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Variance components for survival of piglets at farrowing using a reduced animal model

Farrowing survival is usually analysed as a trait of the sow, but this precludes estimation of any direct genetic effects associated with individual piglets. In order to estimate these effects, which are particularly important for sire lines, it is necessary to fit an animal model. However this can...

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Detalles Bibliográficos
Autores principales: White, Ian MS, Roehe, Rainer, Knap, Pieter W, Brotherstone, Sue
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689290/
https://www.ncbi.nlm.nih.gov/pubmed/16790227
http://dx.doi.org/10.1186/1297-9686-38-4-359
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author White, Ian MS
Roehe, Rainer
Knap, Pieter W
Brotherstone, Sue
author_facet White, Ian MS
Roehe, Rainer
Knap, Pieter W
Brotherstone, Sue
author_sort White, Ian MS
collection PubMed
description Farrowing survival is usually analysed as a trait of the sow, but this precludes estimation of any direct genetic effects associated with individual piglets. In order to estimate these effects, which are particularly important for sire lines, it is necessary to fit an animal model. However this can be computationally very demanding. We show how direct and maternal genetic effects can be estimated with a simpler analysis based on the reduced animal model and we illustrate the method using farrowing survival information on 118 193 piglets in 10 314 litters. We achieve a 30% reduction in computing time and a 70% reduction in memory use, with no important loss of accuracy. This use of the reduced animal model is not only of interest for pig breeding but also for poultry and fish breeding where large full-sib families are performance tested.
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spelling pubmed-26892902009-06-02 Variance components for survival of piglets at farrowing using a reduced animal model White, Ian MS Roehe, Rainer Knap, Pieter W Brotherstone, Sue Genet Sel Evol Research Farrowing survival is usually analysed as a trait of the sow, but this precludes estimation of any direct genetic effects associated with individual piglets. In order to estimate these effects, which are particularly important for sire lines, it is necessary to fit an animal model. However this can be computationally very demanding. We show how direct and maternal genetic effects can be estimated with a simpler analysis based on the reduced animal model and we illustrate the method using farrowing survival information on 118 193 piglets in 10 314 litters. We achieve a 30% reduction in computing time and a 70% reduction in memory use, with no important loss of accuracy. This use of the reduced animal model is not only of interest for pig breeding but also for poultry and fish breeding where large full-sib families are performance tested. BioMed Central 2006-06-23 /pmc/articles/PMC2689290/ /pubmed/16790227 http://dx.doi.org/10.1186/1297-9686-38-4-359 Text en Copyright © 2006 INRA, EDP Sciences
spellingShingle Research
White, Ian MS
Roehe, Rainer
Knap, Pieter W
Brotherstone, Sue
Variance components for survival of piglets at farrowing using a reduced animal model
title Variance components for survival of piglets at farrowing using a reduced animal model
title_full Variance components for survival of piglets at farrowing using a reduced animal model
title_fullStr Variance components for survival of piglets at farrowing using a reduced animal model
title_full_unstemmed Variance components for survival of piglets at farrowing using a reduced animal model
title_short Variance components for survival of piglets at farrowing using a reduced animal model
title_sort variance components for survival of piglets at farrowing using a reduced animal model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689290/
https://www.ncbi.nlm.nih.gov/pubmed/16790227
http://dx.doi.org/10.1186/1297-9686-38-4-359
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