Comparison of Three Nonlinear functions for Describing Chicken Growth Curves
Journal Title: Scientia Agriculturae - Year 2015, Vol 9, Issue 3
Abstract
The study was conducted to evaluate some nonlinear functions used to describe the growth curve in broiler and to identify the better function according to some criteria [coefficient of determination (R2), mean square error (MSE) and coefficient of Pearson correlation (r)].The experiment included ninety day-old unsexed broiler chicks (Ross 308). Three nonlinear functions (Gompertz, Logistic and Bertalanffy nonlinear functions) were used in the present study. Results revealed that the Gompertz function was the best for fitting the growth curve in broiler as compared with the two functions. The estimated values of asymptotic weight (β0), integration constant (β1) and maturity rate (β2) parameters according to Gompertz model were 2973, 4.67 and 0.05respectively. The age and weight of inflection point (IPA, IPW) of Gompertz function was 31.20 days and 1094 gm respectively whereas the highest growth rate (max increment) was 54.70. In conclusion: The results confirmed that Gompertz function was more appropriate to describe the growth curve in the broiler (Ross 308) as compared with other functions.
Authors and Affiliations
Fatten A Mohammed
Keywords
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- EP ID EP100389
- DOI 10.15192/PSCP.SA.2015.9.3.120123
- Views 108
- Downloads 0
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