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

SIMPLE SUMMARY: Cattle are vulnerable to hot environmental temperatures, and this can lead to severe heat stress, resulting in behaviour and welfare issues. The automated recording of cattle behavioural responses would be helpful in the timely diagnosis of cattle experiencing heat loading. We invest...

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Autores principales: Idris, Musadiq, Gay, Caitlin C., Woods, Ian G., Sullivan, Megan, Gaughan, John B., Phillips, Clive J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044595/
https://www.ncbi.nlm.nih.gov/pubmed/36978665
http://dx.doi.org/10.3390/ani13061125
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author Idris, Musadiq
Gay, Caitlin C.
Woods, Ian G.
Sullivan, Megan
Gaughan, John B.
Phillips, Clive J. C.
author_facet Idris, Musadiq
Gay, Caitlin C.
Woods, Ian G.
Sullivan, Megan
Gaughan, John B.
Phillips, Clive J. C.
author_sort Idris, Musadiq
collection PubMed
description SIMPLE SUMMARY: Cattle are vulnerable to hot environmental temperatures, and this can lead to severe heat stress, resulting in behaviour and welfare issues. The automated recording of cattle behavioural responses would be helpful in the timely diagnosis of cattle experiencing heat loading. We investigated whether video-digitised image analysis could identify behavioural responses of cattle, especially during heat stress conditions. It was further explored whether a substituted diet (in which some of the grain normally fed as a finisher diet was substituted for forage) would affect the behavioural responses to heat stress, which were measured by digitised movements. An increased digitally recorded movement in animals was observed during high environmental temperatures, which was related to stepping and grooming/scratching activities in standing animals. Under hot temperatures, cattle on the substituted diet displayed less discomfort in terms of a smaller increase in digitally recorded movements than those on the finisher diet. The results suggest that automated video digitisation software could be used as a non-invasive tool for tracking cattle behavioural responses during hot conditions and may have broader applications for behavioural studies. 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.
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spelling pubmed-100445952023-03-29 Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions Idris, Musadiq Gay, Caitlin C. Woods, Ian G. Sullivan, Megan Gaughan, John B. Phillips, Clive J. C. Animals (Basel) Article SIMPLE SUMMARY: Cattle are vulnerable to hot environmental temperatures, and this can lead to severe heat stress, resulting in behaviour and welfare issues. The automated recording of cattle behavioural responses would be helpful in the timely diagnosis of cattle experiencing heat loading. We investigated whether video-digitised image analysis could identify behavioural responses of cattle, especially during heat stress conditions. It was further explored whether a substituted diet (in which some of the grain normally fed as a finisher diet was substituted for forage) would affect the behavioural responses to heat stress, which were measured by digitised movements. An increased digitally recorded movement in animals was observed during high environmental temperatures, which was related to stepping and grooming/scratching activities in standing animals. Under hot temperatures, cattle on the substituted diet displayed less discomfort in terms of a smaller increase in digitally recorded movements than those on the finisher diet. The results suggest that automated video digitisation software could be used as a non-invasive tool for tracking cattle behavioural responses during hot conditions and may have broader applications for behavioural studies. 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. MDPI 2023-03-22 /pmc/articles/PMC10044595/ /pubmed/36978665 http://dx.doi.org/10.3390/ani13061125 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Idris, Musadiq
Gay, Caitlin C.
Woods, Ian G.
Sullivan, Megan
Gaughan, John B.
Phillips, Clive J. C.
Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions
title Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions
title_full Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions
title_fullStr Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions
title_full_unstemmed Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions
title_short Automated Quantification of the Behaviour of Beef Cattle Exposed to Heat Load Conditions
title_sort automated quantification of the behaviour of beef cattle exposed to heat load conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044595/
https://www.ncbi.nlm.nih.gov/pubmed/36978665
http://dx.doi.org/10.3390/ani13061125
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