Abstract:A avicultura refere-se a um importante setor do agronegócio no Brasil. Nos últimos anos, inúmeras modificações ocorreram no setor avícola, tais como o uso das tecnologias e da adoção de ferramentas computacionais com grau variado de complexidade. Registros de estudos de crescimento animal por meio de modelos matemáticos foram ainda descritos no século passado (XX). Desse modo, modelos não lineares como Gompertz têm sido utilizados em estudos do crescimento de aves. Nesse contexto, a presente revisão objetiva d… Show more
“…One of the advantages of using nonlinear models is that they allow summarizing information of a data set of longitudinal nature from animals that are developing in different classes of fixed effects (diets, sex, environments) in a few numbers of parameters associated with a specific function that describes the trajectory of phenotypic development [34][35][36][37].…”
Our aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 records of males and females were used, respectively. The body weights were regressed on age of the animals using nonlinear models (Brody; Gompertz; Logistic, Morgan-Mercer-Flodin, Richards and Von Bertalanffy). All model parameters were considered fixed, whereas parameters related to asymptotic weight and maturity rate were fitted as random effects. The Bayesian Information Criterion was used to find the model of best fit. For both genders, the model that used the Morgan-Mercer-Flodin function with the inclusion of asymptotic weight as a random effect was considered the best-fitting model because it reduced the residual variance and increased the accuracy. Based on the lower absolute growth rate and growth velocity of male quails compared to that of females, it can be inferred that males should be slaughtered later. Given the results of this study, it can contribute to the current knowledge about animal yield, specifically at the best moment to slaughter and, this sense, improv the quality genetic of the populations in time.
“…One of the advantages of using nonlinear models is that they allow summarizing information of a data set of longitudinal nature from animals that are developing in different classes of fixed effects (diets, sex, environments) in a few numbers of parameters associated with a specific function that describes the trajectory of phenotypic development [34][35][36][37].…”
Our aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 records of males and females were used, respectively. The body weights were regressed on age of the animals using nonlinear models (Brody; Gompertz; Logistic, Morgan-Mercer-Flodin, Richards and Von Bertalanffy). All model parameters were considered fixed, whereas parameters related to asymptotic weight and maturity rate were fitted as random effects. The Bayesian Information Criterion was used to find the model of best fit. For both genders, the model that used the Morgan-Mercer-Flodin function with the inclusion of asymptotic weight as a random effect was considered the best-fitting model because it reduced the residual variance and increased the accuracy. Based on the lower absolute growth rate and growth velocity of male quails compared to that of females, it can be inferred that males should be slaughtered later. Given the results of this study, it can contribute to the current knowledge about animal yield, specifically at the best moment to slaughter and, this sense, improv the quality genetic of the populations in time.
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