Short- term egg production curve fitting using nonlinear models in Japanese quail

R software. The best model was selected by some statics such as Mean square error (MSE), Akaike information criterion (AIC), Bayesian information criterion (BIC). The results showed that Narushin Takma 2 (minimum MSE, AIC and BIC) and Compartmental I Functions (maximum MSE, AIC and BIC) were the best and worst function to describe the egg production, respectively. The highest correlation (0.953) between predicted and actual values for the number of egg were obtained by Narushin -Takma 2 model. The results of the model comparisons and correlations indicate that Narushin - Takma 2 function describes Short- term egg production in quail better than other functions studied in this research and this function could be considered in a short- term prediction of the reproductive potential Japanese quail in breeding goals