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9,151 to 9,160 of 12,513 Results
29ESWYT_MeanVal.xls
Feb 6, 2019 - 29th Elite Spring Wheat Yield Trial
MS Excel Spreadsheet - 1.8 MB - MD5: d1e42708ada1096e9a13cbe14376a1d9
IWIN Summarized Data
Means of phenotypic data values for traits across locations, arrangement by row
29ESWYT_RawData.xls
Feb 6, 2019 - 29th Elite Spring Wheat Yield Trial
MS Excel Spreadsheet - 4.1 MB - MD5: 1556589de9ceb1e09d0f677d5166f252
IWIN Raw Data
Phenotypic traits raw data for all locations
Krause_et_al_2018_Genotypes.csv.gz
Feb 1, 2019 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
Gzip Archive - 8.4 MB - MD5: 64daaed47e4728db694af789a77d337f
Genotypic data
Krause_et_al_2018_Hyper_BLUEs_Growth_Stages_VEG_HEAD_GF_ALL.csv.gz
Feb 1, 2019 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
Gzip Archive - 22.3 MB - MD5: b588cd4f65beea2ba42a971f95089a5d
Krause_et_al_2018_Hyper_BLUEs_Individual_Time_Points.csv.gz
Feb 1, 2019 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
Gzip Archive - 52.4 MB - MD5: 40bcf20e789af1bb8189ec65f30e8626
Krause_et_al_2018_Pedigree.csv.gz
Feb 1, 2019 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
Gzip Archive - 12.4 MB - MD5: 6e47b8ef93bbb528ba329049b9076bf4
Krause_et_al_2018_Yield_BLUEs.csv.gz
Feb 1, 2019 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
Gzip Archive - 218.8 KB - MD5: 10f4f07653e7e8617e877d62c9b34f6c
Krause_et_al_2018_Yield_iid_BLUPs.csv.gz
Feb 1, 2019 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
Gzip Archive - 214.2 KB - MD5: ce9e28205376b9eda7d27cc96995f8aa
Krause_et_al_2018_Yield_iid_BLUPs_DTHD.csv.gz
Feb 1, 2019 - Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
Gzip Archive - 212.2 KB - MD5: a0d25c249b2627303fb6354bd9b6716d
Sustainable Wheat & Maize Production in Afghanistan
Jan 30, 2019 - CIMMYT Research Data
Dreisigacker, Susanne; Sharma, Rajiv Kumar; Huttner, Eric; Karimov, Aziz; Singh, Pawan; Sansaloni, Carolina; Shrestha, Rosemary; Sonder, Kai; Braun, Hans-Joachim, 2019, "Sustainable Wheat & Maize Production in Afghanistan", https://hdl.handle.net/11529/10548167, CIMMYT Research Data & Software Repository Network, V1
Since 2012, Australian support has resulted in the release of 23 wheat varieties by Afghanistan’s National Varietal Release Committee (NVRC). These varieties deliver both improved yield and disease tolerance. A 2015/16 farmer survey confirmed that farmers were indeed sharing seed...
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