Nonlinear mixed effects models for comparing growth curves for Guzerá cattle

• Autor(a) principal: ALVES,Raphael Fernandes Soares
• Data de Publicação: 2020
• Outros Autores: PEREIRA,Kaléo Dias, CARNEIRO,Antônio Policarpo Souza, EMILIANO,Paulo Cesar, CARNEIRO,Paulo Luiz Souza, MALHADO,Carlos Henrique Mendes, MARTINS FILHO,Raimundo
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Saúde e Produção Animal
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-99402020000100801
• topic: confidence interval; Gompertz model; von Bertalanffy model; Brazilian Northeast; fit quality

ABSTRACT The objective of the present work was to evaluate the accuracy of the fitted Gompertz and von Bertalanffy models for male and female Guzerá cattle, respectively. Four production regions in Northeast Brazil were included in the models as a fixed effect, and the animals were included as a random effect. In addition, the coefficients of the growth models in the production regions were compared. The accuracy of the fit equations was assessed with the Akaike information criterion, Bayesian information criterion, mean absolute deviation, mean squared error, and coefficient of determination. Confidence intervals were used for comparing the production regions. The Guzerá males in the Gado-Algodão and Serra Geral da Bahia production regions were statistically equal in asymptotic weight, and the animals in the Itapetinga-Valadares and Mata-Agreste regions had equivalent maturity rates. The Guzerá females in the Itapetinga-Valadares and Serra Geral da Bahia regions had the same asymptotic weight. The maturity rates in Itapetinga-Valadares were equal to those estimated for Mata-Agreste and Serra Geral da Bahia. The inclusion of the fixed effect of the production region and the random effect of the animals in the models improved the fit quality and increased the possibility of generating growth curves for each region.