Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction

Multi-environment trials are routinely conducted in plant breeding to select candidates for the next selection cycle. In this study, we compare the prediction accuracy of four developed genomic-enabled prediction models: (1) single-environment, main genotypic effect model (SM); (2) multi-environment...

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Detalles Bibliográficos
Autores principales: Bandeira e Sousa, Massaine, Cuevas, Jaime, de Oliveira Couto, Evellyn Giselly, Pérez-Rodríguez, Paulino, Jarquín, Diego, Fritsche-Neto, Roberto, Burgueño, Juan, Crossa, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2017
Materias:
Genomic Selection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473775/
https://www.ncbi.nlm.nih.gov/pubmed/28455415
http://dx.doi.org/10.1534/g3.117.042341

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473775/
https://www.ncbi.nlm.nih.gov/pubmed/28455415
http://dx.doi.org/10.1534/g3.117.042341

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