Cargando…

Genomic evaluation of both purebred and crossbred performances

BACKGROUND: For a two-breed crossbreeding system, Wei and van der Werf presented a model for genetic evaluation using information from both purebred and crossbred animals. The model provides breeding values for both purebred and crossbred performances. Genomic evaluation incorporates marker genotype...

Descripción completa

Detalles Bibliográficos
Autores principales: Christensen, Ole F, Madsen, Per, Nielsen, Bjarne, Su, Guosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994295/
https://www.ncbi.nlm.nih.gov/pubmed/24666469
http://dx.doi.org/10.1186/1297-9686-46-23
_version_ 1782312704702152704
author Christensen, Ole F
Madsen, Per
Nielsen, Bjarne
Su, Guosheng
author_facet Christensen, Ole F
Madsen, Per
Nielsen, Bjarne
Su, Guosheng
author_sort Christensen, Ole F
collection PubMed
description BACKGROUND: For a two-breed crossbreeding system, Wei and van der Werf presented a model for genetic evaluation using information from both purebred and crossbred animals. The model provides breeding values for both purebred and crossbred performances. Genomic evaluation incorporates marker genotypes into a genetic evaluation system. Among popular methods are the so-called single-step methods, in which marker genotypes are incorporated into a traditional animal model by using a combined relationship matrix that extends the marker-based relationship matrix to non-genotyped animals. However, a single-step method for genomic evaluation of both purebred and crossbred performances has not been developed yet. RESULTS: An extension of the Wei and van der Werf model that incorporates genomic information is presented. The extension consists of four steps: (1) the Wei van der Werf model is reformulated using two partial relationship matrices for the two breeds; (2) marker-based partial relationship matrices are constructed; (3) marker-based partial relationship matrices are adjusted to be compatible to pedigree-based partial relationship matrices and (4) combined partial relationship matrices are constructed using information from both pedigree and marker genotypes. The extension of the Wei van der Werf model can be implemented using software that allows inverse covariance matrices in sparse format as input. CONCLUSIONS: A method for genomic evaluation of both purebred and crossbred performances was developed for a two-breed crossbreeding system. The method allows information from crossbred animals to be incorporated in a coherent manner for such crossbreeding systems.
format Online
Article
Text
id pubmed-3994295
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-39942952014-05-06 Genomic evaluation of both purebred and crossbred performances Christensen, Ole F Madsen, Per Nielsen, Bjarne Su, Guosheng Genet Sel Evol Research BACKGROUND: For a two-breed crossbreeding system, Wei and van der Werf presented a model for genetic evaluation using information from both purebred and crossbred animals. The model provides breeding values for both purebred and crossbred performances. Genomic evaluation incorporates marker genotypes into a genetic evaluation system. Among popular methods are the so-called single-step methods, in which marker genotypes are incorporated into a traditional animal model by using a combined relationship matrix that extends the marker-based relationship matrix to non-genotyped animals. However, a single-step method for genomic evaluation of both purebred and crossbred performances has not been developed yet. RESULTS: An extension of the Wei and van der Werf model that incorporates genomic information is presented. The extension consists of four steps: (1) the Wei van der Werf model is reformulated using two partial relationship matrices for the two breeds; (2) marker-based partial relationship matrices are constructed; (3) marker-based partial relationship matrices are adjusted to be compatible to pedigree-based partial relationship matrices and (4) combined partial relationship matrices are constructed using information from both pedigree and marker genotypes. The extension of the Wei van der Werf model can be implemented using software that allows inverse covariance matrices in sparse format as input. CONCLUSIONS: A method for genomic evaluation of both purebred and crossbred performances was developed for a two-breed crossbreeding system. The method allows information from crossbred animals to be incorporated in a coherent manner for such crossbreeding systems. BioMed Central 2014-03-25 /pmc/articles/PMC3994295/ /pubmed/24666469 http://dx.doi.org/10.1186/1297-9686-46-23 Text en Copyright © 2014 Christensen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Christensen, Ole F
Madsen, Per
Nielsen, Bjarne
Su, Guosheng
Genomic evaluation of both purebred and crossbred performances
title Genomic evaluation of both purebred and crossbred performances
title_full Genomic evaluation of both purebred and crossbred performances
title_fullStr Genomic evaluation of both purebred and crossbred performances
title_full_unstemmed Genomic evaluation of both purebred and crossbred performances
title_short Genomic evaluation of both purebred and crossbred performances
title_sort genomic evaluation of both purebred and crossbred performances
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994295/
https://www.ncbi.nlm.nih.gov/pubmed/24666469
http://dx.doi.org/10.1186/1297-9686-46-23
work_keys_str_mv AT christensenolef genomicevaluationofbothpurebredandcrossbredperformances
AT madsenper genomicevaluationofbothpurebredandcrossbredperformances
AT nielsenbjarne genomicevaluationofbothpurebredandcrossbredperformances
AT suguosheng genomicevaluationofbothpurebredandcrossbredperformances