This
study was conducted to determine the adaptation of the individual growth curves
of Japanese quails to both female and male quail data modeled by using Richard,
Logistic, Gompertz, Von Bertalanffy, Cubic Spline and Quadratic Spline models.
In the study, 810 quail data consist of 298 females and 512 males were used as
material. For six different models, Mean Square Error (MSE), Durbin-Watson
autocorrelation test (DW), Akaike Information Criteria (AIC), Adjusted
Determination Coefficient (adj. R2)
values were compared for both female and male quails. In addition model
predictions of growth curve parameters were shown. As a result of this study
for individual growth curve models in Japanese quails, MSE= 92.50 ± 17.69,
adj.R2=0.986 ± 0.001, AIC= |-19.21| ± 0.15 and DW= 2.21 ± 0.01 for
female quails MSE= 35,391 ± 9.07, adj.R2=0.997 ± 0.033, AIC=
|-35.04| ± 0.29 and DW= 2.09 ± 0.91 for male quail. It was found the cubic Spline
model, which was the best model for both female and male quails.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | January 1, 2019 |
Submission Date | November 7, 2018 |
Acceptance Date | December 5, 2018 |
Published in Issue | Year 2019 Volume: 2 Issue: 1 |