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Unknown - 12.7 KB -
MD5: c95b02815b02c046e4c07ca06ce7702a
Guide |
Unknown - 13.9 KB -
MD5: a9354dff5f1a601157a54b55b2080d43
RCGS genetic gains - phenotypic data |
Unknown - 3.8 MB -
MD5: df9fdca66110ce5a6cae5f0ea88bdf81
RCGS_Training population phenotypic data |
Apr 26, 2017 -
A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Adobe PDF - 359.1 KB -
MD5: 34a5688c0ddf47b4090daae7598f0078
SUPPLEMENTAL MATERIAL S1 |
Apr 26, 2017 -
A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Adobe PDF - 308.7 KB -
MD5: 4a22398ad4e39ce3f23525483674dd47
SUPPLEMENTAL MATERIAL S2 |
Apr 26, 2017 -
A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Adobe PDF - 286.1 KB -
MD5: 65dc578648eea89beb7a739441a21f81
SUPPLEMENTAL MATERIAL S3 |
Plain Text - 114.4 KB -
MD5: ec41a69c4183d8ac5eb62c6514795745
NOPT trials for rice |
Plain Text - 36.2 KB -
MD5: a007bb0ea777a36478edd0e7bb776bca
NOPT trials for wheat |
Adobe PDF - 240.9 KB -
MD5: cd0401263632270f8751deb1f86b7bc8
Codebook for wheat datasets |
Adobe PDF - 279.9 KB -
MD5: 1794be1aab03e3032707fc97ef9d5508
Codebook for rice datasets |
