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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Bibliografiske detaljer
Udgivet i:Front Genet
Main Authors: Tusell, Llibertat, Bergsma, Rob, Gilbert, Hélène, Gianola, Daniel, Piles, Miriam
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Genetics
Online adgang: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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