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Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model Genet. Mol. Biol.
Cobuci,Jaime Araujo; Euclydes,Ricardo Frederico; Lopes,Paulo Sávio; Costa,Claudio Napolis; Torres,Robledo de Almeida; Pereira,Carmen Silva.
Test-day milk yield records of 11,023 first-parity Holstein cows were used to estimate genetic parameters for milk yield during different lactation periods. (Co)variance components were estimated using two random regression models, RRM1 and RRM2, and the restricted maximum likelihood method, compared by the likelihood ratio test. Additive genetic variances determined by RRM1 and additive genetic and permanent environmental variances estimated by RRM2 were described, using the Wilmink function. Residual variance was constant throughout lactation for the two models. The heritability estimates obtained by RRM1 (0.34 to 0.56) were higher than those obtained by RRM2 (0.15 to 0.31). Due to the high heritability estimates for milk yield throughout lactation and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Random regression models; REML method; Genetic parameters; Test-day milk yield; Holstein cows.
Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572005000100013
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Persistency of lactation using random regression models and different fixed regression modeling approaches R. Bras. Zootec.
Cobuci,Jaime Araujo; Costa,Claudio Napolis.
Milk yield test-day records on the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters and predict breeding values for nine measures of persistency and 305-d milk yield in a random regression animal model using two criteria to define the fixed regression. Legendre polynomials of fourth and fifth orders were used to model the fixed and random regressions of lactation curves. The fixed regressions were adjusted for average milk yield on populations (single) or subpopulations (multiple) formed by cows that calved at the same age and in the same season. Akaike Information (AIC) and Bayesian Information (BIC) criteria indicated that models with multiple regression lactation curves had the best fit to test-day milk records of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Breeding value; Legendre polynomial; Selection; Test-day milk yield.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982012000900005
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Genetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling R. Bras. Zootec.
Cobuci,Jaime Araújo; Costa,Claudio Napolis; Braccini Neto,José; Freitas,Ary Ferreira de.
Records of test-day milk yields of the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters for milk yield by using two alternatives of definition of fixed regression of the random regression models (RRM). Legendre polynomials of fourth and fifth orders were used to model regression of fixed curve (defined based on averages of the populations or multiple sub-populations formed by grouping animals which calved at the same age and in the same season of the year) or random lactation curves (additive genetic and permanent enviroment). Akaike information criterion (AIC) and Bayesian information criterion (BIC) indicated that the models which used multiple regression of fixed lactation curves of lactation multiple regression...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Test-day milk yield; Genetic correlation; Heritability; Legendre polynomial; Selection.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000300013
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