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4,891 to 4,900 of 13,434 Results
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
Genotype.gz
Dec 3, 2021 - Genotypic data for the IND100&BGD100 panel
Gzip Archive - 852.3 KB - MD5: 5dd7357bf8d563866a88b7ca3f44ce37
DataGenotypic data
IND100&BGD100_Genotypic_data_readme.txt
Dec 3, 2021 - Genotypic data for the IND100&BGD100 panel
Plain Text - 1.2 KB - MD5: f76106a77db25983194c69aacb705977
Water use and grain yield with conservation agriculture and conventional tillage under furrow and drip irrigation for maize and barley in the Mexico Bajío
Nov 22, 2021 - CIMMYT Research Data
Verhulst, Nele; Fonteyne, Simon; Flores Garcia, Álvaro, 2021, "Water use and grain yield with conservation agriculture and conventional tillage under furrow and drip irrigation for maize and barley in the Mexico Bajío", https://hdl.handle.net/11529/10548578, CIMMYT Research Data & Software Repository Network, V2
The database contains data about water use in barley (Hordeum vulgare) and maize (Zea Mays) production in the Mexican Bajío. Water use and grain yield were evaluated under conventional tillage and under conservation agriculture in permanent raised beds, both under furrow irrigati...
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