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Reliability of genomic evaluation for egg quality traits in layers
BACKGROUND: Genomic evaluation, based on the use of thousands of genetic markers in addition to pedigree and phenotype information, has become the standard evaluation methodology in dairy cattle breeding programmes over the past several years. Despite the many differences between dairy cattle breedi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014768/ https://www.ncbi.nlm.nih.gov/pubmed/32046634 http://dx.doi.org/10.1186/s12863-020-0820-2 |
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author | Picard Druet, David Varenne, Amandine Herry, Florian Hérault, Frédéric Allais, Sophie Burlot, Thierry Le Roy, Pascale |
author_facet | Picard Druet, David Varenne, Amandine Herry, Florian Hérault, Frédéric Allais, Sophie Burlot, Thierry Le Roy, Pascale |
author_sort | Picard Druet, David |
collection | PubMed |
description | BACKGROUND: Genomic evaluation, based on the use of thousands of genetic markers in addition to pedigree and phenotype information, has become the standard evaluation methodology in dairy cattle breeding programmes over the past several years. Despite the many differences between dairy cattle breeding and poultry breeding, genomic selection seems very promising for the avian sector, and studies are currently being conducted to optimize avian selection schemes. In this optimization perspective, one of the key parameters is to properly predict the accuracy of genomic evaluation in pure line layers. RESULTS: It was observed that genomic evaluation, whether performed on males or females, always proved more accurate than genetic evaluation. The gain was higher when phenotypic information was narrowed, and an augmentation of the size of the reference population led to an increase in accuracy prediction with regard to genomic evaluation. By taking into account the increase of selection intensity and the decrease of the generation interval induced by genomic selection, the expected annual genetic gain would be higher with ancestry-based genomic evaluation of male candidates than with genetic evaluation based on collaterals. This advantage of genomic selection over genetic selection requires more detailed further study for female candidates. CONCLUSIONS: In conclusion, in the population studied, the genomic evaluation of egg quality traits of breeding birds at birth seems to be a promising strategy, at least for the selection of males. |
format | Online Article Text |
id | pubmed-7014768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70147682020-02-20 Reliability of genomic evaluation for egg quality traits in layers Picard Druet, David Varenne, Amandine Herry, Florian Hérault, Frédéric Allais, Sophie Burlot, Thierry Le Roy, Pascale BMC Genet Research Article BACKGROUND: Genomic evaluation, based on the use of thousands of genetic markers in addition to pedigree and phenotype information, has become the standard evaluation methodology in dairy cattle breeding programmes over the past several years. Despite the many differences between dairy cattle breeding and poultry breeding, genomic selection seems very promising for the avian sector, and studies are currently being conducted to optimize avian selection schemes. In this optimization perspective, one of the key parameters is to properly predict the accuracy of genomic evaluation in pure line layers. RESULTS: It was observed that genomic evaluation, whether performed on males or females, always proved more accurate than genetic evaluation. The gain was higher when phenotypic information was narrowed, and an augmentation of the size of the reference population led to an increase in accuracy prediction with regard to genomic evaluation. By taking into account the increase of selection intensity and the decrease of the generation interval induced by genomic selection, the expected annual genetic gain would be higher with ancestry-based genomic evaluation of male candidates than with genetic evaluation based on collaterals. This advantage of genomic selection over genetic selection requires more detailed further study for female candidates. CONCLUSIONS: In conclusion, in the population studied, the genomic evaluation of egg quality traits of breeding birds at birth seems to be a promising strategy, at least for the selection of males. BioMed Central 2020-02-11 /pmc/articles/PMC7014768/ /pubmed/32046634 http://dx.doi.org/10.1186/s12863-020-0820-2 Text en © The Author(s) 2020 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Picard Druet, David Varenne, Amandine Herry, Florian Hérault, Frédéric Allais, Sophie Burlot, Thierry Le Roy, Pascale Reliability of genomic evaluation for egg quality traits in layers |
title | Reliability of genomic evaluation for egg quality traits in layers |
title_full | Reliability of genomic evaluation for egg quality traits in layers |
title_fullStr | Reliability of genomic evaluation for egg quality traits in layers |
title_full_unstemmed | Reliability of genomic evaluation for egg quality traits in layers |
title_short | Reliability of genomic evaluation for egg quality traits in layers |
title_sort | reliability of genomic evaluation for egg quality traits in layers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014768/ https://www.ncbi.nlm.nih.gov/pubmed/32046634 http://dx.doi.org/10.1186/s12863-020-0820-2 |
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