Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials

In this study, we compared the prediction accuracy of the main genotypic effect model (MM) without G×E interactions, the multi-environment single variance G×E deviation model (MDs), and the multi-environment environment-specific variance G×E deviation model (MDe) where the random genetic effects of...

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Detalles Bibliográficos
Autores principales: Cuevas, Jaime, Granato, Italo, Fritsche-Neto, Roberto, Montesinos-Lopez, Osval A., Burgueño, Juan, Bandeira e Sousa, Massaine, Crossa, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2018
Materias:
Genomic Selection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873923/
https://www.ncbi.nlm.nih.gov/pubmed/29476023
http://dx.doi.org/10.1534/g3.117.300454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873923/
https://www.ncbi.nlm.nih.gov/pubmed/29476023
http://dx.doi.org/10.1534/g3.117.300454

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