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Variance component estimates applying random regression models for test-day milk yield in Caracu heifers (Bos taurus Artiodactyla, Bovidae) Genet. Mol. Biol.
El Faro,Lenira; Cardoso,Vera Lucia; Albuquerque,Lucia Galvão de.
Random regression models (RRM) were used to estimate covariance functions for 2,155 first-lactation milk yields of native Brazilian Caracu heifers. The models included contemporary group (defined as year-month of test and paddock) fixed effects, and quadratic effect of age of cow at calving. Genetic and permanent environmental effects were fitted by a random regression model and Legendre polynomials of days in milk (DIM). Schwarz's Bayesian information criteria (BIC) indicated that the best RRM assumed a six coefficient function for both random effects and a sixth order variance function for residual structure. Akaike's information criteria suggested a model with the same number of coefficients for both effects and a residual structure fitted by a step...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Covariance functions; Dairy cattle; Genetic parameters; Longitudinal data; Milk yield.
Ano: 2008 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572008000400011
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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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Estimation of genetic parameters for test-day milk yield in Khuzestan buffalo PAB
Madad,Mostafa; Hossein-Zadeh,Navid Ghavi; Shadparvar,Abdol Ahad.
Abstract: The objective of this work was to estimate covariance functions for additive genetic and permanent environmental effects, as well as to obtain genetic parameters for buffalo test-day milk yield using random regression models on Legendre polynomials (LPs). A total of 2,538 test-day milk yield (TDMY) records from 516 first lactation records of Khuzestan buffalo, calving from 1993 to 2009 and belonging to 150 herds located in the state of Khuzestan, Iran, were analyzed. The residual variances were modeled through a step function with 1, 5, 6, 9, and 19 classes. The additive genetic and permanent environmental random effects were modeled by LPs of days in milk using quadratic to septic polynomial functions. The model with additive genetic and animal...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Covariance functions; Genetic correlations; Heritability; Legendre polynomial; Milking buffalo..
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000700890
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Weight evaluation of Tabapuã cattle raised in northeastern Brazil using random-regression models Arq. Bras. Med. Vet. Zootec.
Oliveira,M.R.; Azevêdo,D.M.; Malhado,C.; Pires,L.; Martins Filho,R.; Sousa Júnior,S..
ABSTRACT The objective of this study is to compare random-regression models used to describe changes in evaluation parameters for growth in Tabapuã bovine raised in the Northeast of Brazilian. The M4532-5 random-regression model was found to be best for estimating the variation and heritability of growth characteristics in the animals evaluated. Estimates of direct additive genetic variance increased with age, while the maternal additive genetic variance demonstrated growth from birth to up to nearly 420 days of age. The genetic correlations between the first four characteristics were positive with moderate to large ranges. The greatest genetic correlation was observed between birth weight and at 240 days of age (0.82). The phenotypic correlation between...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Age; Covariance functions; Growth curve; Legendre polynomials; Livestock.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352017000200457
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