Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results
Abstract
Large-scale phenotyping for detailed milk fatty acid (FA) composition is difficult due to expensive and time-consuming analytical techniques. Reliability of genomic prediction is often low for traits that are expensive/difficult to measure and for breeds with a small reference population size. An effective method to increase reference population size could be to combine datasets from different populations. Prediction models might also benefit...
Paper Details
Title
Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results
Published Date
Apr 27, 2019
Journal
Volume
51
Issue
1
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