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 548887
Title Estimating the purebred-crossbred genetic correlation of body weight in broiler chickens with pedigree or genomic relationships
Author(s) Duenk, Pascal; Calus, Mario P.L.; Wientjes, Yvonne C.J.; Breen, Vivian P.; Henshall, John M.; Hawken, Rachel; Bijma, Piter
Source Genetics, Selection, Evolution 51 (2019)1. - ISSN 0999-193X
Department(s) Animal Breeding and Genomics
Publication type Refereed Article in a scientific journal
Publication year 2019
Abstract Background: In pig and poultry breeding programs, the breeding goal is to improve crossbred (CB) performance, whereas selection in the purebred (PB) lines is often based on PB performance. Thus, response to selection may be suboptimal, because the genetic correlation between PB and CB performance (rpc) is generally lower than 1. Accurate estimates of the rpcare needed, so that breeders can decide if they should collect data from CB animals. rpccan be estimated either from pedigree or genomic relationships, which may produce different results. With genomic relationships, the rpc estimate could be improved when relationships between purebred and crossbred animals are based only on the alleles that originate from the PB line of interest. This work presents the first comparison of estimated rpc and variance components of body weight in broilers, using pedigree-based or genotype-based models, where the breed-of-origin of alleles was either ignored or considered. We used genotypes and body weight measurements of PB and CB animals that have a common sire line. Results: Our results showed that the rpc estimates depended on the relationship matrix used. Estimates were 5 to 25% larger with genotype-based models than with pedigree-based models. Moreover, rpc estimates were similar (max. 7% difference) regardless of whether the model considered breed-of-origin of alleles or not. Standard errors of rpc estimates were smaller with genotype-based than with pedigree-based methods, and smaller with models that ignored breed-of-origin than with models that considered breed-of-origin. Conclusions: We conclude that genotype-based models can be useful for estimating rpc, even when the PB and CB animals that have phenotypes are closely related. Considering breed-of-origin of alleles did not yield different estimates of rpc, probably because the parental breeds of the CB animals were distantly related.
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