Year: 2022
Type: article
Abstract: Growth traits are quantitative in nature, with a continuum between high and low performing birds.Growth of the birds up to the point of marketing age is the most crucial, for which, body weights at different time points may be recorded and analyzed.This study was aimed to model the body weights of Rhode Island Red (RIR) chicken for assessment of the best fitted nonlinear model for growth analysis in the present data set.The data on body weights at different ages of RIR chicken were recorded from the experimental layer farm of the ICAR-Central Avian Research Institute, Izatnagar (India) and sex-wise average body weights were estimated.Different nonlinear statistical models (Gompertz, Logistic and Bertalanffy models) were fitted to the body weights, and the goodness of fit of the models was tested using different test statistics.To test the assumptions about the independence of errors in the models, Durbin Watson (DW) test was used, and to test the normality of the errors, Shapiro Wilk's test was used.It was observed that the logistic model was the best fitted model for describing the variations in the body weights of male chicks, while Gompertz model was found to be the most suitable model for explaining growth patterns in female chicken as well as in combined sexes.The expected average body weight of RIR chicken could be determined at any given age under normal conditions utilizing these fitted models.
Source: Indian Journal of Animal Health
Authors: R. Yadav, S. Kumar, M. R. Verma, A. Rahim, J. Debnath, A. K. Das
Language: English
Subfield: Genetics
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4381706153