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Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions.

Authors :
Idris M
Gay CC
Woods IG
Sullivan M
Gaughan JB
Phillips CJC
Source :
Animals : an open access journal from MDPI [Animals (Basel)] 2023 Mar 22; Vol. 13 (6). Date of Electronic Publication: 2023 Mar 22.
Publication Year :
2023

Abstract

Cattle change their behaviour in response to hot temperatures, including by engaging in stepping that indicates agitation. The automated recording of these responses would be helpful in the timely diagnosis of animals experiencing heat loading. Behavioural responses of beef cattle to hot environmental conditions were studied to investigate whether it was possible to assess behavioural responses by video-digitised image analysis. Open-source automated behavioural quantification software was used to record pixel changes in 13 beef cattle videorecorded in a climate-controlled chamber during exposure to a simulated typical heat event in Queensland, Australia. Increased digitised movement was observed during the heat event, which was related to stepping and grooming/scratching activities in standing animals. The 13 cattle were exposed in two cohorts, in which the first group of cattle ( n = 6) was fed a standard finisher diet based on a high percentage of cereal grains, and the second group of cattle ( n = 7) received a substituted diet in which 8% of the grains were replaced by lucerne hay. The second group displayed a smaller increase in digitised movements on exposure to heat than the first, suggesting less discomfort under hot conditions. The results suggest that cattle exposed to heat display increased movement that can be detected automatically by video digitisation software, and that replacing some cereal grain with forage in the diet of feedlot cattle may reduce the measured activity responses to the heat.<br />Competing Interests: The authors declare no conflicts of interest.

Details

Language :
English
ISSN :
2076-2615
Volume :
13
Issue :
6
Database :
MEDLINE
Journal :
Animals : an open access journal from MDPI
Publication Type :
Academic Journal
Accession number :
36978665
Full Text :
https://doi.org/10.3390/ani13061125