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Random regression models to estimate genetic parameters for milk production of Guzerat cows using orthogonal Legendre polynomials PAB
Peixoto,Maria Gabriela Campolina Diniz; Santos,Daniel Jordan de Abreu; Borquis,Rusbel Raul Aspilcueta; Bruneli,Frank Ângelo Tomita; Panetto,João Cláudio do Carmo; Tonhati,Humberto.
The objective of this work was to compare random regression models for the estimation of genetic parameters for Guzerat milk production, using orthogonal Legendre polynomials. Records (20,524) of test-day milk yield (TDMY) from 2,816 first-lactation Guzerat cows were used. TDMY grouped into 10-monthly classes were analyzed for additive genetic effect and for environmental and residual permanent effects (random effects), whereas the contemporary group, calving age (linear and quadratic effects) and mean lactation curve were analized as fixed effects. Trajectories for the additive genetic and permanent environmental effects were modeled by means of a covariance function employing orthogonal Legendre polynomials ranging from the second to the fifth order....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bos indicus; Covariance functions; Lactation curve; Test-day model.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000500372
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