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Gomperzt non-linear model for predicting growth performance of commercial broiler chickens

*A. Setiaji orcid scopus  -  Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
D. A. Lestari  -  Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
B. Ma'rifah  -  Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
L. Krismiyanto  -  Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
I. Agusetyaningsih  -  Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
S. Sugiharto  -  Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
Open Access Copyright (c) 2023 Journal of the Indonesian Tropical Animal Agriculture
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

An experiment was conducted to estimate growth parameters for commercial broiler chickens in Indonesia. The data was collected from July 2021 to June 2022. A total of 1,570 samples consisting of four strains of broiler chickens were collected from 74 houses. The samples were daily weighed from 0 to 7 days of age, and they were weekly weighed from 1 to 5 weeks of age. A nonlinear Gompertz growth model was fitted to the observed body weights (BW). The results for five growth parameters were as follows: the asymptotic value (A) of the mature live weight ranged from 3.733 to 5.044 kg; the turning point of growth (B) ranged from 4.499 to 4.561; the value growth rate constant (K) ranged from 0.049 to 0.059 kg/week; Inflection points in ranged from 25.292 – 30.970 days, and 1.373 – 1.855 kg for inflection age (IA) and inflection weight (IW), respectively. The model was an excellent fit for the growth data in the commercial broiler with a low Akaike information criterion (AIC), and high coeffi-cient determination (R2).

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Gomperzt non-linear model for predicting growth performance of commercial broiler chickens
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Keywords: Asymptotic value; Growth rate constant; Inflection point; Slaughter age; Strains

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