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CIMMYT institutional network of scientific datasets and software repositories.

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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

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