Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

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Record number 539578
Title Breed-specific genome-wide association study for purebred and crossbred performance
Author(s) Sevillano Del Aguila, C.A.; Guimaraes, S.E.F.; Silva, F.; Calus, M.P.L.
Source In: Proceedings 11th World Congress of Genetics Applied to Livestock Production. - - 6 p.
Event World Congress on Genetics Applied to Livestock Production, Auckland, 2018-02-11/2018-02-16
Department(s) Animal Breeding and Genetics
Publication type Contribution in proceedings
Publication year 2018
Abstract The association of a given SNP with purebred (PB) performance might be different than its association with crossbred (CB) performance, because of interactions of the SNP marker with the environment or the genetic background. Therefore, the aim of the present study is to examine breed-specific associations of SNP to PB and CB performance. For this, we performed a genome-wide association study (GWAS) for back fat thickness (BF) with an approach that implements a genomic best linear unbiased prediction (GBLUP) model considering breed-of-origin of alleles. We observed some same regions for PB and CB performance, but the effects differed when observed in a PB or CB background. As expected, the breed with the lowest genetic correlation for BF between PB and CB, had fewest SNPs in common between PB and CB. Moreover, the effect of a given allele associated to BF in CB depended on the breed it was inherited from. These results suggest that SNP effects depend on the environment and on their genetic background, and are valuable to understand the low responses obtained when selecting PB animals for CB performance. The recognition of important regions associated to performance plus the differentiation of SNP effects according to their breed-of-origin, might inform future prediction models for CB performance.
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