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International Journal of Agriculture Extension and Social Development
International Journal of Agriculture Extension and Social Development
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International Journal of Agriculture Extension and Social Development

2024, Vol. 7, Special Issue 1
Assessing the logistic growth function in connection to growth metrics

Dinesh Kumar Sunwasiya and Lokesh Kumar Chandolia

This study set out to establish which of the different non-linear growth curve model - Von-Bertalanffy, Gompertz, Richards, Weibull, exponential function, and logistic - was most suitable for characterising the growth curve. A total of 715 female and 340 male kids body weight records, taken every three months from birth to the twelveth month of life, were included. Males had a higher asymptotic live weight ("A") than females did. The maturity rate ("C") of males was higher than that of females. In conclusion, live weight as a function of age for male and female goats and sheep was best calculated using non-linear growth models. Calculations were made for residual SS (SSE), residual MS (MSE), AICC, and R². The various goods an animal produces, including milk, meat, and other foods, are impacted by its growth. This phase of the animal's existence is crucial. Since it is hard to interpret a series of weight-age data points analytically, it is preferable to analyse animal growth statistically. Understanding evolutionary change is essential to creating successful breeding strategies, and this is where growth curve inheritance comes in.
Pages : 06-08 | 195 Views | 90 Downloads
How to cite this article:
Dinesh Kumar Sunwasiya, Lokesh Kumar Chandolia. Assessing the logistic growth function in connection to growth metrics. Int J Agric Extension Social Dev 2024;7(1S):06-08. DOI: 10.33545/26180723.2024.v7.i1Sa.229
International Journal of Agriculture Extension and Social Development
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