Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle

Detalhes bibliográficos
Autor(a) principal: Boligon, A. A. [UNESP]
Data de Publicação: 2009
Outros Autores: Mercadante, M. E Z, Baldi, F. [UNESP], Lôbo, R. B., Albuquerque, L. G. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4314/sajas.v39i1.61167
http://hdl.handle.net/11449/71377
Resumo: Mature weight breeding values were estimated using a multi-trait animal model (MM) and a random regression animal model (RRM). Data consisted of 82 064 weight records from 8 145 animals, recorded from birth to eight years of age. Weights at standard ages were considered in the MM. All models included contemporary groups as fixed effects, and age of dam (linear and quadratic effects) and animal age as covariates. In the RRM, mean trends were modelled through a cubic regression on orthogonal polynomials of animal age and genetic maternal and direct and maternal permanent environmental effects were also included as random. Legendre polynomials of orders 4, 3, 6 and 3 were used for animal and maternal genetic and permanent environmental effects, respectively, considering five classes of residual variances. Mature weight (five years) direct heritability estimates were 0.35 (MM) and 0.38 (RRM). Rank correlation between sires' breeding values estimated by MM and RRM was 0.82. However, selecting the top 2% (12) or 10% (62) of the young sires based on the MM predicted breeding values, respectively 71% and 80% of the same sires would be selected if RRM estimates were used instead. The RRM modelled the changes in the (co)variances with age adequately and larger breeding value accuracies can be expected using this model. © South African Society for Animal Science.
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spelling Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattleBeef cattleDifferent modelsGrowthAnimaliaBosMature weight breeding values were estimated using a multi-trait animal model (MM) and a random regression animal model (RRM). Data consisted of 82 064 weight records from 8 145 animals, recorded from birth to eight years of age. Weights at standard ages were considered in the MM. All models included contemporary groups as fixed effects, and age of dam (linear and quadratic effects) and animal age as covariates. In the RRM, mean trends were modelled through a cubic regression on orthogonal polynomials of animal age and genetic maternal and direct and maternal permanent environmental effects were also included as random. Legendre polynomials of orders 4, 3, 6 and 3 were used for animal and maternal genetic and permanent environmental effects, respectively, considering five classes of residual variances. Mature weight (five years) direct heritability estimates were 0.35 (MM) and 0.38 (RRM). Rank correlation between sires' breeding values estimated by MM and RRM was 0.82. However, selecting the top 2% (12) or 10% (62) of the young sires based on the MM predicted breeding values, respectively 71% and 80% of the same sires would be selected if RRM estimates were used instead. The RRM modelled the changes in the (co)variances with age adequately and larger breeding value accuracies can be expected using this model. © South African Society for Animal Science.Faculdade de Ciências Agrárias e Veterinárias UNESP, 14884-000-Jaboticabal (SP)Instituto de Zootecnia Estaçao Experimental de Zootecnia de Sertãozinho, Cx. 63, 14.160-000-Sertãozinho (SP)Faculdade de Medicina de Ribeirão Preto USPFaculdade de Ciências Agrárias e Veterinárias UNESP, 14884-000-Jaboticabal (SP)Universidade Estadual Paulista (Unesp)Estaçao Experimental de Zootecnia de SertãozinhoUniversidade de São Paulo (USP)Boligon, A. A. [UNESP]Mercadante, M. E ZBaldi, F. [UNESP]Lôbo, R. B.Albuquerque, L. G. [UNESP]2014-05-27T11:24:31Z2014-05-27T11:24:31Z2009-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article145-148application/pdfhttp://dx.doi.org/10.4314/sajas.v39i1.61167South African Journal of Animal Sciences, v. 39, n. SUPPL. 1, p. 145-148, 2009.0375-1589http://hdl.handle.net/11449/7137710.4314/sajas.v39i1.61167WOS:0002078383000352-s2.0-799515432572-s2.0-79951543257.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSouth African Journal of Animal Sciences0.9810,387info:eu-repo/semantics/openAccess2024-06-07T18:41:17Zoai:repositorio.unesp.br:11449/71377Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:14:45.530652Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
title Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
spellingShingle Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
Boligon, A. A. [UNESP]
Beef cattle
Different models
Growth
Animalia
Bos
title_short Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
title_full Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
title_fullStr Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
title_full_unstemmed Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
title_sort Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
author Boligon, A. A. [UNESP]
author_facet Boligon, A. A. [UNESP]
Mercadante, M. E Z
Baldi, F. [UNESP]
Lôbo, R. B.
Albuquerque, L. G. [UNESP]
author_role author
author2 Mercadante, M. E Z
Baldi, F. [UNESP]
Lôbo, R. B.
Albuquerque, L. G. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Estaçao Experimental de Zootecnia de Sertãozinho
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Boligon, A. A. [UNESP]
Mercadante, M. E Z
Baldi, F. [UNESP]
Lôbo, R. B.
Albuquerque, L. G. [UNESP]
dc.subject.por.fl_str_mv Beef cattle
Different models
Growth
Animalia
Bos
topic Beef cattle
Different models
Growth
Animalia
Bos
description Mature weight breeding values were estimated using a multi-trait animal model (MM) and a random regression animal model (RRM). Data consisted of 82 064 weight records from 8 145 animals, recorded from birth to eight years of age. Weights at standard ages were considered in the MM. All models included contemporary groups as fixed effects, and age of dam (linear and quadratic effects) and animal age as covariates. In the RRM, mean trends were modelled through a cubic regression on orthogonal polynomials of animal age and genetic maternal and direct and maternal permanent environmental effects were also included as random. Legendre polynomials of orders 4, 3, 6 and 3 were used for animal and maternal genetic and permanent environmental effects, respectively, considering five classes of residual variances. Mature weight (five years) direct heritability estimates were 0.35 (MM) and 0.38 (RRM). Rank correlation between sires' breeding values estimated by MM and RRM was 0.82. However, selecting the top 2% (12) or 10% (62) of the young sires based on the MM predicted breeding values, respectively 71% and 80% of the same sires would be selected if RRM estimates were used instead. The RRM modelled the changes in the (co)variances with age adequately and larger breeding value accuracies can be expected using this model. © South African Society for Animal Science.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-01
2014-05-27T11:24:31Z
2014-05-27T11:24:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.4314/sajas.v39i1.61167
South African Journal of Animal Sciences, v. 39, n. SUPPL. 1, p. 145-148, 2009.
0375-1589
http://hdl.handle.net/11449/71377
10.4314/sajas.v39i1.61167
WOS:000207838300035
2-s2.0-79951543257
2-s2.0-79951543257.pdf
url http://dx.doi.org/10.4314/sajas.v39i1.61167
http://hdl.handle.net/11449/71377
identifier_str_mv South African Journal of Animal Sciences, v. 39, n. SUPPL. 1, p. 145-148, 2009.
0375-1589
10.4314/sajas.v39i1.61167
WOS:000207838300035
2-s2.0-79951543257
2-s2.0-79951543257.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv South African Journal of Animal Sciences
0.981
0,387
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 145-148
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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