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1,761 to 1,770 of 1,864 Results
Y.zip.gz
Feb 27, 2019 - Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments
Gzip Archive - 456.8 KB - MD5: 190e6b29d2440ad5f82c242430f91276
Y.rda file
Hyperspecdata_PlosOne_Final.zip.gz
Feb 17, 2019 - Replication Data for: Estimation of Physiological Genomic Estimated Breeding Values (PGEBV) Combining full Hyperspectral and Marker Data Across Environments for Grain Yield Under Combined Heat and Drought Stress in Tropical Maize (Zea mays L.)
Gzip Archive - 2.0 MB - MD5: 0bdf88c932b43066e9e81c46e013de84
This file includes phenotypic and genotypic data and a data dictionary
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
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
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