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A crossbred reference population can improve the response to genomic selection for crossbred performance
BACKGROUND: Breeding goals in a crossbreeding system should be defined at the commercial crossbred level. However, selection is often performed to improve purebred performance. A genomic selection (GS) model that includes dominance effects can be used to select purebreds for crossbred performance. O...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587753/ https://www.ncbi.nlm.nih.gov/pubmed/26419430 http://dx.doi.org/10.1186/s12711-015-0155-z |
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author | Esfandyari, Hadi Sørensen, Anders Christian Bijma, Piter |
author_facet | Esfandyari, Hadi Sørensen, Anders Christian Bijma, Piter |
author_sort | Esfandyari, Hadi |
collection | PubMed |
description | BACKGROUND: Breeding goals in a crossbreeding system should be defined at the commercial crossbred level. However, selection is often performed to improve purebred performance. A genomic selection (GS) model that includes dominance effects can be used to select purebreds for crossbred performance. Optimization of the GS model raises the question of whether marker effects should be estimated from data on the pure lines or crossbreds. Therefore, the first objective of this study was to compare response to selection of crossbreds by simulating a two-way crossbreeding program with either a purebred or a crossbred training population. We assumed a trait of interest that was controlled by loci with additive and dominance effects. Animals were selected on estimated breeding values for crossbred performance. There was no genotype by environment interaction. Linkage phase and strength of linkage disequilibrium between quantitative trait loci (QTL) and single nucleotide polymorphisms (SNPs) can differ between breeds, which causes apparent effects of SNPs to be line-dependent. Thus, our second objective was to compare response to GS based on crossbred phenotypes when the line origin of alleles was taken into account or not in the estimation of breeding values. RESULTS: Training on crossbred animals yielded a larger response to selection in crossbred offspring compared to training on both pure lines separately or on both pure lines combined into a single reference population. Response to selection in crossbreds was larger if both phenotypes and genotypes were collected on crossbreds than if phenotypes were only recorded on crossbreds and genotypes on their parents. If both parental lines were distantly related, tracing the line origin of alleles improved genomic prediction, whereas if both parental lines were closely related and the reference population was small, it was better to ignore the line origin of alleles. CONCLUSIONS: Response to selection in crossbreeding programs can be increased by training on crossbred genotypes and phenotypes. Moreover, if the reference population is sufficiently large and both pure lines are not very closely related, tracing the line origin of alleles in crossbreds improves genomic prediction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-015-0155-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4587753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45877532015-09-30 A crossbred reference population can improve the response to genomic selection for crossbred performance Esfandyari, Hadi Sørensen, Anders Christian Bijma, Piter Genet Sel Evol Research Article BACKGROUND: Breeding goals in a crossbreeding system should be defined at the commercial crossbred level. However, selection is often performed to improve purebred performance. A genomic selection (GS) model that includes dominance effects can be used to select purebreds for crossbred performance. Optimization of the GS model raises the question of whether marker effects should be estimated from data on the pure lines or crossbreds. Therefore, the first objective of this study was to compare response to selection of crossbreds by simulating a two-way crossbreeding program with either a purebred or a crossbred training population. We assumed a trait of interest that was controlled by loci with additive and dominance effects. Animals were selected on estimated breeding values for crossbred performance. There was no genotype by environment interaction. Linkage phase and strength of linkage disequilibrium between quantitative trait loci (QTL) and single nucleotide polymorphisms (SNPs) can differ between breeds, which causes apparent effects of SNPs to be line-dependent. Thus, our second objective was to compare response to GS based on crossbred phenotypes when the line origin of alleles was taken into account or not in the estimation of breeding values. RESULTS: Training on crossbred animals yielded a larger response to selection in crossbred offspring compared to training on both pure lines separately or on both pure lines combined into a single reference population. Response to selection in crossbreds was larger if both phenotypes and genotypes were collected on crossbreds than if phenotypes were only recorded on crossbreds and genotypes on their parents. If both parental lines were distantly related, tracing the line origin of alleles improved genomic prediction, whereas if both parental lines were closely related and the reference population was small, it was better to ignore the line origin of alleles. CONCLUSIONS: Response to selection in crossbreeding programs can be increased by training on crossbred genotypes and phenotypes. Moreover, if the reference population is sufficiently large and both pure lines are not very closely related, tracing the line origin of alleles in crossbreds improves genomic prediction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-015-0155-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-29 /pmc/articles/PMC4587753/ /pubmed/26419430 http://dx.doi.org/10.1186/s12711-015-0155-z Text en © Esfandyari et al. 2015 Open AccessThis 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 Esfandyari, Hadi Sørensen, Anders Christian Bijma, Piter A crossbred reference population can improve the response to genomic selection for crossbred performance |
title | A crossbred reference population can improve the response to genomic selection for crossbred performance |
title_full | A crossbred reference population can improve the response to genomic selection for crossbred performance |
title_fullStr | A crossbred reference population can improve the response to genomic selection for crossbred performance |
title_full_unstemmed | A crossbred reference population can improve the response to genomic selection for crossbred performance |
title_short | A crossbred reference population can improve the response to genomic selection for crossbred performance |
title_sort | crossbred reference population can improve the response to genomic selection for crossbred performance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587753/ https://www.ncbi.nlm.nih.gov/pubmed/26419430 http://dx.doi.org/10.1186/s12711-015-0155-z |
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