Abstract
In this research, the aim was to identify the order of the dynamic response of heat production of broiler chickensto steps in air temperature and light intensity. A total of 60 step experiments were performed with air temperature, and 181 stepexperiments were performed with light intensity. Each step experiment was modeled using a transfer function model. For eachexperiment, the order of the dynamic heat production response was determined using the Young identification criterion (YIC).Dynamic response of heat production to steps in temperature showed a firstorder response in 43 of the 60 experiments(i.e., 72%) and a higherorder response in the other cases (28%). Dynamic response of heat production to steps in lightintensity showed a firstorder response in 130 of the 181 cases (72%) and a higherorder response in the remaining 51 steps(28%). Based on modeling accuracy in terms of R2, applying the higherorder models improved the accuracy only in aminority (2% to 5%) of the cases. As a conclusion, it can be stated that, in general, the dynamic response of heat productionof broiler chickens to step changes in air temperature and light intensity can be modeled assuming firstorder dynamics.
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