Veterinary World

     Open access and peer reviewed journal  

ISSN (Online): 2231-0916

 

Home l Editorial board l Instructions for authors l Reviewer guideline l Open access policy l Archives l FAQ


Open Access


Research (Published online: 08-12-2016)

9. 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 - M. Sathiyabarathi, S. Jeyakumar, A. Manimaran, Heartwin A. Pushpadass, M. Sivaram, K. P. Ramesha, D. N. Das, Mukund A. Kataktalware, G. Jayaprakash and Tapas Kumar Patbandha

Veterinary World, 9(12): 1386-1391

 

 

   doi: 10.14202/vetworld.2016.1386-1391

 

M. Sathiyabarathi: Livestock Research Centre, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; drmsathiyabarathi@gmail.com

S. Jeyakumar: Livestock Research Centre, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; jeyakumarsakthivel@gmail.com

A. Manimaran: Livestock Research Centre, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; maranpharma@gmail.com

Heartwin A. Pushpadass: Dairy Engineering Section, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; heartwin1@gmail.com

M. Sivaram: Dairy Economics and Statistics, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; sivaram.ndri@gmail.com

K. P. Ramesha: Dairy Production Section, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; kpragb@gmail.com

D. N. Das: Dairy Production Section, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; dndasndri@gmail.com

Mukund A. Kataktalware: Dairy Production Section, Southern Regional Station, Indian Council of Agricultural Research - National Dairy Research Institute, Adugodi, Bengaluru - 560 030, Karnataka, India; mtalware@gmail.com

G. Jayaprakash: Department of Animal Nutrition, College of Veterinary and Animal Sciences, Mannuthy - 680 651, Kerala, India; drgjayaprakash@gmail.com

Tapas Kumar Patbandha: Livestock Production and Management Section, Indian Council of Agricultural Research - National Dairy Research Institute, Karnal - 132 001, Haryana, India; patbandhavet@gmail.com

 

Received: 11-08-2016, Accepted: 08-11-2016, Published online: 08-12-2016

 

Corresponding author: S. Jeyakumar, e-mail: jeyakumarsakthivel@gmail.com


Citation: Sathiyabarathi M, Jeyakumar S, Manimaran A, Pushpadass HA, Sivaram M, Ramesha KP, Das DN, Kataktalware MA, Jayaprakash G, Patbandha TK (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): 1386-1391.



Aim: The objective of this study was to investigate the ability of infrared thermography (IRT) technique and its interrelationship with conventional mastitis indicators for the early detection of mastitis in Holstein Friesian (HF) crossbred cows.

Materials and Methods: A total of 76 quarters of lactating HF crossbred (Bos indicus × Bos taurus) cows (n=19) were monitored for body temperature (i.e., eye temperature) and udder skin surface temperature (USST) before milking using forward-looking infrared (FLIR) i5 camera. Milk samples were collected from each quarter and screened for mastitis using Somatic Cell Count (SCC), Electrical Conductivity (EC), and California mastitis test. Thermographic images were analyzed using FLIR Quick Report 1.2 image analysis software. Data on body and USST were compiled and analyzed statistically using SPSS 16.0 and Sigmaplot 11.

Results: The meanąstandard deviation (SD) body (37.23ą0.08°C) and USST (37.22ą0.04°C) of non-mastitic cow did not differ significantly; however, the mean USST of the mastitis-affected quarters were significantly higher than the body temperature and USST of unaffected quarters (p<0.001). The meanąSD USST of the subclinical mastitis (SCM) and clinical mastitis-affected quarters were 38.08ą0.17 °C and 38.25ą0.33 °C, respectively, which is 0.72 and 1.05 °C higher than the USST temperature of unaffected quarters. The USST was positively correlated with EC (r=0.95) and SCC (r=0.93). The receiver operating characteristic curve analysis revealed a higher sensitivity for USST in early prediction of SCM with a cut-off value of >37.61°C.

Conclusion: It is concluded that infrared thermal imaging technique could be used as a potential noninvasive, quick cowside diagnostic technique for screening and early detection of SCM and clinical mastitis in crossbred cows.

Keywords: diagnosis, lactating cows, mastitis, temperature.



1. Food and Agricultural Organization (FAO). (2014) Food Outlook Biannual Report on Global Food Market. Food and Agricultural Organization, United Nations.
 
2. Sharma, N., Rho, G.J., Hong, Y.H., Kang, T.Y., Lee, H.K., Hur, T.Y. and Jeong, D.K. (2012) Bovine mastitis: An Asian perspective. Asian J. Anim. Vet. Adv., 7: 454-476.
https://doi.org/10.3923/ajava.2012.454.476
 
3. Halasa, T., Huijps, K., Osteras, O. and Hogeveen, H. (2007) Economic effects of bovine mastitis and mastitis management: A review. Vet. Q., 29: 18-31.
https://doi.org/10.1080/01652176.2007.9695224
 
4. Kurjogi, M.M. and Kaliwal, B.B. (2014) Epidemiology of bovine mastitis in cows of Dharwad District. Int. Sch. Res. Notices, 2014: 1-9.
https://doi.org/10.1155/2014/968076
PMid:27382623 PMCid:PMC4897083
 
5. Jingar, S.C., Mehla, R.K., Singh, M., Kumar, A., Kantwa, S.C. and 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
 
6. Antanaitis, R., Zilaitis, V., Juozaitiene, V., Palubinskas, G., Kucinskas, A., Sederevicius, A. and Beliavska-Aleksiejune, D. (2015) Efficient diagnostics and treatment of bovine mastitis according to herd management parameters. Vet. Med. Zootec., 69(91): 3-10.
 
7. 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.
https://doi.org/10.3168/jds.2009-2807
PMid:20655420
 
8. Dua, K. (2001) Incidence, etiology and estimated economic losses due to mastitis in Punjab and in India-an update. Indian Dairyman, 53: 41-48.
 
9. 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.
https://doi.org/10.3168/jds.2008-1218
PMid:19038934
 
10. 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. J. Dairy Sci., 91(11): 4244-4248.
https://doi.org/10.3168/jds.2008-1258
PMid:18946129
 
11. Metzner, M., Sauter-Louis, C., Seemueller, A., Petzl, 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.
https://doi.org/10.1016/j.tvjl.2013.10.030
 
12. Saravanan, R., Das, D.N., De, S. and Panneerselvam, S. (2015) Effect of season and parity on somatic cell count across zebu and crossbred cattle population. Indian J. Anim. Res., 49(3): 383-387.
https://doi.org/10.5958/0976-0555.2015.00127.2
 
13. Bar, D., Tauer, L.W., Bennett, G., Gonzalez, R.N., Hertl, J.A., Schukken, Y.H., Schulte, H.F., Welcome, F.L. and Grohn, Y.T. (2008) The cost of generic clinical mastitis in dairy cows as estimated by using dynamic programming. J. Dairy Sci., 91: 2205-2214.
https://doi.org/10.3168/jds.2007-0573
PMid:18487643
 
14. Costa, A.C., Caja, G., Salama, A.A.K., Rovai, M., Flores, C. and Aguilo, J. (2014) Thermographic variation of the udder of dairy ewes in early lactation and following an Escherichia coli endotoxin intramammary challenge in late lactation. J. Dairy Sci., 97: 1377-1387.
https://doi.org/10.3168/jds.2013-6978
PMid:24418270
 
15. Kunc, P., Knizkova, I., Prikryl, M. and Maloun, J. (2007) Infrared thermography as a tool to study the milking process. Agric. Trop. Subtrop., 40(1): 29-32.
 
16. Hurnik, J.F., De Boer, S. and Webster, A.B. (1984) Detection of health disorders in dairy cattle utilizing a thermal infrared scanning technique. Can. J. Anim. Sci., 64: 1071-1073.
https://doi.org/10.4141/cjas84-124
 
17. Scott, S.L., Schaefer, A.L., Tong, A.K.W. and Lacasse, P. (2000) Use of infrared thermography for early detection of mastitis in in dairy cows. Can. J. Anim. Sci., 80: 764.
 
18. Jones, B.F. and Plassmann, P. (2002) Digital infrared thermal imaging of human skin. IEEE Eng. Med. Biol., 21: 41-48.
https://doi.org/10.1109/MEMB.2002.1175137
 
19. Willits, S. (2005) Infrared Thermography for Screening and Early Detection of Mastitis in Working Dairy Herds. InfraMation, 2005 Proceedings.
 
20. Barth, K. (2000) Basic investigations to evaluate a highly sensitive infrared-thermograph technique to detect udder inflammation in cows. Milk Sci. Int., 55: 607-609.
 
21. Viguier, C., Arora, S., Gilmartin, N., Welbeck, K. and O'kennedy, R. (2009) Mastitis detection: Current trends and future perspectives. Trends Biotechnol., 27(8): 486-493.
https://doi.org/10.1016/j.tibtech.2009.05.004
PMid:19616330
 
22. Sears, P.M. and McCarthy, K.K. (2003) Diagnosis of mastitis fortherapy decisions. Vet. Clin. North Am. Food Anim. Pract., 19: 93-108.
https://doi.org/10.1016/S0749-0720(02)00074-9
 
23. New York State Cattle Health Assurance Program Veterinary Resource. Diagnosis of Mastitis and Diagnostic Method for Investigating Udder Health Problems. Available from: https://www.ahdc.vet.cornell.edu. Last accessed on 30-06-2016.
 
24. McDougall, S. (1998) Efficacy of two antibiotic treatments in curing clinical and subclinical mastitis in lactating dairy cows. N. Z. Vet. J., 46: 226-232.
https://doi.org/10.1080/00480169.1998.36094
PMid:16032054
 
25. McDermott, M.P., Erb, H.N. and Natzke, R.P. (1982) Predictability by somatic cell counts related to prevalence of intramammary infection within herds. J. Dairy Sci., 65: 1535-1539.
https://doi.org/10.3168/jds.S0022-0302(82)82378-3
 
26. Sargeant, J.M., Leslie, K.E., Shirley, J.E., Pulkrabek, B.J. and Lim, G.H. (2001) Sensitivity and specificity of somatic cell count and California mastitis test for identifying intramammary infection in early lactation. J. Dairy Sci., 84: 2018-2024.
https://doi.org/10.3168/jds.S0022-0302(01)74645-0
 
27. Hillerton, J.E. and Walton, A.W. (1991) Identification of subclinical mastitis with hand held electrical conductivity meter. Vet. Res., 128: 513-515.
https://doi.org/10.1136/vr.128.22.513