Loading...

Infrared thermography as non-invasive technique for early detection of mastitis in dairy animals-A review

DOI: 10.18805/ajdfr.R-1746    | Article Id: R-1746 | Page : 1-6
Citation :- Infrared thermography as non-invasive technique for early detection of mastitis in dairy animals-A review.Asian Journal of Dairy and Food Research.2018.(37):1-6
Ranjana Sinha, Mukesh Bhakat, T. K. Mohanty, Ashish Ranjan, Raj Kumar, Shabir Ahmad Lone, Abdul Rahim, Adil Rasool Paray, Kavita Khosla and Ziaullah Danish ndriranjana@gmail.com
Address : Artificial Breeding Research Centre, ICAR-National Dairy Research Institute, Karnal-132 001, Haryana, India.
Submitted Date : 8-08-2017
Accepted Date : 5-12-2017

Abstract

“Mastitis” is one of the major challenges for dairy industry, worldwide, as this is most common and costliest disease of dairy animals and contributes a substantial economical loss to dairy farmers. Subclinical stage of mastitis i.e. Sub-clinical mastitis (SCM) in dairy cow is matter of great concern for farmers as its incidence is more as compared to clinical form. In most of animal farms, monitoring of sub-clinical and clinical mastitis (CM) is usually performed through indirect test such as pH, electrical conductivity, somatic cell count (SCC), California mastitis test (CMT), culture test and biomarker tests. But, apart from these, there is a need of new rapid and sensitive technology to identify udder infections at early stages. Early detection of mastitis using non-invasive technology is need of the hour to reduce the economic loss of the dairy industry and farmers. It is well evident that, skin surface temperature is a critical indicator of bio-physiological health status of an organism. As a result of infection-induced inflammatory reactions, local blood circulation, metabolism and skin surface temperature increases. Thus, by monitoring the emitted heat from udder, can help in early detection of mastitis. Moreover, Infrared thermography (IRT) using highly sensitive thermal camera is able to monitor subtle change in skin surface temperature. IRT with mobile based application can further play an important role in the management of dairy farms on various aspects. 

Keywords

Dairy animals Infrared thermography Mastitis diagnosis

References

  1. Ahmad, T., Bilal, M.Q., Ullah, S. and Muhammad, G. (2005). Effect of severity of mastitis on pH and specific gravity of buffalo milk. Pak J Agri Sci., 42: 3-4.
  2. Alejandro, M., Romero, G., Sabater, J.M. and Diaz, J.R. (2014). Infrared thermography as a tool to determine teat tissue changes caused by machine milking in Murciano Granadina goats. Livest. Sci., 160: 178-185.
  3. Annual Report, 2016-17, Department of Animal Husbandry Dairying and Fisheries, Ministry of Agriculture and Farmers welfare, Government of India, pp 61.
  4. Bangar, Y.C., Singh B, Dohare, A.K. and Verma, M.R. (2015). A systematic review and meta-analysis of prevalence of subclinical mastitis in dairy cows in India. Trop Anim Health Prod., 47: 291–297.
  5. Bansal, B.K., Hamann, J., Grabowski, N. and Singh, K.B. (2005). Variation in the composition of selected milk fraction samples from healthy and mastitis quarters, and its significance for mastitis diagnosis. J Dairy Res., 72: 144-152.
  6. Berry, R.J., Kennedy, A.D., Scott, S.L., Kyle, B.L. and Schaefer, A.L. (2003). Daily variation in the udder surface temperature of dairy cows measured by infrared thermography: Potential for mastitis detection. Can J Anim Sci., 8: 687-693.
  7. Bortolami, A, Fiore, E., Gianesella, M., Corro, 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 J Vet Sci., 18(4): 799–805.
  8. Colak, A., Polat, B., Okumus, Z., Kaya, M., Yanmaz, L.E. and Hayirli A. (2008). Short communication: early detection of masti-tis using infrared thermography in dairy cows. J Dairy Sci., 91: 4244 – 4248.
  9. Collier, R.J. Dahl, G.E. and Van Baale, M.J. (2006). Major advances associated with environmental effects on dairy cattle. J Dairy Sci., 89: 1244-1253.
  10. Department of Animal Husbandry Dairying and Fisheries. Govt. of India. (DAHD and F, GoI.) 2015–16.
  11. Digiovani, D.B., Borges, M.H.F. Galdioli, V.H.G., Matias, B.F. Bernardo, G.M. Silva, T.D.R. and Fávaro, P.C., et al., (2016). Infrared thermography as diagnostic tool for bovine subclinical mastitis detection. Revista Brasileira de Higiene e Sanidade Animal., 10(4): 685-692.
  12. Guha, A., Gera, S. and Sharma, A. (2010). Assessment of chemical and electrolyte profile as an indicator of subclinical mastitis in riverine buffalo (Bubalus bubalis). Haryana Vet., 49: 19-21.
  13. Halasa, T., Huijps, K., Ostera’s, O. and Hogeveen, H. (2007). Economic effects of bovine mastitis and mastitis management: a review. Vet Quart., 29: 18-31.
  14. Halasa, T., Nielen, M., De Roos, A.P.W., Van Hoorne, R., de Jong, G. and Lam, T.J.G.M. (2009). Production loss due to new sub-clinical mastitis in Dutch dairy cows estimated with a test-day model. J Dairy Sci., 92: 599–606.
  15. Hogeveen, H., Pyorala, S., Waller, K.P., Hogan, J.S., Lam, J.G.M.T. and Oliver, S.P. (2011). In Proceedings of the National Mastitis Council 50th Annual Meeting: Arlington. Canada, 2011.
  16. Hovinen, M., Siivonen, J., Taponen, S., Hanninen, L., Pastell, M., Aisla, A.M. and Pyorala, S. (2008). Detection of clinical mastitis with the help of a thermal camera. J. Dairy Sci., 91: 4592-4598.
  17. Joshi, S. and Gokhale, S. (2006). Status of mastitis as an emerging disease in improved and periurbandairy farms in India. Ann New York Acad Sci., 1081: 74-83.
  18. Kamal, R.M., Bayoumi, M.A., Abd, E. and Aal, S.F.A. (2014). Correlation between some direct and indirect tests for screen detection of subclinical mastitis. Int Food Res J., 21: 1249-1254.
  19. Kumar, N., Manimaran, A., Kumaresan, A., Sreela, L., Patbandha, T. K., Tiwari S., and Chandra, S. (2016). Episodes of clinical mastitis and its relationship with duration of treatment and seasonality in crossbred cows maintained in organized dairy farm. Vet. World, 9(1): 71-75 
  20. Kunc, P., Knizkova, I., Prikryl, M. and Maloun J. (2007). Infrared thermography as a toolto study the milking process: a review. Agricultura Tropica et Subtropica., 40(1): 29–32.
  21. Kurjogi, M.M. and Kaliwal, B.B. (2014). Epidemiology of bovine mastitis in cows of Dharwad District. Int Sch Res Notices., 2014 pp 1-9.
  22. Martins, R.F.S., Paim, T., Cardosa, C., Dallago B.S.L., Melo, C.B., Louvandini, H. and McManus, C. (2013). Mastitis detection in sheep by infrared thermography. Res Vet Sci., 94: 722-724.
  23. Mazur, D. and Eugeniusz-Herbut, J.W. (2006). Infrared thermography as a diagnostic method. Roczniki Naukowe Zootechniki., 33: 171–181.
  24. Mdegela, R.H., Ryoba, R., Karimuribo, E.D., Phiri, E.J., Loken, T. and Reksen, O. (2009). Prevalence of clinical and sub-clinical mastitis and quality of milk on smallholder dairy farms in Tanzania. J South African Vet Assoc., 80: 163–168.
  25. Metzner, M., Sauter-Louis, C., Seemueller, P.W. and Klee, W. (2014). Infrared thermography of the udder surface of dairy cattle: Characteristics, methods, and correlation with rectal temperature. Vet J., 199: 57-62.
  26. NAAS. (2013). Mastitis management in dairy animals. Policy Paper No. 61, National Academy of Agricultural Sciences, New Delhi. 1-12.
  27. Norberg, E., Hogeveen, H., Korsgaard, I.R., Friggens, N.C., Sloth, M.N. and Lovendahl, P. (2004). Electrical conductivity of milk: Ability to predict mastitis status. J Dairy Sci., 87: 1099-1107.
  28. Oliveira, L., Hulland, C. and Ruegg, P.L. (2013). Characterization of clinical mastitis occurring in cows on 50 large dairy herds in Wisconsin. J. Dairy Sci., 96(12): 7538-7549.
  29. Paulrud, O., Clausen, S., Andersen, P.E., Bjerring, M. and Rasmussen, M.D. (2005). Infrared thermography and ultrasonography to indirectly monitor the influence of liner type and over milking on teat tissue recovery. Acta Veterinaria Scandinavica., 46: 137-147.
  30. Poikalainen, V., Praks, J., Veermae, I. and Kokin, E. (2012). Infrared temperature patterns of cow’s body as an indicator for health control at precision cattle farming. Agron Res Biosyst Eng., 1: 187-194.
  31. 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. J Dairy Sci., 93: 3525-3532.
  32. Porcionato, M.A., Canata, T.F., De Oliveira, C.E.L. and Santos, M.V.D. (2009). Udder thermography of Gir cows for subclinical mastitis detection. Bio Eng., 3: 251-257.
  33. Radostits, O.M., Gay, C.C., Hinchcliff, K.W. and Constable, P.D. (2007). Veterinary Medicine: A textbook of the diseases of cattle, horses, sheep, pigs and goats. 10th ed., Saunders Company, London.
  34. Sathiyabarathi, M., Jeyakumar, S., Manimaran, A., Heartwin, A.. Pushpadass, Sivaram M, et al. (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. Vet World., 9: 1386-1391.
  35. Scott, S.L., Schaefer A.L., Tong A.K. and Lacasse, P. (2000). Use of infrared thermography for early detection of mastitis in dairy cows. Can J Anim Sci., 80: 764-765.
  36. Seegers, H., Fourichon, C. and Beaudeau, F. (2003). Production effects related to mastitis and mastitis economics in dairy cattle herds. Vet Res., 34: 475-491.
  37. Sharma, N., Srivastava, A. K., Bacic, G., Jeong, D. K. and Sharma R. K. (2012). Epidemiology. In: Bovine mastitis. 1st ed. Satish Serial Publishing House, New Dehli, India p 231-312.
  38. Singh, P.J. and Singh, P.B. (1994). A study of economic losses due to mastitis in India. Indian J Dairy Sci., 47: 265–272.
  39. Sinha, M.K., Thombare, N.N. and Mondal, B. (2014). Subclinical Mastitis in Dairy Animals: Incidence, Economics, and Predisposing Factors. The Scientific World Journal.Volume 2014, Article ID 523984, 4 pages.
  40. Skrzypek, R., Wójtowski, J. and Fahr, R.D. (2004). Factors affecting somatic cell count in cow bulk tank milk – A case study from Poland. J Vet Med., 127–131.
  41. Soroko, M., Dudek, K., Howell, K., Jodkowska, E., Henklewski, R. (2014). Thermographic evaluation of race horse performance. J of Equine Vet Sci., 34(9): 1076–1083. doi: 10.1016/j.jevs.2014.06.009
  42. Srivastava, A.K. (2015). Mastitis in Dairy Animal: Current Concepts and Future Concerns. Satish Serial Publishing House, Delhi, India.1-5.
  43. Stelletta, C., Gianesella, M., Vencato, J., Fiore, E. and Morgante, M. (2012). Thermographic Applications in Veterinary Medicine. In: [Prakash RV (ed)] Infrared Thermography. In Tech, China, 117-140.
  44. Syridion, D., Layak, S.S., Mohanty, T.K., Kumaresan, A., Kalyan, D., Manimaran, A., Prasad, S. and Venkatasubramanian, V. (2013). Effect of production system on milk quality parameters in Holstein Friesian crossbred cows. Indian J Dairy Sci., 66: 424-431.
  45. Vegricht, J., Machalek, A., Ambroz, A.P., Brehme, U. and Rose, S. (2007). Milking-related changes of teat temperature caused by various milking machines. Res Agric Eng., 53(4): 121-125.
  46. Viguier, C., Arora, S., Gilmartin, N., Welbeck, K. and O’Kennedy, R. (2009). Mastitis detection: current trends and future perspectives. Trends Biotechnol., 27: 486-493.
  47. Willits, S. (2005). Infrared thermography for screening and early detection of mastitis infections in working dairy herds. In: Proceedings of Inframation. Las Vegas, 2005 USA. 1–5.

Global Footprints