Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results.

ABSTRACT:

Background

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 from incorporation of information on the biological underpinnings of quantitative traits. Genome-wide association studies (GWAS) show that genomic regions on Bos taurus chromosomes (BTA) 14, 19 and 26 underlie substantial proportions of the genetic variation in milk FA traits. Genomic prediction models that incorporate such results

SUBMITTER: Gebreyesus G 

PROVIDER: S-EPMC6487064 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature