Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials

Modern whole-genome prediction (WGP) frameworks that focus on multi-environment trials (MET) integrate large-scale genomics, phenomics, and envirotyping data. However, the more complex the statistical model, the longer the computational processing times, which do not always result in accuracy gains....

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Detalles Bibliográficos
Autores principales: Costa-Neto, Germano, Fritsche-Neto, Roberto, Crossa, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852533/
https://www.ncbi.nlm.nih.gov/pubmed/32855544
http://dx.doi.org/10.1038/s41437-020-00353-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852533/
https://www.ncbi.nlm.nih.gov/pubmed/32855544
http://dx.doi.org/10.1038/s41437-020-00353-1

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