Machine Learning Prediction of Crossbred Pig Feed Efficiency and Growth Rate From Single Nucleotide Polymorphisms

This research assessed the ability of a Support Vector Machine (SVM) regression model to predict pig crossbred (CB) performance from various sources of phenotypic and genotypic information for improving crossbreeding performance at reduced genotyping cost. Data consisted of average daily gain (ADG)...

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Detalles Bibliográficos
Autores principales: Tusell, Llibertat, Bergsma, Rob, Gilbert, Hélène, Gianola, Daniel, Piles, Miriam
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/PMC7775539/
https://www.ncbi.nlm.nih.gov/pubmed/33391339
http://dx.doi.org/10.3389/fgene.2020.567818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775539/
https://www.ncbi.nlm.nih.gov/pubmed/33391339
http://dx.doi.org/10.3389/fgene.2020.567818

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