Abstract
Heat stressed cows produce less milk. Thus, a major challenge during hot summer months is to keep the dairy barn at a comfortable temperature. Use of fans is an economical solution but the combination of both spray and fans appears to be an even more effective way to cool cows and improve the milk production than using fans alone. The goal of this study is to recommend an appropriate method for comparing the dynamics of the cooling processes. The first step is to develop a nonlinear model to characterize the thermoregulatory responses of heat stressed dairy cows when they are lying down. The next step is to evaluate methods of comparing treatment effects such as mixed model analysis of the parameter estimates, nonlinear fixed effects analysis, and nonlinear mixed effects analysis. The final step is to illustrate the recommended analysis.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Zhou, M.; Parkhurst, A. M.; Hillman, P. E.; and Lee, C. N.
(2005).
"MODELING THE BODY TEMPERATURE OF HEAT STRESSED HOLSTEIN LYING COWS UNDER TWO DIFFERENT COOLING PROCESSES,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1136
MODELING THE BODY TEMPERATURE OF HEAT STRESSED HOLSTEIN LYING COWS UNDER TWO DIFFERENT COOLING PROCESSES
Heat stressed cows produce less milk. Thus, a major challenge during hot summer months is to keep the dairy barn at a comfortable temperature. Use of fans is an economical solution but the combination of both spray and fans appears to be an even more effective way to cool cows and improve the milk production than using fans alone. The goal of this study is to recommend an appropriate method for comparing the dynamics of the cooling processes. The first step is to develop a nonlinear model to characterize the thermoregulatory responses of heat stressed dairy cows when they are lying down. The next step is to evaluate methods of comparing treatment effects such as mixed model analysis of the parameter estimates, nonlinear fixed effects analysis, and nonlinear mixed effects analysis. The final step is to illustrate the recommended analysis.
