Optimizing genomic breeding program designs to improve crossbred performance

Research output: Chapter in Book/Report/Conference proceedingAbstract

Abstract

The commercial production animals in pig and poultry systems are generally crosses between 3 or 4 purebred lines. Genetic improvement in those systems is generated by selecting purebred (PB) animals, although the breeding goal is focussing on crossbred (CB) performance. The aim of this study was to investigate whether a PB or CB reference population is optimal for genomic selection of the PB selection candidates for CB performance, and how this depends on: (1) the genetic correlation between PB and CB performance (rpc ); and (2) the genetic distance between the CB reference population and the PB selection candidates. We simulated a PB population consisting of 40 sires and 400 dams with a litter size of 6 per generation. This population was under genomic selection for PB performance for 8 generations. We compared the accuracy of predicting breeding values for CB performance of PB individuals in generation 9, using either a PB or 4-way CB reference population, each of 2,400 individuals. The CB reference population was generated after applying two, one or zero multiplication steps. This resulted in a minimum genetic distance of 9, 7, or 5 steps through the pedigree connecting the CB reference population to the PB selection candidates. We either used the same sires (top) or different (subtop) sires as used in the PB population to generate the CB populations. The accuracy of the PB reference populations was 0.31 at high rpc (0.75), and 0.19 at low rpc
(0.5). The accuracy of the CB reference populations was similar for both rpc
values. Among the CB reference populations, the accuracy was always highest for the population generated using zero multiplication steps and using top sires
(0.27). The other CB reference populations showed a similar accuracy (0.25), although the genetic distance with the PB selection candidates did differ across those populations. Altogether, those results indicate that the optimal design of a reference population to improve CB performance depends on the rpc and on the genetic distance of the CB reference population to the PB selection candidates.
Original languageEnglish
Title of host publicationBook of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science
Place of PublicationWageningen
PublisherWageningen Academic Publishers
Pages289-289
Volume25
ISBN (Electronic)9789086868902
ISBN (Print)9789086863396
Publication statusPublished - 27 Aug 2019
Event70th Annual Meeting of the European Federation of Animal Science (2019) - Ghent, Belgium
Duration: 26 Aug 201930 Aug 2019
https://www.eaap2019.org/EN/Home/tabid/9594/Default.aspx

Publication series

NameEAAP Book of Abstracts
PublisherEuropean Federation of Animal Science (EAAP)
Volume25

Conference

Conference70th Annual Meeting of the European Federation of Animal Science (2019)
Abbreviated titleEAAP 2019
CountryBelgium
CityGhent
Period26/08/1930/08/19
Internet address

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