A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library

Genomic selection (GS) changed the way plant breeders select genotypes. GS takes advantage of phenotypic and genotypic information to training a statistical machine learning model, which is used to predict phenotypic (or breeding) values of new lines for which only genotypic information is available...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Osval A., Montesinos-López, Abelardo, Cano-Paez, Bernabe, Hernández-Suárez, Carlos Moisés, Santana-Mancilla, Pedro C., Crossa, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407886/
https://www.ncbi.nlm.nih.gov/pubmed/36011405
http://dx.doi.org/10.3390/genes13081494

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407886/
https://www.ncbi.nlm.nih.gov/pubmed/36011405
http://dx.doi.org/10.3390/genes13081494

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