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Gayathri SL, Bhakat M, Mohanty TK. Seasonal assessment of mastitis using thermogram analysis in murrah buffaloes. J Therm Biol 2024; 121:103842. [PMID: 38608549 DOI: 10.1016/j.jtherbio.2024.103842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 02/27/2024] [Accepted: 03/13/2024] [Indexed: 04/14/2024]
Abstract
Mastitis is a global threat that challenges dairy farmers' economies worldwide. Sub-clinical mastitis (SCM) beholds the lion's share in it, as its visible clinical signs are not evident and are challenging to diagnose. The treatment of intramammary infection (IMI) demands antimicrobial therapy and subsequent milk withdrawal for a week or two. This context requires a non-invasive diagnostic tool like infrared thermography (IRT) to identify mastitis. It can form the basis of precision dairy farming. Therefore, the present study focuses on thermal imaging of the udder and teat quarters of Murrah buffaloes during different seasons to identify SCM and clinical mastitis (CM) cases using the Darvi DTL007 camera. A total of 30-45 lactating Murrah buffalo cows were screened out using IRT regularly throughout the year 2021-22. The IMI was further screened using the California mastitis test. The thermogram analysis revealed a significant difference (p < 0.01) in the mean values of the udder and teat skin surface temperature of Murrah buffaloes between healthy, SCM, and CM during different seasons. The mean values of udder skin surface temperature (USST) during different seasons ranged between 30.28 and 36.81 °C, 32.54 to 38.61 °C, and 34.32 to 40.02 °C among healthy, SCM, and CM-affected quarters. Correspondingly, the mean values of teat skin surface temperature (TSST) were 30.52 to 35.96 °C, 32.92 to 37.55 °C, and 34.51 to 39.05 °C, respectively. Further results revealed an increase (p < 0.01) in the mean values of USST during winter, summer, rainy, and autumn as 2.26, 4.04; 2.19, 3.35; 1.80, 3.21; and 1.45, 2.64 °C and TSST as 2.40, 3.99; 2.28, 3.26; 1.59, 3.09; and 1.68, 2.92 °C of SCM, CM-affected quarters to healthy quarters, respectively. The highest incidence of SCM was observed during autumn and CM during winter. Henceforth, irrespective of the seasons studied in the present study, IRT is an efficient, supportive tool for the early identification of SCM.
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Affiliation(s)
- S L Gayathri
- Livestock Production Management Division, ICAR- National Dairy Research Institute, Karnal, Haryana-132001, India.
| | - M Bhakat
- Livestock Production Management Division, ICAR- National Dairy Research Institute, Karnal, Haryana-132001, India.
| | - T K Mohanty
- Livestock Production Management Division, ICAR- National Dairy Research Institute, Karnal, Haryana-132001, India.
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Reza MN, Ali MR, Samsuzzaman, Kabir MSN, Karim MR, Ahmed S, Kyoung H, Kim G, Chung SO. Thermal imaging and computer vision technologies for the enhancement of pig husbandry: a review. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2024; 66:31-56. [PMID: 38618025 PMCID: PMC11007457 DOI: 10.5187/jast.2024.e4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/03/2024] [Accepted: 01/03/2024] [Indexed: 04/16/2024]
Abstract
Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.
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Affiliation(s)
- Md Nasim Reza
- Department of Smart Agricultural Systems,
Graduate School, Chungnam National University, Daejeon 34134,
Korea
- Department of Agricultural Machinery
Engineering, Graduate School, Chungnam National University,
Daejeon 34134, Korea
| | - Md Razob Ali
- Department of Agricultural Machinery
Engineering, Graduate School, Chungnam National University,
Daejeon 34134, Korea
| | - Samsuzzaman
- Department of Agricultural Machinery
Engineering, Graduate School, Chungnam National University,
Daejeon 34134, Korea
| | - Md Shaha Nur Kabir
- Department of Agricultural Industrial
Engineering, Faculty of Engineering, Hajee Mohammad Danesh Science and
Technology University, Dinajpur 5200, Bangladesh
| | - Md Rejaul Karim
- Department of Agricultural Machinery
Engineering, Graduate School, Chungnam National University,
Daejeon 34134, Korea
- Farm Machinery and Post-harvest Processing
Engineering Division, Bangladesh Agricultural Research
Institute, Gazipur 1701, Bangladesh
| | - Shahriar Ahmed
- Department of Agricultural Machinery
Engineering, Graduate School, Chungnam National University,
Daejeon 34134, Korea
| | - Hyunjin Kyoung
- Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea
| | - Gookhwan Kim
- National Institute of Agricultural
Sciences, Rural Development Administration, Jeonju 54875,
Korea
| | - Sun-Ok Chung
- Department of Smart Agricultural Systems,
Graduate School, Chungnam National University, Daejeon 34134,
Korea
- Department of Agricultural Machinery
Engineering, Graduate School, Chungnam National University,
Daejeon 34134, Korea
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Algharib SA, Dawood AS, Huang L, Guo A, Zhao G, Zhou K, Li C, Liu J, Gao X, Luo W, Xie S. Basic concepts, recent advances, and future perspectives in the diagnosis of bovine mastitis. J Vet Sci 2024; 25:e18. [PMID: 38311330 PMCID: PMC10839174 DOI: 10.4142/jvs.23147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 10/23/2023] [Accepted: 10/23/2023] [Indexed: 02/07/2024] Open
Abstract
Mastitis is one of the most widespread infectious diseases that adversely affects the profitability of the dairy industry worldwide. Accurate diagnosis and identification of pathogens early to cull infected animals and minimize the spread of infection in herds is critical for improving treatment effects and dairy farm welfare. The major pathogens causing mastitis and pathogenesis are assessed first. The most recent and advanced strategies for detecting mastitis, including genomics and proteomics approaches, are then evaluated . Finally, the advantages and disadvantages of each technique, potential research directions, and future perspectives are reported. This review provides a theoretical basis to help veterinarians select the most sensitive, specific, and cost-effective approach for detecting bovine mastitis early.
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Affiliation(s)
- Samah Attia Algharib
- Engineering Laboratory for Tarim Animal Diseases Diagnosis and Control, College of Animal Science and Technology, Tarim University, Alar, Xinjiang 843300, China
- Key Laboratory of Tarim Animal Husbandry & Science Technology of Xinjiang Production & Construction Corps., Alar, Xinjiang 843300, China
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MAO Key Laboratory for Detection of Veterinary Drug Residues, Wuhan, Hubei 430070, China
- Department of Clinical Pathology, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh 13736, QG, Egypt
| | - Ali Sobhy Dawood
- The State Key Laboratory of Agricultural Microbiology, (HZAU), Wuhan, Hubei 430070, China
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, University of Sadat City, Sadat City 32897, Egypt
| | - Lingli Huang
- MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Aizhen Guo
- The State Key Laboratory of Agricultural Microbiology, (HZAU), Wuhan, Hubei 430070, China
| | - Gang Zhao
- Key Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western China, School of Life Sciences, Ningxia University, Yinchuan, Ningxia 750021, China
| | - Kaixiang Zhou
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MAO Key Laboratory for Detection of Veterinary Drug Residues, Wuhan, Hubei 430070, China
| | - Chao Li
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MAO Key Laboratory for Detection of Veterinary Drug Residues, Wuhan, Hubei 430070, China
| | - Jinhuan Liu
- Engineering Laboratory for Tarim Animal Diseases Diagnosis and Control, College of Animal Science and Technology, Tarim University, Alar, Xinjiang 843300, China
| | - Xin Gao
- College of Integrated Chinese and Western Medicine, Southwest Medical University, Lu Zhou, Sichuan 646000, China
| | - Wanhe Luo
- Engineering Laboratory for Tarim Animal Diseases Diagnosis and Control, College of Animal Science and Technology, Tarim University, Alar, Xinjiang 843300, China
- Key Laboratory of Tarim Animal Husbandry & Science Technology of Xinjiang Production & Construction Corps., Alar, Xinjiang 843300, China.
| | - Shuyu Xie
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MAO Key Laboratory for Detection of Veterinary Drug Residues, Wuhan, Hubei 430070, China
- The State Key Laboratory of Agricultural Microbiology, (HZAU), Wuhan, Hubei 430070, China.
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Costa EDO, Gordiano LA, Ferreira FG, Santos SA, de Carvalho GGP, de Araújo MLGML, Tosto MSL. Thermography as an indicator of goat welfare in an intensive production system. Trop Anim Health Prod 2023; 55:373. [PMID: 37874396 DOI: 10.1007/s11250-023-03791-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 10/10/2023] [Indexed: 10/25/2023]
Abstract
This study evaluated the welfare of Saanen, Moxoto, and Anglo-Nubian goats kept in collective or individual pens for a feedlot system, evaluated with infrared thermography. A total of twenty-four goats were used, eight for each breed. Animals were distributed in a completely randomized design, with a 2 × 3 factorial with two fixed effects: housing type (collective or individual pens) and breed (Moxoto, Saanen, and Anglo-Nubian). The surface temperature was evaluated using an infrared thermographic camera, and behavioral analysis was based on the qualitative behavior assessment using a fixed list of descriptors. The breed was not different for all behavior evaluations and surface temperature (p>0.05). There was a difference between the housing types, where the collective pens showed goats more agitated, frustrated, and sociable (p<0.05). There was an influence of agitated, apathetic, frustrated, attentive, and curious behaviors on surface temperatures, in which feet and body temperatures decreased in these goats. (p<0.05). Moxoto, Anglo-Nubian, and Saanen goats showed similar behavior even when kept in collective or individual pens. Individual pens can restrict the goats' social relationships but reduce negative behaviors such as irritation and frustration. The lower foot temperatures of feedlot goats are related to the attention behavior in 86.75% of the observations.
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Affiliation(s)
- Eduardo de O Costa
- School of Veterinary Medicine and Animal Science, Federal University of Bahia (UFBA), Salvador, Brazil
| | - Layse A Gordiano
- School of Veterinary Medicine and Animal Science, Federal University of Bahia (UFBA), Salvador, Brazil
| | - Fernanda G Ferreira
- School of Veterinary Medicine and Animal Science, Federal University of Bahia (UFBA), Salvador, Brazil
| | - Stefanie A Santos
- School of Veterinary Medicine and Animal Science, Federal University of Bahia (UFBA), Salvador, Brazil
| | | | | | - Manuela S L Tosto
- School of Veterinary Medicine and Animal Science, Federal University of Bahia (UFBA), Salvador, Brazil.
- Department of Animal Science, School of Veterinary Medicine and Animal Science/Federal University of Bahia, Salvador, Bahia, 40.170-110, Brazil.
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Hulme PE, Beggs JR, Binny RN, Bray JP, Cogger N, Dhami MK, Finlay-Smits SC, French NP, Grant A, Hewitt CL, Jones EE, Lester PJ, Lockhart PJ. Emerging advances in biosecurity to underpin human, animal, plant, and ecosystem health. iScience 2023; 26:107462. [PMID: 37636074 PMCID: PMC10450416 DOI: 10.1016/j.isci.2023.107462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023] Open
Abstract
One Biosecurity is an interdisciplinary approach to policy and research that builds on the interconnections between human, animal, plant, and ecosystem health to effectively prevent and mitigate the impacts of invasive alien species. To support this approach requires that key cross-sectoral research innovations be identified and prioritized. Following an interdisciplinary horizon scan for emerging research that underpins One Biosecurity, four major interlinked advances were identified: implementation of new surveillance technologies adopting state-of-the-art sensors connected to the Internet of Things, deployable handheld molecular and genomic tracing tools, the incorporation of wellbeing and diverse human values into biosecurity decision-making, and sophisticated socio-environmental models and data capture. The relevance and applicability of these innovations to address threats from pathogens, pests, and weeds in both terrestrial and aquatic ecosystems emphasize the opportunity to build critical mass around interdisciplinary teams at a global scale that can rapidly advance science solutions targeting biosecurity threats.
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Affiliation(s)
- Philip E. Hulme
- The Centre for One Biosecurity Research, Analysis and Synthesis, Lincoln University, PO Box 85084, Lincoln, Christchurch 7648, New Zealand
- Department of Pest Management and Conservation, Lincoln University, PO Box 85084, Lincoln, Christchurch 7648, New Zealand
| | - Jacqueline R. Beggs
- Centre for Biodiversity and Biosecurity, School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
| | - Rachelle N. Binny
- Manaaki Whenua - Landcare Research, PO Box 69040, Lincoln, New Zealand
| | - Jonathan P. Bray
- The Centre for One Biosecurity Research, Analysis and Synthesis, Lincoln University, PO Box 85084, Lincoln, Christchurch 7648, New Zealand
- Department of Pest Management and Conservation, Lincoln University, PO Box 85084, Lincoln, Christchurch 7648, New Zealand
| | - Naomi Cogger
- Tāwharau Ora, School of Veterinary Science, Massey University, Palmerston North 4472, New Zealand
| | - Manpreet K. Dhami
- Manaaki Whenua - Landcare Research, PO Box 69040, Lincoln, New Zealand
| | | | - Nigel P. French
- Tāwharau Ora, School of Veterinary Science, Massey University, Palmerston North 4472, New Zealand
| | - Andrea Grant
- Scion, 10 Kyle Street, Riccarton, Christchurch 8011, New Zealand
| | - Chad L. Hewitt
- The Centre for One Biosecurity Research, Analysis and Synthesis, Lincoln University, PO Box 85084, Lincoln, Christchurch 7648, New Zealand
| | - Eirian E. Jones
- The Centre for One Biosecurity Research, Analysis and Synthesis, Lincoln University, PO Box 85084, Lincoln, Christchurch 7648, New Zealand
- Department of Pest Management and Conservation, Lincoln University, PO Box 85084, Lincoln, Christchurch 7648, New Zealand
| | - Phil J. Lester
- School of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington, New Zealand
| | - Peter J. Lockhart
- School of Natural Sciences, Massey University, Palmerston North 4472, New Zealand
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6
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Mincu M, Nicolae I, Gavojdian D. Infrared thermography as a non-invasive method for evaluating stress in lactating dairy cows during isolation challenges. Front Vet Sci 2023; 10:1236668. [PMID: 37745218 PMCID: PMC10517876 DOI: 10.3389/fvets.2023.1236668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/28/2023] [Indexed: 09/26/2023] Open
Abstract
The overall objective of the current data report was to evaluate and test the feasibility of using infrared thermography (IRT) as a non-invasive method for measuring stress signs in lactating dairy cows during short negative challenges, such as visual isolation from herd-mates. The study was carried out at the Experimental Farm of the Research and Development Institute for Bovine Romania, on 20 Holstein-Friesian lactating multiparous dairy cows, between August and September 2022. Cows were housed in two identical tied stanchion barns (170/85 cm), and were isolated individually from the herd for 240 min post-morning milking. Our results shown significant (p ≤ 0.05) rises for both orbital and nasal IRT temperatures following the isolation challenge, suggesting that such approaches could represent adequate tools for assessing social stress in cattle. Overall, current results are in accordance with previous studies which validated both eye and nasal regions as IRT thermal windows for studying the effects of painful and negative contexts on stress response in farmed ruminants, while considering the stress-induced hyperthermia as an integral part of the physiological response to negative stimuli, as well as the current limitations that this tool faces.
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Affiliation(s)
| | | | - Dinu Gavojdian
- Laboratory of Cattle Production Systems, Research and Development Institute for Bovine, Balotesti, Romania
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Whittaker AL, Muns R, Wang D, Martínez-Burnes J, Hernández-Ávalos I, Casas-Alvarado A, Domínguez-Oliva A, Mota-Rojas D. Assessment of Pain and Inflammation in Domestic Animals Using Infrared Thermography: A Narrative Review. Animals (Basel) 2023; 13:2065. [PMID: 37443863 DOI: 10.3390/ani13132065] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 06/17/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Pain assessment in domestic animals has gained importance in recent years due to the recognition of the physiological, behavioral, and endocrine consequences of acute pain on animal production, welfare, and animal model validity. Current approaches to identifying acute pain mainly rely on behavioral-based scales, quantifying pain-related biomarkers, and the use of devices monitoring sympathetic activity. Infrared thermography is an alternative that could be used to correlate the changes in the superficial temperature with other tools and thus be an additional or alternate acute pain assessment marker. Moreover, its non-invasiveness and the objective nature of its readout make it potentially very valuable. However, at the current time, it is not in widespread use as an assessment strategy. The present review discusses scientific evidence for infrared thermography as a tool to evaluate pain, limiting its use to monitor acute pain in pathological processes and invasive procedures, as well as its use for perioperative monitoring in domestic animals.
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Affiliation(s)
- Alexandra L Whittaker
- School of Animal and Veterinary Sciences, Roseworthy Campus, University of Adelaide, Roseworthy, SA 5116, Australia
| | - Ramon Muns
- Agri-Food and Biosciences Institute, Hillsborough, Co Down BT 26 6DR, Northern Ireland, UK
| | - Dehua Wang
- School of Life Sciences, Shandong University, Qingdao 266237, China
| | - Julio Martínez-Burnes
- Facultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma de Tamaulipas, Victoria City 87000, Mexico
| | - Ismael Hernández-Ávalos
- Clinical Pharmacology and Veterinary Anesthesia, Facultad de Estudios Superiores Cuautitlán, Universidad Nacional Autónoma de México (UNAM), Cuautitlán 54714, Mexico
| | - Alejandro Casas-Alvarado
- Neurophysiology, Behaviour and Animal Welfare Assessment, DPAA, Xochimilco Campus, Universidad Autónoma Metropolitana, Mexico City 04960, Mexico
| | - Adriana Domínguez-Oliva
- Agri-Food and Biosciences Institute, Hillsborough, Co Down BT 26 6DR, Northern Ireland, UK
- Neurophysiology, Behaviour and Animal Welfare Assessment, DPAA, Xochimilco Campus, Universidad Autónoma Metropolitana, Mexico City 04960, Mexico
| | - Daniel Mota-Rojas
- Neurophysiology, Behaviour and Animal Welfare Assessment, DPAA, Xochimilco Campus, Universidad Autónoma Metropolitana, Mexico City 04960, Mexico
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