Electrical conductivity and total dissolved solid of raw milk for the detection of bovine subclinical mastitis
Autor: | Tasnia Tabassum Anika, Zakaria Al Noman, A. K. M. Anisur Rahman, Nazneen Sultana, Mohammad Nahid Ashraf, Munmun Pervin, M. Ariful Islam, Md. Mokbul Hossain, Mohammad Abu Hadi Noor Ali Khan |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Veterinary World, Vol 16, Iss 12, Pp 2521-2525 (2023) |
Druh dokumentu: | article |
ISSN: | 0972-8988 2231-0916 |
DOI: | 10.14202/vetworld.2023.2521-2525 |
Popis: | Background and Aim: Bovine subclinical mastitis (SCM) is highly prevalent among dairy cattle. A cross-sectional study was conducted in Bangladesh to evaluate the performance of electric conductivity (EC) and total dissolved solids (TDS) tests for the detection of SCM. Materials and Methods: We randomly selected 108 milk samples from cows of different breeds in the primary milk-producing region of Pabna and Sirajgonj districts of Bangladesh. Samples were subjected to the California mastitis test (CMT), white side test (WST), electric conductivity (EC), TDS, and culture. A cow was considered positive for SCM if it tested positive in CMT, WST, and culture, whereas a cow was considered negative for SCM if it tested negative in all three methods. These gold standards have been used to evaluate the performance of the EC and TDS tests. The optimal EC and TDS cutoff values for the detection of SCM were determined using the “optimal cutoff” function in R version 4.3.1. Results: The optimal EC cutoff value for SCM detection was found to be 6159 μS/cm or 6.16 mS/cm. A positive likelihood ratio (LR+) of 31.2 and an area under the curve (AUC) of 0.905 were obtained for this cutoff value. The optimal cutoff value for TDS was 3100 mg/L of milk, which resulted in a positive LR+ of 45.5 and an AUC of 0.924. Conclusion: To the best of our knowledge, this is the first study to evaluate the performance of EC and TDS tests in detecting SCM in Bangladesh. These results suggest that EC and TDS tests, which are inexpensive, rapid, and easy to conduct, can effectively detect SCM at the farm level. |
Databáze: | Directory of Open Access Journals |
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