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Thermoneutral zone and resting metabolic rate of broilers
British Poultry Science
|October 1, 1983
Summary
This study establishes predictive equations for broiler metabolic rate and lower critical temperature based on age and body weight. These findings enable optimized environmental control for improved broiler performance and reduced costs.
Area of Science:
- Animal Science
- Poultry Science
- Environmental Physiology
Background:
- Broiler production is a significant global industry.
- Optimizing environmental conditions is crucial for broiler health, performance, and economic efficiency.
- Understanding metabolic rate and thermal comfort thresholds is key to effective environmental management.
Purpose of the Study:
- To develop mathematical models describing the metabolic rate of broilers.
- To establish equations for the lower critical temperature (Tcl) in relation to age and body weight.
- To provide data for optimizing environmental control to enhance broiler performance and reduce production costs.
Main Methods:
- Metabolic rate (oxygen consumption) was measured weekly in broilers from 1 to 63 days of age.
- Regression analyses were performed to derive equations for metabolic rate and Tcl based on body weight and age.
- Data were collected for both male and female broilers across different weight and age ranges.
Main Results:
- Specific equations were determined for minimal resting metabolic rate as a function of body weight, differing between sexes and weight categories.
- Equations were established for Tcl in relation to age for young chicks and older birds, as well as a single equation for Tcl versus body weight across sexes.
- Upper critical temperature (Tcu) data were also considered in conjunction with Tcl and metabolic rate equations.
Conclusions:
- The derived equations provide a quantitative basis for understanding broiler energy metabolism and thermal requirements.
- Implementing environmental control strategies based on these equations can lead to maximal broiler performance.
- Optimized environments, informed by these metabolic and thermal models, can significantly reduce production costs in broiler farming.