Reliability of genomic evaluation for egg quality traits in layers
Abstract 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 cattl...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-02-01
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| Series: | BMC Genetics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12863-020-0820-2 |
| _version_ | 1811251685416239104 |
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| author | David Picard Druet Amandine Varenne Florian Herry Frédéric Hérault Sophie Allais Thierry Burlot Pascale Le Roy |
| author_facet | David Picard Druet Amandine Varenne Florian Herry Frédéric Hérault Sophie Allais Thierry Burlot Pascale Le Roy |
| author_sort | David Picard Druet |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T16:22:58Z |
| format | Article |
| id | doaj.art-9a827c9ddbc14632a3525bab5ed11f5c |
| institution | Directory Open Access Journal |
| issn | 1471-2156 |
| language | English |
| last_indexed | 2024-04-12T16:22:58Z |
| publishDate | 2020-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genetics |
| spelling | doaj.art-9a827c9ddbc14632a3525bab5ed11f5c2022-12-22T03:25:29ZengBMCBMC Genetics1471-21562020-02-0121111110.1186/s12863-020-0820-2Reliability of genomic evaluation for egg quality traits in layersDavid Picard Druet0Amandine Varenne1Florian Herry2Frédéric Hérault3Sophie Allais4Thierry Burlot5Pascale Le Roy6PEGASE, INRAE, Agrocampus OuestNOVOGENPEGASE, INRAE, Agrocampus OuestPEGASE, INRAE, Agrocampus OuestPEGASE, INRAE, Agrocampus OuestNOVOGENPEGASE, INRAE, Agrocampus OuestAbstract 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.https://doi.org/10.1186/s12863-020-0820-2Laying hensEgg qualityGenomic evaluationAccuracySingle step |
| spellingShingle | David Picard Druet Amandine Varenne Florian Herry Frédéric Hérault Sophie Allais Thierry Burlot Pascale Le Roy Reliability of genomic evaluation for egg quality traits in layers BMC Genetics Laying hens Egg quality Genomic evaluation Accuracy Single step |
| 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 | Laying hens Egg quality Genomic evaluation Accuracy Single step |
| url | https://doi.org/10.1186/s12863-020-0820-2 |
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