Growth curves with heteroscedastic errors in modeling the zootechnical performance of rice bran-fed chickens
DOI:
https://doi.org/10.5902/2179460X88917Keywords:
Gompertz, Logistics, Nonlinear models, Power, Power of the logarithm, ExponentialAbstract
This study aimed to evaluate the growth curves of Pedrês free-range broiler chickens, fed with brown rice bran and enzyme supplementation, during the rearing period from 1 to 70 days. Over time, the body weight and average feed intake of 300 birds were analyzed using the following regression functions: Gompertz and Logistic, considering four different models for the residual variance. The results showed that both models (Gompertz and Logistic) converged under iterative algorithms in the parameter-estimation process. However, the logistic models with residual-variance modeling yielded the best results, providing more precise and practically meaningful estimates without violating basic assumptions.
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