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Crop types of the Yaqui Valley during the 2016-17 winter growing season
Dec 16, 2021
Schulthess, Urs; Ortíz-Monasterio Rosas, José Iván, 2021, "Crop types of the Yaqui Valley during the 2016-17 winter growing season", https://hdl.handle.net/11529/10548637, CIMMYT Research Data & Software Repository Network, V1
Our study region is located in the northwest of Mexico, in the Yaqui Valley, where most farmers predominantly grow crops under irrigated conditions during the winter months. Sowing typically starts in late October. Dry bean is one of the first crops to be sown (Table 1). Wheat, t...
Yaqui2017_CropTypes_20211215.CPG
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
Unknown - 5 B - MD5: ae3b3df9970b49b6523e608759bc957d
Yaqui2017_CropTypes_20211215.dbf
Dec 16, 2021 - Crop types of the Yaqui Valley during the 2016-17 winter growing season
dBASE Table for ESRI Shapefile - 426.2 KB - MD5: f1e52250f63299c0c1f2e9a4995598ca
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
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...
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