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Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions
American Journal of Applied Scientific Research
Volume 1, Issue 2, November 2015, Pages: 6-9
Received: Sep. 25, 2015; Accepted: Oct. 6, 2015; Published: Oct. 14, 2015
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Firas Rashad Al-Samarai, Department of Veterinary Public Health, College of Veterinary Medicine, University of Baghdad, Baghdad, Iraq
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This study was carried out to identify the better function that fit the growth curve in broiler depending on some criteria [coefficient of determination (R2), Adjusted R2 and mean square error (MSE)]. Eighty day-old unsexed broiler chicks (Ross 308) were used in this study for the period from 6/4/2015 to 17/5/2015. The growth data of broiler through 6th weeks were subjected to three nonlinear functions (Weighted Least Square (WLS), Gompertz, and Logistic). Results revealed that the WLS function was the best for fitting the growth curve in the broiler as compared with the two functions. The estimated values of asymptotic weight (β0), the integration constant (β1) and maturity rate (β2) parameters according to WLS model were 2088, -3.68 and 0.14 respectively. In conclusion: The results confirmed that WLS function was more appropriate to describe the growth curve in the broiler (Ross 308) as compared with other functions.
Growth curve, nonlinear functions, broiler
To cite this article
Firas Rashad Al-Samarai, Growth Curve of Commercial Broiler as Predicted by Different Nonlinear Functions, American Journal of Applied Scientific Research. Vol. 1, No. 2, 2015, pp. 6-9. doi: 10.11648/j.ajasr.20150102.11
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