Nonlinear models for poultry egg production

Two nonlinear models were proposed to describe the poultry egg production curves for first year egg production. These models were compared with gamma type, McNally modified gamma type, compartment, Adams-Bell model, double compartment, logistic - curvilinear and logistic linear on the basis of two data sets pertaining to egg production records arranged in 4-weekly intervals. The fitting of these models was judged with coefficient of determination, mean square error and mean absolute error. A proposed model expressed as N_t = a t^b exp(ct² + dÖ t) was found best among all the models with respect to one data set and described egg production curve better than gamma type, compartment model, Adams-Bell model, double compartment model and McNally model for both data sets.