In improving broiler welfare and ensuring better productivity thermal comfort of broilers is of utmost interest. To estimate the thermal comfort of broilers, the THI model was developed using commonly available meteorological parameters, namely temperature and relative humidity. This research re-examined the model by using the Levenberg-Marquardt Algorithm (Excel Solver) based nonlinear regression model to reduce the error space and generate new model constants unique to Akure, South West, Nigeria. Physiological data (cloacal temperature and body weight) were collected for a period of 6 weeks from 50 broilers raised in a developed adaptive poultry housing. Environmental data on temperature and relative humidity were used to calibrate the THI of the... |