Description of growth curve in broiler by using some nonlinear functions

The study was carried out to investigate the more appropriate functionto describe the growth curve in broiler by using threenonlinear functions. The experiment included one hundred day-old unsexed broiler chicks. Three nonlinear functions (Bertalanffy, Gompertz and Logistic nonlinear regression) were usedto identify which of these equations is more fit depending on three criteria: coefficient of determination (R2), mean square error (MSE) and coefficient of Pearson correlation (r). Results revealed that Gompertz is the fittest model. Theestimated values of asymptotic weight (β0), integration constant (β1) and maturity rate (β2) parameters according to Gompertz model were 2939, 4.60 and 0.85 respectively