Modelling of heat stress in a robotic dairy farm. Part 4: Time constant and cumulative effects of heat stress

Ji, Boyu and Banhazi, Thomas and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Bowtell, Les and Wang, Chaoyuan and Li, Baoming (2020) Modelling of heat stress in a robotic dairy farm. Part 4: Time constant and cumulative effects of heat stress. Biosystems Engineering, 199. pp. 73-82. ISSN 1537-5110


Abstract

Heat stress is usually assessed using thermal comfort indices (TCIs) that calculate integrated values of temperature, humidity, wind speed and solar radiation. However, the negative effect of heat stress is related not only to the intensity but also the duration of heat stress endured, as well as the accumulated influence from previous time periods. This study was conducted to develop adjusted TCIs which could simultaneously quantify the intensity and duration of heat stress. The data for this study came from production and climate data collected on a robotically milked dairy-farm. Thresholds of heat stress under diurnal pattern (0–24 h) and lag pattern (−90 to 0 d) for different TCIs were identified to be related to a significant decrease of daily milk yields (DMY). An intensity duration index (IDI) was proposed to evaluate daily short-term heat stress (HIDI) and heat stress relief (RIDI), by multiplying the percentage difference between TCIs and their threshold values (i.e. intensity) by the duration. Thresholds of HIDI and RIDI, as well as their sum i.e. IDItotal were identified to describe multiple levels of heat stress with different significant decrease rate of DMY from −0.01 to −0.05 kg∙cow−1∙d−1[DMY]∙(%∙h)−1[IDI]. To evaluate the long-term lag and cumulative effects of heat stress, TCIs with weighted cumulative adjustment (TCIWCE) and heat stress adjustment (TCIHS) were defined by assigning a different level of importance to daily TCIs of the previous period and calculating the average of these weighted TCIs. Multiple linear regressions between DMY and adjusted TCIs (i.e. TCIWCE and TCIHS) were performed considering age, body mass (BM) and days in milk (DIM) as basic independent variables. The adjusted R squared (R2) and residual root mean square (RMS) values of these regressions were used for comparison. Using adjustment TCIWCE or TCIHS was found to increase the adjusted R2 and decrease RSS, indicating an improved explanation of variance in heat stress impact.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - No Department (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Sustainable Agricultural Systems (1 Aug 2018 -)
Date Deposited: 10 Nov 2020 01:49
Last Modified: 23 Apr 2021 00:19
Uncontrolled Keywords: robotic dairy farm; dairy cow; heat stress; thermal comfort index
Fields of Research (2008): 07 Agricultural and Veterinary Sciences > 0702 Animal Production > 070299 Animal Production not elsewhere classified
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070105 Agricultural Systems Analysis and Modelling
Fields of Research (2020): 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3003 Animal production > 300399 Animal production not elsewhere classified
30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300207 Agricultural systems analysis and modelling
Socio-Economic Objectives (2008): B Economic Development > 83 Animal Production and Animal Primary Products > 8305 Primary Animal Products > 830599 Primary Animal Products not elsewhere classified
Identification Number or DOI: https://doi.org/10.1016/j.biosystemseng.2020.07.014
URI: http://eprints.usq.edu.au/id/eprint/40070

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