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table31.xlsx
Oct 31, 2018 - Wheat holiday-India
MS Excel Spreadsheet - 14.8 KB - MD5: 474e0c6ea472aff8875a03944c693e3e
table32.xlsx
Oct 31, 2018 - Wheat holiday-India
MS Excel Spreadsheet - 14.0 KB - MD5: 144769b70eafac4b0d3397dc9e6d1eab
Table 3.tab
Oct 31, 2018 - Wheat holiday-India
Tabular Data - 2.0 KB - 18 Variables, 18 Observations - UNF:6:etYptL93kHuz8wBKKR6l7Q==
CIMMYT-2013-2018_Genotypic_data_readme.txt
Oct 30, 2018 - Genotypic data from CIMMYT bread wheat breeding lines used in the Feed the Future Innovation Lab for Applied Wheat Genomics
Plain Text - 1.2 KB - MD5: 3eecaab3d20aab5752477dfb7dca5ec8
2018_Data_Release_v.22019_Data_Release_v.32020_Data_Release_v.42021_Data_Release_v.52022_Data_Release_v.6Readme
Details about the information contained in the genotypic data file
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Oct 26, 2018 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-López, José Cricelio; Gutiérrez, Zitlalli Salas; Lillemo, Morten; Juliana, Philomin; Singh, Ravi, 2018, "A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data", https://hdl.handle.net/11529/10548141, CIMMYT Research Data & Software Repository Network, V1
A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.
Data_EYT_Set_4.RData.gz
Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 4.3 MB - MD5: d89c19aa2d574666d7e60b00be99d867
Data_EYT_Set_5.RData.gz
Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 4.4 MB - MD5: 648b8504a29690109dbbb2c93c4adbcd
Data_EYT_Set_6.RData.gz
Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 6.8 MB - MD5: 170f30875373b5db186a0a854ab30d2a
Data_EYT_Set_7.RData.gz
Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 7.0 MB - MD5: 7eadf14b110d8863226ec817e7c0c577
Data_Maize_Set_1.RData.gz
Oct 26, 2018 - A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Gzip Archive - 374.3 KB - MD5: e3954a629bc843561362f80d8e09a90c
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