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4,761 to 4,770 of 12,513 Results
Yaqui2017_CropTypes_20211215.prj
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
ESRI Shapefile - 403 B - MD5: 4c991c1c8821aa7684ad21a34d769c8c
Yaqui2017_CropTypes_20211215.sbn
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
ESRI Spatial Index - 61.1 KB - MD5: 988df612b365503f528c9d0adff8b6e8
Yaqui2017_CropTypes_20211215.sbx
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
ESRI Spatial Index - 5.2 KB - MD5: c0b11abbbd02339e0772579ce6ac7647
Yaqui2017_CropTypes_20211215.shp
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
Shape - 968.7 KB - MD5: 1d36dd064e6785667aca7fba2043e9e0
Yaqui2017_CropTypes_20211215.shp.xml
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
XML - 27.5 KB - MD5: 9e6a2cf57e5b708cbca844bb375fa948
Yaqui2017_CropTypes_20211215.shx
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
Shape - 48.1 KB - MD5: aa24a6cb0379022d0d108bd8c776453f
Replication Data for: Sparse kernel models provide optimization of training set design for genome-based prediction in multi-year wheat breeding data
Dec 3, 2021 - CIMMYT Research Data
Lopez-Cruz, Marco; Dreisigacker, Susanne; Crespo-Herrera, Leonardo; Bentley, Alison R.; Singh, Ravi; Mondal, Suchismita; Perez-Rodriguez, Paulino; Crossa, Jose, 2021, "Replication Data for: Sparse kernel models provide optimization of training set design for genome-based prediction in multi-year wheat breeding data", https://hdl.handle.net/11529/10548635, CIMMYT Research Data & Software Repository Network, V1
When genomic selection (GS) is used in breeding schemes, data from multiple generations can provide opportunities to increase sample size and thus the likelihood of extracting useful information from the training data. The Sparse Selection Index (SSI), is is a method for optimizi...
geno_clean.RData
Dec 3, 2021 - Replication Data for: Sparse kernel models provide optimization of training set design for genome-based prediction in multi-year wheat breeding data
R Data - 66.4 MB - MD5: 550d81fe28e3f8c74e7c511eeeb5f7c8
pheno_adjusted.RData
Dec 3, 2021 - Replication Data for: Sparse kernel models provide optimization of training set design for genome-based prediction in multi-year wheat breeding data
R Data - 204.0 KB - MD5: 3151877174ccecf0f3fe442113c85aa2
Genotypic data for the IND100&BGD100 panel
Dec 3, 2021 - CIMMYT Research Data
He, Xinyao; Singh, Pawan; Kabir, Muhammad Rezaul; Joshi, Arun K.; Singh, Gyanendra P., 2021, "Genotypic data for the IND100&BGD100 panel", https://hdl.handle.net/11529/10548634, CIMMYT Research Data & Software Repository Network, V1
GBS genotypic data for the IND100&BGD100 panel
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