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Genetic evaluation for three-way crossbreeding

BACKGROUND: Commercial pig producers generally use a terminal crossbreeding system with three breeds. Many pig breeding organisations have started to use genomic selection for which genetic evaluation is often done by applying single-step methods for which the pedigree-based additive genetic relatio...

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Autores principales: Christensen, Ole F., Legarra, Andres, Lund, Mogens S., Su, Guosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689093/
https://www.ncbi.nlm.nih.gov/pubmed/26694257
http://dx.doi.org/10.1186/s12711-015-0177-6
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author Christensen, Ole F.
Legarra, Andres
Lund, Mogens S.
Su, Guosheng
author_facet Christensen, Ole F.
Legarra, Andres
Lund, Mogens S.
Su, Guosheng
author_sort Christensen, Ole F.
collection PubMed
description BACKGROUND: Commercial pig producers generally use a terminal crossbreeding system with three breeds. Many pig breeding organisations have started to use genomic selection for which genetic evaluation is often done by applying single-step methods for which the pedigree-based additive genetic relationship matrix is replaced by a combined relationship matrix based on both marker genotypes and pedigree. Genomic selection is implemented for purebreds, but it also offers opportunities for incorporating information from crossbreds and selecting for crossbred performance. However, models for genetic evaluation for the three-way crossbreeding system have not been developed. RESULTS: Four-variate models for three-way terminal crossbreeding are presented in which the first three variables contain the records for the three pure breeds and the fourth variable contains the records for the three-way crossbreds. For purebred animals, the models provide breeding values for both purebred and crossbred performances. Heterogeneity of genetic architecture between breeds and genotype by environment interactions are modelled through genetic correlations between these breeding values. Specification of the additive genetic relationships is essential for these models and can be defined either within populations or across populations. Based on these two types of additive genetic relationships, both pedigree-based, marker-based and combined relationships based on both pedigree and marker information are presented. All these models for three-way crossbreeding can be formulated using Kronecker matrix products and therefore fitted using Henderson’s mixed model equations and standard animal breeding software. CONCLUSIONS: Models for genetic evaluation in the three-way crossbreeding system are presented. They provide estimated breeding values for both purebred and crossbred performances, and can use pedigree-based or marker-based relationships, or combined relationships based on both pedigree and marker information. This provides a framework that allows information from three-way crossbred animals to be incorporated into a genetic evaluation system.
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spelling pubmed-46890932015-12-24 Genetic evaluation for three-way crossbreeding Christensen, Ole F. Legarra, Andres Lund, Mogens S. Su, Guosheng Genet Sel Evol Research Article BACKGROUND: Commercial pig producers generally use a terminal crossbreeding system with three breeds. Many pig breeding organisations have started to use genomic selection for which genetic evaluation is often done by applying single-step methods for which the pedigree-based additive genetic relationship matrix is replaced by a combined relationship matrix based on both marker genotypes and pedigree. Genomic selection is implemented for purebreds, but it also offers opportunities for incorporating information from crossbreds and selecting for crossbred performance. However, models for genetic evaluation for the three-way crossbreeding system have not been developed. RESULTS: Four-variate models for three-way terminal crossbreeding are presented in which the first three variables contain the records for the three pure breeds and the fourth variable contains the records for the three-way crossbreds. For purebred animals, the models provide breeding values for both purebred and crossbred performances. Heterogeneity of genetic architecture between breeds and genotype by environment interactions are modelled through genetic correlations between these breeding values. Specification of the additive genetic relationships is essential for these models and can be defined either within populations or across populations. Based on these two types of additive genetic relationships, both pedigree-based, marker-based and combined relationships based on both pedigree and marker information are presented. All these models for three-way crossbreeding can be formulated using Kronecker matrix products and therefore fitted using Henderson’s mixed model equations and standard animal breeding software. CONCLUSIONS: Models for genetic evaluation in the three-way crossbreeding system are presented. They provide estimated breeding values for both purebred and crossbred performances, and can use pedigree-based or marker-based relationships, or combined relationships based on both pedigree and marker information. This provides a framework that allows information from three-way crossbred animals to be incorporated into a genetic evaluation system. BioMed Central 2015-12-22 /pmc/articles/PMC4689093/ /pubmed/26694257 http://dx.doi.org/10.1186/s12711-015-0177-6 Text en © Christensen 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
Christensen, Ole F.
Legarra, Andres
Lund, Mogens S.
Su, Guosheng
Genetic evaluation for three-way crossbreeding
title Genetic evaluation for three-way crossbreeding
title_full Genetic evaluation for three-way crossbreeding
title_fullStr Genetic evaluation for three-way crossbreeding
title_full_unstemmed Genetic evaluation for three-way crossbreeding
title_short Genetic evaluation for three-way crossbreeding
title_sort genetic evaluation for three-way crossbreeding
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4689093/
https://www.ncbi.nlm.nih.gov/pubmed/26694257
http://dx.doi.org/10.1186/s12711-015-0177-6
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