Esra YAVUZ, Ayşe Betül ÖNEM, Fahrettin KAYA, Demet ÇANGA, Mustafa ŞAHİN

Modeling of Individual Growth Curves in Japanese Quails

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.

Keywords:

Japanese quail, growth curve, Models,

PDF

___

Aggrey SE. 2002. Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poultry Science, 81: 1782-1788.
Akbaş Y, Oğuz I. 1998. Growth curve parameters of lines of Japanese quail (Coturnix coturnix japonica), unselected and selected for four-week body weight. Arch. Geflügelk, 62(3): 104-109.
Alkan S, Mendeş M, Karabağ K, Balcıoğlu MS. 2009. Effects short term divergent selection of 5-week body weight on growth characteristics in Japanese quail. Arch Geflugelkd. 73: 124–131.
Anthony NB, Nestor KE, Bacon WL. 1986. Growth curves of Japanese quail as modified by divergent selection for 4-week body weight. Poultry Science, 65: 1825-1833.
Balcıoğlu MS, Kızılkaya K, Yolcu HI, Karabağ K. 2005. Analysis of growth characteristics in short-term divergently selected Japanese quail. S Afr J Anim Sci, 35: 83–89.
Beiki H, Pakdel A, Moradi-shahrbabak M, Mehrban H. 2013. Evaluation of growth functions on Japanese quail lines. J Poult Sci. 50: 20–27.
Bilgin OC, Esenbuğa N. 2003. Parameter estimation in nonlinear growth models. Anim. Prod, 44(2): 81-90.
Hyankova L, Knizetova H, Dedkova L, Hort J. 2001. Divergent selection shape of growth curve in Japanese quail 1. responses in growth parameters and food conversion. Br. Poultry Sci, 42: 583-589.
Narinç D, Aksoy T, Karaman E. 2010. Genetic parameters of growth curve parameters and weekly body weights in Japanese quails (Coturnix coturnix japonica). J Anim Vet Adv, 9: 501–507.
Narinç D, Aksoy T, Karaman E, Karabağ K. 2009. Effect of selection applied in the direction of high live weight on growth parameters in Japanese quail. Mediterr Agric Sci, 22: 149–156.
Önder H, Boz MA, Sarıca M, Abacı SH, Yamak US. 2017. Comparison of growth curve models in Turkish native geese, Europ Poult Sci, 81: 1-8.
Soysal MI, Tuna YT, Gürcan EK, Özkan E. 1999. A Study on the comparison of various linear and nonlinear growth curves in Japanese quails (Coturnix coturnix japonica). Livestock Res Jour, 9(1-2): 40-44.
Talpaz H, De La Torre JR, Sharpe PJH, Hurwitz S. 1986. Dynamic optimization model for feeding of broilers. Agric Sys, 20: 121-132.
Üçkardeş F, Korkmaz M, Ocal P. 2013. Comparison of models and estimation of missing parameters of some mathematical models related to in situ dry matter degradation. J Anim Plant Sci, 23: 999–1007.
Üçkardeş F, Narinç D. 2014. An application of modified Logistic and Gompertz growth models in Japanese quail. Indian J Anim Sci, 84: 903–907.