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Correlation between electrical conductivity and somatic cell counts in identifying subclinical mastitis in cows

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National Symposium on Veterinary Research Priorities in Translational Animal Health, Production and Food Safety
2020-02
1
20th Indian Veterinary Congress, Annual Conference of IAAVR, TANUVAS

Sub clinical mastitis (SCM) is one of the most underrated diseases of economic importance in dairy cattle and buffaloes as no obvious changes in udder or milk occur. Various assays are available for the detection of SCM. A hand-held conductivity meter has been designed at TRPVB to detect SCM based on changes in electrical conductivity (EC) milk samples. In the present study, milk samples from cross bred and native breeds of cows (n=159) were analyzed for their EC using the conductivity meter and absolute somatic cell counts (SCC) using the standard conventional Newman’s method of staining. For detecting SCM, EC readingof 4.0 and SCC of 5.00 lakhs / ml was used as cutoff. The diagnostic sensitivity and specificity was found to be 100 and 98.9 respectively. The correlation coefficient between EC and SCC was 0.927. Using the generated regression equation, the SCC could be predicted based on EC values. Using the absolute and predicted SCC for classifying a milk sample as SCM, the diagnostic sensitivity and specificity was found to be 100% and 84.7% respectively. This study confirms the application of conductivity meter as an affordable cow side test for routine monitoring of mastitis status both based on the predicted SCC in addition to the normal EC values

TNV_20thMVC_PP_Feb-2020_PA55

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