Incorporation of GWAS data on genomic prediction accuracies assessed in the small, unadmixed, unstructured population of Icelandic dairy cattle

Egill Gautason

Research output: Contribution to conferencePosterResearch

Abstract

Genomic estimation of breeding values has greatly increased genetic gain for major dairy cattle breeds, but has not been widely implemented in smaller populations. In small cattle populations, the implementation of genomic selection is restricted by low numbers of progeny tested reference bulls, which limits the prediction accuracy of genomically estimated breeding values (GEBVs). Methods to increase accuracy of GEBVs for small cattle populations are needed for them to remain competitive.
We use genotype data from 8,100 Icelandic cattle, including cows and progeny tested bulls, to study the effect of enriching genomic prediction with GWAS results on prediction accuracies. Icelandic cattle is a dairy breed that consists of approximately 26,000 breeding females, and has an active (non-genomic) breeding program. We have genomically characterized the population, demonstrating that Icelandic cattle belongs to a clade of northern Nordic indigenous breeds and has been isolated for a long time. Admixture analysis revealed only very small traces of foreign import into the population, and the population is unstructured.
Original languageEnglish
Publication dateNov 2020
Publication statusPublished - Nov 2020
Event6th International Conference of Quantitative Genetics - The University of Queensland, Brisbane, Australia
Duration: 2 Nov 202012 Nov 2020
Conference number: 6
https://icqg6.org/

Conference

Conference6th International Conference of Quantitative Genetics
Number6
LocationThe University of Queensland
Country/TerritoryAustralia
CityBrisbane
Period02/11/202012/11/2020
Internet address

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