CIMMYT Research Data & Software Repository Network

Share Dataverse

Share this dataverse on your favorite social media networks.

Metrics

59,757 Downloads

CIMMYT institutional network of scientific datasets and software repositories.

Featured Repositories

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

Publish Dataverse

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

Cannot 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.

1 to 10 of 3,616 Results

File Krause_et_al_2018_Genotypes.tab Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication Tabular Data - 46.3 MB - 8520 Variables, 3771 Observations - UNF: UNF:6:1WEjb9ZNOCMOw48bJ1m5wQ== Genotypic dataset
File Krause_et_al_2018_Hyper_BLUEs_Growth_Stages_VEG_HEAD_GF_ALL.tab Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication Tabular Data - 50.0 MB - 66 Variables, 65271 Observations - UNF: UNF:6:puTrJF+PQ1e1bbXiXoV39w==
File Krause_et_al_2018_Hyper_BLUEs_Individual_Time_Points.tab Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication Tabular Data - 113.4 MB - 66 Variables, 133639 Observations - UNF: UNF:6:fcDfkrDqB2Rpv4MwTDDNtg==
File Krause_et_al_2018_Pedigree.tab Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication Tabular Data - 103.0 MB - 3772 Variables, 3771 Observations - UNF: UNF:6:cCAni4LMrlOxCYaNEYIS9g==
File Krause_et_al_2018_Yield_BLUEs.tab Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication Tabular Data - 907.6 KB - 4 Variables, 18855 Observations - UNF: UNF:6:Ta3w/8pfWL/ipCvaIAdbZQ==
File Krause_et_al_2018_Yield_iid_BLUPs_DTHD_Corrected.tab Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication Tabular Data - 899.5 KB - 4 Variables, 18855 Observations - UNF: UNF:6:VScATtCJHufa3GPc7gzpIw==
File Krause_et_al_2018_Yield_iid_BLUPs.tab Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication Tabular Data - 907.6 KB - 4 Variables, 18855 Observations - UNF: UNF:6:43gkDaVmj6xWdJGlipLY+A==
File 32ESWYT.xls Aug 6, 2018 - 32nd Elite Selection Wheat Yield Trial MS Excel - 621.5 KB - MD5: 8f1289f2f2d440153feb473552f6c49b Means of phenotypic data values for traits
File 36ESWYT-Empty FieldBook.xlsx Aug 6, 2018 - 36th Elite Selection Wheat Yield Trial File - 104.0 KB - MD5: 69669e31a379c18ee5b33c58a23cacf4 Fieldbook An empty Fieldbook designed for collecting trial data
File 36 ESWYT_EnvData.xls Aug 6, 2018 - 36th Elite Selection Wheat Yield Trial MS Excel - 415.2 KB - MD5: e37c8ccea311bb0bf473a96840bc3378 Agronomic information by location

File

Krause_et_al_2018_Genotypes.tab

Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication

Tabular Data - 46.3 MB - 8520 Variables, 3771 Observations - UNF: UNF:6:1WEjb9ZNOCMOw48bJ1m5wQ==

Genotypic dataset

File

Krause_et_al_2018_Hyper_BLUEs_Growth_Stages_VEG_HEAD_GF_ALL.tab

Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication

Tabular Data - 50.0 MB - 66 Variables, 65271 Observations - UNF: UNF:6:puTrJF+PQ1e1bbXiXoV39w==

File

Krause_et_al_2018_Hyper_BLUEs_Individual_Time_Points.tab

Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication

Tabular Data - 113.4 MB - 66 Variables, 133639 Observations - UNF: UNF:6:fcDfkrDqB2Rpv4MwTDDNtg==

File

Krause_et_al_2018_Pedigree.tab

Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication

Tabular Data - 103.0 MB - 3772 Variables, 3771 Observations - UNF: UNF:6:cCAni4LMrlOxCYaNEYIS9g==

File

Krause_et_al_2018_Yield_BLUEs.tab

Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication

Tabular Data - 907.6 KB - 4 Variables, 18855 Observations - UNF: UNF:6:Ta3w/8pfWL/ipCvaIAdbZQ==

File

Krause_et_al_2018_Yield_iid_BLUPs_DTHD_Corrected.tab

Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication

Tabular Data - 899.5 KB - 4 Variables, 18855 Observations - UNF: UNF:6:VScATtCJHufa3GPc7gzpIw==

File

Krause_et_al_2018_Yield_iid_BLUPs.tab

Aug 8, 2018 - Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat - Data for publication

Tabular Data - 907.6 KB - 4 Variables, 18855 Observations - UNF: UNF:6:43gkDaVmj6xWdJGlipLY+A==

File

32ESWYT.xls

Aug 6, 2018 - 32nd Elite Selection Wheat Yield Trial

MS Excel - 621.5 KB - MD5: 8f1289f2f2d440153feb473552f6c49b

Means of phenotypic data values for traits

File

36ESWYT-Empty FieldBook.xlsx

Aug 6, 2018 - 36th Elite Selection Wheat Yield Trial

File - 104.0 KB - MD5: 69669e31a379c18ee5b33c58a23cacf4

Fieldbook

An empty Fieldbook designed for collecting trial data

File

36 ESWYT_EnvData.xls

Aug 6, 2018 - 36th Elite Selection Wheat Yield Trial

MS Excel - 415.2 KB - MD5: e37c8ccea311bb0bf473a96840bc3378

Agronomic information by location

Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

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.