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P-ISSN: 2618-060X, E-ISSN: 2618-0618   |   Impact Factor: RJIF 5.24, NAAS (2024): 5.20

2024, Vol. 7, Special Issue 1

Study of exponential function toward growth parameters and correlation of small ruminants


Dinesh Kumar Sunwasiya and Lokesh Kumar Chandolia

This study set out to identify which of the different non-linear growth curve model - Von-Bertalanffy, Gompertz, Richards, Weibull, exponential function, and logistic - was best suited for characterising the growth curve. It included body weight records for 715 female and 340 male kids, recorded every three months from birth to the 12th month of age. Asymptotic live weight ("A") was higher in males than in females. Males had a higher maturity rate ("C") than females. In conclusion, live weight as a function of age for male and female goats and sheep was best estimated using non-linear growth models. Residual SS (SSE), Residual MS (MSE), AICC and R² were calculated as 13.086, 1.1897, 8.7528 and 97.07, respectively. Growth impacts the different products an animal produces, such as milk, meat, and other foods. It is an important stage in the animal's life. It is better to study animal growth statistically because it is difficult to understand a sequence of weight-age data points analytically. Growth curve inheritance is necessary to comprehend evolutionary change for developing effective breeding approaches.
Pages : 01-03 | 259 Views | 143 Downloads
How to cite this article:
Dinesh Kumar Sunwasiya, Lokesh Kumar Chandolia. Study of exponential function toward growth parameters and correlation of small ruminants. Int J Res Agron 2024;7(1S):01-03. DOI: 10.33545/2618060X.2024.v7.i1a.208
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