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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Bibliografiska uppgifter
I publikationen:Front Genet
Huvudupphovsmän: Tusell, Llibertat, Bergsma, Rob, Gilbert, Hélène, Gianola, Daniel, Piles, Miriam
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2020
Ämnen:
Genetics
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7775539/
https://ncbi.nlm.nih.gov/pubmed/33391339
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.567818
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