Modelıng of Egg Productıon Curves in Poultry

In this study, some models used in the modeling of egg yield curves in laying hens were examined comparatively. For this purpose, the weekly egg yields of Nick Brown and Leghorn chickens from 18th to 59th weeks were used. In the modeling study, two widely used cubic segment regression (two and three node), logistic, MMF, gamma, McNally, modified compartmental and quadratic segment regression models were discussed. In the comparison of the models, mean square error, coefficient of determination, corrected coefficient of determination, acoustic information criterion and durbin-watson autocorrelation values were used. As a result of the study, the best results were obtained from the modified compartmental model in both races (Nick Brown; HKO=0.000007, R2=0.9999, R ̅^2=0.9998, AIC=-392.966, DW=1.345: Leghorn; HKO=0.0001, R2=0.9998, R ̅^2=0.9997, AIC=-373.225, DW=1.845). The quadratic segment regression has the worst results among the examined models (Nick Brown; HKO=0.0007, R2=0.9486, R ̅^2=0.9412 AIC=-298.257, DW=2.341: Leghorn; HKO=0.0002, R2=0.9787, R ̅^2=0.9776, AIC=-340.824, DW=2.171).