Comparison of Growth Curves With Non-Linear Models in Japanese Quails of Different Plumage Color
8th International KOP Regional Development Symposium, Nevşehir, Turkey, 26 - 28 October 2021, pp.313-314, (Summary Text)
- Publication Type: Conference Paper / Summary Text
- City: Nevşehir
- Country: Turkey
- Page Numbers: pp.313-314
- Open Archive Collection: AVESIS Open Access Collection
- Dokuz Eylül University Affiliated: Yes
Abstract
Comparison of Growth Curves With Non-Linear Models in Japanese Quails of Different Plumage Color
ABSTRACT
Growth can be defined as increase in the body weight and size of biological creatures until adulthood. The change in body weight during growth is particular importance for both rearing and management. Many non-linear mathematical functions called 'growth models' are used to explain growth in animals. Modeling growth curves in farm animals and estimation the parameters of models can be used as criteria in selection. In this study, four non-linear growth curve models were used to determine the goodness of fit by the body weight measurements of, 80 Brown (B) and 80 Yellow (Y) plumage colored Japanese quail chicks. The chicks were given ad-libitum feed and water throughout the project. Live weights of chicks were measured on the zeroth, 7th, 14th, 21st, 28th, 35th and 42nd days. The average body weights of the chicks were estimated by using the most used growth functions named Gompertz [Yt=ꞵ0e-ꞵ1e(-ꞵ2t)], Logistic [Yt=ꞵ0(1+ꞵ1e(-ꞵ2t))-1], Von Bertalanffy [Yt=ꞵ0(1-ꞵ1e(-ꞵ2t))3] and Richards [Yt=ꞵ0(1+ꞵ1e(-B2t))(1/ꞵ3)] models, and growth curves were fitted. The modeling growth curves and estimation of the parameters were made with non-linear regression by using the Levenberg-Marquardt iteration method in SPSS Version 22. The parameter of the models were estimated, age at point of inflection and weight at point of inflection were calculated. For goodness of fit the models the determination coefficient (R2), adjusted determination coefficient (R2adj), Akaike information criterion (AIC), Bayesian information criterion (BIC) and mean square errors (MSE) were compared. Model with the highest determination coefficient (R2) and adjusted determination coefficient (R2adj) value , and with the lowest Akaike information criterion (AIC), Bayesian information criterion (BIC) and mean square error (MSE) value were determined the best model. According to the criterias the Gompertz model was the best growth curve model for brown (B) and yellow (Y) plumage-colored quails (Coturnix coturnix japonica) in this study.
Keywords: Growth curve, Japanese quail, non-linear regression, parameter estimate, plumage color