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4,421 to 4,430 of 12,335 Results
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
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
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
DAT-PUB-Irrigation_CA_CT-Guanajuato-v2.xlsx
Nov 22, 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
MS Excel Spreadsheet - 80.1 KB - MD5: 70b357539f6c00a07e7394e687153f95
Updated version of dataset, including more detailed data from farmers fields
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