RESEARCH ARTICLES

Comparative efficacy and validation of different diagnostic methods in detection of subclinical mastitis in farms of Bundelkhand
Balendra Singhand Ramesh Kumar

doi:  https://doi.org/10.51966/jvas.2022.53.2.226-234

 Journal of Veterinary and Animal Sciences.2022.53(2):226-234

Author Details

Balendra SinghFormer Assistant Professor, Bundelkhand University Jhansi, Currently, Department of Biotechnology, Ministry of Science and Technology

Ramesh Kumar Associate Professor, Department of Biochemistry, Bundelkhand University Jhansi, India

 

 

Article History

Received:10.08.2021  Accepted: 20.09.2021 Published:30.06.2022 

Corresponding author :Balendra Singh

email: risingsun.balendra@gmail.com

Citation: Singh, B. and Kumar, R. 2022. Comparative efficacy and validation of different diagnostic methods in detection of subclinical mastitis in farms of Bundelkhand. J. Vet. Anim. Sci. 53(2): 226-234 DOI: https://doi.org/10.51966/jvas.2022.53.2.226-234



Abstract


A cross-sectional study was undertaken to validate the comparative efficacy of different diagnostic tests commonly used for the detection of subclinical mastitis. The study was designed to determine the specificity, sensitivity, and accuracy of common tests viz. California Mastitis Test (CMT), Indicator Paper Method (BTB), Somatic Cell Count (SCC), and Electrical Conductivity (EC) with bacterial culture as a standard, in parts of Bundelkhand region. Of the 411 samples, 295 were found to be positive for subclinical mastitis on screening with either of the 4 methods routinely used for the diagnosis of subclinical mastitis (SCM). The remaining 120 milk samples were negative for SCM with all methods used. Individual test-wise percentage prevalence was 26.28, 44.53, 30.41, and 41.85% respectively with CMT, EC, BTB, and SCC, respectively. On comparing the results with the culture test, the present study confirmed the superiority of SCC based method for the detection of subclinical mastitis. Correlating the EC results with SCC values avoids false results with maximum accuracy.

Keywords: Subclinical mastitis, mastitis detection, validation, CMT, SCC