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Genomic prediction and genomic variance partitioning of daily and residual feed intake in pigs using Bayesian Power Lasso models

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  • Duy Ngoc Do, University of Copenhagen, Denmark
  • Luc L G Janss
  • Anders B Strathe, 1 Breeding & Genetics, Pig Research Centre, Danish Agriculture & Food Council, Denmark
  • Haja N Kadarmideen, University of Copenhagen, Denmark
Improvement of feed efficiency is essential in pig breeding and selection for reduced residual feed intake (RFI) is an option. The study applied Bayesian Power LASSO (BPL) models with different power parameter to investigate genetic architecture, to predict genomic breeding values, and to partition genomic variance for RFI and daily feed intake (DFI). A total of 1272 Duroc pigs had both genotypic and phenotypic records for these traits. Significant SNPs were detected on chromosome 1 (SSC 1) and SSC 14 for RFI and on SSC 1 for DFI. BPL had similar accuracy and bias as GBLUP but power parameters had no effect on predictive ability. Genomic variance partitioning showed that SNP groups either by position (intron, exon, downstream, upstream and 5’UTR) or by function (missense and protein-altering) had similar average explained variance per SNP, except that 3’UTR had a higher value.
Original languageEnglish
Publication year17 Aug 2014
Number of pages3
Publication statusPublished - 17 Aug 2014
Event10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada
Duration: 17 Aug 201422 Aug 2014
Conference number: 10th


Conference10th World Congress on Genetics Applied to Livestock Production (WCGALP)
LocationThe Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4

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