Genetic evaluation for persistency of lactation in Holstein cows using a random regression model
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...
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Sociedade Brasileira de Genética
2007-03-01
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doaj-823ae3ab3e544c35b0dc495226a32a0d2020-11-25T01:58:43ZengSociedade Brasileira de GenéticaGenetics and Molecular Biology1415-47571678-46852007-03-0130234935510.1590/S1415-47572007000300009Genetic evaluation for persistency of lactation in Holstein cows using a random regression modelJaime Araujo CobuciRicardo Frederico EuclydesClaudio Napolis CostaRobledo de Almeida TorresPaulo Sávio LopesCarmen Silva PereiraA 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300009genetic evaluationpersistency of lactationrank correlationrandom regression models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jaime Araujo Cobuci Ricardo Frederico Euclydes Claudio Napolis Costa Robledo de Almeida Torres Paulo Sávio Lopes Carmen Silva Pereira |
spellingShingle |
Jaime Araujo Cobuci Ricardo Frederico Euclydes Claudio Napolis Costa Robledo de Almeida Torres Paulo Sávio Lopes Carmen Silva Pereira Genetic evaluation for persistency of lactation in Holstein cows using a random regression model Genetics and Molecular Biology genetic evaluation persistency of lactation rank correlation random regression models |
author_facet |
Jaime Araujo Cobuci Ricardo Frederico Euclydes Claudio Napolis Costa Robledo de Almeida Torres Paulo Sávio Lopes Carmen Silva Pereira |
author_sort |
Jaime Araujo Cobuci |
title |
Genetic evaluation for persistency of lactation in Holstein cows using a random regression model |
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 |
publisher |
Sociedade Brasileira de Genética |
series |
Genetics and Molecular Biology |
issn |
1415-4757 1678-4685 |
publishDate |
2007-03-01 |
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. |
topic |
genetic evaluation persistency of lactation rank correlation random regression models |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300009 |
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