers of motile larvae are present within the galls and become active after the galls have been moistened. These nematodes can act as vectors of Clavibacter tritici.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001616";"SLA_M_m2kg1";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001500";"Specific leaf area";"Physiological traits";"A ratio of the leaf area to dry mass.";"";"SLA";"";"Leaf";"Specific leaf area";"";"";"CO_321:0001551";"SLA Measurement";"Measurement";"Leaf area of flag leaf or all laminas is measured. Then the leaves are oven dried at 60-70oC for 48h and the dry weight is recorded. Then, the specific leaf area is calculated as the ratio of leaf area to dry mass SLA= leaf area/dry mass.";"";"";"CO_321:0000805";"g/m2";"Numerical";"0.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001365";"SN_Calc_Spksm2";"SNO_spk_m2";"Trial evaluation";"DS75-DS89";"";"BMS_22909";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000166";"Spike number";"Agronomical traits";"Number of spikes (fertile culms) per unit area, sample or plant.";"Ear number";"SN";"SNO, SpkNO, SpkNo";"Spike";"Number";"";"";"CO_321:0000958";"SN Computation";"Computation";"Calculated from yield components sampling.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000441";"spike/m2";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001366";"SN_M_Spksm";"SNO_spk_m";"Trial evaluation";"DS75-DS89";"";"BMS_29172";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000166";"Spike number";"Agronomical traits";"Number of spikes (fertile culms) per unit area, sample or plant.";"Ear number";"SN";"SNO, SpkNO, SpkNo";"Spike";"Number";"";"";"CO_321:0000354";"SN Measurement";"Measurement";"It can be easily and non-destructively measured during grain-filling (i.e., before physiological maturity) by counting in a given area or length of row.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000818";"spike/m";"Numerical";"0.0";"10.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001358";"SnailDmg_E_pct";"SNAILDMG_pct";"Trial evaluation";"After the event";"";"BMS_29171";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000093";"Snail damage";"Biotic stress traits";"The plant damage caused by snails.";"";"SnailDmg";"";"Plant";"Snail damage";"";"";"CO_321:0000313";"SnailDmg Estimation";"Estimation";"Standard method for snail damage.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001345";"SnodoInc_E_0to9pcttext";"SNODO_0_9text__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22777";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000917";"Septoria nodorum blotch incidence";"Biotic stress traits";"Septoria nodorum blotch incidence in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoInc";"";"Plant";"Septoria nodorum blotch incidence";"";"";"CO_321:0000880";"SnodoInc Estimation";"Estimation";"Standard method for Septoria nodorum blotch incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001346";"SnodoInc_E_pct";"SNODO_pct__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22780";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000917";"Septoria nodorum blotch incidence";"Biotic stress traits";"Septoria nodorum blotch incidence in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoInc";"";"Plant";"Septoria nodorum blotch incidence";"";"";"CO_321:0000880";"SnodoInc Estimation";"Estimation";"Standard method for Septoria nodorum blotch incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001347";"SnodoLegacy_E_1to9";"SNODO_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22781";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000918";"Septoria nodorum blotch legacy";"Biotic stress traits";"Septoria nodorum blotch incidence/severity/response in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoLegacy";"";"Plant";"Septoria nodorum blotch legacy";"";"";"CO_321:0000343";"SnodoLegacy Estimation";"Estimation";"Standard method for Septoria nodorum blotch legacy.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000789";"1-9 disease scale";"Ordinal";"1.0";"";"";"";"1=";"4=";"5=";"2=";"3=";"8=";"9=";"6=";"7=";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001348";"SnodoLegacy_E_9to1";"SNODO_9_1";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22782";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000918";"Septoria nodorum blotch legacy";"Biotic stress traits";"Septoria nodorum blotch incidence/severity/response in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoLegacy";"";"Plant";"Septoria nodorum blotch legacy";"";"";"CO_321:0000343";"SnodoLegacy Estimation";"Estimation";"Standard method for Septoria nodorum blotch legacy.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000790";"9-1 disease scale";"Ordinal";"1.0";"";"";"";"9=";"6=";"5=";"8=";"7=";"2=";"1=";"4=";"3=";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001446";"SnodoSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000717";"Septoria nodorum blotch severity";"Biotic stress traits";"Septoria nodorum blotch severity in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoSev";"";"Plant";"Septoria nodorum blotch severity";"";"";"CO_321:0000991";"SnodoSev Estimation";"Estimation";"Standard method for Septoria nodorum blotch severity.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001362";"SpkDen_E_1to9";"SPKDEN_1_9";"Descriptor";"DS61-DS75";"";"BMS_29173";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000055";"Spike density";"Morphological traits";"Density or compactness of a wheat spike.";"Spike compactness, ear compactness";"SpkDen";"";"Spike";"Density";"";"";"CO_321:0000276";"SpkDen Estimation";"Estimation";"Standard method for spike density.";"";"";"CO_321:0000467";"1-9 SPKDEN scale";"Ordinal";"1.0";"1.0";"9.0";"";"1= very lax";"4= lax to intermediate";"5 = intermediate";"2= very lax to lax";"3= lax";"8= dense to very dense";"9 = very dense";"6= intermediate to dense";"7 = dense";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001363";"SpkDis_E_1to5";"SPKDIS_1_5, SpkDis_N_T_S_M_V";"Trial evaluation";"After the event";"";"BMS_22986";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000684";"Spike disease development";"Biotic stress traits";"The plant damage caused by spike diseases.";"";"SpkDis";"";"Spike";"Spike disease development";"";"";"CO_321:0000722";"SpkDis Estimation";"Estimation";"Standard method for spike disease development.";"";"";"CO_321:0000457";"1-5 DMG scale";"Ordinal";"1.0";"";"";"";"1= none (N)";"4= moderate (M)";"5= very severe (V)";"2= trace (T)";"3 = slight (S)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001644";"SpkDW_Calc_gm2";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001523";"Spike dry weight";"Agronomical traits";"Dry weight of spike(s).";"";"SpkDW";"";"Spike";"Spike dry weight";"";"";"CO_321:0001579";"SpkDW Computation";"Computation";"Standard spike dry weight method.";"";"";"CO_321:0000805";"g/m2";"Numerical";"0.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001610";"SpkPho_Textile_pct";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001494";"Spike photosynthesis contribution";"Physiological traits";"Photosynthetic contribution of the spike (ear) to grain yield.";"";"SpkPho";"";"Spike";"Spike Photosynthesis";"";"";"CO_321:0001545";"SpkPho Computation";"Computation";"Textile treatment is used to inhibit photosynthesis of the spikes through shading(comparison between control and treated spikes). Randomly selected spikes (for example: 12 spikes) per plot are covered with a special designed textile 10 days after anthesis under irrigation and drought or 10 days after heading under heat environments. 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Mainly from DS61.";"Obsolete/legacy";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000718";"Septoria tritici blotch severity";"Biotic stress traits";"Septoria tritici blotch severity in the plants caused by the agent Mycosphaerella graminicola (Septoria tritici). symptoms: the lesions are linear and restricted laterally.";"";"StritSev";"STRIT";"Plant";"Septoria tritici blotch severity";"";"";"CO_321:0000992";"StritSev Estimation";"Estimation";"Standard method for Septoria tritici blotch severity.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001399";"SuPDmg_E_1to5";"SUPDMG _1_5";"Trial evaluation";"After the event";"";"BMS_29186";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000094";"Suni pest damage";"Biotic stress traits";"The plant damage caused by suni pest (Eurygaster spp., sunn pest, suni bug).";"";"SuPDmg";"";"Plant";"Suni pest damage";"";"";"CO_321:0000314";"SuPDmg Estimation";"Estimation";"Standard method for suni pest damage.";"";"";"CO_321:0000457";"1-5 DMG scale";"Ordinal";"1.0";"";"";"";"1= none (N)";"4= moderate (M)";"5= very severe (V)";"2= trace (T)";"3 = slight (S)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001402";"TanSpotInc_E_0to9pcttext";"TANSPOT_0_9text";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22791";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000910";"Tan spot incidence";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) incidence in the plants caused by the agent Pyrenophora tritici-repentis (helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotInc";"";"Leaf";"Tan spot incidence";"";"";"CO_321:0000726";"TanSpotInc Estimation";"Estimation";"Standard method for tan spot incidence in adult plants.";"";"Duveiller et al., 1998, Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001403";"TanSpotInc_E_pct";"TANSPOT_pct";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22793";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000910";"Tan spot incidence";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) incidence in the plants caused by the agent Pyrenophora tritici-repentis (helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotInc";"";"Leaf";"Tan spot incidence";"";"";"CO_321:0000726";"TanSpotInc Estimation";"Estimation";"Standard method for tan spot incidence in adult plants.";"";"Duveiller et al., 1998, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001404";"TanSpotResp_E_1to5";"TANSPOT_1_5__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29188";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000345";"Tan spot plant response";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) response in the plants caused by the agent Pyrenophora tritici-repentis (helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotResp";"";"Leaf";"Tan spot plant response";"";"";"CO_321:0000724";"TanSpotResp Estimation";"Estimation";"Standard method for scoring tan spot response in adult plants.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000463";"1-5 TANSPOT field response scale";"Ordinal";"1.0";"";"";"";"R= Resistant, small dark brown to black spots without any surrounding chlorosis or tan necrosis";"MS= Moderately susceptible, small dark brown to black spots completely surrounded with chlorotic or tan necrostic zones, some of the lesions coalescing";"S= Susceptible, small dark brown to black centres may or may not be distinguishable, most lesions consist of coalescing chlorotic or tan necrotic zones";"MR= Moderately-resistant, small dark brown to black spots with very little chlorosis or tan necrosis";"MR-MS= Moderately resistant to moderately susceptible, small dark brown to black spots completely surrounded by a distinct chlorotic or tan necrosis";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001405";"TanSpotSdlgResp_E_0to5";"TANSPOT_0_5__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"BMS_29187";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000911";"Tan spot seedling response";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) response in the plants caused by the agent Pyrenophora tritici-repentis (helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSdlgResp";"";"Seedling";"Tan spot seedling response";"";"";"CO_321:0000603";"TanSpotSdlgResp Estimation";"Estimation";"Standard method for scoring tan spot response in seedlings.";"";"Duveiller et al., 1998, Duveiller et al., 2012, Lamari and Bernier, 1998.";"CO_321:0000445";"0-5 TANSPOT field response scale";"Ordinal";"1.0";"";"";"";"0= No visible infection on plants";"MR-MS= Moderately resistant to moderately susceptible, small dark brown to black spots completely surrounded by a distinct chlorotic or tan necrosis";"MS= Moderately susceptible, small dark brown to black spots completely surrounded with chlorotic or tan necrostic zones, some of the lesions coalescing";"R= Resistant, small dark brown to black spots without any surrounding chlorosis or tan necrosis";"MR= Moderately-resistant, small dark brown to black spots with very little chlorosis or tan necrosis";"S= Susceptible, small dark brown to black centres may or may not be distinguishable, most lesions consist of coalescing chlorotic or tan necrotic zones";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001449";"TanSpotSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000650";"Tan spot severity";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) severity in the plants caused by the agent Pyrenophora tritici-repentis (Helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSev";"";"Leaf";"Tan spot severity";"";"";"CO_321:0001434";"TanSpotSev Estimation";"Estimation";"Standard method for tan spot severity.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001368";"Threshblty_E_1to9";"THRESHBLTY_1_9";"Nursery/Trial evaluation";"After physiological maturity (DS87)";"";"BMS_29190";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000659";"Spike threshability";"Morphological traits";"Threshability (ease to thresh) is a score where several spike-related traits such as rachis fragility (brittle or non-brittle rachis) and glume tenacity (hulled or free-threshing).";"";"Threshblty";"";"Spike";"Threshability";"";"";"CO_321:0000831";"Threshblty Estimation";"Estimation";"Observe threshability by hand threshing of one or two spikes and rate it according how easily grains are separated from the rachis and glumes using 1 (hard to thresh) to 9 (easy to thresh) scale.";"";"";"CO_321:0000828";"1-9 general scale";"Ordinal";"1.0";"";"";"";"1= none";"4= low to moderate";"5= moderate";"2= very low";"3= low";"8= high to very high";"9= very high";"6= moderate to high";"7= high";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001253";"TindiInc_E_pct";"TINDI_pct";"Nursery/Trial evaluation";"After physiological maturity (DS87)";"";"BMS_29192";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000106";"Karnal bunt incidence";"Biotic stress traits";"Karnal bunt incidence in the plants caused by the agent Tilletia indica (syn. Neovossia indica).";"";"TindiInc";"KBInc, TINDI, KB";"Spike";"Karnal bunt incidence";"";"";"CO_321:0000323";"TindiInc Estimation";"Estimation";"Standard method for karnal bunt incidence.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001414";"TlaevInc_E_pct";"TLAEV_pct__INC";"Nursery/Trial evaluation";"From DS85";"";"BMS_29193";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000099";"Tilletia laevis bunt incidence";"Biotic stress traits";"Bunt incidence in the plants caused by the agent Tilletia laevis (stinking bunt, covered smut, hill bunt, complete bunt, low bunt, high bunt).";"";"TlaevInc";"TLAEV, CB";"Spike";"Tilletia laevis bunt incidence";"";"";"CO_321:0000317";"TlaevInc Estimation";"Estimation";"Tilletia laevis incidence is usually expressed as the percentage of bunted spikes within a row.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001413";"TllrCapacity_E_1to5";"TllrCAPACITY_1_5";"Trial evaluation";"DS30-DS45";"";"BMS_29191";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000189";"Tillering capacity";"Agronomical traits";"An tillering capacity.";"Plant Tillering capacity";"TllrCapacity";"";"Plant";"Tillering capacity";"";"";"CO_321:0000370";"TllrCapacity Estimation";"Estimation";"Standard method for tillering capacity.";"";"";"CO_321:0000462";"1-5 scoring scale";"Ordinal";"1.0";"";"";"";"1= very poor (VP)";"4= good (G)";"5= very good (VG)";"2= poor (P)";"3= fair (F)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001658";"TllrGW_M_g";"";"Trial evaluation";"After physiological maturity (DS87)";"";"";"CIMMYT";"Rosemary Shrestha";"03-May-2018";"EN";"Wheat";"CO_321:0001653";"Grain weight per tiller";"Agronomical traits";"Grain weight per tiller.";"";"GWTTILL";"";"Tiller";"Grain weight";"";"";"CO_321:0001655";"TllrGW Measurement";"Measurement";"";"";"";"CO_321:0001593";"g";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001410";"TN_Ct_Tllrm";"TNO_tll_m";"Trial evaluation";"DS30-DS55";"";"BMS_29194";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000190";"Tiller number";"Agronomical traits";"Number of total tillers (fertile and infertile) per unit area, sample or plant.";"";"TN";"TllNo, TNO";"Tiller";"Tiller number";"";"";"CO_321:0000371";"TN Counting";"Counting";"Count or calculate the number of total tillers (fertile and infertile) per lineal meter, per plant or per square meter.";"";"";"CO_321:0000820";"tiller/m";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001411";"TN_Ct_Tllrm2";"TNO_tll_m2";"Trial evaluation";"DS30-DS55";"";"BMS_29195";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000190";"Tiller number";"Agronomical traits";"Number of total tillers (fertile and infertile) per unit area, sample or plant.";"";"TN";"TllNo, TNO";"Tiller";"Tiller number";"";"";"CO_321:0000371";"TN Counting";"Counting";"Count or calculate the number of total tillers (fertile and infertile) per lineal meter, per plant or per square meter.";"";"";"CO_321:0000821";"tiller/m2";"Numerical";"0.0";"0.0";"10000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001412";"TN_Ct_TllrPlnt";"TNO_tll_pl";"Trial evaluation";"DS30-DS55";"";"BMS_29196";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000190";"Tiller number";"Agronomical traits";"Number of total tillers (fertile and infertile) per unit area, sample or plant.";"";"TN";"TllNo, TNO";"Tiller";"Tiller number";"";"";"CO_321:0000371";"TN Counting";"Counting";"Count or calculate the number of total tillers (fertile and infertile) per lineal meter, per plant or per square meter.";"";"";"CO_321:0000444";"tiller/plant";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001615";"TSPI_M_Idx";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001499";"True stem partitioning index";"Physiological traits";"True stem partitioning index.";"";"TSPI";"TSPI";"Stem";"True stem partitioning index";"";"";"CO_321:0001550";"TSPI Computation";"Measurement";"True Stem Coefficient = True stem DM measured at 7 DAA/whole plant DM at 7 DAA. Individual shoots (for example: 10-20) are harvested seven days after anthesis and the shoots are separated into: spikes, leaf laminas, true stem, leaf sheath. The dry weight of true stem is recorded and the total dry weight calculated. The partitioning index is calculated comparing the weight of each individual part regarding the total weight of the plant.";"";"";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001416";"T1BL1RS_M_0to1";"T1BL1RS_0_1";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29002";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000158";"Translocation 1BL/1RS";"Quality traits";"The 1bl/1rs translocation in wheat resulted from replacing the short arm of the chromosome 1b of wheat by the short arm of the chromosome 1r of rye (Secale cereale l.).";"1BL/1RS translocation";"T1BL1RS";"1BL1RS";"Translocation 1BL/1RS";"Absence/Presence";"";"";"CO_321:0000396";"SDS-PAGE Electrophoresis (1BL1RS)";"Measurement";"Detect in the SDS-PAGE gel the presence of some protein bands from rye chromosome translocation.";"";"";"CO_321:0000599";"0-1 absent-present";"Nominal";"";"";"";"";"0= absent";"1= present";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001422";"WMFlrSDS_M_ml";"WMFLRSDS_ml";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23004";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000147";"Whole meal flour SDS sedimentation";"Quality traits";"Testing of whole-meal flour quality by SDS-sedimentation, a test estimating gluten-protein overall quality.";"grain SDS-sedimentation, whole meal flour SDS-sedimentation";"WMFlrSDS";"";"Whole meal flour";"SDS-sedimentation volume";"";"";"CO_321:0000386";"SDS-sedimentation determination";"Measurement";"A small sample of flour or ground wheat (1.0 grams) is weighed and placed in 25-milliliter glass-stoppered graduated cylinder. This is mixed with different solutions for some minutes and then rested. Finally, the volume of the sediment is recorded after 21 minutes.";"";"";"CO_321:0000427";"ml";"Numerical";"1";"4";"25";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001139";"SedIdx_M_mlpct";"SEDINDX_ml_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29164";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000160";"Flour SDS sedimentation index";"Quality traits";"Is the result of dividing sedimentation volume by flour protein content.";"Specific sedimentation value, Relative sedimentation index";"SedIdx";"SEDINDX";"Flour";"Sedimentation index";"";"";"CO_321:0000398";"SedIdx Measurement";"Measurement";"Standard method for sedimentation index.";"";"";"CO_321:0000631";"ml/%";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001269";"PrecoSdlgResp_E_0to8";"PRECO_0_8__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"BMS_29142";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000901";"Leaf rust seedling response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";"";"PrecoSdlgResp";"BwRustSdlgResp, LRSdlgResp";"Seedling";"Leaf rust seedling response";"";"";"CO_321:0000604";"Seedling rust field response Estimation";"Estimation";"Seedling host responses are normally scored as susceptible or resistant depending on the infection type produced with a designated isolate in a particular environment. The infection type produced will often change if the environment is altered.";"";"Roelfs, A.P., R.P. Singh, and E.E. Saari. 1992. Rust Diseases of Wheat: Concepts and methods of disease management. Mexico, D.F.: CIMMYT.";"CO_321:0000606";"0-8 Rust infection type";"Ordinal";"1";"";"";"";",= nearly immune, no uredinia, but hypersensitive necrotic or chlorotic flecks present (,)";"1= very resistant, small uredinia surrounded by necrosis (1)";"2= moderately resistant, small to medium uredinia often surrounded by Chlorosis or necrosis, green island may be surrounded by chlorotic or necrotic border (2)";"3= moderately susceptible, medium-sized uredinia that may be associated with chlorosis (3)";"4= susceptible, large uredinia without chlorosis (4)";"I= immune, no uredinia or other macroscopic sign of infection (0)";"X= heterogeneous, random distribution of variable-sized uredinia on single leaf (X)";"Y= heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf tip (Y)";"Z= Heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf base (Z)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001382";"PgramSdlgResp_E_0to8";"PGRAM_0_8__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"BMS_29131";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000904";"Stem rust seedling response";"Biotic stress traits";"Stem rust (black rust) response in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramSdlgResp";"PGRAM";"Seedling";"Stem rust seedling response";"";"";"CO_321:0000604";"Seedling rust field response Estimation";"Estimation";"Seedling host responses are normally scored as susceptible or resistant depending on the infection type produced with a designated isolate in a particular environment. The infection type produced will often change if the environment is altered.";"";"Roelfs, A.P., R.P. Singh, and E.E. Saari. 1992. Rust Diseases of Wheat: Concepts and methods of disease management. Mexico, D.F.: CIMMYT.";"CO_321:0000606";"0-8 Rust infection type";"Ordinal";"1";"";"";"";",= nearly immune, no uredinia, but hypersensitive necrotic or chlorotic flecks present (,)";"1= very resistant, small uredinia surrounded by necrosis (1)";"2= moderately resistant, small to medium uredinia often surrounded by Chlorosis or necrosis, green island may be surrounded by chlorotic or necrotic border (2)";"3= moderately susceptible, medium-sized uredinia that may be associated with chlorosis (3)";"4= susceptible, large uredinia without chlorosis (4)";"I= immune, no uredinia or other macroscopic sign of infection (0)";"X= heterogeneous, random distribution of variable-sized uredinia on single leaf (X)";"Y= heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf tip (Y)";"Z= Heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf base (Z)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001648";"PstriSdlgResp_E_0to8";"PSTRI_0_8__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0001527";"Stripe rust seedling response";"Biotic stress traits";"Stripe rust (yellow rust) response in the seedlings caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSdlgResp";"YRustResp, YRResp, PSTRIL";"Seedling";"Stripe rust seedling response";"";"";"CO_321:0000604";"Seedling rust field response Estimation";"Estimation";"Seedling host responses are normally scored as susceptible or resistant depending on the infection type produced with a designated isolate in a particular environment. The infection type produced will often change if the environment is altered.";"";"Roelfs, A.P., R.P. Singh, and E.E. Saari. 1992. Rust Diseases of Wheat: Concepts and methods of disease management. Mexico, D.F.: CIMMYT.";"CO_321:0000606";"0-8 Rust infection type";"Ordinal";"1";"";"";"";",= nearly immune, no uredinia, but hypersensitive necrotic or chlorotic flecks present (,)";"1= very resistant, small uredinia surrounded by necrosis (1)";"2= moderately resistant, small to medium uredinia often surrounded by Chlorosis or necrosis, green island may be surrounded by chlorotic or necrotic border (2)";"3= moderately susceptible, medium-sized uredinia that may be associated with chlorosis (3)";"4= susceptible, large uredinia without chlorosis (4)";"I= immune, no uredinia or other macroscopic sign of infection (0)";"X= heterogeneous, random distribution of variable-sized uredinia on single leaf (X)";"Y= heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf tip (Y)";"Z= Heterogeneous, ordered distribution of variable-sized uredinia, with larger uredinia at leaf base (Z)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001336";"SemoYellPig_M_ppm";"SEMOYELPIG_ppm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29168";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000674";"Semolina yellow pigment content";"Quality traits";"Semolina yellow pigment content due to the presence of xanthophyll and other related compounds.";"";"SemoYellPig";"SEMOYELPIG";"Semolina";"Yellow pigment content";"";"";"CO_321:0000848";"SemoYellPig Measurement";"Measurement";"Standard method for semolina yellow pigment.";"";"";"CO_321:0000425";"ppm";"Numerical";"1";"1";"15";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001337";"SepSPInc_E_pct";"SEPSP_pct__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23030";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000914";"Septoria blotch incidence";"Biotic stress traits";"Septoria blotch incidence in the plants caused by the agent Septoria species.";"";"SepSPInc";"";"Leaf";"Septoria blotch incidence";"";"";"CO_321:0000915";"SepSPInc Estimation";"Estimation";"Standard method for Septoria species incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001338";"SepSpLegacy_E_1to9";"SEPSP_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23028";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000916";"Septoria blotch legacy";"Biotic stress traits";"Septoria blotch incidence/severity/response in the plants caused by the agent Septoria species.";"";"SepSpLegacy";"";"Leaf";"Septoria blotch legacy";"";"";"CO_321:0000358";"SepSpLegacy Estimation";"Estimation";"Standard method for Septoria species legacy.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000789";"1-9 disease scale";"Ordinal";"1";"";"";"";"1= ";"2= ";"3= ";"4= ";"5= ";"6= ";"7= ";"8= ";"9= ";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001339";"SepSpLegacy_E_9to1";"SEPSP_9_1";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23033";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000916";"Septoria blotch legacy";"Biotic stress traits";"Septoria blotch incidence/severity/response in the plants caused by the agent Septoria species.";"";"SepSpLegacy";"";"Leaf";"Septoria blotch legacy";"";"";"CO_321:0000358";"SepSpLegacy Estimation";"Estimation";"Standard method for Septoria species legacy.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000790";"9-1 disease scale";"Ordinal";"1";"";"";"";"1= ";"2= ";"3= ";"4= ";"5= ";"6= ";"7= ";"8= ";"9= ";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001340";"SepSpResp_E_0to5";"SEPSP_0_5__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23031";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000715";"Septoria blotch plant response";"Biotic stress traits";"Septoria blotch response in the plants caused by the agent Septoria species.";"";"SepSpResp";"";"Leaf";"Septoria blotch plant response";"";"";"CO_321:0000716";"SepSpResp Estimation";"Estimation";"Standard method for Septoria species response.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000735";"0-5 Septoria Response scale";"Ordinal";"1";"";"";"";"HR= Highly Resistant (HR) - No or only occasional isolated pycnidia formed, particularly in older leaf tissue, hypersensitive flecking in younger leaf tissue.";"I= Intermediate (I) - Light pycnidial format ion. Coalescing of lesions normally noticeable towards the leaf tip and elsewhere on the leaf.";"Imm= Immune (Imm) - No pycnidial formation, no symptoms or occasional hypersensitive fleck.";"R= Resistant (R) - Very light pycnidial formation. Some coalescing of lesions mainly toward the leaf tip and in older leaf tissue.";"S= Susceptible (S) - Moderate pycnidial formation, lesions coalescing considerably.";"VS= Very susceptible (VS), large, abundant pycnidia, lesions coalescing extensively";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001341";"SepSpResp_E_1to5";"SEPSP_1_5__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_23032";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000715";"Septoria blotch plant response";"Biotic stress traits";"Septoria blotch response in the plants caused by the agent Septoria species.";"";"SepSpResp";"";"Leaf";"Septoria blotch plant response";"";"";"CO_321:0000716";"SepSpResp Estimation";"Estimation";"Standard method for Septoria species response.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000729";"1-5 Septoria response scale";"Ordinal";"1";"";"";"";"MR= moderately resistant (MR), average pycnidial density coverage of 15-30%";"MS= moderately susceptible (MS), average pycnidial density coverage of 30-40%";"R= resistant (R), average pycnidial density of 5-15%";"S= susceptible (S), pycnidial density greater than 40%";"VR= very resistant (VR), average pycnidial density of 0-5%";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001343";"SepSpSev_E_0to9pcttext";"SEPSP_0_9text__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_23027";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000714";"Septoria blotch severity";"Biotic stress traits";"Septoria blotch severity in the plants caused by the agent Septoria species.";"";"SepSpSev";"";"Leaf";"Septoria blotch severity";"";"";"CO_321:0000879";"SepSpSev Estimation";"Estimation";"Standard method for Septoria species causing Septoria blotch severity.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001332";"SGNDmg_E_pct";"ATRITDMG _pct";"Trial evaluation";"From DS35";"";"BMS_29016";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000110";"Seed gall nematode damage";"Biotic stress traits";"The wheat seed-gall nematode damage caused by Anguina tritici.";"";"SGNDmg";"AtritDmg";"Plant";"Seed gall nematode damage";"";"";"CO_321:0000326";"SGNDmg Estimation";"Estimation";"Distorted leaves and stems are evident prior to heading. As diseased plants approach maturity, galls are formed in the florets, replacing the kernels. The galls are similar in shape to the seed they replace and are dark brown in color. Large numbers of motile larvae are present within the galls and become active after the galls have been moistened. These nematodes can act as vectors of Clavibacter tritici.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001616";"SLA_M_m2kg1";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001500";"Specific leaf area";"Physiological traits";"A ratio of the leaf area to dry mass.";"";"SLA";"";"Leaf";"Specific leaf area";"";"";"CO_321:0001551";"SLA Measurement";"Measurement";"Leaf area of flag leaf or all laminas is measured. Then the leaves are oven dried at 60-70oC for 48h and the dry weight is recorded. Then, the specific leaf area is calculated as the ratio of leaf area to dry mass SLA= leaf area/dry mass.";"";"";"CO_321:0000805";"g/m2";"Numerical";"0";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001365";"SN_Calc_Spksm2";"SNO_spk_m2";"Trial evaluation";"DS75-DS89";"";"BMS_22909";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000166";"Spike number";"Agronomical traits";"Number of spikes (fertile culms) per unit area, sample or plant.";"Ear number";"SN";"SNO, SpkNO, SpkNo";"Spike";"Number";"";"";"CO_321:0000958";"SN Computation";"Computation";"Calculated from yield components sampling.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000441";"spike/m2";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001366";"SN_M_Spksm";"SNO_spk_m";"Trial evaluation";"DS75-DS89";"";"BMS_29172";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000166";"Spike number";"Agronomical traits";"Number of spikes (fertile culms) per unit area, sample or plant.";"Ear number";"SN";"SNO, SpkNO, SpkNo";"Spike";"Number";"";"";"CO_321:0000354";"SN Measurement";"Measurement";"It can be easily and non-destructively measured during grain-filling (i.e., before physiological maturity) by counting in a given area or length of row.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000818";"spike/m";"Numerical";"0";"10";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001358";"SnailDmg_E_pct";"SNAILDMG_pct";"Trial evaluation";"After the event";"";"BMS_29171";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000093";"Snail damage";"Biotic stress traits";"The plant damage caused by snails.";"";"SnailDmg";"";"Plant";"Snail damage";"";"";"CO_321:0000313";"SnailDmg Estimation";"Estimation";"Standard method for snail damage.";"";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001345";"SnodoInc_E_0to9pcttext";"SNODO_0_9text__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22777";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000917";"Septoria nodorum blotch incidence";"Biotic stress traits";"Septoria nodorum blotch incidence in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoInc";"";"Plant";"Septoria nodorum blotch incidence";"";"";"CO_321:0000880";"SnodoInc Estimation";"Estimation";"Standard method for Septoria nodorum blotch incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001346";"SnodoInc_E_pct";"SNODO_pct__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. 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Stagonospora nodorum).";"";"SnodoInc";"";"Plant";"Septoria nodorum blotch incidence";"";"";"CO_321:0000880";"SnodoInc Estimation";"Estimation";"Standard method for Septoria nodorum blotch incidence.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001347";"SnodoLegacy_E_1to9";"SNODO_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22781";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000918";"Septoria nodorum blotch legacy";"Biotic stress traits";"Septoria nodorum blotch incidence/severity/response in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. 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Stagonospora nodorum).";"";"SnodoLegacy";"";"Plant";"Septoria nodorum blotch legacy";"";"";"CO_321:0000343";"SnodoLegacy Estimation";"Estimation";"Standard method for Septoria nodorum blotch legacy.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000790";"9-1 disease scale";"Ordinal";"1";"";"";"";"1= ";"2= ";"3= ";"4= ";"5= ";"6= ";"7= ";"8= ";"9= ";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001446";"SnodoSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000717";"Septoria nodorum blotch severity";"Biotic stress traits";"Septoria nodorum blotch severity in the plants caused by the agent Stagonospora nodorum (syn. Septoria glume blotch) (Phaeosphaeria nodorum (E. Müller) Hedjaroude (syn. Stagonospora nodorum).";"";"SnodoSev";"";"Plant";"Septoria nodorum blotch severity";"";"";"CO_321:0000991";"SnodoSev Estimation";"Estimation";"Standard method for Septoria nodorum blotch severity.";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001362";"SpkDen_E_1to9";"SPKDEN_1_9";"Descriptor";"DS61-DS75";"";"BMS_29173";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000055";"Spike density";"Morphological traits";"Density or compactness of a wheat spike.";"Spike compactness, ear compactness";"SpkDen";"";"Spike";"Density";"";"";"CO_321:0000276";"SpkDen Estimation";"Estimation";"Standard method for spike density.";"";"";"CO_321:0000467";"1-9 SPKDEN scale";"Ordinal";"1";"1";"9";"";"1= very lax";"2= very lax to lax";"3= lax";"4= lax to intermediate";"5= intermediate";"6= intermediate to dense";"7= dense";"8= dense to very dense";"9= very dense";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001363";"SpkDis_E_1to5";"SPKDIS_1_5, SpkDis_N_T_S_M_V";"Trial evaluation";"After the event";"";"BMS_22986";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000684";"Spike disease development";"Biotic stress traits";"The plant damage caused by spike diseases.";"";"SpkDis";"";"Spike";"Spike disease development";"";"";"CO_321:0000722";"SpkDis Estimation";"Estimation";"Standard method for spike disease development.";"";"";"CO_321:0000457";"1-5 DMG scale";"Ordinal";"1";"";"";"";"1= none (N)";"2= trace (T)";"3= slight (S)";"4= moderate (M)";"5= very severe (V)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001644";"SpkDW_Calc_gm2";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001523";"Spike dry weight";"Agronomical traits";"Dry weight of spike(s).";"";"SpkDW";"";"Spike";"Spike dry weight";"";"";"CO_321:0001579";"SpkDW Computation";"Computation";"Standard spike dry weight method.";"";"";"CO_321:0000805";"g/m2";"Numerical";"0";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001610";"SpkPho_Textile_pct";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001494";"Spike photosynthesis contribution";"Physiological traits";"Photosynthetic contribution of the spike (ear) to grain yield.";"";"SpkPho";"";"Spike";"Spike Photosynthesis";"";"";"CO_321:0001545";"SpkPho Computation";"Computation";"Textile treatment is used to inhibit photosynthesis of the spikes through shading(comparison between control and treated spikes). Randomly selected spikes (for example: 12 spikes) per plot are covered with a special designed textile 10 days after anthesis under irrigation and drought or 10 days after heading under heat environments. Then, at physiological maturity the spikes are harvested together with 12 control spikes and the number of grains and weight are recorded and compared the treated spikes with the control ones (Sanchez-Bragado et al., 2016).";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001612";"SpkPI_Calc_Idx";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001496";"Spike partitioning index";"Physiological traits";"Spike partitioning index.";"";"SpkPI";"SPI";"Spike";"Partitioning index";"";"";"CO_321:0001547";"SpkPI Computation";"Computation";"Calculated from shoots sampled seven days after anthesis and SPI is expressed as a ratio and can be calculated as SPI= (dry weight of spikes at anthesis+7/dry weight of the whole plants (shoots) at anthesis+7).";"SpikeDW Anth+7/Shoot DW Anth+7";"";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001390";"SpkSterility_Calc_pct";"STERIND_pct";"Research-intensive characterization";"DS71-DS79";"";"BMS_23014";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000165";"Spike sterility index";"Agronomical traits";"Spike sterility observed as infertile florets.";"";"SpkSterility";"SterInd";"Spike";"Sterility";"";"";"CO_321:0000959";"SpkSterility Computation";"Computation";"Standard method for sterility index computation.";"xxxx";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001389";"SpkSterility_E_0to6";"STERIND_0_6";"Research-intensive characterization";"DS71-DS79";"Obsolete/legacy";"BMS_23013";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000165";"Spike sterility index";"Agronomical traits";"Spike sterility observed as infertile florets.";"";"SpkSterility";"SterInd";"Spike";"Sterility";"";"";"CO_321:0000353";"SpkSterility Estimation";"Estimation";"Standard method for sterility index.";"";"";"CO_321:0000819";"0-6 Sterility scale";"Ordinal";"1";"";"";"";"0= ";"1= ";"2= ";"3= ";"4= ";"5= ";"6= 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Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotInc";"";"Leaf";"Tan spot incidence";"";"";"CO_321:0000726";"TanSpotInc Estimation";"Estimation";"Standard method for tan spot incidence in adult plants.";"";"Duveiller et al., 1998, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001404";"TanSpotResp_E_1to5";"TANSPOT_1_5__ADLTRESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. 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Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotResp";"";"Leaf";"Tan spot plant response";"";"";"CO_321:0000724";"TanSpotResp Estimation";"Estimation";"Standard method for scoring tan spot response in adult plants.";"";"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000463";"1-5 TANSPOT field response scale";"Ordinal";"1";"";"";"";"MR= Moderately-resistant, small dark brown to black spots with very little chlorosis or tan necrosis";"MR-MS= Moderately resistant to moderately susceptible, small dark brown to black spots completely surrounded by a distinct chlorotic or tan necrosis";"MS= Moderately susceptible, small dark brown to black spots completely surrounded with chlorotic or tan necrostic zones, some of the lesions coalescing";"R= Resistant, small dark brown to black spots without any surrounding chlorosis or tan necrosis";"S= Susceptible, small dark brown to black centres may or may not be distinguishable, most lesions consist of coalescing chlorotic or tan necrotic zones";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001405";"TanSpotSdlgResp_E_0to5";"TANSPOT_0_5__SEEDRESP";"Nursery/Trial evaluation";"DS11-DS15";"";"BMS_29187";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000911";"Tan spot seedling response";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) response in the plants caused by the agent Pyrenophora tritici-repentis (helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSdlgResp";"";"Seedling";"Tan spot seedling response";"";"";"CO_321:0000603";"TanSpotSdlgResp Estimation";"Estimation";"Standard method for scoring tan spot response in seedlings.";"";"Duveiller et al., 1998, Duveiller et al., 2012, Lamari and Bernier, 1998.";"CO_321:0000445";"0-5 TANSPOT field response scale";"Ordinal";"1";"";"";"";"0= No visible infection on plants";"MR= Moderately-resistant, small dark brown to black spots with very little chlorosis or tan necrosis";"MR-MS= Moderately resistant to moderately susceptible, small dark brown to black spots completely surrounded by a distinct chlorotic or tan necrosis";"MS= Moderately susceptible, small dark brown to black spots completely surrounded with chlorotic or tan necrostic zones, some of the lesions coalescing";"R= Resistant, small dark brown to black spots without any surrounding chlorosis or tan necrosis";"S= Susceptible, small dark brown to black centres may or may not be distinguishable, most lesions consist of coalescing chlorotic or tan necrotic zones";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001449";"TanSpotSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000650";"Tan spot severity";"Biotic stress traits";"Tan spot (Pyrenophora yellow leaf blotch, yellow spot) severity in the plants caused by the agent Pyrenophora tritici-repentis (Helminthosporium tritici-repentis). Symptoms: the lesions appear as tan to brown flecks, which expand into large, irregular, oval- or lens-shaped tan blotches with a yellow or chlorotic margin.";"";"TanSpotSev";"";"Leaf";"Tan spot severity";"";"";"CO_321:0001434";"TanSpotSev Estimation";"Estimation";"Standard method for tan spot severity.";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001368";"Threshblty_E_1to9";"THRESHBLTY_1_9";"Nursery/Trial evaluation";"After physiological maturity (DS87)";"";"BMS_29190";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000659";"Spike threshability";"Morphological traits";"Threshability (ease to thresh) is a score where several spike-related traits such as rachis fragility (brittle or non-brittle rachis) and glume tenacity (hulled or free-threshing).";"";"Threshblty";"";"Spike";"Threshability";"";"";"CO_321:0000831";"Threshblty Estimation";"Estimation";"Observe threshability by hand threshing of one or two spikes and rate it according how easily grains are separated from the rachis and glumes using 1 (hard to thresh) to 9 (easy to thresh) scale.";"";"";"CO_321:0000828";"1-9 general scale";"Ordinal";"1";"";"";"";"1= none";"2= very low";"3= low";"4= low to moderate";"5= moderate";"6= moderate to high";"7= high";"8= high to very high";"9= very high";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001253";"TindiInc_E_pct";"TINDI_pct";"Nursery/Trial evaluation";"After physiological maturity (DS87)";"";"BMS_29192";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000106";"Karnal bunt incidence";"Biotic stress traits";"Karnal bunt incidence in the plants caused by the agent Tilletia indica (syn. Neovossia indica).";"";"TindiInc";"KBInc, TINDI, KB";"Spike";"Karnal bunt incidence";"";"";"CO_321:0000323";"TindiInc Estimation";"Estimation";"Standard method for karnal bunt incidence.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001414";"TlaevInc_E_pct";"TLAEV_pct__INC";"Nursery/Trial evaluation";"From DS85";"";"BMS_29193";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000099";"Tilletia laevis bunt incidence";"Biotic stress traits";"Bunt incidence in the plants caused by the agent Tilletia laevis (stinking bunt, covered smut, hill bunt, complete bunt, low bunt, high bunt).";"";"TlaevInc";"TLAEV, CB";"Spike";"Tilletia laevis bunt incidence";"";"";"CO_321:0000317";"TlaevInc Estimation";"Estimation";"Tilletia laevis incidence is usually expressed as the percentage of bunted spikes within a row.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001413";"TllrCapacity_E_1to5";"TllrCAPACITY_1_5";"Trial evaluation";"DS30-DS45";"";"BMS_29191";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000189";"Tillering capacity";"Agronomical traits";"An tillering capacity.";"Plant Tillering capacity";"TllrCapacity";"";"Plant";"Tillering capacity";"";"";"CO_321:0000370";"TllrCapacity Estimation";"Estimation";"Standard method for tillering capacity.";"";"";"CO_321:0000462";"1-5 scoring scale";"Ordinal";"1";"";"";"";"1= very poor (VP)";"2= poor (P)";"3= fair (F)";"4= good (G)";"5= very good (VG)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001658";"TllrGW_M_g";"";"Trial evaluation";"After physiological maturity (DS87)";"";"";"CIMMYT";"Rosemary Shrestha";"03-May-2018";"EN";"Wheat";"CO_321:0001653";"Grain weight per tiller";"Agronomical traits";"Grain weight per tiller.";"";"GWTTILL";"";"Tiller";"Grain weight";"";"";"CO_321:0001655";"TllrGW Measurement";"Measurement";"";"";"";"CO_321:0001593";"g";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001410";"TN_Ct_Tllrm";"TNO_tll_m";"Trial evaluation";"DS30-DS55";"";"BMS_29194";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000190";"Tiller number";"Agronomical traits";"Number of total tillers (fertile and infertile) per unit area, sample or plant.";"";"TN";"TllNo, TNO";"Tiller";"Tiller number";"";"";"CO_321:0000371";"TN Counting";"Counting";"Count or calculate the number of total tillers (fertile and infertile) per lineal meter, per plant or per square meter.";"";"";"CO_321:0000820";"tiller/m";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001411";"TN_Ct_Tllrm2";"TNO_tll_m2";"Trial evaluation";"DS30-DS55";"";"BMS_29195";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000190";"Tiller number";"Agronomical traits";"Number of total tillers (fertile and infertile) per unit area, sample or plant.";"";"TN";"TllNo, TNO";"Tiller";"Tiller number";"";"";"CO_321:0000371";"TN Counting";"Counting";"Count or calculate the number of total tillers (fertile and infertile) per lineal meter, per plant or per square meter.";"";"";"CO_321:0000821";"tiller/m2";"Numerical";"0";"0";"10000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001412";"TN_Ct_TllrPlnt";"TNO_tll_pl";"Trial evaluation";"DS30-DS55";"";"BMS_29196";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000190";"Tiller number";"Agronomical traits";"Number of total tillers (fertile and infertile) per unit area, sample or plant.";"";"TN";"TllNo, TNO";"Tiller";"Tiller number";"";"";"CO_321:0000371";"TN Counting";"Counting";"Count or calculate the number of total tillers (fertile and infertile) per lineal meter, per plant or per square meter.";"";"";"CO_321:0000444";"tiller/plant";"Numerical";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001615";"TSPI_M_Idx";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001499";"True stem partitioning index";"Physiological traits";"True stem partitioning index.";"";"TSPI";"TSPI";"Stem";"True stem partitioning index";"";"";"CO_321:0001550";"TSPI Computation";"Measurement";"True Stem Coefficient = True stem DM measured at 7 DAA/whole plant DM at 7 DAA. Individual shoots (for example: 10-20) are harvested seven days after anthesis and the shoots are separated into: spikes, leaf laminas, true stem, leaf sheath. The dry weight of true stem is recorded and the total dry weight calculated. The partitioning index is calculated comparing the weight of each individual part regarding the total weight of the plant.";"";"";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001408";"TSpl_date_ymd";"TSD_yyyymmdd, TSD";"Research-intensive characterization";"DS25-DS30 approx.";"";"BMS_29197";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000940";"Terminal spikelet time";"Phenological traits";"Terminal spikelet time is when the last spikelet, the terminal spikelet, has been produced.";"";"TSpl";"TS";"Plant";"Terminal spikelet time";"";"";"CO_321:0000844";"TSpl date Estimation";"Estimation";"Record date of terminal spikelet stage (DS25-30 approx.). It is estimated as the date at which the final spikelet can be observed on the forming spike within the stem of the main culm, typically measured on around 3-5 plants per plot. It required a main tiller dissection and an observation of the apex on an optic magnifier.";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000850";"yyyymmdd";"Time";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001409";"TSpl_dto_day";"DTTS_days, DTTS";"Research-intensive characterization";"DS25-DS30 approx.";"";"BMS_29042";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000940";"Terminal spikelet time";"Phenological traits";"Terminal spikelet time is when the last spikelet, the terminal spikelet, has been produced.";"";"TSpl";"TS";"Plant";"Terminal spikelet time";"";"";"CO_321:0000380";"TSpl DT Computation";"Computation";"Number of days from sowing to terminal spikelet (DS25-30 approx.). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Kirby and Appleyard, 1984";"CO_321:0000434";"day";"Duration";"0.0";"40.0";"240.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001606";"TTA_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001492";"Anthesis thermal time";"Phenological traits";"Thermal Time from emergence to Anthesis (GS65).";"";"TTA";"";"Plant";"Anthesis thermal time";"";"";"CO_321:0001541";"TTA Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until anthesis (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1.0";"0.0";"2000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001604";"TTB_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001490";"Booting thermal time";"Phenological traits";"Thermal Time from emergence to Booting (GS45).";"";"TTB";"";"Plant";"Booting thermal time";"";"";"CO_321:0001539";"TTB Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until booting (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1.0";"0.0";"2000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001605";"TTH_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001491";"Heading thermal time";"Phenological traits";"Thermal Time from emergence to Heading (GS55).";"";"TTH";"";"Plant";"Heading thermal time";"";"";"CO_321:0001540";"TTH Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until emergence (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1.0";"0.0";"2000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001603";"TTIB_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001489";"Booting initiation thermal time";"Phenological traits";"Thermal Time from emergence to Initiation of Booting (GS41).";"";"TTIB";"";"Plant";"Initiation of Booting thermal time";"";"";"CO_321:0001538";"TTIB Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until initiation of booting (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1.0";"0.0";"2000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001607";"TTM_calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001493";"Physiological maturity thermal time";"Phenological traits";"Thermal Time from emergence to Physiological Maturity (GS87).";"";"TTM";"";"Plant";"Physiological maturity thermal time";"";"";"CO_321:0001542";"TTM Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until physiological maturity (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1.0";"0.0";"2000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001415";"TtritInc_E_pct";"TTRIT _pct__INC";"Nursery/Trial evaluation";"From DS85";"";"BMS_29198";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000100";"Tilletia tritici bunt incidence";"Biotic stress traits";"Bunt incidence in the plants caused by the agent Tilletia tritici (stinking bunt, covered smut, hill bunt, complete bunt, low bunt, high bunt).";"";"TtritInc";"TTRIT, CB";"Spike";"Tilletia tritici bunt incidence";"";"";"CO_321:0000318";"TtritInc Estimation";"Estimation";"Tilletia tritici incidence is usually expressed as the percentage of bunted spikes within a row.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001602";"TTTS_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001488";"Terminal spikelet thermal time";"Phenological traits";"Thermal Time from emergence to Terminal Spikelet (GS30).";"";"TTTS";"";"Plant";"Terminal spikelet thermal time";"";"";"CO_321:0001537";"TTTS Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until terminal spikelet(thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1.0";"0.0";"2000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001129";"UagroResp_E_1to8";"UAGRO_1_8__RESP";"Nursery/Trial evaluation";"From booting (DS45)";"";"BMS_29199";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000103";"Flag smut plant response";"Biotic stress traits";"Flag smut disease response in the plants caused by the agent Urocystic agropyri causing flag smut disease.";"";"UagroResp";"UAGRO";"Plant";"Flag smut plant response";"";"";"CO_321:0000321";"UagroResp Estimation";"Estimation";"Standard method for flag smut field response.";"";"Wilcoxson and Saari, 1996";"CO_321:0000471";"1-8 generic disease field response scale";"Ordinal";"1.0";"";"";"";"0= no visible infection (0)";"MR= moderately resistant (MR), small lesions surrounded by necrotic areas";"I= intermediate (M), lesions of variable size, some necrosis and/or chlorosis";"R= resistant (R), necrotic areas with or without small lesions";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large lesions, no necrosis or chlorosis";"MS= moderately Susceptible (MS), medium-sized lesions, no necrosis, but some chlorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001188";"UseTyp_M_1to9+text";"USETYP_1_9_text";"Trial evaluation";"After harvest (From DS87)";"Obsolete/legacy";"BMS_29200";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000221";"Grain end use type";"Quality traits";"Bread wheat end use quality is classified according several quality attributes.";"Grain use type";"UseTyp";"";"Grain";"End use type";"";"";"CO_321:0000401";"UseTyp Measurement";"Measurement";"Standard method for grain use type.";"";"Peña, 2009";"CO_321:0000469";"1-9 USETYP scale";"Nominal";"0.0";"";"";"";"1a";"2b";"3a";"1b";"2a";"4b";"5.0";"3b";"4a";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001285";"UtritInc_E_pct";"UTRIT_pct__INC";"Nursery/Trial evaluation";"From DS75";"";"BMS_22840";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000921";"Loose smut incidence";"Biotic stress traits";"Loose smut incidence in the plants caused by Ustilago tritici.";"";"UtritInc";"UTRIT";"Spike";"Loose smut incidence";"";"";"CO_321:0000325";"UtritInc Estimation";"Estimation";"Standard method for loose smut incidence.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001286";"UtritInc_E_1to9";"UTRIT_1_9__INC";"Nursery/Trial evaluation";"From DS75";"";"BMS_29201";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000921";"Loose smut incidence";"Biotic stress traits";"Loose smut incidence in the plants caused by Ustilago tritici.";"";"UtritInc";"UTRIT";"Spike";"Loose smut incidence";"";"";"CO_321:0000325";"UtritInc Estimation";"Estimation";"Standard method for loose smut incidence.";"";"Wilcoxson and Saari, 1996";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1.0";"";"";"";"1= none";"4= low to medium";"5= medium";"2= very low";"3= low";"8= very high";"9= severe";"6= medium to high";"7= high";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001310";"VgP_calc_day";"VEGPERIOD_days";"Research-intensive characterization";"DS10-DS31";"";"BMS_29202";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000670";"Plant vegetative period";"Phenological traits";"Time period between emergence (ds10) and first node detectable (ds31).";"";"VgP";"VegPeriod, VegP, VP";"Plant";"Vegetative period";"";"";"CO_321:0001429";"VgP Computation";"Computation";"Calculated as time in days between emergence (DS10) and first node detectable (DS31).";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0.0";"40.0";"240.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001311";"VgP_calc_pct";"VEGPERIOD_pct";"Research-intensive characterization";"DS10-DS31";"";"BMS_29203";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000670";"Plant vegetative period";"Phenological traits";"Time period between emergence (ds10) and first node detectable (ds31).";"";"VgP";"VegPeriod, VegP, VP";"Plant";"Vegetative period";"";"";"CO_321:0001429";"VgP Computation";"Computation";"Calculated as time in days between emergence (DS10) and first node detectable (DS31).";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001424";"WKill_E_0to9";"WKILL_0_9";"Nursery/Trial evaluation";"After the event";"";"BMS_23073";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000164";"Winter kill damage";"Abiotic stress traits";"Plants killed as a result of winter conditions.";"Winter susceptibility";"WKill";"";"Plant";"Winter kill damage";"";"";"CO_321:0000352";"WKill Estimation";"Estimation";"Observe winterkill of plants per plot and rate it.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000449";"0-9 DAMAGE scale";"Ordinal";"1.0";"";"";"";"0= no damage";"3= low damage";"4= low to intermediate damage";"1= trace";"2= very low damage";"7= high damage";"8= high to very high damage";"5= intermediate damage";"6= intermediate to high damage";"9= very high damage";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001426";"WKill_E_1to5";"WKILL_1_5";"Nursery/Trial evaluation";"After the event";"";"BMS_23074";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000164";"Winter kill damage";"Abiotic stress traits";"Plants killed as a result of winter conditions.";"Winter susceptibility";"WKill";"";"Plant";"Winter kill damage";"";"";"CO_321:0000352";"WKill Estimation";"Estimation";"Observe winterkill of plants per plot and rate it.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000457";"1-5 DMG scale";"Ordinal";"1.0";"";"";"";"1= none (N)";"4= moderate (M)";"5= very severe (V)";"2= trace (T)";"3 = slight (S)";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001466";"WMFlrAsh_E_pct";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000978";"Whole meal flour ash content";"Quality traits";"Ash content in flour.";"";"WMFlrAsh";"";"Whole meal flour";"Ash content";"";"";"CO_321:0001001";"WMFlrAsh Estimation";"Estimation";"Standard method for ash content in whole meal flour.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001421";"WMFlrFN_M_s";"WMFLRFN_s";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29208";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000071";"Whole meal flour falling number";"Quality traits";"Indication of the amount of sprout damage that has occurred within a wheat sample. falling number value of 350 seconds or longer indicates a low enzyme activity and very sound wheat quality. as the amount of enzyme activity increases, the falling number decreases. Values below 200 seconds indicate high levels of enzyme activity.";"";"WMFlrFN";"";"Whole meal flour";"Falling number";"";"";"CO_321:0000293";"WMFlrFN Measurement";"Measurement";"Standard method for whole meal flour falling number.";"";"";"CO_321:0000430";"s";"Duration";"0.0";"60.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001423";"WMFlrYellPig_M_ppm";"WMFLRYELPIG_ppm";"Trial evaluation";"After harvest (From DS87)";"";"BMS_22895";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000677";"Whole meal flour yellow pigment content";"Quality traits";"Whole meal flour yellow pigment content due to the presence of xanthophyll and other related compounds.";"";"WMFlrYellPig";"WMFLRYELPIG";"Whole meal flour";"Yellow pigment content";"";"";"CO_321:0000849";"WMFlrYellPig Measurement";"Measurement";"Standard method for whole meal flour yellow pigment.";"";"";"CO_321:0000425";"ppm";"Numerical";"1.0";"1.0";"15.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001427";"WormDmg_E_pct";"WORMDMG_pct";"Trial evaluation";"After the event";"";"BMS_22923";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000685";"Worm damage";"Biotic stress traits";"The plant damage caused by worms.";"";"WormDmg";"";"Plant";"Worm damage";"";"";"CO_321:0000605";"WormDmg Estimation";"Estimation";"Standard method for worm damage.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001452";"Wsurv_E_pct";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000963";"Winter survival";"Abiotic stress traits";"Ability to survive or withstand cold temperatures in the late fall, winter, or early spring.";"winter hardiness";"Wsurv";"";"Plant";"Winter survival";"";"";"CO_321:0001437";"Wsurv Estimation";"Estimation";"Standard method for winter 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content.";"";"";"CO_321:0000425";"ppm";"Numerical";"1.0";"1.0";"15.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001200";"GrnSpk_Calc_GrnSpk";"GRNSPK, grains/spike, GRNSPK_num";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_22908";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000038";"Grain number per spike";"Agronomical traits";"Number of grains per spike.";"Kernel number per spike, grains per spike";"GrnSpk";"GRNSPK";"Spike";"Grain number";"";"";"CO_321:0000258";"GrnSpk Computation";"Computation";"The number of grains per spike can be measured independently by threshing a known number of randomly selected spikes per plot (10-20 spikes per plot) or can be calculated as: Grains per spike (GSP) = grains m2 / spikes m2.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000435";"grain/spike";"Numerical";"1.0";"10.0";"300.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001201";"GrnSpl_Calc_GrnSpl";"GRNSPL, grains/spikelet, GRNSPL_num";"Research-intensive characterization";"After physiological maturity (DS87)";"";"BMS_23059";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000041";"Grain number per spikelet";"Agronomical traits";"Number of grains per spikelet.";"Kernel number per spikelet";"GrnSpl";"";"Spikelet";"Grain number";"";"";"CO_321:0000261";"GrnSpl Computation";"Computation";"Sample as for spikelets per spike randomly select 5-10 spikes per plot, by selecting at the base of the culm. Count the spikelets, thresh, count grains, and calculate, or less accurately simply calculate from calculated grains per spike and measured spikelet number.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000436";"grain/spikelet";"Numerical";"1.0";"1.0";"30.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001213";"GW_M_g1000grn";"TGW, TKW, THOUWT, TGW_g";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_22683";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000025";"Grain weight";"Agronomical traits";"Grain weight usually expressed as weight of single, one hundred, two hundred or thousand grains.";"kernel weight";"GW";"GrnWt, GrnW, KW, KrnWt";"Grain";"Weight";"";"";"CO_321:0000246";"GW Measurement";"Measurement";"Dry grains at 70oC and weigh.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0001033";"g/1000 grain";"Numerical";"1.0";"20.0";"70.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001218";"GY_Calc_kgha";"Yld_kgha, GY_kgha, GRNYLD_kg_ha";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_18000";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000013";"Grain yield";"Agronomical traits";"Amount (weight) of grains that was harvested.";"";"GY";"GrnYld, Yld";"Grain";"Yield";"";"";"CO_321:0001028";"GY Computation";"Computation";"Use formulae to calculate grain yield in g/m2";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000804";"kg/ha";"Numerical";"0.0";"0.0";"20000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001221";"GY_M_gPlot";"PLOTGRNYLD_g";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_22662";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000013";"Grain yield";"Agronomical traits";"Amount (weight) of grains that was harvested.";"";"GY";"GrnYld, Yld";"Grain";"Yield";"";"";"CO_321:0000236";"GY Measurement";"Measurement";"The weight of the grain harvested is registered on a scale, decide which method suit better for your objectives. In breeding trials, a sample area (rather than the whole plot) is generally used for estimating yield. Discard borders when combine harvest for a better estimation of yield.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000412";"g/plot";"Numerical";"1.0";"0.0";"12000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001226";"GZinc_M_ppm";"GRNZINC_ppm";"Trial evaluation";"After harvest (From DS87)";"Obsolete";"BMS_29089";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000224";"Grain Zinc content";"Quality traits";"Content of zinc in grain.";"";"GZinc";"GRNZINC";"Grain";"Zinc content";"";"";"CO_321:0000404";"GZinc Measurement";"Measurement";"Standard method for grain zinc content.";"";"";"CO_321:0000425";"ppm";"Numerical";"1.0";"1.0";"15.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001409";"TSpl_dto_day";"DTTS_days, DTTS";"Research-intensive characterization";"DS25-DS30 approx.";"";"BMS_29042";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000940";"Terminal spikelet time";"Phenological traits";"Terminal spikelet time is when the last spikelet, the terminal spikelet, has been produced.";"";"TSpl";"TS";"Plant";"Terminal spikelet time";"";"";"CO_321:0000380";"TSpl DT Computation";"Computation";"Number of days from sowing to terminal spikelet (DS25-30 approx.). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Kirby and Appleyard, 1984";"CO_321:0000434";"day";"Duration";"0";"40";"240";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001606";"TTA_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001492";"Anthesis thermal time";"Phenological traits";"Thermal Time from emergence to Anthesis (GS65).";"";"TTA";"";"Plant";"Anthesis thermal time";"";"";"CO_321:0001541";"TTA Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until anthesis (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1";"0";"2000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001604";"TTB_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001490";"Booting thermal time";"Phenological traits";"Thermal Time from emergence to Booting (GS45).";"";"TTB";"";"Plant";"Booting thermal time";"";"";"CO_321:0001539";"TTB Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until booting (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1";"0";"2000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001605";"TTH_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001491";"Heading thermal time";"Phenological traits";"Thermal Time from emergence to Heading (GS55).";"";"TTH";"";"Plant";"Heading thermal time";"";"";"CO_321:0001540";"TTH Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until emergence (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1";"0";"2000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001603";"TTIB_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001489";"Booting initiation thermal time";"Phenological traits";"Thermal Time from emergence to Initiation of Booting (GS41).";"";"TTIB";"";"Plant";"Initiation of Booting thermal time";"";"";"CO_321:0001538";"TTIB Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until initiation of booting (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1";"0";"2000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001607";"TTM_calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001493";"Physiological maturity thermal time";"Phenological traits";"Thermal Time from emergence to Physiological Maturity (GS87).";"";"TTM";"";"Plant";"Physiological maturity thermal time";"";"";"CO_321:0001542";"TTM Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until physiological maturity (thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1";"0";"2000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001415";"TtritInc_E_pct";"TTRIT _pct__INC";"Nursery/Trial evaluation";"From DS85";"";"BMS_29198";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000100";"Tilletia tritici bunt incidence";"Biotic stress traits";"Bunt incidence in the plants caused by the agent Tilletia tritici (stinking bunt, covered smut, hill bunt, complete bunt, low bunt, high bunt).";"";"TtritInc";"TTRIT, CB";"Spike";"Tilletia tritici bunt incidence";"";"";"CO_321:0000318";"TtritInc Estimation";"Estimation";"Tilletia tritici incidence is usually expressed as the percentage of bunted spikes within a row.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001602";"TTTS_Calc_Cday";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla";"22/07/2016";"EN";"Wheat";"CO_321:0001488";"Terminal spikelet thermal time";"Phenological traits";"Thermal Time from emergence to Terminal Spikelet (GS30).";"";"TTTS";"";"Plant";"Terminal spikelet thermal time";"";"";"CO_321:0001537";"TTTS Computation";"Computation";"Calculated with climatic data where degree days are accumulating since emergence until terminal spikelet(thermal time from da1+day2+day3...). To calculate daily thermal time= (Temperature max + Temperature min)/2.";"";"";"CO_321:0001587";"°C day";"Numerical";"1";"0";"2000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001129";"UagroResp_E_1to8";"UAGRO_1_8__RESP";"Nursery/Trial evaluation";"From booting (DS45)";"";"BMS_29199";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000103";"Flag smut plant response";"Biotic stress traits";"Flag smut disease response in the plants caused by the agent Urocystic agropyri causing flag smut disease.";"";"UagroResp";"UAGRO";"Plant";"Flag smut plant response";"";"";"CO_321:0000321";"UagroResp Estimation";"Estimation";"Standard method for flag smut field response.";"";"Wilcoxson and Saari, 1996";"CO_321:0000471";"1-8 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content.";"";"";"CO_321:0000425";"ppm";"Numerical";"1";"1";"15";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001203";"GPhos_M_ppm";"GRNPHOS_ppm";"Trial evaluation";"After harvest (From DS87)";"Obsolete";"BMS_29083";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000223";"Grain phosphorous content";"Quality traits";"Content of phosphorus in grain.";"";"GPhos";"GRNPHOS";"Grain";"Phosphorous content";"";"";"CO_321:0000403";"GPhos Measurement";"Measurement";"Standard method for grain phosphorus content.";"";"";"CO_321:0000425";"ppm";"Numerical";"1";"1";"15";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001200";"GrnSpk_Calc_GrnSpk";"GRNSPK, grains/spike, GRNSPK_num";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_22908";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000038";"Grain number per spike";"Agronomical traits";"Number of grains per spike.";"Kernel number per spike, grains per spike";"GrnSpk";"GRNSPK";"Spike";"Grain number";"";"";"CO_321:0000258";"GrnSpk Computation";"Computation";"The number of grains per spike can be measured independently by threshing a known number of randomly selected spikes per plot (10-20 spikes per plot) or can be calculated as: 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Count the spikelets, thresh, count grains, and calculate, or less accurately simply calculate from calculated grains per spike and measured spikelet number.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000436";"grain/spikelet";"Numerical";"1";"1";"30";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001213";"GW_M_g1000grn";"TGW, TKW, THOUWT, TGW_g";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_22683";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000025";"Grain weight";"Agronomical traits";"Grain weight usually expressed as weight of single, one hundred, two hundred or thousand grains.";"kernel weight";"GW";"GrnWt, GrnW, KW, KrnWt";"Grain";"Weight";"";"";"CO_321:0000246";"GW Measurement";"Measurement";"Dry grains at 70oC and weigh.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0001033";"g/1000 grain";"Numerical";"1";"20";"70";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001218";"GY_Calc_kgha";"Yld_kgha, GY_kgha, GRNYLD_kg_ha";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_18000";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000013";"Grain yield";"Agronomical traits";"Amount (weight) of grains that was harvested.";"";"GY";"GrnYld, Yld";"Grain";"Yield";"";"";"CO_321:0001028";"GY Computation";"Computation";"Use formulae to calculate grain yield in g/m2";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000804";"kg/ha";"Numerical";"0";"0";"20000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001221";"GY_M_gPlot";"PLOTGRNYLD_g";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_22662";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000013";"Grain yield";"Agronomical traits";"Amount (weight) of grains that was harvested.";"";"GY";"GrnYld, Yld";"Grain";"Yield";"";"";"CO_321:0000236";"GY Measurement";"Measurement";"The weight of the grain harvested is registered on a scale, decide which method suit better for your objectives. In breeding trials, a sample area (rather than the whole plot) is generally used for estimating yield. 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However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0.0";"40.0";"240.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001231";"HI_Calc_Idx";"HI_index";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_18120";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000123";"Harvest index";"Agronomical traits";"A ratio of grain yield to total above ground biomass.";"Biomass partitioning to grain";"HI";"";"Plant";"Biomass partitioning to grain";"";"";"CO_321:0001030";"HI Computation";"Computation";"Harvest index is expressed in percentage and can be calculated as Harvest index (%) = (Grain yield/Biomass)*100.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001595";"InfertSpkN_Ct_SplSpk";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT, T3";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0001484";"Infertile spike number";"Agronomical traits";"Number of infertile spikelet per spike.";"";"InfertSpkN";"InflSPKLSP";"Spike";"Number";"";"";"CO_321:0001530";"InfertSpkN Counting";"Counting";"The number of infertile spikelets (i.e., those NOT containing grain) per spike should be counted towards the end of grain-filling, but before physiological maturity (to avoid losses due to movement through the plots). Randomly sample 5-10 spikes per plot, by selecting at the base of the culm. Count the total number of spikelets (pair-by-pair, from the base to the tip), then obtain the average.";"";"";"CO_321:0000440";"spikelet/spike";"Numerical";"1.0";"1.0";"50.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001136";"FlrProt_Kjl_pct";"FLRPROT_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23230";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000067";"Flour protein content";"Quality traits";"Total protein content (corrected to 12.5% moisture basis) in refined flour.";"";"FlrProt";"FlrPro";"Flour";"Protein content";"";"";"CO_321:0000289";"Kjeldahl AACC 56-81B";"Measurement";"Kjeldahl AACC 56-81B.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001205";"GProt_Kjl_pct";"GRNPROT_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_22885";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000073";"Grain protein content";"Quality traits";"Content of protein (corrected to 12.5% moisture basis) in the whole wheat grain samples.";"";"GProt";"GRNPROT, GRNPRO";"Grain";"Protein content";"";"";"CO_321:0000289";"Kjeldahl AACC 56-81B";"Measurement";"Kjeldahl AACC 56-81B.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001280";"Lodg_E_pct";"LODG_pct";"Trial evaluation";"After the event";"";"BMS_18060";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000167";"Lodging incidence";"Agronomical traits";"Indicates incidence of lodged plants.";"";"Lodg";"LOD";"Plant";"Lodging incidence";"";"";"CO_321:0000355";"Lodg Estimation";"Estimation";"Estimate of the area lodged in the sampled plot.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001282";"Lodg_E_0to9pct";"LODG_0_9";"Trial evaluation";"After the event";"";"BMS_29117";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000167";"Lodging incidence";"Agronomical traits";"Indicates incidence of lodged plants.";"";"Lodg";"LOD";"Plant";"Lodging incidence";"";"";"CO_321:0000355";"Lodg Estimation";"Estimation";"Estimate of the area lodged in the sampled plot.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000446";"0-9 percentage scale";"Ordinal";"1.0";"";"";"";"0= No visible affection";"3= 30% coverage";"4= 40% coverage";"1= 10% coverage";"2= 20% coverage";"7= 70% coverage";"8= 80% coverage";"5= 50% coverage";"6= 60% coverage";"9= 90% coverage";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001235";"Hd_dto_day";"DTH_days, DTH, HEAD, DAYSHD";"Nursery/Trial evaluation";"Heading (spike emergence)(DS55)";"";"BMS_22898";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000007";"Heading time";"Phenological traits";"Heading time extends from the time of emergence of the tip of the spike from the flag leaf sheath to when the spike has completely emerged but has not yet started to flower.";"";"Hd";"Head, Heading, H";"Plant";"Heading time";"";"";"CO_321:0000231";"Hd DS55 days Computation";"Computation";"Number of days required from sowing to spike emergence from the flag leaf (DS55). However, when planting in dry soils in dryland areas it is counted from the first day of rainfall or irrigation which is sufficient for germination, or from emergence date.";"xxxx";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000434";"day";"Duration";"0";"40";"240";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001231";"HI_Calc_Idx";"HI_index";"Trial evaluation";"After physiological maturity (DS87)";"";"BMS_18120";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000123";"Harvest index";"Agronomical traits";"A ratio of grain yield to total above ground biomass.";"Biomass partitioning to grain";"HI";"";"Plant";"Biomass partitioning to grain";"";"";"CO_321:0001030";"HI Computation";"Computation";"Harvest index is expressed in percentage and can be calculated as Harvest index (%) = (Grain yield/Biomass)*100.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000421";"index";"Numerical";"0";"0";"1000";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001595";"InfertSpkN_Ct_SplSpk";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT, T3";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0001484";"Infertile spike number";"Agronomical traits";"Number of infertile spikelet per spike.";"";"InfertSpkN";"InflSPKLSP";"Spike";"Number";"";"";"CO_321:0001530";"InfertSpkN Counting";"Counting";"The number of infertile spikelets (i.e., those NOT containing grain) per spike should be counted towards the end of grain-filling, but before physiological maturity (to avoid losses due to movement through the plots). Randomly sample 5-10 spikes per plot, by selecting at the base of the culm. Count the total number of spikelets (pair-by-pair, from the base to the tip), then obtain the average.";"";"";"CO_321:0000440";"spikelet/spike";"Numerical";"1";"1";"50";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001136";"FlrProt_Kjl_pct";"FLRPROT_Kjl_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_23230";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000067";"Flour protein content";"Quality traits";"Total protein content (corrected to 12.5% moisture basis) in refined flour.";"";"FlrProt";"FlrPro";"Flour";"Protein content";"";"";"CO_321:0000289";"Kjeldahl AACC 56-81B";"Measurement";"Kjeldahl AACC 56-81B.";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001205";"GProt_Kjl_pct";"GRNPROT_Kjl_pct";"Trial evaluation";"After harvest (From DS87)";"";"BMS_22885";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000073";"Grain protein content";"Quality traits";"Content of protein (corrected to 12.5% moisture basis) in the whole wheat grain samples.";"";"GProt";"GRNPROT, GRNPRO";"Grain";"Protein content";"";"";"CO_321:0000289";"Kjeldahl AACC 56-81B";"Measurement";"Kjeldahl AACC 56-81B.";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001280";"Lodg_E_pct";"LODG_pct";"Trial evaluation";"After the event";"";"BMS_18060";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000167";"Lodging incidence";"Agronomical traits";"Indicates incidence of lodged plants.";"";"Lodg";"LOD";"Plant";"Lodging incidence";"";"";"CO_321:0000355";"Lodg Estimation";"Estimation";"Estimate of the area lodged in the sampled plot.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001282";"Lodg_E_0to9pct";"LODG_0_9";"Trial evaluation";"After the event";"";"BMS_29117";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000167";"Lodging incidence";"Agronomical traits";"Indicates incidence of lodged plants.";"";"Lodg";"LOD";"Plant";"Lodging incidence";"";"";"CO_321:0000355";"Lodg Estimation";"Estimation";"Estimate of the area lodged in the sampled plot.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000446";"0-9 percentage scale";"Ordinal";"1";"";"";"";"0= No visible affection";"1= 10% coverage";"2= 20% coverage";"3= 30% coverage";"4= 40% coverage";"5= 50% coverage";"6= 60% coverage";"7= 70% coverage";"8= 80% coverage";"9= 90% coverage";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0001288";"Mat_date_jd";"MATD_jd, MATD, MATDATE";"Nursery/Trial evaluation";"Physiological maturity (DS87 approx.)";"Obsolete/legacy";"BMS_22680";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000022";"Maturity time";"Phenological traits";"Maturity time starts at hard dough stage (ds87) often called physiological maturity.";"";"Mat";"Mt, M, Maturity";"Plant";"Maturity time";"";"";"CO_321:0000842";"Mat DS87 date Estimation";"Estimation";"Record date of physiological maturity (approx. DS87). It is estimated as when the grain reaches the maximum dry weight and the grain becomes viable. It is most easily determined in-field when 50% of the peduncles are ripe (i.e., yellow).";"";"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000855";"Julian date (JD)";"Time";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001116";"MixTim_M_min";"MIXTIM_min";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29118";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000149";"Dough Mixograph mixing time";"Quality traits";"Time required for the dough development from beginning of mixing flour and water to the dough reaches maximum consistency (peak).";"";"MixTim";"";"Dough";"Mixograph mixing time";"";"";"CO_321:0000389";"MIXOGRAPH determination AACC 54-40 A";"Estimation";"1. A sample of 35 grams of flour on a 14 percent moisture basis is weighed and placed in a mixograph bowl, 2. Water is added to the flour from a buret and the bowl is inserted into the mixograph, 3. The flour and water are mixed together to form a dough, 4. As the dough is mixed, the mixograph records a curve on graph paper.";"";"";"CO_321:0000426";"min";"Duration";"1.0";"0.4";"8.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001296";"PedLng_M_cm";"PEDLNG _cm";"Research-intensive characterization";"DS61-DS75";"";"BMS_23053";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000052";"Peduncle length";"Morphological traits";"Length of peduncle.";"";"PedLng";"";"Peduncle";"Length";"";"";"CO_321:0000272";"PedLng Measurement";"Measurement";"Standard method for peduncle length.";"";"";"CO_321:0000411";"cm";"Numerical";"1.0";"5.0";"90.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001301";"PH_M_cm";"PH_cm";"Nursery/Trial evaluation";"DS75-DS89";"";"BMS_18020";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000020";"Plant height";"Agronomical traits";"Height of plant from ground to top of spike, excluding awns.";"";"PH";"PlntHt, PHt";"Plant";"Height";"";"";"CO_321:0000241";"PH Measurement";"Measurement";"Measure the length of individual culms from soil surface to the tip of the spike (do not include awn) and record to the nearest centimeter. (Average of 4-10 plants/culms per plot).";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000411";"cm";"Numerical";"1.0";"5.0";"90.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001458";"RachLng_M_mm";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000970";"Rachis length";"Morphological traits";"Length of rachis.";"";"RachLng";"";"Rachis";"Length";"";"";"CO_321:0000993";"RachLng Measurement";"Measurement";"Standard method for rachis length.";"";"";"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001101";"RootRot_E_0to9pct";"ROOTROT_0_9";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_29160";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000649";"Common root rot incidence";"Biotic stress traits";"Common root rot incidence in the plants caused by the agents Cochliobolus sativus, fusarium spp., and Pythium species.";"";"RootRot";"";"Plant";"Common root rot incidence";"";"";"CO_321:0000695";"RootRot Estimation";"Estimation";"Standard method for common root rot incidence.";"";"";"CO_321:0000446";"0-9 percentage scale";"Ordinal";"1.0";"";"";"";"0= No visible affection";"3= 30% coverage";"4= 40% coverage";"1= 10% coverage";"2= 20% coverage";"7= 70% coverage";"8= 80% coverage";"5= 50% coverage";"6= 60% coverage";"9= 90% coverage";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001379";"PgramCI_Calc_pct";"PGRAM_pct__CI";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22756";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000688";"Stem rust coefficient of infection";"Biotic stress traits";"Stem rust (black rust) incidence/severity/response in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust CI, Stem rust";"PgramCI";"";"Plant";"Stem rust coefficient of infection";"";"";"CO_321:0001026";"Rust Coefficient of infection Computation";"Computation";"Coefficient of infection (CI) calculated by multiplying the severity times a constant for host response: where immune = 0.0, R=0.2, MR =0.4, MS =0.8, and S=1.0.";"xxxx";"Roelfs et al., 1992";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001270";"PrecoSev_E_pct";"PRECO_pct__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22760";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000902";"Leaf rust severity";"Biotic stress traits";"Leaf rust (brown rust) severity in the plants caused by the agent Puccinia recondita.";"";"PrecoSev";"BwRustSev, LRSev";"Leaf";"Leaf rust severity";"";"";"CO_321:0000693";"Rust severity Estimation";"Estimation";"Severity of rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001383";"PgramSev_E_pct";"PGRAM_pct__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29133";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000905";"Stem rust severity";"Biotic stress traits";"Stem rust (black rust) severity in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramSev";"PGRAM";"Plant";"Stem rust severity";"";"";"CO_321:0000693";"Rust severity Estimation";"Estimation";"Severity of rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001396";"PstriSev_E_pct";"PSTRI_pct__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29148";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000908";"Stripe rust severity";"Biotic stress traits";"Stripe rust (yellow rust) severity in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSev";"YRustSev, YRSev, PSTRIL";"Leaf";"Stripe rust severity";"";"";"CO_321:0000693";"Rust severity Estimation";"Estimation";"Severity of rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001138";"FlrSDS_M_ml";"FLRSDS_ml";"Trial evaluation";"After harvest (From DS87)";"";"BMS_22880";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000146";"Flour SDS sedimentation";"Quality traits";"Testing of refined flour quality by sds-sedimentation, a test estimating gluten-protein overall quality.";"FLRSDS";"FlrSDS";"";"Flour";"SDS sedimentation volume";"";"";"CO_321:0000386";"SDS-sedimentation determination";"Measurement";"A small sample of flour or ground wheat (1.0 grams) is weighed and placed in 25-milliliter glass-stoppered graduated cylinder. This is mixed with different solutions for some minutes and then rested. Finally, the volume of the sediment is recorded after 21 minutes.";"";"";"CO_321:0000427";"ml";"Numerical";"1.0";"4.0";"25.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001445";"SepSpSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000714";"Septoria blotch severity";"Biotic stress traits";"Septoria blotch severity in the plants caused by the agent Septoria species.";"";"SepSpSev";"";"Leaf";"Septoria blotch severity";"";"";"CO_321:0000879";"SepSpSev Estimation";"Estimation";"Standard method for Septoria species causing Septoria blotch severity.";"";"Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001367";"Shattering_E_pct";"SHATTERING_pct";"Nursery/Trial evaluation";"From DS91";"";"BMS_29169";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000057";"Spike shattering";"Agronomical traits";"Observation of grains dehiscence from spike at maturity.";"";"Shattering";"Rachis brittleness";"Spike";"Shattering";"";"";"CO_321:0000278";"Shattering Estimation";"Estimation";"Standard method for spike shattering.";"";"";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001599";"SN_Calc_Spksm2";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT, T3";"Gemma Molero, Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000166";"Spike number";"Agronomical traits";"Number of spikes (fertile culms) per unit area, sample or plant.";"Ear number";"SN";"SNO, SpkNO, SpkNo";"Spike";"Number";"";"";"CO_321:0001534";"SN Computation";"Computation";"Calculated from biomass seven days after anthesis (7DAA) sampling.";"";"";"CO_321:0000441";"spike/m2";"Numerical";"0.0";"0.0";"1000.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001647";"SpkGW_M_g";"";"Nursery/Trial evaluation";"After physiological maturity (DS87)";"";"";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0001526";"Grain weight per spike";"Agronomical traits";"Grain weight per spike.";"";"SpkGW";"";"Spike";"Grain weight";"";"";"CO_321:0001582";"SpkGW Measurement";"Measurement";"Dry grains at 70oC and weigh.";"";"";"CO_321:0001593";"g";"Numerical";"1.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001364";"SpkLng_M_cm";"SPKLNG_cm";"Research-intensive characterization";"DS75-DS89";"";"BMS_23057";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000056";"Spike length";"Morphological traits";"Length of spike.";"";"SpkLng";"";"Spike";"Length";"";"";"CO_321:0000277";"SpkLng Measurement";"Measurement";"Measured in centimeters from the base of the spike to the tip excluding the awns (average of 6-10 random spikes in plot).";"";"";"CO_321:0000411";"cm";"Numerical";"1.0";"5.0";"90.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001369";"SplN_Ct_SplSpk";"SPLSPK_num, SPLSPK, spikelets/spike";"Research-intensive characterization";"DS75-DS89";"";"BMS_23058";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000058";"Spikelet number";"Agronomical traits";"Number of spikelets per spike.";"";"SplN";"SplNo";"Spikelet";"Number";"";"";"CO_321:0000279";"SplN Counting";"Counting";"Both the total number of spikelets and the number of fertile spikelets (i.e., those containing grain) per spike should be counted towards the end of grain-filling, but before physiological maturity (to avoid losses due to movement through the plots). Randomly sample 5-10 spikes per plot, by selecting at the base of the culm. Count the total number of spikelets (pair-by-pair, from the base to the tip), then obtain the average. When sampling large numbers of samples or plots, time may be saved by randomly counting one side of the spike and multiplying by two.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000440";"spikelet/spike";"Numerical";"1.0";"1.0";"50.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001376";"SproutTol_E_1to9";"SPROUTTOL _1_9";"Nursery/Trial evaluation";"DS85-DS99";"";"BMS_22920";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000081";"Sprouting tolerance";"Abiotic stress traits";"Tolerance of grain to sprout when in the spike.";"Pre-harvest sprouting tolerance";"SproutTol";"";"Grain";"Sprouting tolerance";"";"";"CO_321:0000303";"SproutTol Estimation";"Estimation";"Observe the tendency of grain to sprout when in the spike and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 12)";"CO_321:0000468";"1-9 TOL scale";"Ordinal";"1.0";"";"";"";"1= highly susceptible";"4= susceptible to moderately susceptible";"5= moderately susceptible";"2= highly susceptible to susceptible";"3= susceptible";"8= tolerant";"9= highly tolerant";"6= moderately susceptible to moderately tolerant";"7= moderately tolerant";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001121";"TcontInc_E_pct";"TCONT_pct";"Nursery/Trial evaluation";"From DS85";"";"BMS_29189";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000101";"Dwarf bunt incidence";"Biotic stress traits";"Dwarf bunt incidence in the plants caused by the agent Tilletia controversa.";"";"TcontInc";"TCONT";"Spike";"Dwarf bunt incidence";"";"";"CO_321:0000319";"TcontInc Estimation";"Estimation";"Standard method for dwarf bunt incidence.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001100";"TilSpSpkInc_E_pct";"TILSP_pct";"Nursery/Trial evaluation";"From DS85";"";"BMS_23228";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000281";"Common bunt spike incidence";"Biotic stress traits";"Common bunt (stinking bunt, covered smut, hill bunt, complete bunt, low bunt, high bunt) incidence in the plants caused by the agent Tilletia species.";"";"TilSpSpkInc";"CBSpkInc, TILSP, CB";"Spike";"Common bunt spike incidence";"";"";"CO_321:0000363";"TilSpSpkInc Estimation";"Estimation";"Common bunt incidence is usually expressed as the percentage of bunted spikes within a row.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0001425";"WKill_E_pct";"WKILL_pct";"Nursery/Trial evaluation";"After the event";"";"BMS_23072";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000164";"Winter kill damage";"Abiotic stress traits";"Plants killed as a result of winter conditions.";"Winter susceptibility";"WKill";"";"Plant";"Winter kill damage";"";"";"CO_321:0000352";"WKill Estimation";"Estimation";"Observe winterkill of plants per plot and rate it.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001116";"MixTim_M_min";"MIXTIM_min";"Trial evaluation";"After harvest (From DS87)";"";"BMS_29118";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000149";"Dough Mixograph mixing time";"Quality traits";"Time required for the dough development from beginning of mixing flour and water to the dough reaches maximum consistency (peak).";"";"MixTim";"";"Dough";"Mixograph mixing time";"";"";"CO_321:0000389";"MIXOGRAPH determination AACC 54-40 A";"Estimation";"1. A sample of 35 grams of flour on a 14 percent moisture basis is weighed and placed in a mixograph bowl, 2. Water is added to the flour from a buret and the bowl is inserted into the mixograph, 3. The flour and water are mixed together to form a dough, 4. As the dough is mixed, the mixograph records a curve on graph paper.";"";"";"CO_321:0000426";"min";"Duration";"1";0.4;"8";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001296";"PedLng_M_cm";"PEDLNG _cm";"Research-intensive characterization";"DS61-DS75";"";"BMS_23053";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000052";"Peduncle length";"Morphological traits";"Length of peduncle.";"";"PedLng";"";"Peduncle";"Length";"";"";"CO_321:0000272";"PedLng Measurement";"Measurement";"Standard method for peduncle length.";"";"";"CO_321:0000411";"cm";"Numerical";"1";"5";"90";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001301";"PH_M_cm";"PH_cm";"Nursery/Trial evaluation";"DS75-DS89";"";"BMS_18020";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000020";"Plant height";"Agronomical traits";"Height of plant from ground to top of spike, excluding awns.";"";"PH";"PlntHt, PHt";"Plant";"Height";"";"";"CO_321:0000241";"PH Measurement";"Measurement";"Measure the length of individual culms from soil surface to the tip of the spike (do not include awn) and record to the nearest centimeter. (Average of 4-10 plants/culms per plot).";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000411";"cm";"Numerical";"1";"5";"90";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001458";"RachLng_M_mm";"";"Nursery/Trial evaluation";"";"";"";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000970";"Rachis length";"Morphological traits";"Length of rachis.";"";"RachLng";"";"Rachis";"Length";"";"";"CO_321:0000993";"RachLng Measurement";"Measurement";"Standard method for rachis length.";"";"";"CO_321:0000428";"mm";"Numerical";"1";"2";"40";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001101";"RootRot_E_0to9pct";"ROOTROT_0_9";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"";"BMS_29160";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000649";"Common root rot incidence";"Biotic stress traits";"Common root rot incidence in the plants caused by the agents Cochliobolus sativus, fusarium spp., and Pythium species.";"";"RootRot";"";"Plant";"Common root rot incidence";"";"";"CO_321:0000695";"RootRot Estimation";"Estimation";"Standard method for common root rot incidence.";"";"";"CO_321:0000446";"0-9 percentage scale";"Ordinal";"1";"";"";"";"0= No visible affection";"1= 10% coverage";"2= 20% coverage";"3= 30% coverage";"4= 40% coverage";"5= 50% coverage";"6= 60% coverage";"7= 70% coverage";"8= 80% coverage";"9= 90% coverage";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001379";"PgramCI_Calc_pct";"PGRAM_pct__CI";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22756";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000688";"Stem rust coefficient of infection";"Biotic stress traits";"Stem rust (black rust) incidence/severity/response in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust CI, Stem rust";"PgramCI";"";"Plant";"Stem rust coefficient of infection";"";"";"CO_321:0001026";"Rust Coefficient of infection Computation";"Computation";"Coefficient of infection (CI) calculated by multiplying the severity times a constant for host response: where immune = 0.0, R=0.2, MR =0.4, MS =0.8, and S=1.0.";"xxxx";"Roelfs et al., 1992";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001270";"PrecoSev_E_pct";"PRECO_pct__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_22760";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000902";"Leaf rust severity";"Biotic stress traits";"Leaf rust (brown rust) severity in the plants caused by the agent Puccinia recondita.";"";"PrecoSev";"BwRustSev, LRSev";"Leaf";"Leaf rust severity";"";"";"CO_321:0000693";"Rust severity Estimation";"Estimation";"Severity of rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001383";"PgramSev_E_pct";"PGRAM_pct__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29133";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000905";"Stem rust severity";"Biotic stress traits";"Stem rust (black rust) severity in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramSev";"PGRAM";"Plant";"Stem rust severity";"";"";"CO_321:0000693";"Rust severity Estimation";"Estimation";"Severity of rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001396";"PstriSev_E_pct";"PSTRI_pct__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"";"BMS_29148";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000908";"Stripe rust severity";"Biotic stress traits";"Stripe rust (yellow rust) severity in the plants caused by the agent Puccinia striiformis f.sp. tritici.";"Stripe rust";"PstriSev";"YRustSev, YRSev, PSTRIL";"Leaf";"Stripe rust severity";"";"";"CO_321:0000693";"Rust severity Estimation";"Estimation";"Severity of rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. Thus it is common to use the following intervals: 0, 5, 10, 20, 40, 60, and 100 percent infection.";"";"Peterson et al., 1948, Roelfs et al., 1992, McIntosh et al., 1995";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001138";"FlrSDS_M_ml";"FLRSDS_ml";"Trial evaluation";"After harvest (From DS87)";"";"BMS_22880";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000146";"Flour SDS sedimentation";"Quality traits";"Testing of refined flour quality by sds-sedimentation, a test estimating gluten-protein overall quality.";"FLRSDS";"FlrSDS";"";"Flour";"SDS sedimentation volume";"";"";"CO_321:0000386";"SDS-sedimentation determination";"Measurement";"A small sample of flour or ground wheat (1.0 grams) is weighed and placed in 25-milliliter glass-stoppered graduated cylinder. This is mixed with different solutions for some minutes and then rested. Finally, the volume of the sediment is recorded after 21 minutes.";"";"";"CO_321:0000427";"ml";"Numerical";"1";"4";"25";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001445";"SepSpSev_E_pct";"";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. 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Randomly sample 5-10 spikes per plot, by selecting at the base of the culm. Count the total number of spikelets (pair-by-pair, from the base to the tip), then obtain the average. When sampling large numbers of samples or plots, time may be saved by randomly counting one side of the spike and multiplying by two.";"";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000440";"spikelet/spike";"Numerical";"1";"1";"50";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001376";"SproutTol_E_1to9";"SPROUTTOL _1_9";"Nursery/Trial evaluation";"DS85-DS99";"";"BMS_22920";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000081";"Sprouting tolerance";"Abiotic stress traits";"Tolerance of grain to sprout when in the spike.";"Pre-harvest sprouting tolerance";"SproutTol";"";"Grain";"Sprouting tolerance";"";"";"CO_321:0000303";"SproutTol Estimation";"Estimation";"Observe the tendency of grain to sprout when in the spike and rate the tolerance.";"";"Reynolds et al., 2001 (Ch. 12)";"CO_321:0000468";"1-9 TOL scale";"Ordinal";"1";"";"";"";"1= highly susceptible";"2= highly susceptible to susceptible";"3= susceptible";"4= susceptible to moderately susceptible";"5= moderately susceptible";"6= moderately susceptible to moderately tolerant";"7= moderately tolerant";"8= tolerant";"9= highly tolerant";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001121";"TcontInc_E_pct";"TCONT_pct";"Nursery/Trial evaluation";"From DS85";"";"BMS_29189";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000101";"Dwarf bunt incidence";"Biotic stress traits";"Dwarf bunt incidence in the plants caused by the agent Tilletia controversa.";"";"TcontInc";"TCONT";"Spike";"Dwarf bunt incidence";"";"";"CO_321:0000319";"TcontInc Estimation";"Estimation";"Standard method for dwarf bunt incidence.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001100";"TilSpSpkInc_E_pct";"TILSP_pct";"Nursery/Trial evaluation";"From DS85";"";"BMS_23228";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000281";"Common bunt spike incidence";"Biotic stress traits";"Common bunt (stinking bunt, covered smut, hill bunt, complete bunt, low bunt, high bunt) incidence in the plants caused by the agent Tilletia species.";"";"TilSpSpkInc";"CBSpkInc, TILSP, CB";"Spike";"Common bunt spike incidence";"";"";"CO_321:0000363";"TilSpSpkInc Estimation";"Estimation";"Common bunt incidence is usually expressed as the percentage of bunted spikes within a row.";"";"Wilcoxson and Saari, 1996";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" +"";"CO_321:0001425";"WKill_E_pct";"WKILL_pct";"Nursery/Trial evaluation";"After the event";"";"BMS_23072";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000164";"Winter kill damage";"Abiotic stress traits";"Plants killed as a result of winter conditions.";"Winter susceptibility";"WKill";"";"Plant";"Winter kill damage";"";"";"CO_321:0000352";"WKill Estimation";"Estimation";"Observe winterkill of plants per plot and rate it.";"";"Reynolds et al., 2001 (Ch. 9)";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:1000116";"ST-SDI_score";"Septoria tritici - Seedling Disease Index";"";"";"";"WIPO:0000116";"INRA";"Jacques Le Gouis";"15/06/2016";"EN";"Wheat";"CO_321:1010037";"Septoria tritici - Seedling Disease Index";"Biotic stress";"GREEN, NECROSIS et PYCNIDIA correspondent respectivement au pourcentage de la surface inoculee de la premiere vraie feuille qui est VERTE, NECROSEE, ou SPORULANTE. Les valeurs de chaque parametre sont donc comprises entre 0 et 100% et GREEN+NECROSIS ne peut pas etre superieur a 100%.";"";"";"";"";"";"";"";"CO_321:1020041";" Seedling Disease Index measurement";"Measurement";"";"ST-SDI=[(201-(2*%GREEN)+(1*%NECROSIS)+(3*%PYCNIDIA))/60]-[1/60]";"";"CO_321:1030006";"1 to 9 note";"Ordinal";"";"1";"9";"";" 1 = Resistant";"9 = susceptible";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:1000220";"ps";"Test weight";"";"";"";"WIPO:0000220";"INRA";"Arnaud Gauffretau, Francois-Xavier Oury";"21/09/2017";"";"Wheat";"CO_321:0000025";"Grain weight";"Agronomical traits";"Grain weight usually expressed as weight of single, one hundred, two hundred or thousand grains.";"kernel weight";"GW";"GrnWt, GrnW, KW, 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The trait appears post-flowering with a peak at late milk-soft dough stage.";"";"BlkGlmCol";"";"Glume";"Glume color";"";"";"CO_321:0500208";"Pseudo-Black Presence Measurement";"Measurement";"Scoring of pseudo-black chaff as presence / absence (1/0)";"";"";"CO_321:0500502";"0-1 Absence/Presence";"Ordinal";"1";"0";"1";"";"0= Absent";"1= Present";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" "";"CO_321:0501109";"PgramInc_E_pct";"PGRAM_pct__INC";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500053";"Stem rust incidence";"Biotic stress traits";"Stem rust (black rust) incidence in the plants caused by the agenct Puccinia graminis f.sp. tritici.";"";"PgramInc";"";"Plant";"Stem rust incidence";"";"";"CO_321:0500209";"Rust Incidence Estimation";"Estimation";"Estimation of stem rust incidence";"";"";"CO_321:0000410";"%";"Numerical";"1";"0";"100";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501116";"PgramResp_E_0to1";"PGRAM_0_1__RESP";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000177";"Stem rust plant response";"Biotic stress traits";"Stem rust (black rust) response in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramResp";"PGRAM";"Plant";"Stem rust plant response";"";"";"CO_321:0500210";"Rust Infection Response Estimation - Final";"Estimation";"A qualitative anaylsis of the type of stem rust (Puccinia graminis f. sp. 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Stem rust infection response is typically recorded in conjunction with stem rust severity.";"";"";"CO_321:0500504";"0-1 Rating";"Numerical";"1";"0";"1";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501110";"PgramInf_BCCBC_E_0to9";"PGRAM_BCCBC_0_9__INF";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500054";"Stem rust infection type";"Biotic stress traits";"Stem rust (black rust) infection type exhibited by seedlings inoculated during greenhouse trials.";"";"PgramInf";"";"Plant";"Stem rust infection type";"";"";"CO_321:0500212";"Rust Infection Type BCCBC Estimation";"Estimation";"A qualitative analysis of the type of disease symptoms exhibited by seedlings inoculated with stem rust (Puccinia graminis f. sp. tritici) race BCCBC during greenhouse trials. The original ratings, made using the scale from Stakman et al. (1962), were converted to a 0-9 linear disease scale for analysis: 0, 1-, 1, 1+, 2-, 2 2+, 3-, 3, 3+ were coded as 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, respectively (Zhang et al, 2014).";"";"Zhang et al, 2014";"CO_321:0500514";"0-9 Stakman Scale Rating";"Ordinal";"1";"0";"9";"";"0= 0";"1= 1-";"2= 1";"3= 1+";"4= 2-";"5= 2";"6= 2+";"7= 3-";"8= 3";"9= 3+";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501111";"PgramInf_FIELD_E_0to9";"PGRAM_FIELD_0_9__INF";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500054";"Stem rust infection type";"Biotic stress traits";"Stem rust (black rust) infection type exhibited by seedlings inoculated during greenhouse trials.";"";"PgramInf";"";"Plant";"Stem rust infection type";"";"";"CO_321:0500213";"Rust Infection Type Field Bulk Estimation";"Estimation";"A qualitative analysis of the type of disease symptoms exhibited by seedlings inoculated with stem rust (Puccinia graminis f. sp. tritici) a bulk of stem rust races from the field during greenhouse trials. The original ratings, made using the scale from Stakman et al. (1962), were converted to a 0-9 linear disease scale for analysis: 0, 1-, 1, 1+, 2-, 2 2+, 3-, 3, 3+ were coded as 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, respectively (Zhang et al, 2014).";"";"Zhang et al, 2014";"CO_321:0500514";"0-9 Stakman Scale Rating";"Ordinal";"1";"0";"9";"";"0= 0";"1= 1-";"2= 1";"3= 1+";"4= 2-";"5= 2";"6= 2+";"7= 3-";"8= 3";"9= 3+";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501112";"PgramInf_JRCQC_E_0to9";"PGRAM_JRCQC_0_9__INF";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500054";"Stem rust infection type";"Biotic stress traits";"Stem rust (black rust) infection type exhibited by seedlings inoculated during greenhouse trials.";"";"PgramInf";"";"Plant";"Stem rust infection type";"";"";"CO_321:0500214";"Rust Infection Type JRCQC Estimation";"Estimation";"A qualitative analysis of the type of disease symptoms exhibited by seedlings inoculated with stem rust (Puccinia graminis f. sp. tritici) race JRCQC during greenhouse trials. The original ratings, made using the scale from Stakman et al. (1962), were converted to a 0-9 linear disease scale for analysis: 0, 1-, 1, 1+, 2-, 2 2+, 3-, 3, 3+ were coded as 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, respectively (Zhang et al, 2014).";"";"Zhang et al, 2014";"CO_321:0500514";"0-9 Stakman Scale Rating";"Ordinal";"1";"0";"9";"";"0= 0";"1= 1-";"2= 1";"3= 1+";"4= 2-";"5= 2";"6= 2+";"7= 3-";"8= 3";"9= 3+";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501113";"PgramInf_TRTTF_E_0to9";"PGRAM_TRTTF_0_9__INF";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500054";"Stem rust infection type";"Biotic stress traits";"Stem rust (black rust) infection type exhibited by seedlings inoculated during greenhouse trials.";"";"PgramInf";"";"Plant";"Stem rust infection type";"";"";"CO_321:0500215";"Rust Infection Type TRTTF Estimation";"Estimation";"A qualitative analysis of the type of disease symptoms exhibited by seedlings inoculated with stem rust (Puccinia graminis f. sp. tritici) race TRTTF during greenhouse trials. The original ratings, made using the scale from Stakman et al. (1962), were converted to a 0-9 linear disease scale for analysis: 0, 1-, 1, 1+, 2-, 2 2+, 3-, 3, 3+ were coded as 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, respectively (Zhang et al, 2014).";"";"Zhang et al, 2014";"CO_321:0500514";"0-9 Stakman Scale Rating";"Ordinal";"1";"0";"9";"";"0= 0";"1= 1-";"2= 1";"3= 1+";"4= 2-";"5= 2";"6= 2+";"7= 3-";"8= 3";"9= 3+";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501114";"PgramInf_TTKSK_E_0to9";"PGRAM_TTKSK_0_9__INF";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500054";"Stem rust infection type";"Biotic stress traits";"Stem rust (black rust) infection type exhibited by seedlings inoculated during greenhouse trials.";"";"PgramInf";"";"Plant";"Stem rust infection type";"";"";"CO_321:0500216";"Rust Infection Type TTKSK Estimation";"Estimation";"A qualitative analysis of the type of disease symptoms exhibited by seedlings inoculated with stem rust (Puccinia graminis f. sp. tritici) race TTKSK during greenhouse trials. The original ratings, made using the scale from Stakman et al. (1962), were converted to a 0-9 linear disease scale for analysis: 0, 1-, 1, 1+, 2-, 2 2+, 3-, 3, 3+ were coded as 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, respectively (Zhang et al, 2014).";"";"Zhang et al, 2014";"CO_321:0500514";"0-9 Stakman Scale Rating";"Ordinal";"1";"0";"9";"";"0= 0";"1= 1-";"2= 1";"3= 1+";"4= 2-";"5= 2";"6= 2+";"7= 3-";"8= 3";"9= 3+";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501115";"PgramInf_TTTF_E_0to9";"PGRAM_TTTTF_0_9__INF";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500054";"Stem rust infection type";"Biotic stress traits";"Stem rust (black rust) infection type exhibited by seedlings inoculated during greenhouse trials.";"";"PgramInf";"";"Plant";"Stem rust infection type";"";"";"CO_321:0500217";"Rust Infection Type TTTTF Estimation";"Estimation";"A qualitative analysis of the type of disease symptoms exhibited by seedlings inoculated with stem rust (Puccinia graminis f. sp. tritici) race TTTTF during greenhouse trials. The original ratings, made using the scale from Stakman et al. (1962), were converted to a 0-9 linear disease scale for analysis: 0, 1-, 1, 1+, 2-, 2 2+, 3-, 3, 3+ were coded as 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, respectively (Zhang et al, 2014).";"";"Zhang et al, 2014";"CO_321:0500514";"0-9 Stakman Scale Rating";"Ordinal";"1";"0";"9";"";"0= 0";"1= 1-";"2= 1";"3= 1+";"4= 2-";"5= 2";"6= 2+";"7= 3-";"8= 3";"9= 3+";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" -"";"CO_321:0501118";"PgramSev_E_0to9";"PGRAM_0_9__SEV";"Trial evaluation";"";"";"";"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000905";"Stem rust severity";"Biotic stress traits";"Stem rust (black rust) severity in the plants caused by the agent Puccinia graminis f.sp. tritici.";"Stem rust";"PgramSev";"PGRAM";"Plant";"Stem rust severity";"";"";"CO_321:0000693";"Rust severity Estimation";"Estimation";"Severity of rust is recorded as a percentage, according to the modified Cobb scale. As this relies upon observation it cannot be absolutely accurate. 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deviation";"Numerical";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"";"" From a26903459ff1c9062e920ad0c1e786c1843a83a0 Mon Sep 17 00:00:00 2001 From: David Waring Date: Fri, 10 Feb 2023 13:19:39 -0500 Subject: [PATCH 2/3] Add back T3 modifications EXISTING TRAITS NOW USED BY T3: 1038 1068 1161 1168 1183 1198 1199 1228 1263 1457 1468 REMOVED DUPLICATES OF EXISTING VARIABLES: 0501073 0501087 NEW VARIABLES ADDED: 0501157 0501158 0501159 0501160 0501161 0501162 0501163 0501164 0501165 0501166 0501167 0501168 0501169 0501170 0501171 0501172 0501173 0501174 0501175 0501176 0501177 0501178 0501179 0501180 0501181 0501182 0501183 0501184 0501185 0501186 0501187 0501188 --- wheat_TD.csv | 56 ++++++++++++++++++++++++++++++++++++++++------------ 1 file changed, 43 insertions(+), 13 deletions(-) diff --git a/wheat_TD.csv b/wheat_TD.csv index e746e46..a7de2f2 100644 --- a/wheat_TD.csv +++ b/wheat_TD.csv @@ -3,7 +3,7 @@ ;"CO_321:0001035";"BM_Calc_kgha";"BM_kg_ha";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_29022";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000005";"Aboveground biomass at maturity";"Agronomical traits";"All above-ground biomass at maturity.";"Biological yield";"BM";"AGBM, BMMat, BIOMAS";"Plant";"Aboveground biomass at maturity";;;"CO_321:0001027";"BM Computation";"Computation";"Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000804";"kg/ha";"Numerical";"0.0";"0.0";"20000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001036";"BM_Calc_tha";"BM_t_ha";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_18010";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000005";"Aboveground biomass at maturity";"Agronomical traits";"All above-ground biomass at maturity.";"Biological yield";"BM";"AGBM, BMMat, BIOMAS";"Plant";"Aboveground biomass at maturity";;;"CO_321:0001027";"BM Computation";"Computation";"Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000432";"t/ha";"Numerical";"2.0";"0.0";"20.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001037";"BM_M_gPlnt";"BM_g_pl";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_29903";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000005";"Aboveground biomass at maturity";"Agronomical traits";"All above-ground biomass at maturity.";"Biological yield";"BM";"AGBM, BMMat, BIOMAS";"Plant";"Aboveground biomass at maturity";;;"CO_321:0000229";"BM Measurement";"Measurement";"Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.";;"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0001431";"g/plant";"Numerical";"1.0";"0.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001038";"BM_M_gPlot";"BM_g_plot";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_22668";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000005";"Aboveground biomass at maturity";"Agronomical traits";"All above-ground biomass at maturity.";"Biological yield";"BM";"AGBM, BMMat, BIOMAS";"Plant";"Aboveground biomass at maturity";;;"CO_321:0000229";"BM Measurement";"Measurement";"Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.";;"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000412";"g/plot";"Numerical";"1.0";"0.0";"12000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001038";"BM_M_gPlot";"BM_g_plot";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_22668";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"25-oct-15";"EN";"Wheat";"CO_321:0000005";"Aboveground biomass at maturity";"Agronomical traits";"All above-ground biomass at maturity.";"Biological yield";"BM";"AGBM, BMMat, BIOMAS";"Plant";"Aboveground biomass at maturity";;;"CO_321:0000229";"BM Measurement";"Measurement";"Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.";;"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000412";"g/plot";"Numerical";"1.0";"0.0";"12000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001039";"BM_M_kgPlot";"BM_kg_plot";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_22669";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000005";"Aboveground biomass at maturity";"Agronomical traits";"All above-ground biomass at maturity.";"Biological yield";"BM";"AGBM, BMMat, BIOMAS";"Plant";"Aboveground biomass at maturity";;;"CO_321:0000229";"BM Measurement";"Measurement";"Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.";;"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000806";"kg/plot";"Numerical";"3.0";"1.0";"6.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001040";"AcdTol_E_1to5";"ACDTOL _1_5";"Trial evaluation";"DS15-DS65";;"BMS_29004";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000078";"Acid soil tolerance";"Abiotic stress traits";"Plant tolerance to acid soil.";;"AcdTol";;"Plant";"Acid soil tolerance";;;"CO_321:0000299";"AcdTol Estimation";"Estimation";"Observe the growth of plants per plot/entry in a low pH (acid) soil field and rate the tolerance.";;"Reynolds et al., 2001 (Ch. 15)";"CO_321:0000464";"1-5 TOL scale";"Ordinal";"1.0";;;;"1= highly susceptible";"4= tolerant";"5= highly tolerant";"2= susceptible";"3= intermediate";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001041";"AgrScr_E_0to9";"AGRSCR_0_9";"Nursery/Trial evaluation";"Generally DS69-DS81";;"BMS_23052";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000162";"Agronomic score";"Agronomical traits";"Rating of overall agronomic attributes and health of plants.";"Phenotypic acceptability";"AgrScr";"AGRSCR";"Plant";"Phenotypic acceptability";;;"CO_321:0000351";"AgrScr Estimation";"Estimation";"For agronomic score observe visually detectable signs of factors limiting yields and rate.";;;"CO_321:0000885";"0-9 scoring scale";"Ordinal";"1.0";;;;"0= very poor (VP)";"3= poor to fair (P-F)";"4= fair (F)";"1= very poor to poor (VP-P)";"2= poor (P)";"7= good to very good (G-VG)";"8= very good (VG)";"5= fair to good (F-G)";"6= good (G)";"9= excellent (E)";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -33,7 +33,7 @@ ;"CO_321:0001065";"RsecaSev_E_00to99";"RSECA_00_99__SEV";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_22811";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000710";"Barley scald severity";"Biotic stress traits";"Barley scald severity in the plants caused by the agent Rhynchosporium secalis.";;"RsecaSev";"RSECA";"Plant";"Barley scald severity";;;"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";;"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";;;;"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" ;"CO_321:0001066";"BSMV_E_0to9pct";"BSMV_0_9";"Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";;"BMS_29025";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000095";"Barley stripe mosaic incidence";"Biotic stress traits";"Barley stripe mosaic incidence in the plants caused by barley stripe mosaic virus.";;"BSMV";;"Plant";"Barley stripe mosaic incidence";;;"CO_321:0000315";"BSMV Estimation";"Estimation";"Standard method for barley stripe mosaic virus incidence.";;"Duveiller et al., 2012";"CO_321:0000446";"0-9 percentage scale";"Ordinal";"1.0";;;;"0= No visible affection";"3= 30% coverage";"4= 40% coverage";"1= 10% coverage";"2= 20% coverage";"7= 70% coverage";"8= 80% coverage";"5= 50% coverage";"6= 60% coverage";"9= 90% coverage";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001067";"BYDInc_E_0to9pcttext";"BYD_0_9text";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";"Obsolete/legacy";"BMS_22848";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000096";"Barley yellow dwarf incidence";"Biotic stress traits";"Wheat yellow dwarf incidence in the plants caused by the agent wheat yellow dwarf virus.";;"BYDInc";"BYDV";"Plant";"Barley yellow dwarf incidence";;;"CO_321:0000316";"BYDInc Estimation";"Estimation";"Standard method for barley yellow dwarf incidence.";;"Duveiller et al., 2012";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001068";"BYDInc_E_pct";"BYD_pct";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";;"BMS_22849";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000096";"Barley yellow dwarf incidence";"Biotic stress traits";"Wheat yellow dwarf incidence in the plants caused by the agent wheat yellow dwarf virus.";;"BYDInc";"BYDV";"Plant";"Barley yellow dwarf incidence";;;"CO_321:0000316";"BYDInc Estimation";"Estimation";"Standard method for barley yellow dwarf incidence.";;"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001068";"BYDInc_E_pct";"BYD_pct";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";;"BMS_22849";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"25-oct-15";"EN";"Wheat";"CO_321:0000096";"Barley yellow dwarf incidence";"Biotic stress traits";"Wheat yellow dwarf incidence in the plants caused by the agent wheat yellow dwarf virus.";;"BYDInc";"BYDV";"Plant";"Barley yellow dwarf incidence";;;"CO_321:0000316";"BYDInc Estimation";"Estimation";"Standard method for barley yellow dwarf incidence.";;"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001069";"BYDInc_E_0to9pct";"BYD_0_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";;"BMS_22847";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000096";"Barley yellow dwarf incidence";"Biotic stress traits";"Wheat yellow dwarf incidence in the plants caused by the agent wheat yellow dwarf virus.";;"BYDInc";"BYDV";"Plant";"Barley yellow dwarf incidence";;;"CO_321:0000316";"BYDInc Estimation";"Estimation";"Standard method for barley yellow dwarf incidence.";;"Duveiller et al., 2012";"CO_321:0000446";"0-9 percentage scale";"Ordinal";"1.0";;;;"0= No visible affection";"3= 30% coverage";"4= 40% coverage";"1= 10% coverage";"2= 20% coverage";"7= 70% coverage";"8= 80% coverage";"5= 50% coverage";"6= 60% coverage";"9= 90% coverage";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001070";"BirdDmg_E_pct";"BIRDDMG_pct";"Trial evaluation";"After the event";;"BMS_22921";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000087";"Bird damage";"Biotic stress traits";"The plant damage caused by birds.";;"BirdDmg";"DmgBird, BIRDDMG, DMGBIR";"Plant";"Bird damage";;;"CO_321:0000308";"BirdDmg Estimation";"Estimation";"Standard method for bird damage.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001071";"BirdDmg_E_1to5";"BIRDDMG_1_5, BirdDmg_N_T_S_M_V";"Trial evaluation";"After the event";;"BMS_22715";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000087";"Bird damage";"Biotic stress traits";"The plant damage caused by birds.";;"BirdDmg";"DmgBird, BIRDDMG, DMGBIR";"Plant";"Bird damage";;;"CO_321:0000308";"BirdDmg Estimation";"Estimation";"Standard method for bird damage.";;;"CO_321:0000457";"1-5 DMG scale";"Ordinal";"1.0";;;;"1= none (N)";"4= moderate (M)";"5= very severe (V)";"2= trace (T)";"3 = slight (S)";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -126,14 +126,14 @@ ;"CO_321:0001158";"FHBSpkResp_E_0to5";"FHB_0_5__SPKRESP";"Trial evaluation";"From DS75";;"BMS_22832";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000929";"Fusarium head blight spike response";"Biotic stress traits";"Fusarium head blight (scab) spike response caused by the agent fusarium spp.";;"FHBSpkResp";;"Spike";"Fusarium head blight spike response";;;"CO_321:0000322";"FHBSpkResp Estimation";"Estimation";"Standard method for FHB spike response.";;"Duveiller et al., 2012";"CO_321:0000774";"0-5 FHB field response scale";"Ordinal";"1.0";;;;"I= immune (I), 0 % of infection";"MS= moderately susceptible (MS), 12 to 20 % of infection";"S= susceptible (S), 21 to 50 % of infection";"R= resistant (R), 1 to 8 % of infection";"MR= moderately resistant (MR), 9 to 11 % of infection";"VS= very susceptible (VS), > 50 % of infection";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001159";"FHBSpkResp_E_1to8";"FHB_1_8__SPKRESP";"Trial evaluation";"From DS75";;"BMS_29044";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000929";"Fusarium head blight spike response";"Biotic stress traits";"Fusarium head blight (scab) spike response caused by the agent fusarium spp.";;"FHBSpkResp";;"Spike";"Fusarium head blight spike response";;;"CO_321:0000322";"FHBSpkResp Estimation";"Estimation";"Standard method for FHB spike response.";;"Duveiller et al., 2012";"CO_321:0000471";"1-8 generic disease field response scale";"Ordinal";"1.0";;;;"0= no visible infection (0)";"MR= moderately resistant (MR), small lesions surrounded by necrotic areas";"I= intermediate (M), lesions of variable size, some necrosis and/or chlorosis";"R= resistant (R), necrotic areas with or without small lesions";"R-MR= resistant to moderately resistance (R-MR)";"S= susceptible (S), large lesions, no necrosis or chlorosis";"MS= moderately Susceptible (MS), medium-sized lesions, no necrosis, but some chlorosis possible";"MS-S= moderately susceptible to susceptible (MS-S)";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001160";"FHBSpkWt_Calc_pct";"FHB_pct__SPKW";"Trial evaluation";"After harvest (From DS87)";;"BMS_23078";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000654";"Fusarium head blight spike weight";"Biotic stress traits";"Fusarium head blight (scab) incidence/severity/response in the plants caused by the agent fusarium spp.";;"FHBSpkWt";;"Spike";"Fusarium head blight spike weight";;;"CO_321:0000700";"FHBSpkWt Computation";"Computation";"Relative spike weight is calculated by dividing spike weight (at maturity) from infected by the non-infected.";"xxxx";"Duveiller et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001161";"FHBSplInc_Calc_Idx";"FHB_index__SPLINC";"Trial evaluation";"From DS75";;"BMS_29045";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000711";"Fusarium head blight spikelet incidence";"Biotic stress traits";"Fusarium head blight (scab) spikelets incidence caused by the agent fusarium spp.";;"FHBSplInc";;"Spikelet";"Fusarium head blight spikelet incidence";;;"CO_321:0000373";"FHBSplInc Computation";"Computation";"Calculated as the index (ratio) of infected spikelets over total number of spikelets by Calonectria nivalis (Fusarium nivale, F. graminearum) causing scab disease in spike.";"xxxx";"Duveiller et al., 2012";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001161";"FHBSplInc_Calc_Idx";"FHB_index__SPLINC";"Trial evaluation";"From DS75";;"BMS_29045";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000711";"Fusarium head blight spikelet incidence";"Biotic stress traits";"Fusarium head blight (scab) spikelets incidence caused by the agent fusarium spp.";;"FHBSplInc";;"Spikelet";"Fusarium head blight spikelet incidence";;;"CO_321:0000373";"FHBSplInc Computation";"Computation";"Calculated as the index (ratio) of infected spikelets over total number of spikelets by Calonectria nivalis (Fusarium nivale, F. graminearum) causing scab disease in spike.";"xxxx";"Duveiller et al., 2012";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001162";"FHBSplInc_Ct_SplInfect";"FHB_num__SPLINC";"Trial evaluation";"From DS75";;"BMS_29046";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000711";"Fusarium head blight spikelet incidence";"Biotic stress traits";"Fusarium head blight (scab) spikelets incidence caused by the agent fusarium spp.";;"FHBSplInc";;"Spikelet";"Fusarium head blight spikelet incidence";;;"CO_321:0000374";"FHBSplInc Counting";"Counting";"Standard method for FHB infected spikelets counting.";;"Duveiller et al., 2012";"CO_321:0000439";"spikelet";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001163";"FnivLBInc_E_0to9pcttext";"FNIVLB_0_9text__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22796";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000930";"Fusarium leaf blotch incidence";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) incidence in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBInc";;"Plant";"Fusarium leaf blotch incidence";;;"CO_321:0000339";"FnivLBInc Estimation";"Estimation";"Standard method for Fusarium leaf blotch incidence.";;"Duveiller et al., 2014";"CO_321:0000727";"0-9 percentage scale + text";"Text";"1.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001164";"FnivLBInc_E_pct";"FNIVLB_pct__INC";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_22797";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000930";"Fusarium leaf blotch incidence";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) incidence in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBInc";;"Plant";"Fusarium leaf blotch incidence";;;"CO_321:0000339";"FnivLBInc Estimation";"Estimation";"Standard method for Fusarium leaf blotch incidence.";;"Duveiller et al., 2014";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001165";"FnivLBSev_E_00to99text";"FNIVLB_00_99text__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22798";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000653";"Fusarium leaf blotch severity";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) severity in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBSev";;"Plant";"Fusarium leaf blotch severity";;;"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";;"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000728";"Double digit (00-99) + text";"Text";"1.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001166";"FnivLBSev_E_00to99";"FNIVLB_00_99__SEV";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_22795";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000653";"Fusarium leaf blotch severity";"Biotic stress traits";"Fusarium leaf blotch (pink snow mold, fusarium patch) severity in the plants caused by the agent Calonectria nivalis (fusarium nivale).";"FNIVLB, FNIVAL";"FnivLBSev";;"Plant";"Fusarium leaf blotch severity";;;"CO_321:0000690";"Double digit Estimation";"Estimation";"The method was improved by using two digits, representing the vertical disease progress and an estimate of severity. The first digit gives the relative height of the disease using the original 0-9 Saari-Prescott scale as a measure. The second digit shows the disease severity as a percentage but in terms of 0-9. Because it is difficult to evaluate diseases on dead leaves, disease notes should be taken when at least four leaves are still alive and green (soft to mid-dough growth stage). Then visually evaluate the average percentage severity on only those leaves of the uppermost four that are infected. In practice, the percent severity is estimated on an overall score. The following format is used for scoring severity: 10% coverage = 1, 20% coverage = 2, 30% coverage = 3, 40% coverage = 4, 50% coverage = 5, 60% coverage = 6, 70% coverage = 7, 80% coverage = 8, 90% coverage = 9. The score of 10 is not used.";;"Duveiller et al., 1998, Saari and Prescott, 1975, Eyal et al., 1987, Duveiller et al., 2012";"CO_321:0000470";"Double digit (00-99)";"Ordinal";"1.0";;;;"27= 20% plant height affected, 70% coverage";"25= 20% plant height affected, 50% coverage";"26= 20% plant height affected, 60% coverage";"19= 10% plant height affected, 90% coverage";"20= 20";"18= 10% plant height affected, 80% coverage";"23= 20% plant height affected, 30% coverage";"24= 20% plant height affected, 40% coverage";"21= 20% plant height affected, 10% coverage";"22= 20% plant height affected, 20% coverage";"96= 90% plant height affected, 60% coverage";"97= 90% plant height affected, 70% coverage";"94= 90% plant height affected, 40% coverage";"95= 90% plant height affected, 50% coverage";"99= 90% plant height affected, 90% coverage";"98= 90% plant height affected, 80% coverage";"87= 80% plant height affected, 70% coverage";"83= 80% plant height affected, 30% coverage";"84= 80% plant height affected, 40% coverage";"85= 80% plant height affected, 50% coverage";"86= 80% plant height affected, 60% coverage";"91= 90% plant height affected, 10% coverage";"90= 90";"93= 90% plant height affected, 30% coverage";"92= 90% plant height affected, 20% coverage";"89= 80% plant height affected, 90% coverage";"88= 80% plant height affected, 80% coverage";"76= 70% plant height affected, 60% coverage";"77= 70% plant height affected, 70% coverage";"74= 70% plant height affected, 40% coverage";"75= 70% plant height affected, 50% coverage";"72= 70% plant height affected, 20% coverage";"73= 70% plant height affected, 30% coverage";"82= 80% plant height affected, 20% coverage";"81= 80% plant height affected, 10% coverage";"80= 80";"79= 70% plant height affected, 90% coverage";"78= 70% plant height affected, 80% coverage";"70= 70";"71= 70% plant height affected, 10% coverage";"68= 60% plant height affected, 80% coverage";"69= 60% plant height affected, 90% coverage";"64= 60% plant height affected, 40% coverage";"63= 60% plant height affected, 30% coverage";"62= 60% plant height affected, 20% coverage";"61= 60% plant height affected, 10% coverage";"67= 60% plant height affected, 70% coverage";"66= 60% plant height affected, 60% coverage";"65= 60% plant height affected, 50% coverage";"58= 50% plant height affected, 80% coverage";"59= 50% plant height affected, 90% coverage";"60= 60";"51= 50% plant height affected, 10% coverage";"50= 50";"53= 50% plant height affected, 30% coverage";"52= 50% plant height affected, 20% coverage";"55= 50% plant height affected, 50% coverage";"54= 50% plant height affected, 40% coverage";"57= 50% plant height affected, 70% coverage";"56= 50% plant height affected, 60% coverage";"48= 40% plant height affected, 80% coverage";"49= 40% plant height affected, 90% coverage";"00= no disease";"46= 40% plant height affected, 60% coverage";"12= 10% plant height affected, 20% coverage";"45= 40% plant height affected, 50% coverage";"13= 10% plant height affected, 30% coverage";"44= 40% plant height affected, 40% coverage";"10= 10";"43= 40% plant height affected, 30% coverage";"11= 10% plant height affected, 10% coverage";"42= 40% plant height affected, 20% coverage";"16= 10% plant height affected, 60% coverage";"41= 40% plant height affected, 10% coverage";"17= 10% plant height affected, 70% coverage";"40= 40";"14= 10% plant height affected, 40% coverage";"39= 30% plant height affected, 90% coverage";"15= 10% plant height affected, 50% coverage";"47= 40% plant height affected, 70% coverage";"38= 30% plant height affected, 80% coverage";"33= 30% plant height affected, 30% coverage";"32= 30% plant height affected, 20% coverage";"35= 30% plant height affected, 50% coverage";"34= 30% plant height affected, 40% coverage";"29= 20% plant height affected, 90% coverage";"28= 20% plant height affected, 80% coverage";"31= 30% plant height affected, 10% coverage";"30= 30";"37= 30% plant height affected, 70% coverage";"36= 30% plant height affected, 60% coverage" ;"CO_321:0001167";"FoxiWilt_E_pct";"FOXYWIL _pct";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease.";;"BMS_22863";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000168";"Fusarium wilt incidence";"Biotic stress traits";"Fusarium wilt incidence in the plants caused by the agent fusarium oxysporum.";;"FoxiWilt";"FOXYWIL";"Plant";"Fusarium wilt incidence";;;"CO_321:0000356";"FoxiWilt Estimation";"Estimation";"Standard method for Fusarium wilt incidence.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001168";"GlmCol_E_1to3";"GLMCOL_1_3";"Descriptor";"DS61-DS75";;"BMS_29061";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000031";"Glume color";"Morphological traits";"Color observation on the outer glume at maturity.";;"GlmCol";;"Glume";"Color";;;"CO_321:0000251";"GlmCol Estimation";"Estimation";"Standard method for glume color.";;;"CO_321:0000451";"1-3 GLMCOL scale";"Nominal";;;;;"1= white";"2= red to brown";"3= purple to black";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001168";"GlmCol_E_1to3";"GLMCOL_1_3";"Descriptor";"DS61-DS75";;"BMS_29061";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000031";"Glume color";"Morphological traits";"Color observation on the outer glume at maturity.";;"GlmCol";;"Glume";"Color";;;"CO_321:0000251";"GlmCol Estimation";"Estimation";"Standard method for glume color.";;;"CO_321:0000451";"1-3 GLMCOL scale";"Nominal";;;;;"1= white";"2= red to brown";"3= purple to black";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001169";"GlmGlau_E_0to9";"GLMGLAU_0_9";"Research-intensive characterization";"DS61-DS75";;"BMS_29062";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000035";"Glume glaucousness";"Morphological traits";"Glaucousness in glume.";"Glume waxiness";"GlmGlau";;"Glume";"Glaucousness";;;"CO_321:0000255";"GlmGlau Estimation";"Estimation";"Standard method for glume glaucousness.";;;"CO_321:0000450";"0-9 density scale";"Ordinal";"1.0";;;;"0= absent";"3= sparse";"4= sparse to intermediate";"1= very sparse";"2= very sparse to sparse";"7= dense";"8= dense to very dense";"5= intermediate";"6= intermadiate to dense";"9= very dense";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001170";"GlmLng_M_mm";"GLMLNG_mm";"Descriptor";"DS61-DS75";;"BMS_29063";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000032";"Glume length";"Morphological traits";"Length of glume.";;"GlmLng";;"Glume";"Length";;;"CO_321:0000252";"GlmLng Measurement";"Measurement";"Standard method for glume length.";;;"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001171";"GlmPubDen_E_0to9";"GLMPUBDEN _0_9";"Descriptor";"DS61-DS75";;"BMS_29064";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000033";"Glume pubescence density";"Morphological traits";"Glume hairiness density on outer side of sterile glume.";"Glume hairiness";"GlmPubDen";;"Glume";"Pubescence density";;;"CO_321:0000253";"GlmPubDen Estimation";"Estimation";"Standard method for glume pubescence density.";;;"CO_321:0000450";"0-9 density scale";"Ordinal";"1.0";;;;"0= absent";"3= sparse";"4= sparse to intermediate";"1= very sparse";"2= very sparse to sparse";"7= dense";"8= dense to very dense";"5= intermediate";"6= intermadiate to dense";"9= very dense";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -148,7 +148,7 @@ ;"CO_321:0001180";"GApp_E_0to9";"GRNAPP_0_9";"Trial evaluation";"After harvest (From DS87)";;"BMS_22930";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000656";"Grain appearance";"Morphological traits";"Appearance of a single grain.";"Kernel appearance";"GApp";"GRNAPP";"Grain";"Appearance";;;"CO_321:0000823";"GApp Estimation";"Estimation";"Standard method for grain appearance.";;;"CO_321:0000824";"0-9 GRNAPP scale";"Ordinal";"1.0";;;;"0=";"3=";"4=";"1=";"2=";"7=";"8=";"5=";"6=";"9=";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001181";"GApp_E_0to9text";"GRNAPP_0_9text";"Trial evaluation";"After harvest (From DS87)";"Obsolete/legacy";"BMS_22931";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000656";"Grain appearance";"Morphological traits";"Appearance of a single grain.";"Kernel appearance";"GApp";"GRNAPP";"Grain";"Appearance";;;"CO_321:0000823";"GApp Estimation";"Estimation";"Standard method for grain appearance.";;;"CO_321:0000825";"0-9 GRNAPP scale + text";"Text";"1.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001182";"GCID_M_delta13C";"GRAINCID_delta";"Research-intensive characterization";"From DS87";;"BMS_29073";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000195";"Grain carbon isotope discrimination";"Physiological traits";"Grain carbon isotope discrimination at maturity from drought trials provides genotypic effects most likely to be related to transpiration rate or an integrative measurement of stomatal conductance.";;"GCID";"GrainCID";"Grain";"Carbon isotope discrimination";;;"CO_321:0000383";"CID determination";"Measurement";"Proceed following the protocol for sampling of grains or leaves for CID in Chapter 6 in Pask et al., 2012. Mass spectrometers generate differential values of stable carbon isotope composition (?13C), expressed negative values in parts per thousand (?) (Farquhar et al., 1989): ?13C (?) = [(Rsample/Rstandard)?1] x 1000. Where: the ratio of heavy to light isotope (R = 13C/12C) for the sample is in comparison to Peedee Belemnite (PDB) carbonate (limestone) standard. Following Farquhar et al. (1989) ? rather than using carbon isotope composition values (?13C), positive values for CID (?13C) can be calculated for easier statistical analysis as: ?13C = [(?a-?p)]/[1 + (?p/1000)]";;"Pask et al., 2012 (Ch. 6), Reynolds et al., 2001 (Ch. 5)";"CO_321:0000433";"delta 13C";"Numerical";"2.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001183";"GCol_E_1to3";"GRNCOL_1_3";"Descriptor";"After physiological maturity (DS87)";;"BMS_29074";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";;;"CO_321:0000257";"GCol Estimation";"Estimation";"Standard method for grain color.";;;"CO_321:0000452";"1-3 GRNCOL scale";"Nominal";;;;;"W= white";"R= red";"P= purple";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001183";"GCol_E_1to3";"GRNCOL_1_3";"Descriptor";"After physiological maturity (DS87)";;"BMS_29074";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";;;"CO_321:0000257";"GCol Estimation";"Estimation";"Standard method for grain color.";;;"CO_321:0000452";"1-3 GRNCOL scale";"Nominal";;;;;"W= white";"R= red";"P= purple";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001184";"GCol_M_avalue";"GRNCOL_a_value";"Trial evaluation";"After harvest (From DS87)";;"BMS_29075";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";;;"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";;;"CO_321:0000416";"a value";"Numerical";"1.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001185";"GCol_M_bvalue";"GRNCOL_b_value";"Trial evaluation";"After harvest (From DS87)";;"BMS_29076";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";;;"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";;;"CO_321:0000417";"b value";"Numerical";"1.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001186";"GCol_M_Lvalue";"GRNCOL_L_value";"Trial evaluation";"After harvest (From DS87)";;"BMS_29077";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000037";"Grain color";"Quality traits";"Grain color.";"Kernel color";"GCol";"GRNCOL";"Grain";"Color";;;"CO_321:0000400";"Minolta Chroma Meter Test";"Measurement";"Measurement of flour/whole meal/grain color with the Minolta chromameter, L value represents whiteness, a* value (reddishness) represents red and green colors and b* value (yellowness) represents yellow and blue colors. Using the Minolta Chroma Meter Test: 1. A sample of flour/whole meal/grain is placed on the granular materials attachment and compacted, 2. The Minolta Chroma Meter is inserted into the granular materials attachment, 3. Measurements are taken and recorded, 4.Color results are reported in terms of 3-dimensional color values based on the following rating scale: L* value whiteness: 100 white, 0 black, a* value positive +60 red color, negative values -60 green color, b* value positive +60 yellow color, negative values -60 blue color.";;;"CO_321:0000424";"L value";"Numerical";"1.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -163,8 +163,8 @@ ;"CO_321:0001195";"GHrd_M_1to5";"HRDCLS_1_5";"Trial evaluation";"After harvest (From DS87)";;"BMS_29099";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000072";"Grain hardness";"Quality traits";"Grain hardness is used as a grading factor to determine the type of wheat. It is a key determinant for classification of wheat and end product quality.";"Grain texture";"GHrd";"HRDCLS, GRNHRD";"Grain";"Hardness";;;"CO_321:0000295";"GHrd Measurement";"Measurement";"Standard method for grain hardness class.";;;"CO_321:0000459";"1-5 HRDCLS scale";"Ordinal";;;;;"S= soft (S)";"H= hard (H)";"VH= very hard (VH)";"MS= medium soft (MS)";"MH= medium hard (MH)";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001196";"GIron_M_ppm";"GRNIRON_ppm";"Trial evaluation";"After harvest (From DS87)";"Obsolete";"BMS_29081";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000222";"Grain Iron content";"Quality traits";"Content of iron in grain.";;"GIron";"GRNIRON";"Grain";"Iron content";;;"CO_321:0000402";"GIron Measurement";"Measurement";"Standard method for grain iron content.";;;"CO_321:0000425";"ppm";"Numerical";"1.0";"1.0";"15.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001197";"GrnIron_M_mgkg";"GRNIRON_mg_kg";"Trial evaluation";"After harvest (From DS87)";;"BMS_29080";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000222";"Grain Iron content";"Quality traits";"Content of iron in grain.";;"GIron";"GRNIRON";"Grain";"Iron content";;;"CO_321:0000402";"GIron Measurement";"Measurement";"Standard method for grain iron content.";;;"CO_321:0000865";"mg/kg";"Numerical";"2.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001198";"GMoi_E_pct";"GRNH20_pct";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_22692";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000012";"Grain moisture content";"Agronomical traits";"Moisture content of grain.";;"GMoi";"GRNH20, GrnMoist";"Grain";"Moisture content";;;"CO_321:0000235";"GMoi Estimation";"Estimation";"Moisture content is determined by drying a grain wheat sample in an air oven and comparing the weight of the sample before and after heating. The amount of weight loss is the moisture content. Moisture content results are expressed as a percentage.";;"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001199";"GN_Calc_Grnm2";"GNO, grains/m2, GM2, kernel/m2, KNO, GNO_grains_m2";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_29072";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000017";"Grain number";"Agronomical traits";"Number of grains expressed as per unit area or sample.";"Kernel number";"GN";"GNO, GrnNo, KrnNo, KN";"Grain";"Number";;;"CO_321:0000391";"GN Computation";"Computation";"Grain number (GNO) as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives. GNO determines the sink size of the crop and under many conditions it is strongly correlated with yield. Grains/m2 (GNO) = yield (g/m2) / TGW (g) x 1000.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000392";"grain/m2";"Numerical";"0.0";"1000.0";"50000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001198";"GMoi_E_pct";"GRNH20_pct";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_22692";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000012";"Grain moisture content";"Agronomical traits";"Moisture content of grain.";;"GMoi";"GRNH20, GrnMoist";"Grain";"Moisture content";;;"CO_321:0000235";"GMoi Estimation";"Estimation";"Moisture content is determined by drying a grain wheat sample in an air oven and comparing the weight of the sample before and after heating. The amount of weight loss is the moisture content. Moisture content results are expressed as a percentage.";;"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001199";"GN_Calc_Grnm2";"GNO, grains/m2, GM2, kernel/m2, KNO, GNO_grains_m2";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_29072";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000017";"Grain number";"Agronomical traits";"Number of grains expressed as per unit area or sample.";"Kernel number";"GN";"GNO, GrnNo, KrnNo, KN";"Grain";"Number";;;"CO_321:0000391";"GN Computation";"Computation";"Grain number (GNO) as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives. GNO determines the sink size of the crop and under many conditions it is strongly correlated with yield. Grains/m2 (GNO) = yield (g/m2) / TGW (g) x 1000.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000392";"grain/m2";"Numerical";"0.0";"1000.0";"50000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001200";"GrnSpk_Calc_GrnSpk";"GRNSPK, grains/spike, GRNSPK_num";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_22908";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000038";"Grain number per spike";"Agronomical traits";"Number of grains per spike.";"Kernel number per spike, grains per spike";"GrnSpk";"GRNSPK";"Spike";"Grain number";;;"CO_321:0000258";"GrnSpk Computation";"Computation";"The number of grains per spike can be measured independently by threshing a known number of randomly selected spikes per plot (10-20 spikes per plot) or can be calculated as: Grains per spike (GSP) = grains m2 / spikes m2.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000435";"grain/spike";"Numerical";"1.0";"10.0";"300.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001201";"GrnSpl_Calc_GrnSpl";"GRNSPL, grains/spikelet, GRNSPL_num";"Research-intensive characterization";"After physiological maturity (DS87)";;"BMS_23059";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000041";"Grain number per spikelet";"Agronomical traits";"Number of grains per spikelet.";"Kernel number per spikelet";"GrnSpl";;"Spikelet";"Grain number";;;"CO_321:0000261";"GrnSpl Computation";"Computation";"Sample as for spikelets per spike randomly select 5-10 spikes per plot, by selecting at the base of the culm. Count the spikelets, thresh, count grains, and calculate, or less accurately simply calculate from calculated grains per spike and measured spikelet number.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000436";"grain/spikelet";"Numerical";"1.0";"1.0";"30.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001202";"GPhos_M_mgkg";"GRNPHOS_mg_kg";"Trial evaluation";"After harvest (From DS87)";;"BMS_29082";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000223";"Grain phosphorous content";"Quality traits";"Content of phosphorus in grain.";;"GPhos";"GRNPHOS";"Grain";"Phosphorous content";;;"CO_321:0000403";"GPhos Measurement";"Measurement";"Standard method for grain phosphorus content.";;;"CO_321:0000865";"mg/kg";"Numerical";"2.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -193,7 +193,7 @@ ;"CO_321:0001225";"GZinc_M_mgkg";"GRNZINC_mg_kg";"Trial evaluation";"After harvest (From DS87)";;"BMS_29088";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000224";"Grain Zinc content";"Quality traits";"Content of zinc in grain.";;"GZinc";"GRNZINC";"Grain";"Zinc content";;;"CO_321:0000404";"GZinc Measurement";"Measurement";"Standard method for grain zinc content.";;;"CO_321:0000865";"mg/kg";"Numerical";"2.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001226";"GZinc_M_ppm";"GRNZINC_ppm";"Trial evaluation";"After harvest (From DS87)";"Obsolete";"BMS_29089";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000224";"Grain Zinc content";"Quality traits";"Content of zinc in grain.";;"GZinc";"GRNZINC";"Grain";"Zinc content";;;"CO_321:0000404";"GZinc Measurement";"Measurement";"Standard method for grain zinc content.";;;"CO_321:0000425";"ppm";"Numerical";"1.0";"1.0";"15.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001227";"GrwCls_E_1to3";"GROWTHCLS_1_3";"Descriptor";"DS55-DS81";;"BMS_29090";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000665";"Growth class";"Phenological traits";"Classification of vernalization responsive growth habit as winter, facultative or spring wheat.";"Seasonality, Vernalization response";"GrwCls";;"Plant";"Growth class";;;"CO_321:0000839";"GrwCls Estimation";"Estimation";"Classification of vernalization responsive growth habit as winter, facultative or spring wheat";;;"CO_321:0000851";"1-3 GROWTHCLS scale";"Nominal";;;;;"W= winter";"I= facultative (intermediate)";"S= spring";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001228";"GrwStg_Zdks_00to99";"GRWSTG_00_99, DECODS";"Research-intensive characterization";"DS00-DS99";;"BMS_22995";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000016";"Growth stage";"Phenological traits";"Growth/developmental stages based on Zadoks decimal code.";;"GrwStg";"DECODS";"Plant";"Growth stage";;;"CO_321:0000239";"GrwStg Zadoks Estimation";"Estimation";"Observe the growth stage or development stage (DS) of wheat plants using the Zadoks scale decimal code, based on 10 major stages, with each stage divided into sub-stages.";;"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000476";"Zadoks or decimal code (00-99)";"Ordinal";;;;;"96= Ripening, 50% of viable seed germinates";"97= Ripening, Seed not dormant";"94= Ripening, Overripe, straw dead and collapsing";"95= Ripening, Seed dormant";"22= Tillering, Main shoot and 2 Tillers";"87= Dough development, Hard dough (thumbnail impression held)";"85= Dough development, Soft dough (firm, thumbnail mark not held)";"20= Tillering, Main shoot only";"83= Dough development, Early dough (elastic, dry and shiny)";"21= Tillering, Main shoot and 1 Tiller";"81= Dough development, Very early dough (slides when crushed)";"93= Ripening, Kernel loosening in daytime";"92= Ripening, Kernel hard (not dented by thumbnail)";"91= Ripening, Kernel hard (difficult to divide, 16% water)";"14= Seedling development , 4 leaves unfolded";"15= Seedling development , 5 leaves unfolded";"13= Seedling development , 3 leaves unfolded";"18= Seedling development , 8 leaves unfolded";"19= Seedling development , 9 or more leaves unfolded";"16= Seedling development , 6 leaves unfolded";"17= Seedling development , 7 leaves unfolded";"73= Kernel and milk development, Early milk (liquid off -white)";"75= Kernel and milk development, Medium milk (milky liquid)";"77= Kernel and milk development, Late milk (more solids in milk)";"55= Heading, ½ of head emerged";"53= Heading, ¼ of head emerged";"59= Heading, Emergence of head complete";"57= Heading, ¾ of head emerged";"65= Flowering or anthesis, Flowering half complete";"61= Flowering or anthesis, Start of flowering";"71= Kernel and milk development, Kernel watery ripe (clear liquid)";"69= Flowering or anthesis, Flowering complete";"49= Booting, First awns visible";"51= Heading, First spikelet of head visible";"00= Germination, Dry seed";"45= Booting, Boot swollen";"05= Germination, Radicle emerged from seed";"43= Booting, Boot just visibly swollen";"07= Germination, Coleoptile emerged from seed";"41= Booting, Flag leaf sheath extending";"01= Germination, Water uptake (imbibition) started";"03= Germination, Imbibition complete";"39= Stem elongation or jointing, Flag leaf ligule/collar just visible";"11= Seedling development , First leaf unfolded";"37= Stem elongation or jointing, Flag leaf just visible";"12= Seedling development , 2 leaves unfolded";"36= Stem elongation or jointing, 6th node detectable";"09= Germination, Leaf just at coleoptile tip";"35= Stem elongation or jointing, 5th node detectable";"10= Seedling development , First leaf emerged";"34= Stem elongation or jointing, 4th node detectable";"47= Booting, Flag leaf sheath opening";"33= Stem elongation or jointing, 3rd node detectable";"98= Ripening, Secondary dormancy";"99= Ripening, Secondary dormancy lost";"28= Tillering, Main shoot and 8 Tillers";"27= Tillering, Main shoot and 7 Tillers";"30= Stem elongation or jointing, Pseudo stem erection";"29= Tillering, Main shoot and 9 or more Tillers 89 Late hard dough (difficult to dent)";"24= Tillering, Main shoot and 4 Tillers";"23= Tillering, Main shoot and 3 Tillers";"26= Tillering, Main shoot and 6 Tillers";"25= Tillering, Main shoot and 5 Tillers";"32= Stem elongation or jointing, 2nd node detectable";"31= Stem elongation or jointing, 1st node detectable";;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001228";"GrwStg_Zdks_00to99";"GRWSTG_00_99, DECODS";"Research-intensive characterization";"DS00-DS99";;"BMS_22995";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"23-sept-14";"EN";"Wheat";"CO_321:0000016";"Growth stage";"Phenological traits";"Growth/developmental stages based on Zadoks decimal code.";;"GrwStg";"DECODS";"Plant";"Growth stage";;;"CO_321:0000239";"GrwStg Zadoks Estimation";"Estimation";"Observe the growth stage or development stage (DS) of wheat plants using the Zadoks scale decimal code, based on 10 major stages, with each stage divided into sub-stages.";;"Zadoks et al., 1974, Pask et al., 2012";"CO_321:0000476";"Zadoks or decimal code (00-99)";"Ordinal";;;;;"96= Ripening, 50% of viable seed germinates";"97= Ripening, Seed not dormant";"94= Ripening, Overripe, straw dead and collapsing";"95= Ripening, Seed dormant";"22= Tillering, Main shoot and 2 Tillers";"87= Dough development, Hard dough (thumbnail impression held)";"85= Dough development, Soft dough (firm, thumbnail mark not held)";"20= Tillering, Main shoot only";"83= Dough development, Early dough (elastic, dry and shiny)";"21= Tillering, Main shoot and 1 Tiller";"81= Dough development, Very early dough (slides when crushed)";"93= Ripening, Kernel loosening in daytime";"92= Ripening, Kernel hard (not dented by thumbnail)";"91= Ripening, Kernel hard (difficult to divide, 16% water)";"14= Seedling development , 4 leaves unfolded";"15= Seedling development , 5 leaves unfolded";"13= Seedling development , 3 leaves unfolded";"18= Seedling development , 8 leaves unfolded";"19= Seedling development , 9 or more leaves unfolded";"16= Seedling development , 6 leaves unfolded";"17= Seedling development , 7 leaves unfolded";"73= Kernel and milk development, Early milk (liquid off -white)";"75= Kernel and milk development, Medium milk (milky liquid)";"77= Kernel and milk development, Late milk (more solids in milk)";"55= Heading, ½ of head emerged";"53= Heading, ¼ of head emerged";"59= Heading, Emergence of head complete";"57= Heading, ¾ of head emerged";"65= Flowering or anthesis, Flowering half complete";"61= Flowering or anthesis, Start of flowering";"71= Kernel and milk development, Kernel watery ripe (clear liquid)";"69= Flowering or anthesis, Flowering complete";"49= Booting, First awns visible";"51= Heading, First spikelet of head visible";"00= Germination, Dry seed";"45= Booting, Boot swollen";"05= Germination, Radicle emerged from seed";"43= Booting, Boot just visibly swollen";"07= Germination, Coleoptile emerged from seed";"41= Booting, Flag leaf sheath extending";"01= Germination, Water uptake (imbibition) started";"03= Germination, Imbibition complete";"39= Stem elongation or jointing, Flag leaf ligule/collar just visible";"11= Seedling development , First leaf unfolded";"37= Stem elongation or jointing, Flag leaf just visible";"12= Seedling development , 2 leaves unfolded";"36= Stem elongation or jointing, 6th node detectable";"09= Germination, Leaf just at coleoptile tip";"35= Stem elongation or jointing, 5th node detectable";"10= Seedling development , First leaf emerged";"34= Stem elongation or jointing, 4th node detectable";"47= Booting, Flag leaf sheath opening";"33= Stem elongation or jointing, 3rd node detectable";"98= Ripening, Secondary dormancy";"99= Ripening, Secondary dormancy lost";"28= Tillering, Main shoot and 8 Tillers";"27= Tillering, Main shoot and 7 Tillers";"30= Stem elongation or jointing, Pseudo stem erection";"29= Tillering, Main shoot and 9 or more Tillers 89 Late hard dough (difficult to dent)";"24= Tillering, Main shoot and 4 Tillers";"23= Tillering, Main shoot and 3 Tillers";"26= Tillering, Main shoot and 6 Tillers";"25= Tillering, Main shoot and 5 Tillers";"32= Stem elongation or jointing, 2nd node detectable";"31= Stem elongation or jointing, 1st node detectable";;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001229";"HailDmg_E_0to9";"HAILDMG_0_9";"Nursery/Trial evaluation";"After the event";;"BMS_29092";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000126";"Hail damage";"Abiotic stress traits";"Plant damage caused by hail.";;"HailDmg";;"Plant";"Hail damage";;;"CO_321:0000340";"HailDmg Estimation";"Estimation";"Score the damage caused by hail.";;;"CO_321:0000449";"0-9 DAMAGE scale";"Ordinal";"1.0";;;;"0= no damage";"3= low damage";"4= low to intermediate damage";"1= trace";"2= very low damage";"7= high damage";"8= high to very high damage";"5= intermediate damage";"6= intermediate to high damage";"9= very high damage";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001230";"HailDmg_E_1to5";"HAILDMG_1_5, HailDmg_N_T_S_M_V";"Nursery/Trial evaluation";"After the event";;"BMS_22717";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000126";"Hail damage";"Abiotic stress traits";"Plant damage caused by hail.";;"HailDmg";;"Plant";"Hail damage";;;"CO_321:0000340";"HailDmg Estimation";"Estimation";"Score the damage caused by hail.";;;"CO_321:0000457";"1-5 DMG scale";"Ordinal";"1.0";;;;"1= none (N)";"4= moderate (M)";"5= very severe (V)";"2= trace (T)";"3 = slight (S)";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001231";"HI_Calc_Idx";"HI_index";"Trial evaluation";"After physiological maturity (DS87)";;"BMS_18120";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000123";"Harvest index";"Agronomical traits";"A ratio of grain yield to total above ground biomass.";"Biomass partitioning to grain";"HI";;"Plant";"Biomass partitioning to grain";;;"CO_321:0001030";"HI Computation";"Computation";"Harvest index is expressed in percentage and can be calculated as Harvest index (%) = (Grain yield/Biomass)*100.";"xxxx";"Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012";"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -228,7 +228,7 @@ ;"CO_321:0001260";"LeafPubDen_E_0to9";"LEAFPUBDEN_0_9";"Research-intensive characterization";;;"BMS_29111";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000045";"Leaf pubescence density";"Morphological traits";"Leaf hairiness density.";;"LeafPubDen";;"Leaf";"Pubescence density";;;"CO_321:0000265";"LeafPubDen Estimation";"Estimation";"Standard method for leaf pubescence density.";;;"CO_321:0000450";"0-9 density scale";"Ordinal";"1.0";;;;"0= absent";"3= sparse";"4= sparse to intermediate";"1= very sparse";"2= very sparse to sparse";"7= dense";"8= dense to very dense";"5= intermediate";"6= intermadiate to dense";"9= very dense";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001261";"LeafPubLng_M_um";"LEAFPUBLNG _um";"Research-intensive characterization";;;"BMS_29112";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000046";"Leaf pubescence length";"Morphological traits";"Leaf pubescent length.";;"LeafPubLng";;"Leaf";"Pubescence length";;;"CO_321:0000266";"LeafPubLng Measurement";"Measurement";"Standard method for leaf pubescence length.";;;"CO_321:0000415";"µm";"Numerical";;"0.1";"0.5";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001262";"PrecoCI_Calc_pct";"PRECO_pct__CI";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_22758";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000897";"Leaf rust coefficient of infection";"Biotic stress traits";"Leaf rust (brown rust) incidence/severity/response in the plants caused by the agent Puccinia recondita.";"Leaf rust CI";"PrecoCI";"BwRustCI, LRCI";"Leaf";"Leaf rust coefficient of infection";;;"CO_321:0001026";"Rust Coefficient of infection Computation";"Computation";"Coefficient of infection (CI) calculated by multiplying the severity times a constant for host response: where immune = 0.0, R=0.2, MR =0.4, MS =0.8, and S=1.0.";"xxxx";"Roelfs et al., 1992";"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001263";"PrecoInc_E_1to9";"PRECO_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_22761";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000898";"Leaf rust incidence";"Biotic stress traits";"Leaf rust (brown rust) incidence in the plants caused by the agent Puccinia recondita.";;"PrecoInc";"BwRustInc, LRInc";"Leaf";"Leaf rust incidence";;;"CO_321:0000707";"PrecoInc Estimation";"Estimation";"Standard method for leaf rust incidence.";;"Roelfs et al., 1992";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1.0";;;;"1= none";"4= low to medium";"5= medium";"2= very low";"3= low";"8= very high";"9= severe";"6= medium to high";"7= high";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001263";"PrecoInc_E_1to9";"PRECO_1_9";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_22761";"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"25-oct-15";"EN";"Wheat";"CO_321:0000898";"Leaf rust incidence";"Biotic stress traits";"Leaf rust (brown rust) incidence in the plants caused by the agent Puccinia recondita.";;"PrecoInc";"BwRustInc, LRInc";"Leaf";"Leaf rust incidence";;;"CO_321:0000707";"PrecoInc Estimation";"Estimation";"Standard method for leaf rust incidence.";;"Roelfs et al., 1992";"CO_321:0000465";"1-9 incidence scale";"Ordinal";"1.0";;;;"1= none";"4= low to medium";"5= medium";"2= very low";"3= low";"8= very high";"9= severe";"6= medium to high";"7= high";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001264";"PrecoLegacy_E_9to1";"PRECO_9_1";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";"Obsolete/legacy";"BMS_22762";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000899";"Leaf rust legacy";"Biotic stress traits";"Leaf rust (brown rust) incidence/severity/response in the plants caused by the agent Puccinia recondita.";;"PrecoLegacy";"BwRustLegacy, LRLegacy";"Leaf";"Leaf rust legacy";;;"CO_321:0000900";"PrecoLegacy Estimation";"Estimation";"Standard method for leaf rust legacy.";;"Roelfs et al., 1992";"CO_321:0000877";"9-1 PRECO scale";"Ordinal";"1.0";;;;"9=";"6=";"5=";"8=";"7=";"2=";"1=";"4=";"3=";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001265";"PrecoNote_E_text";"PRECO_text";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_29144";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000687";"Leaf rust notes";"Biotic stress traits";"Leaf rust (brown rust) incidence/severity/response in the plants caused by the agent Puccinia recondita.";;"PrecoNote";"BrwRustInc, LRInc";"Leaf";"Leaf rust notes";;;"CO_321:0000708";"Note Estimation";"Estimation";"Notes taken in the field.";;"Roelfs et al., 1992";"CO_321:0000443";"text";"Text";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001266";"PrecoResp_E_0to4";"PRECO_0_4__RESP";"Nursery/Trial evaluation";"Disease assessment is conducted through the growing season starting with the onset of the disease. Mainly from DS61.";;"BMS_22764";"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"25-oct-15";"EN";"Wheat";"CO_321:0000178";"Leaf rust plant response";"Biotic stress traits";"Leaf rust (brown rust) response in the plants caused by the agent Puccinia recondita.";;"PrecoResp";"BwRustResp, LRResp";"Leaf";"Leaf rust plant response";;;"CO_321:0000706";"PrecoResp Estimation";"Estimation";"Standard method for leaf rust response.";;"Roelfs et al., 1992";"CO_321:0000768";"0-4 PRECO scale";"Ordinal";"1.0";;;;"I= immune (0), no uredinia or other macroscopic sign of infection";"MS= moderately susceptible (MS), medium-sized pustules, no necrosis, but some chlorosis possible";"S= susceptible (S), large pustules, no necrosis or chlorosis";"R= resistant (R), necrotic areas with or without small pustules";"MR= moderately resistant (MR), small pustules surrounded by necrotic areas";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -412,7 +412,7 @@ ;"CO_321:0001454";"GNDVI_M_Idx";"GNDVI_index";"Nursery/Trial evaluation";"DS10-DS85";;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000961";"Canopy green normalized difference vegetation index";"Physiological traits";"Normalized difference vegetation index is used to measure vegetative greenness and canopy photosynthetic size.";;"GNDVI";;"Canopy";"Normalized difference vegetation index";;;"CO_321:0000984";"GNDVI Measurement";"Measurement";"Standard method for spectral reflectance.";;;"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001455";"RNDVI_M_Idx";"RNDVI_index";"Nursery/Trial evaluation";"DS10-DS85";;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"23-sept-14";"EN";"Wheat";"CO_321:0000962";"Canopy red normalized difference vegetation index";"Physiological traits";"Normalized difference vegetation index is used to measure vegetative greenness and canopy photosynthetic size.";;"RNDVI";;"Canopy";"Normalized difference vegetation index";;;"CO_321:0000985";"RNDVI Measurement";"Measurement";"Standard method for spectral reflectance.";;;"CO_321:0000421";"index";"Numerical";"0.0";"0.0";"1000.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001456";"GAmyloPec_M_pct";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000966";"Grain amylopectin content";"Quality traits";"Content of amylopectin in grain.";;"GAmyloPec";;"Grain";"Amylopectin content";;;"CO_321:0000989";"GAmyloPec Measurement";"Measurement";"Standard method for grain amylopectin content.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001457";"GLys_M_pct";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000967";"Grain lysine content";"Quality traits";"Lysine content of the kernel/grain.";;"GLys";;"Grain";"Lysine content";;;"CO_321:0000990";"GLys Measurement";"Measurement";"Standard method for grain lysine content.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001457";"GLys_M_pct";"GLYS_pct";"Nursery/Trial evaluation";;;;"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"05-janv-16";"EN";"Wheat";"CO_321:0000967";"Grain lysine content";"Quality traits";"Lysine content of the kernel/grain.";;"GLys";;"Grain";"Lysine content";;;"CO_321:0000990";"GLys Measurement";"Measurement";"Standard method for grain lysine content.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001458";"RachLng_M_mm";;"Nursery/Trial evaluation";;;;"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000970";"Rachis length";"Morphological traits";"Length of rachis.";;"RachLng";;"Rachis";"Length";;;"CO_321:0000993";"RachLng Measurement";"Measurement";"Standard method for rachis length.";;;"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001459";"SpkTyp_E_1to6";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000971";"Spike type";"Morphological traits";"Shape characteristics of typical mature spikes.";;"SpkTyp";;"Spike";"Type";;;"CO_321:0000994";"SpkTyp Estimation";"Estimation";"Standard method for spike type.";;;"CO_321:0001014";"1-6 SPKTYPE scale";"Ordinal";"1.0";;;;"1= Fusiform";"4= Clavate";"5= Elliptical";"2= Branched";"3= Oblong";"6= Mixed";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001460";"StdEst_E_1to3";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000972";"Stand establishment";"Agronomical traits";"Measurement of plant emergence and vigor in the field.";;"StdEst";;"Plant";"Establish";;;"CO_321:0000995";"StdEst Estimation";"Estimation";"Standard method for standard establishment.";;;"CO_321:0001015";"1-3 STDEST scale";"Ordinal";"1.0";;;;"1= Good";"2= Moderate";"3= Poor";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -423,7 +423,7 @@ ;"CO_321:0001465";"StrawYld_E_tha";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000977";"Straw yield";"Agronomical traits";"Amount (weight) of straw.";;"StrawYld";;"Straw";"Yield";;;"CO_321:0001000";"StrawYld Estimation";"Estimation";"Standard method for straw yield.";;;"CO_321:0000432";"t/ha";"Numerical";"2.0";"0.0";"20.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001466";"WMFlrAsh_E_pct";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000978";"Whole meal flour ash content";"Quality traits";"Ash content in flour.";;"WMFlrAsh";;"Whole meal flour";"Ash content";;;"CO_321:0001001";"WMFlrAsh Estimation";"Estimation";"Standard method for ash content in whole meal flour.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001467";"GLng_M_mm";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000979";"Grain length";"Quality traits";"Length of whole grain.";;"GLng";"kernel length";"Grain";"Length";;;"CO_321:0001002";"GLng Measurement";"Measurement";"Standard method for whole grain length.";;;"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0001468";"GWid_M_mm";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000980";"Grain width";"Quality traits";"Width of whole grain.";;"GWid";"kernel width";"Grain";"Width";;;"CO_321:0001003";"GWid Measurement";"Measurement";"Standard method for whole grain width.";;;"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;"CO_321:0001468";"GWid_M_mm";"GWID_mm";"Nursery/Trial evaluation";;;;"CIMMYT, T3";"Rosemary Shrestha, Julian Pietragalla, Jean-Luc Jannink";"05-janv-16";"EN";"Wheat";"CO_321:0000980";"Grain width";"Quality traits";"Width of whole grain.";;"GWid";"kernel width";"Grain";"Width";;;"CO_321:0001003";"GWid Measurement";"Measurement";"Standard method for whole grain width.";;;"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001469";"GThk_M_mm";;"Nursery/Trial evaluation";;;;"CIMMYT";"Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000981";"Grain thickness";"Quality traits";"Thickness of whole grain.";;"GThk";"kernel thickeness";"Grain";"Thickness";;;"CO_321:0001004";"GThk Measurement";"Measurement";"Standard method for whole grain thickness.";;;"CO_321:0000428";"mm";"Numerical";"1.0";"2.0";"40.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001470";"GSize_ScreenCount1_pct";;"Nursery/Trial evaluation";;;;"CIMMYT";"Kate Dreher, Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000040";"Grain size";"Morphological traits";"Grain size.";"Kernel size";"GSize";"GSiz, Ksize, GrnSize";"Grain";"Size";;;"CO_321:0001005";"Image Analysis Screen Count1";"Counting";"Standard method for screening grain size distribution >2.8 Screen using Seed Count (SC5000R)machine.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0001471";"GSize_ScreenCount2_pct";;"Nursery/Trial evaluation";;;;"CIMMYT";"Kate Dreher, Rosemary Shrestha, Julian Pietragalla";"05-janv-16";"EN";"Wheat";"CO_321:0000040";"Grain size";"Morphological traits";"Grain size.";"Kernel size";"GSize";"GSiz, Ksize, GrnSize";"Grain";"Size";;;"CO_321:0001006";"Image Analysis Screen Count2";"Counting";"Standard method for screening grain size distribution ranging from 2.8 ? 2.5 Screen using Seed Count (SC5000R) machine.";;;"CO_321:0000410";"%";"Numerical";"1.0";"0.0";"100.0";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -567,7 +567,6 @@ ;"CO_321:0501070";"GLead_M_ppm";"GRNLEAD_ppm";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500030";"Grain lead content";"Quality traits";"Content of Lead in grain.";;"GLead";"GRNLEAD";"Grain";"Lead content";;;"CO_321:0500167";"GLead Measurement";"Measurement";"Standard method for grain lead content.";;;"CO_321:0000425";"ppm";"Numerical";1;1;15;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501071";"GLith_M_ppm";"GRNLITH_ppm";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500031";"Grain Lithium content";"Quality traits";"Content of Lithium in grain.";;"GLith";"GRNLITH";"Grain";"Lithium content";;;"CO_321:0500168";"GLithium Measurement";"Measurement";"Standard method for grain lithium content.";;;"CO_321:0000425";"ppm";"Numerical";1;1;15;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501072";"GlmPub_M_0to1";"GLMPUB_0_1";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500023";"Glume pubescence presence";"Morphological traits";"The presence of fine hairs on the external face of the glumes";"glume pubescence";"GlmPub";;"Glume";"Glume pubescence";;;"CO_321:0500169";"Glume Pubescence Presence Measurement";"Measurement";"Glume pubescence scored as absence/presence (0/1)";;;"CO_321:0500502";"0-1 Absence/Presence";"Ordinal";1;0;1;;"0= Absent";"1= Present";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0501073";"GLys_M_pct";"GLYS_pct";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000967";"Grain lysine content";"Quality traits";"Lysine content of the kernel/grain.";;"GLys";;"Grain";"Lysine content";;;"CO_321:0500170";"GLys Protein Measurement";"Measurement";"Lysine in the grain, expressed as percent of protein.";;;"CO_321:0000410";"%";"Numerical";1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501074";"GMagn_M_ppm";"GRNMAGN_ppm";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500032";"Grain Magnesium content";"Quality traits";"Content of Magnesium in grain.";;"GMagn";"GRNMAGN";"Grain";"Magnesium content";;;"CO_321:0500171";"GMagnesium Measurement";"Measurement";"Standard method for grain magnesium content.";;;"CO_321:0000425";"ppm";"Numerical";1;1;15;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501075";"GMang_M_ppm";"GRNMANG_ppm";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500033";"Grain Manganese content";"Quality traits";"Content Manganese in grain.";;"GMang";"GRNMANG";"Grain";"Manganese content";;;"CO_321:0500172";"GManganese Measurement";"Measurement";"Standard method for grain manganese content.";;;"CO_321:0000425";"ppm";"Numerical";1;1;15;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501076";"GMoly_M_ppm";"GRNMOLY_ppm";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500034";"Grain Molybdenum content";"Quality traits";"Content of Molybdenum in grain.";;"GMoly";"GRNMOLY";"Grain";"Molybdenum content";;;"CO_321:0500173";"GMolybdenum Measurement";"Measurement";"Standard method for grain molybdenum content.";;;"CO_321:0000425";"ppm";"Numerical";1;1;15;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -581,7 +580,6 @@ ;"CO_321:0501084";"GW_Calc_mg";"GW_mg";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000025";"Grain weight";"Agronomical traits";"Grain weight usually expressed as weight of single, one hundred, two hundred or thousand grains.";"kernel weight";"GW";"GrnWt, GrnW, KW, KrnWt";"Grain";"Weight";;;"CO_321:0500228";"SKCS Computation";"Computation";"Grain weight using the single kernel characterization system 4100 (SKCS, Perten Instruments, Huddinge, Sweden).";;;"CO_321:0500525";"mg";"Numerical";1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501085";"GW_E_g";"GW_g";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000025";"Grain weight";"Agronomical traits";"Grain weight usually expressed as weight of single, one hundred, two hundred or thousand grains.";"kernel weight";"GW";"GrnWt, GrnW, KW, KrnWt";"Grain";"Weight";;;"CO_321:0500183";"GY 10 Spikes Estimation";"Estimation";"Grain yield expressed in kilograms per hectare, measured from ten spikes on the main tillers.";;;"CO_321:0000804";"kg/ha";"Numerical";0;0;20000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501086";"GW_E_g1000grn";"TGW_MAIN, TKW_MAIN, THOUWT_MAIN, TGW_MAIN_g";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000025";"Grain weight";"Agronomical traits";"Grain weight usually expressed as weight of single, one hundred, two hundred or thousand grains.";"kernel weight";"GW";"GrnWt, GrnW, KW, KrnWt";"Grain";"Weight";;;"CO_321:0500181";"GW 30 Spikes Estimation";"Estimation";"Weight of seeds from 30 wheat spikes.";;;"CO_321:0001593";"g";"Numerical";1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;"CO_321:0501087";"GWid_M_mm";"GWID_mm";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500038";"Grain Width";"Morphological traits";"Width of grain";;"GWid";;"Grain";"Grain width";;;"CO_321:0500178";"Grain Width Measurement";"Measurement";"Grain width analysis using the single kernel characterization system 4100 (SKCS, Perten Instruments, Huddinge, Sweden)";;;"CO_321:0000428";"mm";"Numerical";1;2;40;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501088";"GY_E_kgha";"GY_MAIN_kgha";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000013";"Grain yield";"Agronomical traits";"Amount (weight) of grains that was harvested.";;"GY";"GrnYld, Yld";"Grain";"Yield";;;"CO_321:0500180";"GW 10 Spikes Estimation";"Estimation";"Seed size estimated by weighing 1000 seeds from ten spikes on the main tillers.";;;"CO_321:0001033";"g/1000 grain";"Numerical";1;20;70;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501089";"HesFlyDmg_B_E_0to9";"HESFDMG_B_0_9__RESP";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000088";"Hessian fly damage";"Biotic stress traits";"The plant damage caused by hessian fly, Maytiola destructor.";;"HesFlyDmg";"HESFDMG";"Plant";"Hessian fly damage";;;"CO_321:0500184";"HesFlyDmg BiotypeB Estimation";"Estimation";"Plant response to hessian fly biotype B";;;"CO_321:0000446";"0-9 percentage scale";"Ordinal";1;;;;"0= No visible affection";"3= 30% coverage";"4= 40% coverage";"1= 10% coverage";"2= 20% coverage";"7= 70% coverage";"8= 80% coverage";"5= 50% coverage";"6= 60% coverage";"9= 90% coverage";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501090";"HesFlyDmg_C_E_0to9";"HESFDMG_C_0_9__RESP";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000088";"Hessian fly damage";"Biotic stress traits";"The plant damage caused by hessian fly, Maytiola destructor.";;"HesFlyDmg";"HESFDMG";"Plant";"Hessian fly damage";;;"CO_321:0500185";"HesFlyDmg BiotypeC Estimation";"Estimation";"Plant response to hessian fly biotype C";;;"CO_321:0000446";"0-9 percentage scale";"Ordinal";1;;;;"0= No visible affection";"3= 30% coverage";"4= 40% coverage";"1= 10% coverage";"2= 20% coverage";"7= 70% coverage";"8= 80% coverage";"5= 50% coverage";"6= 60% coverage";"9= 90% coverage";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; @@ -639,6 +637,38 @@ ;"CO_321:0501154";"StmSol_E_5to25";"STMSOL_5_25";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000061";"Stem solidness";"Morphological traits";"Solidness of stem.";"Culm solidness";"StmSol";;"Stem";"Solidness";;;"CO_321:0000283";"StmSol Estimation";"Estimation";"Standard method for stem solidness.";;;"CO_321:0500522";"5-25 5 Stem Solidness Rating";"Ordinal";1;5;25;;"5= All 5 Stems Hollow";"6=";"7=";"8=";"9=";"10=";"11=";"12=";"13=";"14=";"15=";"16=";"17=";"18=";"19=";"20=";"21=";"22=";"23=";"24=";"25= All 5 Stems Solid";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501155";"VegPrt_M_pct";"VEGPRT_pct";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500056";"Vegetative protein content at maturity";"Quality traits";"Protein concentration of vegetative biomass harvested at physiological maturity";;"VegPrt";;"Plant";"Vegetative protein";;;"CO_321:0500237";"Vegetative Protein Measurement";"Measurement";"Protein concentration of vegetative biomass harvested at physiological maturity";;;"CO_321:0000410";"%";"Numerical";1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501156";"CanopySen_Avg_M_pct";"CANOPYSEN_AVG_pct";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"03-Feb-19";"EN";"Wheat";"CO_321:0500003";"Canopy senescence";"Physiological traits";"Percentage (%) of leaf area (canopy) that has lost green color during the process of physiological maturity";;"CanopySen";;"Canopy";"Canopy Senescence";;;"CO_321:0500238";"Canopy Senescence Measurement - Average";"Measurement";"Percentage (%) of leaf area (canopy) that has lost green color during the process of physiological maturity - average of observations.";;;"CO_321:0000410";"%";"Numerical";1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501157;PstriInf_E_0to9;PSTRI_0_9__INF;Trial evaluation;;;;T3;Jean-Luc Jannink;9-Oct-19;EN;Wheat;CO_321:0500057;Stripe rust infection type;Biotic stress traits;Stripe rust (yellow rust) infection type in the plants caused by the agent Puccinia striiformis f.sp. tritici.;;PstriInf;YRustInf;Plant;Stripe rust infection;;;CO_321:0500239;PstriInf Estimation;Estimation;Estimation of the stripe rust infection type on a 0-9 scale (0 = no visible signs or symptom, 1 = necrotic and/or chlorotic flecks with no sporulation, 2 = Necrotic and/or chlorotic blotches or stripes with no sporulation, 3 = Necrotic and/or chlorotic blotches or stripes with trace sporulation , 4 = Necrotic and/or chlorotic blotches or stripes with light sporulation, 5 = Necrotic and/or chlorotic blotches or stripes with intermediate sporulation, 6 = Necrotic and /or chlorotic blotches or stripes with moderate sporulation, 7 = Necrotic and/or chlorotic blotches or stripes with abundant sporulation, 8 = Chlorosis behind sporulating areas with abundant sporulation, 9 = No necrosis or chlorosis with abundant sporulation);;;CO_321:0000466;0-9 Mc Neal scale;Ordinal;1;;;;I/0= immune;LM/1= light moderate;LMS/2= light moderate susceptible;M/3= moderate;MR/4= moderately resistant;MS/5= moderate susceptible;R/6= resistant;S/7= susceptible;VR/8= very resistance;VS/9= very susceptible;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501158;ISBM_E_g;ISBM_g;Trial evaluation;;;;T3;Jean-Luc Jannink;10-Oct-19;EN;Wheat;CO_321:0000393;In-season aboveground biomass;Agronomical traits;All above-ground biomass at any developmental stage and/or at regular intervals from the emergence to physiological maturity.;;ISBM;;Plant;Aboveground biomass In-season;;;CO_321:0000229;BM Measurement;Measurement;Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.;;Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012;CO_321:0001593;g;Numerical;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501159;BM_E_g;BM_g;Trial evaluation;;;;T3;Jean-Luc Jannink;10-Oct-19;EN;Wheat;CO_321:0000005;Aboveground biomass at maturity;Agronomical traits;All above-ground biomass at maturity.;Biological yield;BM;AGBM, BMMat, BIOMAS;Plant;Aboveground biomass at maturity;;;CO_321:0000229;BM Measurement;Measurement;Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.;;Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012;CO_321:0001593;g;Numerical;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501160;GFR_Calc_kghaday;GFR_kghaday;Trial evaluation;;;;T3;Jean-Luc Jannink;11-Oct-19;EN;Wheat;CO_321:0500058;Grain filling rate;Agronomical traits;Rate of grain filling;;GFR;;Grain;Grain filling rate;;;CO_321:0500240;GFR Computation;Computation;Calculation of the grain filling rate as: grain yield (GY) / (days to physiological maturity - days to anthesis);;;CO_321:0500528;kg/ha/day;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501161;SpkFert_Calc_ratio;SPKFERT_ratio;Trial evaluation;;;;T3;Jean-Luc Jannink;11-Oct-19;EN;Wheat;CO_321:0500059;Spike fertility;Agronomical traits;Fertility of spike;;SpkFert;;Spike;Spike fertility;;;CO_321:0500241;SpkFert Computation;Computation;Calculation of the spike fertility as the ratio of the grain number/m2 to chaff weight/m2;;;CO_321:0500529;grain number/m2 : chaff weight/m2;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501162;SpkHI_Calc_index;SPKHI_index;Trial evaluation;;;;T3;Jean-Luc Jannink;11-Oct-19;EN;Wheat;CO_321:0500060;Spike harvest index;Agronomical traits;Spike harvest index;;SpkHI;;Spike;Spike harvest index;;;CO_321:0500242;SpkHI Computation;Computation;Calculation of the spike harvest index as the ratio of grain weight of 10 spikes to total spike dry weight;;;CO_321:0500530;Spike harvest index;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501163;GrnStarch_M_%;GRNSTARCH_%;Trial evaluation;;;;T3;Jean-Luc Jannink;11-Oct-19;EN;Wheat;CO_321:0500061;Grain starch content;Quality traits;Whole grain starch content;;GrnStarch;;Grain;Grain starch content;;;CO_321:0500243;GrnStarch Measurement;Measurement;Measurement of whole-grain starch content determined by NIR spectroscropy.;;;CO_321:0000410;%;Numerical;1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501164;Awns_E_AwnsCat;AWNS_cat;Trial evaluation;;;;T3;Jean-Luc Jannink;23-Mar-20;EN;Wheat;CO_321:0000027;Spike awnedness;Morphological traits;Observation of awn type whether awnless/awnletted (short awns)/awned (conspicious awns).;;Awns;;Spike;Awnedness;;;CO_321:0000248;Awns Estimation;Estimation;Standard method for awnedness.;;;CO_321:0500531;Awnedness Categorical Scale;Nominal;;;;;1= awnless;2= tip-awns (awnletted);3= bearded;4= mixed;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501165;Gcol_E_1to6;GRNCOL_1_6;Trial evaluation;;;;T3;Jean-Luc Jannink;24-Mar-20;EN;Wheat;CO_321:0000037;Grain color;Quality traits;Grain color.;Kernel color;GCol;GRNCOL;Grain;Color;;;CO_321:0000257;GCol Estimation;Estimation;Standard method for grain color.;;;CO_321:0500532;1-6 GRNCOL scale;Nominal;;;;;1= purple;2= red;3= red/white;4= white;5= white/red;6= mixed;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501166;GlmCol_E_1to4;GLMCOL_1_4;Trial evaluation;;;;T3;Jean-Luc Jannink;24-Mar-20;EN;Wheat;CO_321:0000031;Glume color;Morphological traits;Color observation on the outer glume at maturity.;;GlmCol;;Glume;Color;;;CO_321:0000251;GlmCol Estimation;Estimation;Standard method for glume color.;;;CO_321:0500533;1-4 GLMCOL scale;Nominal;;;;;1= white;2= red to brown;3= purple to black;4= mixed;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501167;PgramInf_QFCSC_E_0to9;PGRAM_QFCSC_0_9__INF;Trial evaluation;;;;T3;Jean-Luc Jannink;24-Mar-20;EN;Wheat;CO_321:0500062;Stem rust plant infection type;Biotic stress traits;Stem rust (black rust) infection type exhibited by adult plants.;;PgramInf;;Plant;Stem rust infection type;;;CO_321:0500244;Rust Infection Type QFCSC Estimation;Estimation;Infection phenotype of pustules on upper stems of adult plants inoculated with stem rust (Puccinia graminis f. sp. tritici) race QFCSC;;Zhang et al, 2014;CO_321:0500514;0-9 Linearized Stakman Scale Rating;Numerical;1;0;9;;0= 0;1= 1-;2= 1;3= 1+;4= 2-;5= 2;6= 2+;7= 3-;8= 3;9= 3+/4;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501168;BMWResp_E_0to9;BMW_0_9__RESP;Trial evaluation;;;;T3;Jean-Luc Jannink;29-May-20;EN;Wheat;CO_321:0500063;Bacterial mosaic of wheat plant response;Biotic stress traits;Bacterial mosaic of wheat plant response caused by the agent Clavibacter michiganensis subsp. Tesselarius.;;BMWResp;;Plant;Bacterial mosaic of wheat plant response;;;CO_321:0500245;BMW Response Estimation;Estimation;Estimation of plant response to bacterial mosaic of wheat;;;CO_321:0500513;0-9 Response Scale;Ordinal;1;0;9;;0= resistant;1= ;2= ;3= ;4= ;5= ;6= ;7= ;8= ;9= susceptible;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501169;LASDSSRC_E_%;LASDSSRC_%;Trial evaluation;;;;T3;Jean-Luc Jannink;5-Aug-20;EN;Wheat;CO_321:0500064;Lactic Acid SDS-SRC;Quality traits;Lactic acid SDS solvent retention capacity;;LASDSSRC;;Flour;Lactic Acid SDS-SRC;;;CO_321:0500246;Lactic Acid SDS-SRC Score Estimation;Estimation;Measure of gluten strength per Seabourn et al. 2012. Typical values are below 200% for weak hard varieties, and above 240% for strong hard varieties.;;;CO_321:0000410;%;Numerical;1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501170;AgrMerit_C_1to9;AgrMerit_1_9;Trial evaluation;;;;T3;Jean-Luc Jannink;30-Nov-20;EN;Wheat;CO_321:0500065;Agronomic merit;Biotic stress traits;A computed metric based on the the weighted values of resistance to various diseases and lodging.;;AgrMerit;;Plant;Agronomic merit;;;CO_321:0500247;Agronomic Merit Computation;Computation;Computation of the agronomic merit score based on the weighted scores of resistance to various diseases and lodging;;;CO_321:0500534;1-9 Agronomic Merit Rating;Ordinal;1;1;9;;1= Low agronomic merit score;2= ;3= ;4= ;5= ;6=;7= ;8= ;9= High agronomic merit score;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501171;CanopyCov_C_UASHub_%;CANOPYCOV_UASHub_%;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0500066;Canopy cover;Agronomical traits;The percentage of green canopy cover in the plot;;CanopyCov;;Canopy;Canopy Cover;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0000410;%;Numerical;1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501172;CanopyHt_C_UASHub_%;CANOPYHT_UASHub_m;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0500067;Canopy height;Agronomical traits;The canopy height (95th percentile of plot);;CanopyHt;;Canopy;Canopy Height;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0000813;m;Numerical;2;0;2.5;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501173;CanopyHt_C_UASHub_sd;CANOPYHT_UASHub_sd;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0500067;Canopy height;Agronomical traits;The canopy height (95th percentile of plot);;CanopyHt;;Canopy;Canopy Height;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0500535;standard deviation;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501174;EGI_C_UASHub_idx;EGI_UASHub_index;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0500068;Canopy excess green index;Physiological traits;Canopy excess green index obtained from RGB images and commonly used to assess canopy efficiency and health (average of plot);;CanopyEGI;;Canopy;Canopy EGI;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0000421;index;Numerical;0;0;1000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501175;EGI_C_UASHub_sd;EGI_sUASHub_d;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0500068;Canopy excess green index;Physiological traits;Canopy excess green index obtained from RGB images and commonly used to assess canopy efficiency and health (average of plot);;CanopyEGI;;Canopy;Canopy EGI;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0500535;standard deviation;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501176;NDVI_C_UASHub_idx;NDVI_UASHub_index;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0000301;Canopy normalized difference vegetation index;Physiological traits;Normalized difference vegetation index is used to measure vegetative greenness and canopy photosynthetic size.;;NDVI;;Canopy;Normalized difference vegetation index;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0000421;index;Numerical;0;0;1000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501177;NDVI_C_UASHub_sd;NDVI_UASHub_sd;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0000301;Canopy normalized difference vegetation index;Physiological traits;Normalized difference vegetation index is used to measure vegetative greenness and canopy photosynthetic size.;;NDVI;;Canopy;Normalized difference vegetation index;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0500535;standard deviation;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501178;NDRE_C_UASHub_idx;NDRE_UASHub_index;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0500069;Canopy normalized difference red edge index;Physiological traits;Canopy normalized difference red edge index derived from multi-spectral sensors (red and NIR reflectance) and commonly used to assess canopy health (average of plot);;CanopyNDRE;;Canopy;Canopy NDRE;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0000421;index;Numerical;0;0;1000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501179;NDRE_C_UASHub_sd;NDRE_UASHub_sd;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Mar-22;EN;Wheat;CO_321:0500069;Canopy normalized difference red edge index;Physiological traits;Canopy normalized difference red edge index derived from multi-spectral sensors (red and NIR reflectance) and commonly used to assess canopy health (average of plot);;CanopyNDRE;;Canopy;Canopy NDRE;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0500535;standard deviation;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501180;NDVI_C_WGRC_idx;NDVI_WGRC_index;Trial evaluation;;;;T3;Jean-Luc Jannink;23-Aug-22;EN;Wheat;CO_321:0000301;Canopy normalized difference vegetation index;Physiological traits;Normalized difference vegetation index is used to measure vegetative greenness and canopy photosynthetic size.;;NDVI;;Canopy;Normalized difference vegetation index;;;CO_321:0500249;WGRC NDVI Computation;Computation;Computation of the derived trait index from drone imagery by Kansas State Wheat Genetics Resource Center. NDVI = (IR-R)/(IR+R).;;;CO_321:0000421;index;Numerical;0;0;1000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501181;NDRE_C_WGRC_idx;NDRE_WGRC_index;Trial evaluation;;;;T3;Jean-Luc Jannink;23-Aug-22;EN;Wheat;CO_321:0500069;Canopy normalized difference red edge index;Physiological traits;Canopy normalized difference red edge index derived from multi-spectral sensors (red and NIR reflectance) and commonly used to assess canopy health (average of plot);;CanopyNDRE;;Canopy;Canopy NDRE;;;CO_321:0500250;WGRC NDRE Computation;Computation;Computation of the derived trait index from drone imagery by Kansas State Wheat Genetics Resource Center. NDRE = (IR-RE)/(IR+RE).;;;CO_321:0000421;index;Numerical;0;0;1000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501182;GNDVI_C_WGRC_idx;GNDVI_WGRC_index;Trial evaluation;;;;T3;Jean-Luc Jannink;23-Aug-22;EN;Wheat;CO_321:0000961;Canopy green normalized difference vegetation index;Physiological traits;Normalized difference vegetation index is used to measure vegetative greenness and canopy photosynthetic size.;;GNDVI;;Canopy;Normalized difference vegetation index;;;CO_321:0500251;WGRC GNDVI Computation;Computation;Computation of the derived trait index from drone imagery by Kansas State Wheat Genetics Resource Center. GNDVI = (IR-G)/(IR+G).;;;CO_321:0000421;index;Numerical;0;0;1000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501183;CV_C_UASHub_m3;CV_UASHub_m3;Trial evaluation;;;;T3;Jean-Luc Jannink;23-Aug-22;EN;Wheat;CO_321:0500070;Crop volume;Agronomical traits;Measurement of crop volume using canopy height and ground cover;;CropVolume;;Canopy;Crop Volume;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0500536;m3;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501184;CV_C_UASHub_sd;CV_UASHub_sd;Trial evaluation;;;;T3;Jean-Luc Jannink;23-Aug-22;EN;Wheat;CO_321:0500070;Crop volume;Agronomical traits;Measurement of crop volume using canopy height and ground cover;;CropVolume;;Canopy;Crop Volume;;;CO_321:0500248;UASHub Trait Computation;Computation;Computation of the derived trait from drone imagery by Texas A&M UASHub;;;CO_321:0500535;standard deviation;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501185;GrnAsh_M_AACC_pct;GRNASH_AACC_pct;Trial evaluation;;;;T3;Jean-Luc Jannink;14-Oct-22;EN;Wheat;CO_321:0500025;Grain ash content;Quality traits;Grain ash concentration;;GrnAsh;;Grain;Grain ash;;;CO_321:0500252;Grain Ash Measurement - Flour Combustion;Measurement;Measurement of percent ash using flour combustion method (AACC Method 08-01).;;;CO_321:0000410;%;Numerical;1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501186;CanopyTemp_HH_M_c;CANOPYTEMP_HH_c;Trial evaluation;;;;T3;Jean-Luc Jannink;08-Nov-22;EN;Wheat;CO_321:0000193;Canopy temperature;Physiological traits;The surface temperature of the canopy is related to the amount of transpiration resulting in evaporative cooling.;;CT;CanoTemp, CanTemp;Canopy;Temperature;;;CO_321:0500253;CanopyTemp HH Measurement;Measurement;Canopy temperature measured using a hand-held infrared thermometer.;;;CO_321:0500523;celcius;Numerical;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501187;CanopyTemp_UAS_M_c;CANOPYTEMP_UAS_c;Trial evaluation;;;;T3;Jean-Luc Jannink;08-Nov-22;EN;Wheat;CO_321:0000193;Canopy temperature;Physiological traits;The surface temperature of the canopy is related to the amount of transpiration resulting in evaporative cooling.;;CT;CanoTemp, CanTemp;Canopy;Temperature;;;CO_321:0500254;CanopyTemp UAS Measurement;Measurement;Canopy temperature measured remotely using an infrared drone camera.;;;CO_321:0500523;celcius;Numerical;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501188;PlntStnd_E_1to4;PLNTSTND_1_4;Trial evaluation;;;;T3;Jean-Luc Jannink;17-nov-22;EN;Wheat;CO_321:0000187;Plant stand;Agronomical traits;Plant population or plant density.;Plant establishment, Crop stand, Plant density, Plant population;PlntStnd;PStand;Plant;Stand;;;CO_321:0500202;PlntStnd Estimation;Estimation;Estimation of the number of living plants.;;;CO_321:0500537;1-4 density scale;Ordinal;1;;;;1= 25%;2= 50%;3= 75%;4= 100%;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:1000003";"ABSN.Z65.Z92_kg/ha";"Post-anthesis nitrogen absorption";;"Z92 (Grain hard, not dented by thumbnail)";;"WIPO:0000003";"INRAE";"Jacques Le Gouis";"15/06/2016";"EN";"Wheat";"CO_321:1010001";"Post-anthesis nitrogen absorption ";"Agronomical";;;;"PANU";"plant";"nitrogen";;;"CO_321:1020027";"ABSN.Z92 - ABSN.Z65";"Computation";;"(ABSN.Z92 - ABSN.Z65)";;"UO:0000283";"kg/ha";"Numerical";;;;"http://purl.obolibrary.org/obo/UO_0000283";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:1000004";"AE_score";"Anther extrusion";;;;"WIPO:0000004";"INRAE";"Jacques Le Gouis";"15/06/2016";"EN";"Wheat";"CO_321:1010002";"Anther extrusion";"Morphological";;;;;"Anther";"extrusion";;;"CO_321:1021083";"Score estimation";"Estimation";"Score estimation";;;"CO_321:1030002";"1 to 5 note";"Ordinal";;;;;"1=weak extrusion";"5=strong extrusion";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:1000005";"A-F0(<=10)_%";"Grain with area inferior to 10mm2";;"Z92 (Grain hard, not dented by thumbnail)";;"WIPO:0000005";"INRAE";"Jacques Le Gouis";"15/06/2016";"EN";"Wheat";"CO_321:1010003";"Grain area";"Morphological";;;;;"grain";"area";;;"CO_321:1021082";"Automated grain physical analysis";"Measurement";"Unavailable method description";;;"UO:0000187";"%";"Numerical";;;;"http://purl.obolibrary.org/obo/UO_0000187";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; From f13f177602b0b1e71f4eab3a4a32011b575dd13f Mon Sep 17 00:00:00 2001 From: David Waring Date: Tue, 28 Feb 2023 14:40:21 -0500 Subject: [PATCH 3/3] Remove incorrect Mc Neal scale integer assignments --- wheat_TD.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/wheat_TD.csv b/wheat_TD.csv index a7de2f2..f507742 100644 --- a/wheat_TD.csv +++ b/wheat_TD.csv @@ -637,7 +637,7 @@ ;"CO_321:0501154";"StmSol_E_5to25";"STMSOL_5_25";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0000061";"Stem solidness";"Morphological traits";"Solidness of stem.";"Culm solidness";"StmSol";;"Stem";"Solidness";;;"CO_321:0000283";"StmSol Estimation";"Estimation";"Standard method for stem solidness.";;;"CO_321:0500522";"5-25 5 Stem Solidness Rating";"Ordinal";1;5;25;;"5= All 5 Stems Hollow";"6=";"7=";"8=";"9=";"10=";"11=";"12=";"13=";"14=";"15=";"16=";"17=";"18=";"19=";"20=";"21=";"22=";"23=";"24=";"25= All 5 Stems Solid";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501155";"VegPrt_M_pct";"VEGPRT_pct";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"21-dec-18";"EN";"Wheat";"CO_321:0500056";"Vegetative protein content at maturity";"Quality traits";"Protein concentration of vegetative biomass harvested at physiological maturity";;"VegPrt";;"Plant";"Vegetative protein";;;"CO_321:0500237";"Vegetative Protein Measurement";"Measurement";"Protein concentration of vegetative biomass harvested at physiological maturity";;;"CO_321:0000410";"%";"Numerical";1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;"CO_321:0501156";"CanopySen_Avg_M_pct";"CANOPYSEN_AVG_pct";"Trial evaluation";;;;"T3";"Jean-Luc Jannink";"03-Feb-19";"EN";"Wheat";"CO_321:0500003";"Canopy senescence";"Physiological traits";"Percentage (%) of leaf area (canopy) that has lost green color during the process of physiological maturity";;"CanopySen";;"Canopy";"Canopy Senescence";;;"CO_321:0500238";"Canopy Senescence Measurement - Average";"Measurement";"Percentage (%) of leaf area (canopy) that has lost green color during the process of physiological maturity - average of observations.";;;"CO_321:0000410";"%";"Numerical";1;0;100;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; -;CO_321:0501157;PstriInf_E_0to9;PSTRI_0_9__INF;Trial evaluation;;;;T3;Jean-Luc Jannink;9-Oct-19;EN;Wheat;CO_321:0500057;Stripe rust infection type;Biotic stress traits;Stripe rust (yellow rust) infection type in the plants caused by the agent Puccinia striiformis f.sp. tritici.;;PstriInf;YRustInf;Plant;Stripe rust infection;;;CO_321:0500239;PstriInf Estimation;Estimation;Estimation of the stripe rust infection type on a 0-9 scale (0 = no visible signs or symptom, 1 = necrotic and/or chlorotic flecks with no sporulation, 2 = Necrotic and/or chlorotic blotches or stripes with no sporulation, 3 = Necrotic and/or chlorotic blotches or stripes with trace sporulation , 4 = Necrotic and/or chlorotic blotches or stripes with light sporulation, 5 = Necrotic and/or chlorotic blotches or stripes with intermediate sporulation, 6 = Necrotic and /or chlorotic blotches or stripes with moderate sporulation, 7 = Necrotic and/or chlorotic blotches or stripes with abundant sporulation, 8 = Chlorosis behind sporulating areas with abundant sporulation, 9 = No necrosis or chlorosis with abundant sporulation);;;CO_321:0000466;0-9 Mc Neal scale;Ordinal;1;;;;I/0= immune;LM/1= light moderate;LMS/2= light moderate susceptible;M/3= moderate;MR/4= moderately resistant;MS/5= moderate susceptible;R/6= resistant;S/7= susceptible;VR/8= very resistance;VS/9= very susceptible;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; +;CO_321:0501157;PstriInf_E_0to9;PSTRI_0_9__INF;Trial evaluation;;;;T3;Jean-Luc Jannink;9-Oct-19;EN;Wheat;CO_321:0500057;Stripe rust infection type;Biotic stress traits;Stripe rust (yellow rust) infection type in the plants caused by the agent Puccinia striiformis f.sp. tritici.;;PstriInf;YRustInf;Plant;Stripe rust infection;;;CO_321:0500239;PstriInf Estimation;Estimation;Estimation of the stripe rust infection type on a 0-9 scale (0 = no visible signs or symptom, 1 = necrotic and/or chlorotic flecks with no sporulation, 2 = Necrotic and/or chlorotic blotches or stripes with no sporulation, 3 = Necrotic and/or chlorotic blotches or stripes with trace sporulation , 4 = Necrotic and/or chlorotic blotches or stripes with light sporulation, 5 = Necrotic and/or chlorotic blotches or stripes with intermediate sporulation, 6 = Necrotic and /or chlorotic blotches or stripes with moderate sporulation, 7 = Necrotic and/or chlorotic blotches or stripes with abundant sporulation, 8 = Chlorosis behind sporulating areas with abundant sporulation, 9 = No necrosis or chlorosis with abundant sporulation);;;CO_321:0000466;0-9 Mc Neal scale;Ordinal;1;;;;"I= immune";"MR= moderately resistant";"LM= light moderate";"VR= very resistance";"R= resistant";"LMS= light moderate susceptible";"S= susceptible";"M= moderate";"MS= moderate susceptible";"VS= very susceptible";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;CO_321:0501158;ISBM_E_g;ISBM_g;Trial evaluation;;;;T3;Jean-Luc Jannink;10-Oct-19;EN;Wheat;CO_321:0000393;In-season aboveground biomass;Agronomical traits;All above-ground biomass at any developmental stage and/or at regular intervals from the emergence to physiological maturity.;;ISBM;;Plant;Aboveground biomass In-season;;;CO_321:0000229;BM Measurement;Measurement;Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.;;Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012;CO_321:0001593;g;Numerical;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;CO_321:0501159;BM_E_g;BM_g;Trial evaluation;;;;T3;Jean-Luc Jannink;10-Oct-19;EN;Wheat;CO_321:0000005;Aboveground biomass at maturity;Agronomical traits;All above-ground biomass at maturity.;Biological yield;BM;AGBM, BMMat, BIOMAS;Plant;Aboveground biomass at maturity;;;CO_321:0000229;BM Measurement;Measurement;Cut all aboveground biomass in a predetermined area (A). Avoid border effects by sampling away from edges of plot. Biomass as other yield components can be calculated or measured individually (Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012), decide which method suit better for your objectives.;;Bell and Fischer, 1994, Reynolds et al., 2001, Pask et al., 2012;CO_321:0001593;g;Numerical;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;CO_321:0501160;GFR_Calc_kghaday;GFR_kghaday;Trial evaluation;;;;T3;Jean-Luc Jannink;11-Oct-19;EN;Wheat;CO_321:0500058;Grain filling rate;Agronomical traits;Rate of grain filling;;GFR;;Grain;Grain filling rate;;;CO_321:0500240;GFR Computation;Computation;Calculation of the grain filling rate as: grain yield (GY) / (days to physiological maturity - days to anthesis);;;CO_321:0500528;kg/ha/day;Numerical;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;