دورية أكاديمية

Correlation of udder thermogram and somatic cell counts as a tool for detection of subclinical mastitis in buffaloes.

التفاصيل البيبلوغرافية
العنوان: Correlation of udder thermogram and somatic cell counts as a tool for detection of subclinical mastitis in buffaloes.
المؤلفون: Kittur PM; Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India., Satheesan L; Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India., Madhusoodan AP; Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India., Sriranga KR; Livestock Production Management Division, Indian Council of Agricultural Research (ICAR)- National Dairy Research Institute, Karnal, Haryana, India., Kumar D; Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India., Kamboj A; Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India., Dang AK; Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India. rajadang@gmail.com.
المصدر: Veterinary research communications [Vet Res Commun] 2024 Aug; Vol. 48 (4), pp. 2721-2729. Date of Electronic Publication: 2024 Apr 25.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Switzerland NLM ID: 8100520 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7446 (Electronic) Linking ISSN: 01657380 NLM ISO Abbreviation: Vet Res Commun Subsets: MEDLINE
أسماء مطبوعة: Publication: [Cham] : Springer
Original Publication: [Amsterdam] : Elsevier, 1980-
مواضيع طبية MeSH: Buffaloes*/physiology , Thermography*/veterinary , Thermography*/methods , Milk*/cytology , Milk*/chemistry , Mammary Glands, Animal*/physiology , Mastitis*/veterinary , Mastitis*/diagnosis, Animals ; Female ; Cell Count/veterinary ; Sensitivity and Specificity
مستخلص: This study aimed to monitor the mammary health of 37 multiparous Murrah buffaloes through infrared thermography (IRT). Based on the California Mastitis Test (CMT) and milk somatic cell counts (SCC), buffaloes were grouped into healthy (H, n = 16), subclinical mastitis (SCM, n = 10), and clinical mastitis (CM, n = 11). Buffaloes were milked twice daily in the morning (5:00-6:00 AM) and evening (5:00-6:00 PM). Rectal temperature and respiratory rates were recorded, CMT was performed and thermal images of the mammary gland of all the buffaloes were taken before and after each milking. Milk samples were analysed after each milking for SCC, fat, Solids-Not-Fat (SNF), density, protein, lactose, salts, conductivity, and pH immediately in the laboratory from fresh milk samples. The surface temperature of the periocular region of both the eyes, muzzle, flank, and vagina were also taken. Thermal images were used to assess the surface temperature of the udder (USST), teat apex (TAT), teat barrel (TB1T), teat base (TB2T), and teat skin surface (TSST). Eye and USST showed significantly higher temperatures (p < 0.05), whereas skin surface temperatures (SST) of different body parts were non-significant in both SCM and CM animals than buffaloes in the H group. Milk SCC showed a positive correlation with conductivity (r > 0.7), salts, and pH (r < 0.6) and a negative correlation with fat, SNF, density, protein, and lactose. TAT, TB1T, TB2T, TSST, and USST were positively correlated with milk SCC. Receiver Operating Characteristic (ROC) analysis of H and SCM groups showed that USST before milking had optimum sensitivity (Se = 0.80) and specificity (Sp = 0.906) among the various skin temperatures recorded. Thermal images captured during the morning showed higher sensitivity compared to images taken in the evening. Results indicate IRT can be used to monitor the mammary health of buffaloes but using IRT in conjunction with milk SCC can help in the accurate prediction of SCM in dairy buffaloes.
(© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)
References: Alejandro M, Romero G, Sabater JM, Díaz JR (2014) Infrared thermography as a tool to determine teat tissue changes caused by machine milking in Murciano-Granadina goats. Livest Sci 160:178–185. https://doi.org/10.1016/j.livsci.2013.11.029. (PMID: 10.1016/j.livsci.2013.11.029)
Alhussien MN, Panda BS, Dang AK (2021) A comparative study on changes in total and differential milk cell counts, activity, and expression of milk phagocytes of healthy and mastitic indigenous Sahiwal cows. Front Vet Sci 8:670811. https://doi.org/10.3389/fvets.2021.670811. (PMID: 10.3389/fvets.2021.670811342352028255372)
Bertoni A, Mota-Rojas D, Álvarez-Macias A, Mora-Medina P, Guerrero-Legarreta I, Morales-Canela A, Gómez-Prado J, José-Pérez N, Martínez-Burnes J (2020) Scientific findings related to changes in vascular microcirculation using infrared thermography in the river buffalo. J Anim Behav Biometeorol 8(4):288–297. https://doi.org/10.31893/jabb.20038. (PMID: 10.31893/jabb.20038)
Blowey RW, Edmondson P (2010) Mastitis control in dairy herds. Cabi, UK. (PMID: 10.1079/9781845935504.0000)
da Silva RAB, Stosic B, Pandorfi H, de Almeida GLP, da Silva MV, Batista PHD (2021) Classification of thermal images of bovine mastitis by Computer Vision. Int J Comput Appl 174:41–45. https://www.researchgate.net/publication/351002818.
de Lima Carvalhal MV, Sant’Anna AC, Páscoa AG, Jung J, da Costa MJRP (2017) The relationship between water buffalo cow temperament and milk yield and quality traits. Livest Sci 198:109–114. https://doi.org/10.1016/j.livsci.2017.02.016. (PMID: 10.1016/j.livsci.2017.02.016)
Gardner IA, Greiner M (2006) Receiver-operating characteristic curves and likelihood ratios: improvements over traditional methods for the evaluation and application of veterinary clinical pathology tests. Vet Clin Pathol 35(1):8–17. https://doi.org/10.1111/j.1939-165X.2006.tb00082.x. (PMID: 10.1111/j.1939-165X.2006.tb00082.x16511785)
Guccione J, Ciaramella P (2017) Mastitis in Mediterranean buffaloes. J Dairy Vet Sci 2:1–4.
Jingar SC, Mehla RK, Singh M, Kumar A, Kantwa SC, Singh N (2014) Comparative study on the incidence of mastitis during different parities in cows and buffaloes. Indian J Anim Res 48(2):194–197. https://doi.org/10.5958/j.0976-0555.48.2.040. (PMID: 10.5958/j.0976-0555.48.2.040)
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 159–174. https://doi.org/10.2307/2529310.
Lisboa BRF, Silva JARD, Silva WCD, Barbosa AVC, Silva LKX, Lourenço-Júnior JDB (2023) Evaluation of thermoregulation of horses (Equus caballus) submitted to two methods of post-exercise cooling, in hot and humid climate conditions, in the Eastern Amazon. Front Vet Sci 10:1150763. https://doi.org/10.3389/fvets.2023.1150763. (PMID: 10.3389/fvets.2023.11507633713891610149968)
Machado NA, Da Costa LB, Barbosa-Filho JA, De Oliveira KP, De Sampaio LC, Peixoto MS, Damasceno FA (2021) Using infrared thermography to detect subclinical mastitis in dairy cows in compost barn systems. J Therm Biol 97:102881. https://doi.org/10.1016/j.jtherbio.2021.102881. (PMID: 10.1016/j.jtherbio.2021.10288133863445)
McDowell RE (1972) Improvement of livestock production in warm climates. W. H. Freeman & Company, San Francisco.
Minervino AHH, Zava M, Vecchio D, Borghese A (2020) Bubalus bubalis: a short story. Front Vet Sci 7:570413. https://doi.org/10.3389/fvets.2020.570413. (PMID: 10.3389/fvets.2020.570413333359177736047)
Mota-Rojas D, Wang D, Titto CG, Gómez-Prado J, Carvajal-de la Fuente V, Ghezzi M, Boscato-Funes L, Barrios-García H, Torres-Bernal F, Casas-Alvarado A, Martínez-Burnes J (2021) Pathophysiology of fever and application of infrared thermography (IRT) in the detection of sick domestic animals: recent advances. Animals 11(8):2316. https://doi.org/10.3390/ani11082316. (PMID: 10.3390/ani11082316344387728388492)
Nasr MA, El-Tarabany MS (2017) Impact of three THI levels on somatic cell count, milk yield and composition of multiparous holstein cows in a subtropical region. J Therm Biol 64:73–77. https://doi.org/10.1016/j.jtherbio.2017.01.004. (PMID: 10.1016/j.jtherbio.2017.01.00428166949)
Paulrud CO, Clausen S, Andersen PE, Rasmussen MD (2005) Infrared thermography and ultrasonography to indirectly monitor the influence of liner type and overmilking on teat tissue recovery. Acta Vet Scand 46:1–11. https://doi.org/10.1186/1751-0147-46-137. (PMID: 10.1186/1751-0147-46-137)
Peng D, Chen S, Li G, Chen J, Wang J, Gu X (2019) Infrared thermography measured body surface temperature and its relationship with rectal temperature in dairy cows under different temperature-humidity indexes. Int J Biometeorol 63:327–336. https://doi.org/10.1007/s00484-018-01666-x. (PMID: 10.1007/s00484-018-01666-x30680628)
Sathiyabarathi M, Jeyakumar S, Manimaran A, Pushpadass HA, Kumaresan A, Lathwal SS, Sivaram M, Das DN, Ramesha KP, Jayaprakash G (2018) Infrared thermography to monitor body and udder skin surface temperature differences in relation to subclinical and clinical mastitis condition in Karan Fries (Bos taurus× Bos indicus) crossbred cows. Indian J Anim Sci 88(6):694–699. https://pdfs.semanticscholar.org/fdc3/74a3de252409efcad5aec534aee5cacb62ea.pdf.
Srivastava AK, Kumaresan A (2015) Mastitis in dairy animals: an update. New Delhi, India.
Velasco-Bolaños J, Ceballes-Serrano CC, Velásquez-Mejía D, Riaño-Rojas JC, Giraldo CE, Carmona JU, Ceballos-Márquez A (2021) Application of udder surface temperature by infrared thermography for diagnosis of subclinical mastitis in Holstein cows located in tropical highlands. J Dairy Sci 104(9):10310–10323. https://doi.org/10.3168/jds.2020-19894. (PMID: 10.3168/jds.2020-1989434176631)
Wanasinghe DD (1985) Mastitis among buffaloes in Sri Lanka. Proc. First World Buffalo Congr., Cairo, Egypt, 4:1331–1333.
Xudong Z, Xi K, Ningning F, Gang L (2020) Automatic recognition of dairy cow mastitis from thermal images by a deep learning detector. Comput Electron Agric 178:105754. https://doi.org/10.1016/j.compag.2020.105754. (PMID: 10.1016/j.compag.2020.105754)
Zaninelli M, Redaelli V, Luzi F, Bronzo V, Mitchell M, Dell’Orto V, Bontempo V, Cattaneo D, Savoini G (2018) First evaluation of infrared thermography as a tool for the monitoring of udder health status in farms of dairy cows. Sensors 18(3):862. https://doi.org/10.3390/s18030862. (PMID: 10.3390/s18030862295383525877300)
Zhang Q, Yang Y, Liu G, Ning Y, Li J (2023) Dairy cow mastitis detection by thermal infrared images based on CLE-UNet. Animals 13(13):2211. https://doi.org/10.3390/ani131322. (PMID: 10.3390/ani1313223744400910339956)
معلومات مُعتمدة: Grant number BT/PR40092/AAQ/1/789/2020 Dated: 16/09/2021 Department of Biotechnology (DBT), Ministry of Science and Technology, Government of India
فهرسة مساهمة: Keywords: Infrared thermography; Milk; Milk composition; Murrah buffaloes; Teat skin surface temperature; Udder skin surface temperature
تواريخ الأحداث: Date Created: 20240425 Date Completed: 20240809 Latest Revision: 20240809
رمز التحديث: 20240809
DOI: 10.1007/s11259-024-10384-2
PMID: 38662315
قاعدة البيانات: MEDLINE
الوصف
تدمد:1573-7446
DOI:10.1007/s11259-024-10384-2