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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Gepubliceerd in:G3 (Bethesda)
Hoofdauteurs: Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, José, Cuevas, Jaime, Montesinos-López, José C., Gutiérrez, Zitlalli Salas, Lillemo, Morten, Philomin, Juliana, Singh, Ravi
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Genetics Society of America 2019
Onderwerpen:
Genomic Prediction
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6778812/
https://ncbi.nlm.nih.gov/pubmed/31427455
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.119.400336
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