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

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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Bibliographic Details
Main Authors: Llibertat Tusell, Rob Bergsma, Hélène Gilbert, Daniel Gianola, Miriam Piles
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Genetics
Subjects:
pigs
crossbred
single nucleotide polymorphism
genomic prediction
support vector machine
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.567818/full

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