Modelling of heat stress in a robotic dairy farm. Part 1: thermal comfort indices as the indicators of production loss
Article
Article Title | Modelling of heat stress in a robotic dairy farm. Part 1: thermal comfort indices as the indicators of production loss |
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ERA Journal ID | 3455 |
Article Category | Article |
Authors | Ji, Boyu (Author), Banhazi, Thomas (Author), Ghahramani, Afshin (Author), Bowtell, Les (Author), Wang, Chaoyuan (Author) and Li, Baoming (Author) |
Journal Title | Biosystems Engineering |
Journal Citation | 199, pp. 27-42 |
Number of Pages | 16 |
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.2019.11.004 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S1537511019308785 |
Abstract | Thermal comfort indices (TCIs) have been developed to assess heat stress and model the relationship between thermal parameters (e.g. dry-bulb temperature) and animal responses (e.g. daily milk yield, DMY). The published models typically include temperature humidity index (THI), black globe humidity index, environmental stress index, equivalent temperature index, heat load index, respiration rate index and comprehensive climate index. This study was conducted to compare the performance of these published TCIs using data collected from a robotic farm situated in a subtropical climate region. The comparison also included models formulated between basic thermal parameters and animal responses (DMY and milk temperature (MT)). The statistical analyses found dry-bulb temperature can provide a similar level of performance to other TCIs in assessing heat stress. The spatial variability between on-farm measurements and the local weather station can be neglected when modelling with TCIs and MT. For cows with an average DMY of 31 kg cow−1 d−1, the threshold for significant decline of DMY was reported as THI >64 (P < 0.05). The daily minimum TCIs were found to be highly correlated with production loss, indicating that sufficient night-time cooling was important for preventing production losses. The potential of implementing a simplified assessment of heat stress using an on-line dataset was also demonstrated by this study. |
Keywords | robotic dairy farming, thermal comfort index, heat stress,modelling |
ANZSRC Field of Research 2020 | 300399. Animal production not elsewhere classified |
300205. Agricultural production systems simulation | |
300207. Agricultural systems analysis and modelling | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Centre for Sustainable Agricultural Systems | |
China Agricultural University, China | |
Institution of Origin | University of Southern Queensland |
Funding source | Grant ID research scholarship granted by the University of Southern Queensland |
https://research.usq.edu.au/item/q5828/modelling-of-heat-stress-in-a-robotic-dairy-farm-part-1-thermal-comfort-indices-as-the-indicators-of-production-loss
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