Modeling Egg Yield Values in Alectoris Chukar with Nonlinear models Modeling of the Egg Yield Values in Alectoris Chukars
Abstract
In this work, nonlinear models were used to simulate the egg production values of breeding partridges raised in intense settings at the Kahramanmaraş Kapıçam Partridge Production Station. 792 individuals in 22 pens (24 males and 36 females each pen) had their daily and cumulative egg production curves over 81 days collected. The Logistic, Gompertz, and Gamma models were used to cumulative yield curves. Gompertz, Logistic, Richard, McNally, Gamma, Cubic Spline, Quadratic, Quadratic Spline, and Modified Compartmental models were used to assess daily productivity. Model performance was assessed using mean squared error, corrected coefficient of determination, accuracy factor, bias factor, Durbin-Watson statistic, Akaike Information Criterion, adjusted Akaike Information Criterion, and Bayesian Information Criterion. The Gamma model best described cumulative yield (MSE: 44.6, R²: 0.99, accuracy: 1, bias: 1, DW: 1.79, AIC: 221.2, adj. AIC: 221.8, BIC: 317.7), while the McNally model best described daily yield (MSE: 1.2, R²: 0.99, accuracy: 1.0, bias: 1.05, DW: 1.83, AIC: 97.81, BIC: 33.27).
Article Details
- Zitationsvorschlag
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Özkan, C., Ulger, İ, Erer, M., Atalay, A., & Ayasan, T. (2026). Modeling Egg Yield Values in Alectoris Chukar with Nonlinear models: Modeling of the Egg Yield Values in Alectoris Chukars. Journal of the Hellenic Veterinary Medical Society, 77(1), 10145–10152. https://doi.org/10.12681/jhvms.41195
- Ausgabe
- Bd. 77 Nr. 1 (2026)
- Rubrik
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