Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.

Detalhes bibliográficos
Autor(a) principal: RIBEIRO, V. M. P.
Data de Publicação: 2017
Outros Autores: MERLO, F. A., GOUVEIA, G. C., WINKELSTROTER, L. K., ABREU, L. R. A., SILVA, M. V. G. B., PANETTO, J. C. do C., PAIVA, L. de C., CEMBRANELLI, M. de A. R., TORAL, F. L. B.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083465
Resumo: The objective of this work was to determine whether the random regression model using linear splines (RRMLS) is suitable to estimate the genetic parameters for productive and reproductive traits of a multiple-breed dairy cattle population, as well as to investigate the effect of the genetic group of the progeny on the genetic merit of the sire. The multiple-trait model (MTM) and the RRMLS with one knot fitted for every genetic group were used to obtain the genetic parameters. Records of 1/2 Holstein + 1/2 Gyr (1/2HG), 5/8 Holstein + 3/8 Gyr (5/8HG), and 3/4 Holstein + 1/4 Gyr (3/4HG) crossbreed dams were considered. The RRMLS showed better fitting. The additive and residual variances estimated by the MTM and the RRMLS were similar. Heritability varied from 0.20 to 0.33 for age at first calving, from 0.09 to 0.22 for first lactation length, and from 0.15 to 0.35 for first lactation 305-day milk yield, according to the genetic composition of the dams. The RRMLS is suitable to estimate the genetic parameters for productive and reproductive traits of multiple-breed dairy cattle populations. The genetic merit of the sires is affected by the genetic group of the progeny by which they are evaluated.
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spelling Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.Raça GirGir (cattle breed)The objective of this work was to determine whether the random regression model using linear splines (RRMLS) is suitable to estimate the genetic parameters for productive and reproductive traits of a multiple-breed dairy cattle population, as well as to investigate the effect of the genetic group of the progeny on the genetic merit of the sire. The multiple-trait model (MTM) and the RRMLS with one knot fitted for every genetic group were used to obtain the genetic parameters. Records of 1/2 Holstein + 1/2 Gyr (1/2HG), 5/8 Holstein + 3/8 Gyr (5/8HG), and 3/4 Holstein + 1/4 Gyr (3/4HG) crossbreed dams were considered. The RRMLS showed better fitting. The additive and residual variances estimated by the MTM and the RRMLS were similar. Heritability varied from 0.20 to 0.33 for age at first calving, from 0.09 to 0.22 for first lactation length, and from 0.15 to 0.35 for first lactation 305-day milk yield, according to the genetic composition of the dams. The RRMLS is suitable to estimate the genetic parameters for productive and reproductive traits of multiple-breed dairy cattle populations. The genetic merit of the sires is affected by the genetic group of the progeny by which they are evaluated.Título em português: Análise genética de características produtivas e reprodutivas em populações multirraciais de bovinos leiteiros.Virginia Mara Pereira Ribeiro, UFMG; Fernanda Albuquerque Merlo, ABCZ; Gabriela Canabrava Gouveia, UFMG; Larissa Kreti Winkelstroter, UFMG; Luiza Rodrigues Alves Abreu, UFMG; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; Leandro de Carvalho Paiva, ABCG; Marcello de Aguiar Rodrigues Cembranelli, ABCZ; Fábio Luiz Buranelo Toral, UFMG.RIBEIRO, V. M. P.MERLO, F. A.GOUVEIA, G. C.WINKELSTROTER, L. K.ABREU, L. R. A.SILVA, M. V. G. B.PANETTO, J. C. do C.PAIVA, L. de C.CEMBRANELLI, M. de A. R.TORAL, F. L. B.2017-12-23T23:34:33Z2017-12-23T23:34:33Z2017-12-2220172017-12-27T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Brasileira, Brasília, DF v. 52, n. 11, p. 1109-1117, nov. 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083465porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-12-23T23:34:40Zoai:www.alice.cnptia.embrapa.br:doc/1083465Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-12-23T23:34:40Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
title Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
spellingShingle Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
RIBEIRO, V. M. P.
Raça Gir
Gir (cattle breed)
title_short Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
title_full Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
title_fullStr Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
title_full_unstemmed Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
title_sort Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
author RIBEIRO, V. M. P.
author_facet RIBEIRO, V. M. P.
MERLO, F. A.
GOUVEIA, G. C.
WINKELSTROTER, L. K.
ABREU, L. R. A.
SILVA, M. V. G. B.
PANETTO, J. C. do C.
PAIVA, L. de C.
CEMBRANELLI, M. de A. R.
TORAL, F. L. B.
author_role author
author2 MERLO, F. A.
GOUVEIA, G. C.
WINKELSTROTER, L. K.
ABREU, L. R. A.
SILVA, M. V. G. B.
PANETTO, J. C. do C.
PAIVA, L. de C.
CEMBRANELLI, M. de A. R.
TORAL, F. L. B.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Virginia Mara Pereira Ribeiro, UFMG; Fernanda Albuquerque Merlo, ABCZ; Gabriela Canabrava Gouveia, UFMG; Larissa Kreti Winkelstroter, UFMG; Luiza Rodrigues Alves Abreu, UFMG; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; Leandro de Carvalho Paiva, ABCG; Marcello de Aguiar Rodrigues Cembranelli, ABCZ; Fábio Luiz Buranelo Toral, UFMG.
dc.contributor.author.fl_str_mv RIBEIRO, V. M. P.
MERLO, F. A.
GOUVEIA, G. C.
WINKELSTROTER, L. K.
ABREU, L. R. A.
SILVA, M. V. G. B.
PANETTO, J. C. do C.
PAIVA, L. de C.
CEMBRANELLI, M. de A. R.
TORAL, F. L. B.
dc.subject.por.fl_str_mv Raça Gir
Gir (cattle breed)
topic Raça Gir
Gir (cattle breed)
description The objective of this work was to determine whether the random regression model using linear splines (RRMLS) is suitable to estimate the genetic parameters for productive and reproductive traits of a multiple-breed dairy cattle population, as well as to investigate the effect of the genetic group of the progeny on the genetic merit of the sire. The multiple-trait model (MTM) and the RRMLS with one knot fitted for every genetic group were used to obtain the genetic parameters. Records of 1/2 Holstein + 1/2 Gyr (1/2HG), 5/8 Holstein + 3/8 Gyr (5/8HG), and 3/4 Holstein + 1/4 Gyr (3/4HG) crossbreed dams were considered. The RRMLS showed better fitting. The additive and residual variances estimated by the MTM and the RRMLS were similar. Heritability varied from 0.20 to 0.33 for age at first calving, from 0.09 to 0.22 for first lactation length, and from 0.15 to 0.35 for first lactation 305-day milk yield, according to the genetic composition of the dams. The RRMLS is suitable to estimate the genetic parameters for productive and reproductive traits of multiple-breed dairy cattle populations. The genetic merit of the sires is affected by the genetic group of the progeny by which they are evaluated.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-23T23:34:33Z
2017-12-23T23:34:33Z
2017-12-22
2017
2017-12-27T11:11:11Z
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 Pesquisa Agropecuária Brasileira, Brasília, DF v. 52, n. 11, p. 1109-1117, nov. 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083465
identifier_str_mv Pesquisa Agropecuária Brasileira, Brasília, DF v. 52, n. 11, p. 1109-1117, nov. 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083465
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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