Modelos não lineares mistos na análise de curvas de crescimento de bovinos da raça Tabapuã

• Autor(a) principal: Pereira, Nayara Negrão
• Data de Publicação: 2014
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/4080
• topic: Bovino - Melhoramento genético; Bovino - Curva de crescimento; Coeficientes aleatórios; Máxima verossimilhança marginal; Cattle - Breeding; Cattle - Growth curve; Random coefficients; Marginal maximum likelihood; CNPQ::CIENCIAS AGRARIAS

The analysis of growth curves of animals has been widely used to increase the efficiency of beef cattle ranching. Related to growth curves with nonlinear mixed models strategic, studies have strategic applications in genetic improving programs in defining selection criteria for earliness and weight gain, aimed at, that for each individual is estimated a random coefficient, facilitating identification and selection of more efficient animals based on the coefficients. This methodology considers the variability between and within individuals. The objective of this study was to evaluate the efficiency of the adjustment of growth curves by nonlinear mixed models. Nonlinear models, Michaelis-Menten Modified, Logistic, von Bertalanffy, Gompertz, Richards and Brody, were fitted, with and without the incorporation of random effects for analysis of growth in beef cattle Tabapuã race. For comparison between fixed and mixed models were used the following adjustment quality evaluators: Akaike s information criterion (AIC), Bayesian information criterion (BIC), mean absolute deviation (DMA), mean square error (MSE) and coefficient of determination (R2). The use of nonlinear mixed model was efficient to describe bovine growth curves.