太湖鹅产蛋率和累计产蛋数曲线拟合分析OA

[Objective]This study aimed to investigate the egg-laying performance and patterns of the Taihu goose,and to select the optimal fitting model for the egg-production curve.[Method]For the foundation flock of Taihu goose,the egg production performance was recorded from the onset of lay at 24 weeks of age through 62 weeks of age,and the laying rate and cumulative egg number were statistically analyzed.Fitting models were used to analyze the laying rate(Wood model,Yang Ning model,McMillan model,and cubic equation)and cumulative egg production(Gompertz,Logistic,and Von Bertalanffy)of Taihu goose,and the fitted results were compared with the actual observed values.[Result]The Yang Ning model exhibited the best fitting effect on the laying rate curve of the Taihu goose,with a fitting degree(R2)of 0.971.The fitting effect of the Wood model was the worst,with an R2 value of 0.396.The Gompertz model,Logistic model,and Von Bertalanffy model all provided a good fit for the cumulative egg production curve of the Taihu goose well,with the Gompertz model in particular yielding fitted values closest to the observed values(R2=0.999).[Conclusion]The Yang Ning model and the Gompertz model are the optimal fitting models for the egg production curve of Taihu geese,providing significant guidance for their breeding selection and feeding management.