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921 to 930 of 1,516 Results
DATASET 5 EYT_1.RData
Jul 13, 2022 - Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library
R Data - 4.3 MB - MD5: 35e3687d34bfe382a80d3a619e52f127
DATASET 6 EYT_2.RData
Jul 13, 2022 - Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library
R Data - 4.4 MB - MD5: 3f0052e2841fd6ec7aadd075b9fdebfc
DATASET 1 EYT_1.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 4.3 MB - MD5: 35e3687d34bfe382a80d3a619e52f127
DATASET 2 Groundnut.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 2.4 MB - MD5: de4682c07fc3b83fc88f7dcf15fdd35b
DATASET 3 Disease.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 4.9 MB - MD5: 3d71207aceb7dea5678443596b10c36e
DATASET 4 Indica.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 508.2 KB - MD5: 5026812e88b3d7ef021341315fb0bbd3
DATASET 5 Japonica.RData
Jul 4, 2022 - Replication Data for: Multi-trait genome prediction of new environments with partial least squares
R Data - 630.7 KB - MD5: 60b6210b675a452fd3caee9b0f9086e3
SparseTestingGSWheat_Data.Rdata
Mar 28, 2022 - Replication Data for: Sparse testing using genomic predication improves selection for breeding targets in elite spring wheat
Gzip Archive - 2.8 MB - MD5: 0f0838e6cec998849509b2bd2183d97a
IND298_Genotypic_data.txt.gz
Feb 4, 2022 - Genotypic data for the IND298 panel
Gzip Archive - 926.4 KB - MD5: 304394279b22cabfadcb1672e29a9bd6
DataGenotypic data
Appendix 1 - Trial Site Information.pdf
Jan 27, 2022 - 2022 CIMMYT Maize Eastern Africa Product Profile 1A (PP1A) Product Announcement
Adobe PDF - 99.1 KB - MD5: 56a243615786774cff6c73adc6300621
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