Multi-trait and random regression mature weight heritability and breeding value estimates in Nelore cattle
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808128778701897728 |