Estudo da produção de leite de caprinos utilizando modelos de regressão aleatória / Study of goat milk production using random regression models

AUTOR(ES)

Felipe Gomes da Silva

FONTE

IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia

DATA DE PUBLICAÇÃO

25/07/2011

RESUMO

Data from the herd of goat industry, Federal University of Viçosa were used to evaluate the factors that influence milk production on the control (PLDC) and content of the Milk constituents (percentages of protein, fat, lactose and total solids in days of collection) in dairy goats fitness, define the best model of random regression using Legendre polynomials orthogonal to the first lactation in Alpine goats and check the effect of different control intervals (7, 14, 21 and 28 days) on genetic evaluation of Alpine goats. The editing of the data was performed using the SAS program, recoding and correction of the pedigree was made using the program RENPED. The program WOMBAT was used in all genetic evaluations. The program RENPED was used to calculate the area under the curve of breeding values for ranges from 7 to 210 and 7 to 290 days of production, resulting accumulated genetic values, A210 and A290 respectively. The Pearson and Spearman correlations were obtained using the SAS program. It was concluded that there is variation in the factors that significantly influenced each trait studied and each race. In genetic evaluation using random regression models, it is recommended to use only the covariate age of dam at kidding, avoiding the use of fixed effect of birth order. The random regression model using orthogonal Legendre polynomials more suitable for genetic evaluation of Alpine goat breed used was fixed regression of order 4, the regression of additive genetic effects of order 2, the regression of permanent environmental effects of order 7 and at least Five classes of residual variance. The prior study of the best model for genetic evaluation of a herd is very important to increase the precision and accuracy of the analysis. Range of controls to evaluate the milk production of Alpine goat breed using random regression models, must be seven days for breeding and improvement programs with high technical level.

ASSUNTO(S)

genetica e melhoramento dos animais domesticos avaliação genética e fenotípica descarte em comum polinômios de legendre genetic and phenotypic evaluation discard in common legendre polynomials

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