Bayesian Hierarchical Modeling of Growth via Gompertz Model: An Application in Poultry
نویسندگان
چکیده
Estimation of growth curves of poultry species is of particular importance in animal science. This study aims at fitting hierarchical Gompertz growth curve to Japanese quails body weight data obtained from hatching to 56 days of age weekly. The model involved a random animal effect as well as sex and line effects in asymptotic weight parameters. Model parameters were estimated via Bayesian methodology. The results of the present study indicated a higher asymptotic weight for selection line quail than that of control line. Moreover, as expected, female quails had a higher asymptotic weight than males.
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