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361 to 370 of 1,196 Results
37 ESWYT_Loc_data.xls
Feb 7, 2019 - 37th Elite Spring Wheat Yield Trial
MS Excel Spreadsheet - 7.6 KB - MD5: b0e50e2554bbb26aff911b8878e132a2
IWIN Summarized Data
Institution, Cooperator and Location where the nurseries were evaluated
37 ESWYT_MeanVal.xls
Feb 7, 2019 - 37th Elite Spring Wheat Yield Trial
MS Excel Spreadsheet - 3.2 MB - MD5: fafe402a13e080822cf60848fd92df6d
IWIN Summarized Data
Means of phenotypic data values for traits across locations, arrangement by row
37 ESWYT_RawData.xls
Feb 7, 2019 - 37th Elite Spring Wheat Yield Trial
MS Excel Spreadsheet - 8.0 MB - MD5: 11044874933e6ae2857dff4b90b76d0a
IWIN Raw Data
Phenotypic traits raw data for all locations
37ESWYT-Empty FieldBook.7z
Feb 7, 2019 - 37th Elite Spring Wheat Yield Trial
7Z Archive - 70.5 KB - MD5: cf550ebec733b19b1fd15cd5b1eacd34
Fieldbook
An empty Fieldbook designed for collecting trial data
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
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