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Genetic parameters for test-day yield of milk, fat and protein in buffaloes estimated by random regression models

Published online by Cambridge University Press:  23 March 2012

Rúsbel R. Aspilcueta-Borquis ,
Francisco R. Araujo Neto ,
Fernando Baldi ,
Daniel J. A. Santos ,
Lucia G. Albuquerque  and
Humberto Tonhati
Rúsbel R. Aspilcueta-Borquis
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal 14884 900, SP, Brazil
Francisco R. Araujo Neto
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal 14884 900, SP, Brazil
Fernando Baldi
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal 14884 900, SP, Brazil
Daniel J. A. Santos
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal 14884 900, SP, Brazil
Lucia G. Albuquerque
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal 14884 900, SP, Brazil Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq) and Instituto Nacional de Ciência e Tecnologia – Ciência Animal (INCT – CA), Viçosa 36570 000, MG, Brazil
Humberto Tonhati*
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal 14884 900, SP, Brazil Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq) and Instituto Nacional de Ciência e Tecnologia – Ciência Animal (INCT – CA), Viçosa 36570 000, MG, Brazil
*
*For correspondence; e-mail: tonhati@fcav.unesp.br
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Abstract

The test-day yields of milk, fat and protein were analysed from 1433 first lactations of buffaloes of the Murrah breed, daughters of 113 sires from 12 herds in the state of São Paulo, Brazil, born between 1985 and 2007. For the test-day yields, 10 monthly classes of lactation days were considered. The contemporary groups were defined as the herd-year-month of the test day. Random additive genetic, permanent environmental and residual effects were included in the model. The fixed effects considered were the contemporary group, number of milkings (1 or 2 milkings), linear and quadratic effects of the covariable cow age at calving and the mean lactation curve of the population (modelled by third-order Legendre orthogonal polynomials). The random additive genetic and permanent environmental effects were estimated by means of regression on third- to sixth-order Legendre orthogonal polynomials. The residual variances were modelled with a homogenous structure and various heterogeneous classes. According to the likelihood-ratio test, the best model for milk and fat production was that with four residual variance classes, while a third-order Legendre polynomial was best for the additive genetic effect for milk and fat yield, a fourth-order polynomial was best for the permanent environmental effect for milk production and a fifth-order polynomial was best for fat production. For protein yield, the best model was that with three residual variance classes and third- and fourth-order Legendre polynomials were best for the additive genetic and permanent environmental effects, respectively. The heritability estimates for the characteristics analysed were moderate, varying from 0·16±0·05 to 0·29±0·05 for milk yield, 0·20±0·05 to 0·30±0·08 for fat yield and 0·18±0·06 to 0·27±0·08 for protein yield. The estimates of the genetic correlations between the tests varied from 0·18±0·120 to 0·99±0·002; from 0·44±0·080 to 0·99±0·004; and from 0·41±0·080 to 0·99±0·004, for milk, fat and protein production, respectively, indicating that whatever the selection criterion used, indirect genetic gains can be expected throughout the lactation curve.

Keywords

Covariance functionsheritabilityLegendre polynomials

Information

Type
Research Article
Information
Journal of Dairy Research , Volume 79 , Issue 3 , August 2012 , pp. 272 - 279
Copyright
Copyright © Proprietors of Journal of Dairy Research 2012

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