Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions

The rapid development of molecular markers and sequencing technologies has made it possible to use genomic prediction (GP) and selection (GS) in animal and plant breeding. However, when the number of observations (n) is large (thousands or millions), computational difficulties when handling these la...

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Detalles Bibliográficos
Autores principales: Cuevas, Jaime, Montesinos-López, Osval A., Martini, J. W. R., Pérez-Rodríguez, Paulino, Lillemo, Morten, Crossa, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594507/
https://www.ncbi.nlm.nih.gov/pubmed/33193659
http://dx.doi.org/10.3389/fgene.2020.567757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594507/
https://www.ncbi.nlm.nih.gov/pubmed/33193659
http://dx.doi.org/10.3389/fgene.2020.567757

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