Selective genotyping to implement genomic selection in beef cattle breeding

Genomic selection (GS) plays an essential role in livestock genetic improvement programs. In dairy cattle, the method is already a recognized tool to estimate the breeding values of young animals and reduce generation intervals. Due to the different breeding structures of beef cattle, the implementa...

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Published inFrontiers in genetics Vol. 14; p. 1083106
Main Authors Esrafili Taze Kand Mohammaddiyeh, Maryam, Rafat, Seyed Abbas, Shodja, Jalil, Javanmard, Arash, Esfandyari, Hadi
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 17.03.2023
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Summary:Genomic selection (GS) plays an essential role in livestock genetic improvement programs. In dairy cattle, the method is already a recognized tool to estimate the breeding values of young animals and reduce generation intervals. Due to the different breeding structures of beef cattle, the implementation of GS is still a challenge and has been adopted to a much lesser extent than dairy cattle. This study aimed to evaluate genotyping strategies in terms of prediction accuracy as the first step in the implementation of GS in beef while some restrictions were assumed for the availability of phenotypic and genomic information. For this purpose, a multi-breed population of beef cattle was simulated by imitating the practical system of beef cattle genetic evaluation. Four genotyping scenarios were compared to traditional pedigree-based evaluation. Results showed an improvement in prediction accuracy, albeit a limited number of animals being genotyped (i.e., 3% of total animals in genetic evaluation). The comparison of genotyping scenarios revealed that selective genotyping should be on animals from both ancestral and younger generations. In addition, as genetic evaluation in practice covers traits that are expressed in either sex, it is recommended that genotyping covers animals from both sexes.
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Reviewed by: George R. Wiggans, Council on Dairy Cattle Breeding, United States
This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics
Setegn Worku Alemu, Massey University, New Zealand
Edited by: Anupama Mukherjee, Indian Council of Agricultural Research (ICAR), India
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2023.1083106