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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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Detaylı Bibliyografya
Yayımlandı:Front Genet
Asıl Yazarlar: Tusell, Llibertat, Bergsma, Rob, Gilbert, Hélène, Gianola, Daniel, Piles, Miriam
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2020
Konular:
Online Erişim: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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