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Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds
BACKGROUND: The breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In theory, the breeding value should account for segregation between breeds, which results from the difference in the mean contribution of loci between...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320957/ https://www.ncbi.nlm.nih.gov/pubmed/37407936 http://dx.doi.org/10.1186/s12711-023-00810-5 |
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author | Eiríksson, Jón H. Su, Guosheng Strandén, Ismo Christensen, Ole F. |
author_facet | Eiríksson, Jón H. Su, Guosheng Strandén, Ismo Christensen, Ole F. |
author_sort | Eiríksson, Jón H. |
collection | PubMed |
description | BACKGROUND: The breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In theory, the breeding value should account for segregation between breeds, which results from the difference in the mean contribution of loci between breeds, which in turn is caused by differences in allele frequencies between breeds. However, with multiple generations of crossbreeding, how to account for breed segregation in genomic models that split the breeding value of crossbreds based on breed origin of alleles (BOA) is not known. Furthermore, local breed proportions (LBP) have been modelled based on BOA and is a concept related to breed segregation. The objectives of this study were to explore the theoretical background of the effect of LBP and how it relates to breed segregation and to investigate how to incorporate breed segregation (co)variance in genomic BOA models. RESULTS: We showed that LBP effects result from the difference in the mean contribution of loci between breeds in an additive genetic model, i.e. breed segregation effects. We found that the (co)variance structure for BS effects in genomic BOA models does not lead to relationship matrices that are positive semi-definite in all cases. However, by setting one breed as a reference breed, a valid (co)variance structure can be constructed by including LBP effects for all other breeds and assuming them to be correlated. We successfully estimated variance components for a genomic BOA model with LBP effects in a simulated example. CONCLUSIONS: Breed segregation effects and LBP effects are two alternative ways to account for the contribution of differences in the mean effects of loci between breeds. When the covariance between LBP effects across breeds is included in the model, a valid (co)variance structure for LBP effects can be constructed by setting one breed as reference breed and fitting an LBP effect for each of the other breeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-023-00810-5. |
format | Online Article Text |
id | pubmed-10320957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103209572023-07-06 Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds Eiríksson, Jón H. Su, Guosheng Strandén, Ismo Christensen, Ole F. Genet Sel Evol Research Article BACKGROUND: The breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In theory, the breeding value should account for segregation between breeds, which results from the difference in the mean contribution of loci between breeds, which in turn is caused by differences in allele frequencies between breeds. However, with multiple generations of crossbreeding, how to account for breed segregation in genomic models that split the breeding value of crossbreds based on breed origin of alleles (BOA) is not known. Furthermore, local breed proportions (LBP) have been modelled based on BOA and is a concept related to breed segregation. The objectives of this study were to explore the theoretical background of the effect of LBP and how it relates to breed segregation and to investigate how to incorporate breed segregation (co)variance in genomic BOA models. RESULTS: We showed that LBP effects result from the difference in the mean contribution of loci between breeds in an additive genetic model, i.e. breed segregation effects. We found that the (co)variance structure for BS effects in genomic BOA models does not lead to relationship matrices that are positive semi-definite in all cases. However, by setting one breed as a reference breed, a valid (co)variance structure can be constructed by including LBP effects for all other breeds and assuming them to be correlated. We successfully estimated variance components for a genomic BOA model with LBP effects in a simulated example. CONCLUSIONS: Breed segregation effects and LBP effects are two alternative ways to account for the contribution of differences in the mean effects of loci between breeds. When the covariance between LBP effects across breeds is included in the model, a valid (co)variance structure for LBP effects can be constructed by setting one breed as reference breed and fitting an LBP effect for each of the other breeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-023-00810-5. BioMed Central 2023-07-05 /pmc/articles/PMC10320957/ /pubmed/37407936 http://dx.doi.org/10.1186/s12711-023-00810-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Eiríksson, Jón H. Su, Guosheng Strandén, Ismo Christensen, Ole F. Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds |
title | Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds |
title_full | Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds |
title_fullStr | Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds |
title_full_unstemmed | Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds |
title_short | Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds |
title_sort | segregation between breeds and local breed proportions in genetic and genomic models for crossbreds |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320957/ https://www.ncbi.nlm.nih.gov/pubmed/37407936 http://dx.doi.org/10.1186/s12711-023-00810-5 |
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