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

Detalhes bibliográficos
Autor(a) principal: Cobuci, Jaime Araújo
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: 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.
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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
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dc.relation.ispartof.pt_BR.fl_str_mv Genetics and molecular biology, Ribeirão Preto. Vol. 30, n. 2 (mar. 2007), p. 349-355
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