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Multibreed analysis by splitting the breeding values
An equivalent model for multibreed variance covariance estimation is presented. It considers the additive case including or not the segregation variances. The model is based on splitting the additive genetic values in several independent parts depending on their genetic origin. For each part, it exp...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689266/ https://www.ncbi.nlm.nih.gov/pubmed/17129562 http://dx.doi.org/10.1186/1297-9686-38-6-601 |
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author | García-Cortés, Luis Alberto Toro, Miguel Ángel |
author_facet | García-Cortés, Luis Alberto Toro, Miguel Ángel |
author_sort | García-Cortés, Luis Alberto |
collection | PubMed |
description | An equivalent model for multibreed variance covariance estimation is presented. It considers the additive case including or not the segregation variances. The model is based on splitting the additive genetic values in several independent parts depending on their genetic origin. For each part, it expresses the covariance between relatives as a partial numerator relationship matrix times the corresponding variance component. Estimation of fixed effects, random effects or variance components provided by the model are as simple as any model including several random factors. We present a small example describing the mixed model equations for genetic evaluations and two simulated examples to illustrate the Bayesian variance component estimation. |
format | Text |
id | pubmed-2689266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26892662009-06-02 Multibreed analysis by splitting the breeding values García-Cortés, Luis Alberto Toro, Miguel Ángel Genet Sel Evol Research An equivalent model for multibreed variance covariance estimation is presented. It considers the additive case including or not the segregation variances. The model is based on splitting the additive genetic values in several independent parts depending on their genetic origin. For each part, it expresses the covariance between relatives as a partial numerator relationship matrix times the corresponding variance component. Estimation of fixed effects, random effects or variance components provided by the model are as simple as any model including several random factors. We present a small example describing the mixed model equations for genetic evaluations and two simulated examples to illustrate the Bayesian variance component estimation. BioMed Central 2006-11-28 /pmc/articles/PMC2689266/ /pubmed/17129562 http://dx.doi.org/10.1186/1297-9686-38-6-601 Text en Copyright © 2006 INRA, EDP Sciences |
spellingShingle | Research García-Cortés, Luis Alberto Toro, Miguel Ángel Multibreed analysis by splitting the breeding values |
title | Multibreed analysis by splitting the breeding values |
title_full | Multibreed analysis by splitting the breeding values |
title_fullStr | Multibreed analysis by splitting the breeding values |
title_full_unstemmed | Multibreed analysis by splitting the breeding values |
title_short | Multibreed analysis by splitting the breeding values |
title_sort | multibreed analysis by splitting the breeding values |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689266/ https://www.ncbi.nlm.nih.gov/pubmed/17129562 http://dx.doi.org/10.1186/1297-9686-38-6-601 |
work_keys_str_mv | AT garciacortesluisalberto multibreedanalysisbysplittingthebreedingvalues AT toromiguelangel multibreedanalysisbysplittingthebreedingvalues |