Genetic evaluation for persistency of lactation in Holstein cows using a random regression model

Detalhes bibliográficos
Autor(a) principal: Cobuci,Jaime Araujo
Data de Publicação: 2007
Outros Autores: Euclydes,Ricardo Frederico, Costa,Claudio Napolis, Torres,Robledo de Almeida, Lopes,Paulo Sávio, Pereira,Carmen Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300009
Resumo: A model for analyzing test day records including both fixed and random coefficients was applied to the genetic evaluation of first lactation data for Holstein cows. Data comprising 87045 test-day milk yield records from calving between 1997 and 2001 from Holstein herds in 10 regions of the Brazilian state of Minas Gerais. Six persistency of lactation measures were evaluated using breeding values obtained by random regression analyses. The Wilmink function was used to model the additive genetic and permanent environmental effects. Residual variance was constant throughout lactation. Ranking for animals did not change among criteria for persistency measurements, but ranking changes were observed when the estimated breeding value (EBV) for persistency of lactation was contrasted with those estimated for 305-day milk yield (305MY). The rank correlation estimates for persistency of lactation and 305MY were practically the same for sire and cows, and ranged from -0.45 to 0.69. The EBVs for milk yield during lactation for sires producing daughters with superior 305MY indicate genetic differences between sires regarding their ability to transmit desirable persistency of lactation traits. This suggests that selection for total lactation milk yield does not identify sires or cows that are genetically superior in regard to persistency of lactation. Genetic evaluation for persistency of lactation is important for improving the efficiency of the milk production capacity of Holstein cows.
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spelling Genetic evaluation for persistency of lactation in Holstein cows using a random regression modelgenetic evaluationpersistency of lactationrank correlationrandom regression modelsA model for analyzing test day records including both fixed and random coefficients was applied to the genetic evaluation of first lactation data for Holstein cows. Data comprising 87045 test-day milk yield records from calving between 1997 and 2001 from Holstein herds in 10 regions of the Brazilian state of Minas Gerais. Six persistency of lactation measures were evaluated using breeding values obtained by random regression analyses. The Wilmink function was used to model the additive genetic and permanent environmental effects. Residual variance was constant throughout lactation. Ranking for animals did not change among criteria for persistency measurements, but ranking changes were observed when the estimated breeding value (EBV) for persistency of lactation was contrasted with those estimated for 305-day milk yield (305MY). The rank correlation estimates for persistency of lactation and 305MY were practically the same for sire and cows, and ranged from -0.45 to 0.69. The EBVs for milk yield during lactation for sires producing daughters with superior 305MY indicate genetic differences between sires regarding their ability to transmit desirable persistency of lactation traits. This suggests that selection for total lactation milk yield does not identify sires or cows that are genetically superior in regard to persistency of lactation. Genetic evaluation for persistency of lactation is important for improving the efficiency of the milk production capacity of Holstein cows.Sociedade Brasileira de Genética2007-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300009Genetics and Molecular Biology v.30 n.2 2007reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572007000300009info:eu-repo/semantics/openAccessCobuci,Jaime AraujoEuclydes,Ricardo FredericoCosta,Claudio NapolisTorres,Robledo de AlmeidaLopes,Paulo SávioPereira,Carmen Silvaeng2007-06-04T00:00:00Zoai:scielo:S1415-47572007000300009Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2007-06-04T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
title Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
spellingShingle Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
Cobuci,Jaime Araujo
genetic evaluation
persistency of lactation
rank correlation
random regression models
title_short Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
title_full Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
title_fullStr Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
title_full_unstemmed Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
title_sort Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
author Cobuci,Jaime Araujo
author_facet Cobuci,Jaime Araujo
Euclydes,Ricardo Frederico
Costa,Claudio Napolis
Torres,Robledo de Almeida
Lopes,Paulo Sávio
Pereira,Carmen Silva
author_role author
author2 Euclydes,Ricardo Frederico
Costa,Claudio Napolis
Torres,Robledo de Almeida
Lopes,Paulo Sávio
Pereira,Carmen Silva
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cobuci,Jaime Araujo
Euclydes,Ricardo Frederico
Costa,Claudio Napolis
Torres,Robledo de Almeida
Lopes,Paulo Sávio
Pereira,Carmen Silva
dc.subject.por.fl_str_mv genetic evaluation
persistency of lactation
rank correlation
random regression models
topic genetic evaluation
persistency of lactation
rank correlation
random regression models
description A model for analyzing test day records including both fixed and random coefficients was applied to the genetic evaluation of first lactation data for Holstein cows. Data comprising 87045 test-day milk yield records from calving between 1997 and 2001 from Holstein herds in 10 regions of the Brazilian state of Minas Gerais. Six persistency of lactation measures were evaluated using breeding values obtained by random regression analyses. The Wilmink function was used to model the additive genetic and permanent environmental effects. Residual variance was constant throughout lactation. Ranking for animals did not change among criteria for persistency measurements, but ranking changes were observed when the estimated breeding value (EBV) for persistency of lactation was contrasted with those estimated for 305-day milk yield (305MY). The rank correlation estimates for persistency of lactation and 305MY were practically the same for sire and cows, and ranged from -0.45 to 0.69. The EBVs for milk yield during lactation for sires producing daughters with superior 305MY indicate genetic differences between sires regarding their ability to transmit desirable persistency of lactation traits. This suggests that selection for total lactation milk yield does not identify sires or cows that are genetically superior in regard to persistency of lactation. Genetic evaluation for persistency of lactation is important for improving the efficiency of the milk production capacity of Holstein cows.
publishDate 2007
dc.date.none.fl_str_mv 2007-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300009
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572007000300009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.30 n.2 2007
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
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