Genetic avaluation for persistency of lactation in Holstein cows using a random regression model
Autor(a) principal: | |
---|---|
Data de Publicação: | 2007 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/23400 |
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. |
id |
UFRGS-2_ebfadce2ffe2f9800a0077a45df55e32 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/23400 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
spelling |
Cobuci, Jaime AraújoEuclydes, Ricardo FredericoCosta, Claudio NapolisTorres, Robledo de AlmeidaLopes, Paulo SávioPereira, Carmen Silva2010-06-05T04:17:27Z20071415-4757http://hdl.handle.net/10183/23400000595526A 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.application/pdfengGenetics and molecular biology, Ribeirão Preto. Vol. 30, n. 2 (mar. 2007), p. 349-355Genética animalLactaçãoProdução animalGenetic evaluationPersistency of lactationRank correlationRandom regression modelsGenetic avaluation for persistency of lactation in Holstein cows using a random regression modelinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000595526.pdf000595526.pdfTexto completo (inglês)application/pdf204658http://www.lume.ufrgs.br/bitstream/10183/23400/1/000595526.pdfff42fbd8201aa665de606ddd59959affMD51TEXT000595526.pdf.txt000595526.pdf.txtExtracted Texttext/plain27679http://www.lume.ufrgs.br/bitstream/10183/23400/2/000595526.pdf.txt91742f8cff70472a93f4ab6d4e20485cMD52THUMBNAIL000595526.pdf.jpg000595526.pdf.jpgGenerated Thumbnailimage/jpeg1812http://www.lume.ufrgs.br/bitstream/10183/23400/3/000595526.pdf.jpg7daa044da9234c1558fc87eea18c791bMD5310183/234002019-01-17 04:23:16.687555oai:www.lume.ufrgs.br:10183/23400Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2019-01-17T06:23:16Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model |
title |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model |
spellingShingle |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model Cobuci, Jaime Araújo Genética animal Lactação Produção animal Genetic evaluation Persistency of lactation Rank correlation Random regression models |
title_short |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model |
title_full |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model |
title_fullStr |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model |
title_full_unstemmed |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model |
title_sort |
Genetic avaluation for persistency of lactation in Holstein cows using a random regression model |
author |
Cobuci, Jaime Araújo |
author_facet |
Cobuci, Jaime Araújo 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 Araújo Euclydes, Ricardo Frederico Costa, Claudio Napolis Torres, Robledo de Almeida Lopes, Paulo Sávio Pereira, Carmen Silva |
dc.subject.por.fl_str_mv |
Genética animal Lactação Produção animal |
topic |
Genética animal Lactação Produção animal Genetic evaluation Persistency of lactation Rank correlation Random regression models |
dc.subject.eng.fl_str_mv |
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.issued.fl_str_mv |
2007 |
dc.date.accessioned.fl_str_mv |
2010-06-05T04:17:27Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/23400 |
dc.identifier.issn.pt_BR.fl_str_mv |
1415-4757 |
dc.identifier.nrb.pt_BR.fl_str_mv |
000595526 |
identifier_str_mv |
1415-4757 000595526 |
url |
http://hdl.handle.net/10183/23400 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Genetics and molecular biology, Ribeirão Preto. Vol. 30, n. 2 (mar. 2007), p. 349-355 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/23400/1/000595526.pdf http://www.lume.ufrgs.br/bitstream/10183/23400/2/000595526.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/23400/3/000595526.pdf.jpg |
bitstream.checksum.fl_str_mv |
ff42fbd8201aa665de606ddd59959aff 91742f8cff70472a93f4ab6d4e20485c 7daa044da9234c1558fc87eea18c791b |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
|
_version_ |
1815447415773200384 |