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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064214/ https://www.ncbi.nlm.nih.gov/pubmed/37007975 http://dx.doi.org/10.3389/fgene.2023.1083106 |
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author | Esrafili Taze Kand Mohammaddiyeh, Maryam Rafat, Seyed Abbas Shodja, Jalil Javanmard, Arash Esfandyari, Hadi |
author_facet | Esrafili Taze Kand Mohammaddiyeh, Maryam Rafat, Seyed Abbas Shodja, Jalil Javanmard, Arash Esfandyari, Hadi |
author_sort | Esrafili Taze Kand Mohammaddiyeh, Maryam |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10064214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100642142023-04-01 Selective genotyping to implement genomic selection in beef cattle breeding Esrafili Taze Kand Mohammaddiyeh, Maryam Rafat, Seyed Abbas Shodja, Jalil Javanmard, Arash Esfandyari, Hadi Front Genet Genetics 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. Frontiers Media S.A. 2023-03-17 /pmc/articles/PMC10064214/ /pubmed/37007975 http://dx.doi.org/10.3389/fgene.2023.1083106 Text en Copyright © 2023 Esrafili Taze Kand Mohammaddiyeh, Rafat, Shodja, Javanmard and Esfandyari. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Esrafili Taze Kand Mohammaddiyeh, Maryam Rafat, Seyed Abbas Shodja, Jalil Javanmard, Arash Esfandyari, Hadi Selective genotyping to implement genomic selection in beef cattle breeding |
title | Selective genotyping to implement genomic selection in beef cattle breeding |
title_full | Selective genotyping to implement genomic selection in beef cattle breeding |
title_fullStr | Selective genotyping to implement genomic selection in beef cattle breeding |
title_full_unstemmed | Selective genotyping to implement genomic selection in beef cattle breeding |
title_short | Selective genotyping to implement genomic selection in beef cattle breeding |
title_sort | selective genotyping to implement genomic selection in beef cattle breeding |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064214/ https://www.ncbi.nlm.nih.gov/pubmed/37007975 http://dx.doi.org/10.3389/fgene.2023.1083106 |
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