A COMPREHENSIVE SURVEY ON MASTITIS: DETECTION TECHNIQUES, INFRARED THERMOGRAPHY, AND STRATEGIES FOR SUBCLINICAL MASTITIS PREVENTION


238 / 200

Authors

  • M. Chengathir Selvi Assistant Professor, Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi - 626 005
  • M. Swarnaa Junior Research Fellow, Department of Computer Science and Engineering, Mepco Schlenk Engineering College, sivakasi
  • S.T. Veena Assistant Professor, Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi
  • K. Kanagarajadurai Assistant Professor, Veterinary University Training and Diagnosistic Centre, TANUVAS, Madurai

https://doi.org/10.56093/ijvasr.v53i6.164839

Keywords:

Mastitis, Subclinical mastitis, Infrared thermography, Non-invasive, Somatic Cell Count, California Mastitis Test Kit

Abstract

Mastitis, a prevalent inflammatory condition in the mammary gland of dairy cattle, is primarily caused by bacterial infections and results in reduced milk   production and quality. There are two main types of mastitis: clinical and subclinical. Clinical mastitis is visible through symptoms such as swelling, redness, and abnormal milk secretion, while subclinical mastitis lacks visible signs but still impacts milk production and quality. The economic and health impacts of mastitis in cattle are profound, leading to reduced milk yield, increased veterinary costs, and potential culling of affected animals, contributing to substantial financial losses in the dairy industry. Traditionally, mastitis has been detected through clinical observation, somatic cell count (SCC) analysis, and microbiological tests. However, early detection, especially of subclinical cases, remains challenging. Infrared thermography (IRT) has emerged as a promising, non-invasive tool for early mastitis detection by capturing temperature variations in the udder caused by inflammation. IRT enables the identification of heat patterns associated with infections before clinical signs are visible. This study investigates the potential of IRT as a reliable and cost-effective method for early detection of mastitis in cattle, contributing to  improved  animal  health  and  reduced  economic  losses  for  dairy  farmers

Downloads

Download data is not yet available.

References

Ajose, D.J., Oluwarinde, B.O., Abolarinwa, T.O., Fri, J., Montso, K.P., Fayemi, O.E., Aremu, A.O. and Ateba, C.N. (2022). “Combating Bovine Mastitis in the Dairy Sector in an Era of Antimicrobial Resistance: Ethno-Veterinary Medicinal Option as a Viable Alternative Approach.” Frontiers in Veterinary Science, 9 (April). https://doi.org/10.3389/ fvets.2022.800322.

Alfonseca-Silva, E., Cruz-Villa, J.C., Gutiérrez, L. and Sumano, H. (2021). “Successful Treatment of Recurrent Subclinical Mastitis in Cows Caused by Enrofloxacin Resistant Bacteria by Means of the Sequential Intramammary Infusion of Enrofloxacin HCl-2H2O and Ceftiofur HCl: A Clinical Trial.” Journal of Veterinary Science, 22 (6): e78. https://doi.org/10.4142/ jvs.2021.22.e78.

Alhussien, M.N. and Ajay Kumar Dang. (2020). “Sensitive and Rapid Lateral- Flow Assay for Early Detection of Subclinical Mammary Infection in Dairy Cows.” Scientific Reports, 10 (1): 11161. https://doi.org/10.1038/ s41598-020-68174-0.

Alsaaod, M., Schaefer, A.L., Büscher, W. and Steiner, AWillits et al., (2015). “The Role of Infrared Thermography as a Non-Invasive Tool for the Detection of Lameness in Cattle.” Sensors, 15 (6): 14513–14525. https://doi.org/10.3390/s150614513.

Berry, R. J., Kennedy, A.D., Scott, S.L., Kyle, B.L. and Schaefer, A.L.Willits et al., (2005) (2003). “Daily Variation in the Udder Surface Temperature of Dairy Cows Measured by Infrared Thermography: Potential for Mastitis Detection.” Canadian Journal of Animal Science, 83 (4): 687–693. https://doi.org/10.4141/ A03-012.

Bortolami, A., Fiore, E., Gianesella, M., Corrò, M., Catania, S. and Morgante, M. (2015). “Evaluation of the Udder Health Status in Subclinical Mastitis Affected Dairy Cows through Bacteriological Culture, Somatic Cell Count and Thermographic Imaging.” Polish Journal of Veterinary Sciences, 18 (4): 799– 805. https://doi.org/10.1515/pjvs-2015-0104.

Bradley, A. J. (2002). “Bovine Mastitis: An Evolving Disease.” The Veterinary Journal, 164 (2): 116–28. https:// doi.org/10.1053/tvjl.2002.0724.

Cheng, W. N.Willits et al., (2005) and Han, S.G. (2020). “Bovine Mastitis: Risk Factors, Therapeutic Strategies, and Alternative Treatments — A Review.” Asian-Australasian Journal of Animal Sciences, 33 (11): 699–1713. https://doi.org/10.5713/ajas.20.0156.

Colak, A., Polat, B., Okumus, Z., Kaya, M., Yanmaz, L.E. and Hayirli, A. (2008). “Short Communication: Early Detection of Mastitis Using Infrared Thermography in Dairy Cows.” Journal of Dairy Science, 91 (11): 4244–48. https://doi.org/10.3168/jds.2008-1258.

Dego, O. K. and Tareke, F. (2003). “Bovine Mastitis in Selected Areas of Southern Ethiopia.”, Tropical Animal Health and Production, 35 : 197-205

Dingwell, R.T., Leslie, K.E., Schukken, Y.H., Jan M. Sargeant, and Leo L. Timms. (2003). “Evaluation of the California Mastitis Test to Detect an Intramammary Infection with a Major Pathogen in Early Lactation Dairy Cows.” The Canadian Veterinary Journal, 44 (5): 413–415.

Galfi, A., Radinović, M., Milanov, D., Boboš, S., Pajić, M., Savić, S. and Davidov, I. (2015), “ Electrical Conductivity of Milk and Bacteriological findings in Cows with Subclinical Mastitis” Biotechnology in Animal Husbandry, 31 (4), p 533-541.

George, L.W., Divers, T.J., Norm D. and Frank L.W. (2008). “Chapter 8 - Diseases of the Teats and Udder.” In Rebhun’s Diseases of Dairy Cattle (Second Edition), edited by Thomas J. Divers and Simon F. Peek, 327–94. Saint Louis: W.B. Saunders. https:// doi.org/10.1016/B978-141603137-6.50011-9.

Golzarian, M.R., Soltanali, H., Doosti Irani, O. and Ebrahimi, S.H. (2017). “Possibility of Early detection of bovine mastitis in dairy cows using thermal images processing”. Iranian Journal of Applied Animal Science, 7(4): 549 - 557.

Haxhiaj, K., Wishart, D.S. and Ametaj. B.N. (2022). “Mastitis: What It Is, Current Diagnostics, and the Potential of Metabolomics to Identify New Predictive Biomarkers.” Dairy, 3(4):722–746. https://doi.org/10.3390/dairy3040050.

Hovinen, M., Siivonen, J., Taponen, S., Hänninen, L., Pastell, M., Aisla, A.M. and Pyörälä, S. (2008). “Detection of Clinical Mastitis with the Help of a Thermal Camera.” Journal of Dairy Science, 91 (12):4592–98. https://doi.org/10.3168/jds.2008-1218.

Khakimov, A.R., Pavkin, D.Y., Yurochka, S.S., Astashev, M.E. and Dovlatov, I.M. (2022). Development of an Algorithm for Rapid Herd Evaluation and Predicting Milk Yield of Mastitis Cows Based on Infrared Thermography.” Applied Sciences, 12(13): 6621. https://doi. org/10.3390/app12136621.

Khasanah, H., Setyawan, H.B., Yulianto, R. and Widianingrum, D.C. (2021). “Subclinical Mastitis: Prevalence and Risk Factors in Dairy Cows in East Java, Indonesia.” Veterinary World, 14(8): 2102–8. https://doi.org/10.14202/vetworld.2021.2102-2108.

Kour, S., Sharma, N., Balaji N., Kumar, P., Soodan, J.S., Santos, M.V.D. and Son, Y.O. (2023). “Advances in Diagnostic Approaches and Therapeutic Management in Bovine Mastitis.” Veterinary Sciences, 10(7): 449. https://doi.org/10.3390/vetsci10070449.

Leach, K. A., Green, M.J., Breen, J. E., Huxley, J.N., Macaulay, R., Newton, H.T. and Bradley, A.J. (2008). “Use of Domestic Detergents in the California Mastitis Test for High Somatic Cell Counts in Milk.” Veterinary Record, 163(19): 566–70. https://doi.org/10.1136/vr.163.19.566.

Lintner, T. J., Lange, A. L., Heald, C. W. and Eberhart, R. J. R. J. (1987). “Preparation and Use of Somatic Cell Count Samples (SCCS) for Comparison of Milk Somatic Cell Counting Methods.” Journal of Food Protection, 50(2): 132–35. h t t p s : / / d o i . o r g / 1 0 . 4 3 1 5 / 0 3 6 2 -028X-50.2.132.

Mramba, R.P., and Mohamed, M.A. (2024). “The Prevalence and Factors Associated with Mastitis in Dairy Cows Kept by Small-Scale Farmers in Dodoma, Tanzania.” Heliyon, 10(13). https://doi.org/10.1016/j. heliyon.2024.e34122.

Norberg, E., Hogeveen, H., Korsgaard, I.R., Friggens, N.C., Sloth, K. H. M. N. and Løvendahl, P. (2004). “Electrical Conductivity of Milk: Ability to Predict Mastitis Status.” Journal of Dairy Science, 87(4): 1099–1107. https://doi.org/10.3168/jds.S0022-0302(04)73256-7.

Oliveira, A.V.D., Reis, E.M.B., Ferraz, P.F.P., Barbari, M., Santos, G.S., Cruz, M.V.R., Silva, G.F. and Silva, A.O.L. (2022). “Infrared Thermography as a Technique for Detecting Subclinical BovineMastitis.” Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 74 (6): 992–98. https:// doi.org/10.1590/1678-4162-12834.

Pakrashi, A., Ryan, C., Guéret, C., Berry, D. P., Corcoran, M., Keane, M.T. and Mac Namee, B. (2023). “Early Detection of Subclinical Mastitis in Lactating Dairy Cows Using Cow- Level Features.” Journal of Dairy Science, 106(7): 4978–90. https:// doi.org/10.3168/jds.2022-22803.

Plastridge, W. N. (1958). “Bovine Mastitis: A Review.” Journal of Dairy Science, 41(9): 1141–1181. https://doi.org/10.3168/jds.S0022-0302(58)91071-3.

Polat, B., Colak, A., Cengiz, M., Yanmaz, L.E., Oral, H., Bastan, A., Kaya, S. and Hayirli, A. (2010). “Sensitivity and Specificity of Infrared Thermography in Detection of Subclinical Mastitis in Dairy Cows.” Journal of Dairy Science, 93(8): 3525–35L.E. 32. https://doi. org/10.3168/jds.2009-2807.

Porcionato, M.A.F., Canata, T.F., Oliveira, C.E.L.D. and Santos, M.V.D. (2009). “Udder Thermography of Gir Cows for Subclinical Mastitis Detection.” Revista Brasileira de Engenharia de Biossistemas, 3(3): 251–257. https://doi.org/10.18011/bioeng2009v3n3p251-257.

Pyörälä, S. (2009). “Treatment of Mastitis during Lactation.” Irish Veterinary Journal, 62(4): S40. https://doi. org/10.1186/2046-0481-62-S4-S40.

Ruegg, P.L. (2017a). “A 100-Year Review: Mastitis Detection, Management, and Prevention.” Journal of Dairy Science, 100(12): 10381–10397. https://doi.org/10.3168/jds.2017-13023.

Rust, J.D., Christian, M.J., Vance, C.J., Bolajoko, M.B., Wong, J.T., Suarez-Martinez, J., Allan, F.K. and Peters, A.R. (2023). “A Study of the Effectiveness of a Detergent- BasedCalifornia Mastitis Test (CMT), Using Ethiopian and Nigerian Domestic Detergents, for the Detection of High Somatic Cell Counts in Milk and Their Reliability Compared to the Commercial UK CMT.” Gates Open Research, 5:146. https://doi.org/10.12688/gatesopenres.13369.2.

Sathiyabarathi, M., Jeyakumar, S., Manimaran, A., Pushpadass, H.A., Sivaram, M., Ramesha, K.P., Das, D.N., Kataktalware, M.A., Jayaprakash, G. and Patbandha, T.K. (2016). “Investigation of Body and Udder Skin Surface Temperature Differentials as an Early Indicator of Mastitis in Holstein Friesian Crossbred Cows Using Digital Infrared Thermography Technique”. Veterinary World, 9 (12): 1386–91. https://doi.org/10.14202/vetworld.2016.1386-1391.

Seegers, H., Fourichon, C. and Beaudeau, F. (2003). “Production Effects Related to Mastitis and Mastitis Economics in Dairy Cattle Herds.” Veterinary Research, 34 (5): 475–91. https:// doi.org/10.1051/vetres:2003027.

Silva, R.A.B.D., Stosic, B., Pandorfi, H., Gledson Luiz, P.D.A., Silva, M.V.D. and Batista, P.H.D. (2021). “Classification of Thermal Images of Bovine Mastitis by Computer Vision.” International Journal of Computer Applications, 174 (31): 41–45. https://doi.org/10.5120/ijca2021921256.

Sinha, R., Bhakat, M., Mohanty, T.K., Ranjan, A., Kumar, R., Lone, S.A., Rahim, A., Paray, A.R., Khosla, K. and Danish, Z. (2018). “Infrared Thermography as Non-Invasive Technique for Early Detection of Mastitis in Dairy Animal: A Review.” Agricultural Research Communication Centre - Asian Journal of Dairy and Food Research, 37(1) : 1-6

Tommasoni, C., Fiore, E., Lisuzzo, A. and Gianesella, M. (2023). “Mastitis in Dairy Cattle: On-Farm Diagnostics and Future Perspectives.” Animals : An Open Access Journal from MDPI 13(15): 2538. https://doi. org/10.3390/ani13152538.

Velasco-Bolaños, J., Ceballes-Serrano, C.C., Velásquez-Mejía, D., Riaño- Rojas, J.D., Giraldo, C.E., Carmona, J.U. and Ceballos-Márquez, A. (2021). “Application of Udder Surface Temperature by Infrared Thermography for Diagnosis of Subclinical Mastitis in Holstein Cows Located in Tropical Highlands.” Journal of Dairy Science, 104(9): 10310–23. https://doi.org/10.3168/jds.2020-19894.

Wang, Y., Kang, X., He, Z., Feng, Y. and Liu, G. (2022). “Accurate Detection of Dairy Cow Mastitis with Deep Learning Technology: A New and Comprehensive Detection Method Based on Infrared Thermal Images.” Animal, 16(10): 100646. https://doi. org/10.1016/j.animal.2022.100646.

Willits, S. and Infrared, R. (2005). “Infrared thermography for screening and early detection of mastitis infections in working dairy herds. InfraMation proceedings.- Agricultural and Food Science, ITC 108 A.

Xudong, Z., Xi, K., Ningning, F. and Gang, L. (2020). “Automatic Recognition of Dairy Cow Mastitis from Thermal Images by a Deep Learning Detector.” Computers and Electronics in Agriculture, 178 :105754. https://doi.org/10.1016/j. compag.2020.105754.

Zaninelli, M., Redaelli, V., Luzi, F., Bronzo, V., Mitchell, M., Dell’Orto, V., Bontempo, V., Cattaneo, D. and 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.

Downloads

Submitted

14-02-2025

Published

20-08-2025

How to Cite

M. Chengathir Selvi, M. Swarnaa, S.T. Veena, & K. Kanagarajadurai. (2025). A COMPREHENSIVE SURVEY ON MASTITIS: DETECTION TECHNIQUES, INFRARED THERMOGRAPHY, AND STRATEGIES FOR SUBCLINICAL MASTITIS PREVENTION. Indian Journal of Veterinary and Animal Sciences Research, 53(6), 1-19. https://doi.org/10.56093/ijvasr.v53i6.164839
Citation