Modeling Egg Yield Values in Alectoris Chukar with Nonlinear models


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Özkan Ç. Ö., ÜLGER İ., Erer M., Atalay A. İ., Ayaşan T.

Journal of the Hellenic Veterinary Medical Society, cilt.77, sa.1, ss.10145-10152, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 77 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.12681/jhvms.41195
  • Dergi Adı: Journal of the Hellenic Veterinary Medical Society
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE
  • Sayfa Sayıları: ss.10145-10152
  • Anahtar Kelimeler: Cumulative, Daily, Egg production, Nonlinear models, Partridge
  • Erciyes Üniversitesi Adresli: Evet

Özet

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. A total of 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).