026
DIMINISHING MARGINAL RETURNS FROM GENOMIC SELECTION AS MORE SELECTION CANDIDATES ARE PHENOTYPED

Friday, August 22, 2014: 5:15 PM
Bayshore Grand Ballroom D (The Westin Bayshore)
Tobias O. Okeno , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
Mark Henryon , School of Animal Biology, University of Western Australia, Crawley, Australia., Crawley, Australia
Anders Christian Sørensen , Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
Recorded Presentation (flv)
Abstract Text: We used stochastic simulation to test hypotheses that, (i) phenotyping proportion of high ranking selection candidates based on estimated breeding values (EBV) before genotyping could realize as much genetic gains as phenotyping all candidates, and (ii) there is diminishing return to selection as more candidates are phenotyped in genomic breeding programs. Three phenotyping criteria, namely, random (RS), EBV and true breeding value (TBV) were investigated under two schemes (across-population and within-litter) using traditional-BLUP and genomic-BLUP models. The EBV ranked above RS and realized maximum achievable gains in the breeding program at 80% phenotyping. There was diminishing return to selection as more candidates were phenotyped; indicating that information content is not so large in the last candidate compared to the first candidate phenotyped. These findings demonstrate the need to rank selection candidates and phenotype only top 80% in genomic selection program as no bias was detected.

Keywords:

phenotyping

pigs

See more of: Selection Theory - Managing Genetic Variance
See more of: Genetic Improvement Programs: Breeding objectives, economics of selection schemes, and advances in selection theory
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