A review of measuring, assessing and mitigating heat stress in dairy cattle
Article
Article Title | A review of measuring, assessing and mitigating heat stress in dairy cattle |
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ERA Journal ID | 3455 |
Article Category | Article |
Authors | Ji, Boyu (Author), Banhazi, Thomas (Author), Perano, Kristen (Author), Ghahramani, Afshin (Author), Bowtell, Les (Author), Wang, Chaoyuan (Author) and Li, Baoming (Author) |
Journal Title | Biosystems Engineering |
Journal Citation | 199, pp. 4-26 |
Number of Pages | 23 |
Year | 2020 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 1537-5110 |
1537-5129 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.biosystemseng.2020.07.009 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S1537511020302026 |
Abstract | Heat stress is a significant challenge in dairy farming systems. Dairy cows under heat stress will encounter impaired welfare leading to production losses. As the frequency and magnitude of heat stress events increase in the coming decades, a focus on heat stress reduction studies becomes important. Modelling and on-farm experiments have been used to assess the effects of heat stress on livestock over the last few decades. Mitigation solutions including optimal shed structure, ventilation, feeding regimes, farm management and genetic selection have all been explored. However, under different farm conditions, the heat tolerance and coping ability of dairy cows can vary significantly. Until now, the results from different mathematical models have provided a variety of heat stress thresholds for on-farm use. In practice, it is still costly to determine an accurate heat stress level in order to identify the mitigation requirements. This review summarises previous studies on the effects of heat stress on intensively reared dairy cows and different mitigation approaches. We have undertaken a comparative analysis of thermal indices, animal responses, and mitigation approaches. Recommendations are then given for developing a framework to enhance the measurement, assessment and mitigation of heat stress. Robust monitoring systems, big data analyses and artificial intelligence algorithms are needed for the future development of dynamic, self-calibrating model-based systems, which could provide real-time assessment and minimisation of heat stress. |
Keywords | precision livestock farming; dairy cowheat stress; thermal index |
ANZSRC Field of Research 2020 | 300399. Animal production not elsewhere classified |
300207. Agricultural systems analysis and modelling | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Faculty of Health, Engineering and Sciences |
Cornell University, United States | |
Centre for Sustainable Agricultural Systems | |
China Agricultural University, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5z87/a-review-of-measuring-assessing-and-mitigating-heat-stress-in-dairy-cattle
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