Bayesian multitrait kernel methods improve multienvironment genome-based prediction
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Title:
Bayesian multitrait kernel methods improve multienvironment genome-based prediction
Creator:
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
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Montesinos-Lopez, J.C.;
Montesinos-Lopez, A.;
Ramirez-Alcaraz, J.M.;
Poland, J.A.;
Singh, R.P.;
Dreisigacker, S.;
Crespo Herrera, L.A.;
Mondal, S.;
Velu, G.;
Juliana, P.;
Huerta-Espino, J.;
https://orcid.org/0000-0001-8334-9862
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Shrestha, S.;
Varshney, R.K.;
Crossa, J.
Montesinos-Lopez, O.A.
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
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Montesinos-Lopez, J.C.;
Montesinos-Lopez, A.;
Ramirez-Alcaraz, J.M.;
Poland, J.A.;
Singh, R.P.;
Dreisigacker, S.;
Crespo Herrera, L.A.;
Mondal, S.;
Velu, G.;
Juliana, P.;
Huerta-Espino, J.;
Huerta-Espino, J.
https://orcid.org/0000-0001-8334-9862
Scopus ID
Researcher ID
Items in this Repository
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Shrestha, S.;
Varshney, R.K.;
Crossa, J.
Year:
2022
Copyright:
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Journal:
G3: Genes, Genomes, Genetics
Journal volume:
12
Journal issue:
2
Article number:
jkab406
Place of Publication:
Bethesda, MD (USA)
Publisher:
Oxford University Press
