Bayesian multitrait kernel methods improve multienvironment genome-based prediction

When multitrait data are available, the preferred models are those that are able to account for correlations between phenotypic traits because when the degree of correlation is moderate or large, this increases the genomic prediction accuracy. For this reason, in this article, we explore Bayesian mu...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Osval Antonio, Montesinos-López, José Cricelio, Montesinos-López, Abelardo, Ramírez-Alcaraz, Juan Manuel, Poland, Jesse, Singh, Ravi, Dreisigacker, Susanne, Crespo, Leonardo, Mondal, Sushismita, Govidan, Velu, Juliana, Philomin, Espino, Julio Huerta, Shrestha, Sandesh, Varshney, Rajeev K, Crossa, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210316/
https://www.ncbi.nlm.nih.gov/pubmed/34849802
http://dx.doi.org/10.1093/g3journal/jkab406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210316/
https://www.ncbi.nlm.nih.gov/pubmed/34849802
http://dx.doi.org/10.1093/g3journal/jkab406

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