Abstract:This paper explores the egg laying rules of Huoyan geese under the group breeding environment in Liaoning area. In this experiment, the egg production performance of 3000 Huoyan goose breeding geese was measured, and the egg production rate curves were fitted by Wood model, McMillan model and Yang Ning model respectively. We selected the optimal model based on the Rvalue and the Akaike Information Criterion (AIC). The results showed that the curve fitting model F test was significantly different, which can be used to fit the laying rate of Huoyan goose breeding geese. The egg production rate fitted the Yangning model with the highest R (R = 0.874), followed by the compartmental model (R = 0.855), and the Wood model had the lowest fitting degree (R = 0.424), and the AIC index was Yangning model < compartmental model < Wood model. In this experiment, the Huoyan geese started laying later than the actual ones, and the peak duration of egg production rate above 40% was shorter. In summary, the Yang Ning model is suitable for fitting the egg production rate of Huoyan goose breeding geese, and can evaluate and predict its egg production regularity. During the production process, feeding management should be carried out scientifically and rationally according to the model and the characteristics of the laying curve, so as to achieve the optimization of production efficiency.