A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data

In this paper we propose a Bayesian multi-output regressor stacking (BMORS) model that is a generalization of the multi-trait regressor stacking method. The proposed BMORS model consists of two stages: in the first stage, a univariate genomic best linear unbiased prediction (GBLUP including genotype...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, José, Cuevas, Jaime, Montesinos-López, José C., Gutiérrez, Zitlalli Salas, Lillemo, Morten, Philomin, Juliana, Singh, Ravi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2019
Materias:
Genomic Prediction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778812/
https://www.ncbi.nlm.nih.gov/pubmed/31427455
http://dx.doi.org/10.1534/g3.119.400336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778812/
https://www.ncbi.nlm.nih.gov/pubmed/31427455
http://dx.doi.org/10.1534/g3.119.400336

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