Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , , |
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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Genetics and Molecular Biology |
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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 |
_version_ |
1752122380634816512 |