The pursuit of genetic gain in agricultural crops through the application of machine-learning to genomic prediction

Current practice in agriculture applies genomic prediction to assist crop breeding in the analysis of genetic marker data. Genomic selection methods typically use linear mixed models, but using machine-learning may provide further potential for improved selection accuracy, or may provide additional...

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Detalles Bibliográficos
Autores principales: Jones, Darcy, Fornarelli, Roberta, Derbyshire, Mark, Gibberd, Mark, Barker, Kathryn, Hane, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443705/
https://www.ncbi.nlm.nih.gov/pubmed/37614817
http://dx.doi.org/10.3389/fgene.2023.1186782

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443705/
https://www.ncbi.nlm.nih.gov/pubmed/37614817
http://dx.doi.org/10.3389/fgene.2023.1186782

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