Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

7,701 to 7,710 of 10,793 Results
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
IDs_list_of_lines_in_the_study_with_GIDs.xlsx.gz
Jan 30, 2019 - Sustainable Wheat & Maize Production in Afghanistan
Gzip Archive - 84.4 KB - MD5: 572b7c611c5a01d128661ef84786b80e
DocumentationGermplasm information
DNAID and the list of lines used in the study with their Germplasm ID (GID).
17SAWYT_EnvData.xls
Jan 28, 2019 - 17th Semi-Arid Wheat Yield Trial
MS Excel Spreadsheet - 313.4 KB - MD5: 0c3411e110f2fec95919b6acebacb568
IWIN Summarized Data
Agronomic information by location
17SAWYT_Genotypes_Data.xls
Jan 28, 2019 - 17th Semi-Arid Wheat Yield Trial
MS Excel Spreadsheet - 4.5 KB - MD5: 6bc35d8da321edcce5a60be235e94189
IWIN Germplasm Data
List of genotypes included on the nursery
17SAWYT_GrnYld.xls
Jan 28, 2019 - 17th Semi-Arid Wheat Yield Trial
MS Excel Spreadsheet - 467.3 KB - MD5: cdaebdca7506bbcd80282201602a60ba
IWIN Analyzed Data
Means for Grain Yield by location
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.