Genetic analysis of productive and reproductive traits in multiple-breed dairy cattle populations.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , |
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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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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1822721301774598144 |