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Multi-criteria decision analysis for supporting the selection of subclinical mastitis screening tests to use in large- and small-scale dairy farms in Türkiye

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Abstract

The production of high-quality and safe milk is closely associated with the udder health of dairy cows. While there are many mastitis diagnostic tests/methods available, choosing the most appropriate diagnostic test for a sustainable udder health control program could be a challenge. This study was aimed at selecting tests for the screening of subclinical mastitis on small- and large-scale dairy farms in Türkiye, using multi-criteria decision-making methods. An integrated approach employing the analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) together was used to select subclinical mastitis screening tests for on-farm use. While the AHP determines the weights of the evaluation criteria, the TOPSIS provides a final ranking. Nine different subclinical mastitis screening (SCM) methods (DeLaval somatic cell counter, PortaSCC test, California mastitis test (CMT), rapid culture, portable/hand-held electrical conductivity meter, infrared thermography, leukocyte esterase strip test, milk pH, UdderCheck test) were analyzed on the basis of five selection criteria (the market availability of the test, the diagnostic accuracy of the test, the cost of the test, the cow-side use of the test, and the practicality of the test). The selection criteria were determined based on literature review and stakeholder input. The weighting of the criteria with the AHP was based on the pairwise comparison of the criteria by stakeholders. The criteria were weighted from 1 to 9 according to their relative importance as follows: “1: equally important,” “3: moderately important,” “5: strongly important,” “7: very strongly important,” “9: extremely important,” and “2, 4, 6, 8: intermediate values.” Final ranking of SCM tests with the TOPSIS was based on the stakeholder evaluations of fulfillment of the criteria by the alternatives. The most appropriate screening test for both large- and small-scale dairy farms was determined to be the CMT. The CMT is a very useful, easy to perform, and low-cost tool for detecting subclinical mastitis. Being a major element of udder health control programs, the CMT, if regularly used on dairy farms in Türkiye, would enable the culling of chronically infected animals and the reduction of mastitis-associated economic losses. Furthermore, regular CMTs would contribute to reducing milk SCC and improving milk quality. In conclusion, multi-criteria decision-making methods not only provide a systematic approach that may assist both veterinarians and farmers in deciding on the best choice among the different tests available for the screening of subclinical mastitis but also offer potential benefits to policymakers, researchers, and other industry stakeholders.

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Data availability

The datasets generated during and/or analyzed during the current study are available in the Mehmet Akköse repository.

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Acknowledgements

The authors would like to thank Prof. Dr. Şükrü Küplülü, Prof. Dr. Rıfat Vural, Prof. Dr. Bülent Polat, Prof. Dr. Hüseyin Erdem, and Doç. Dr. Murat Onur Yazlık for their contributions.

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Authors and Affiliations

  1. Dalaman Agricultural Enterprise, General Directorate of Agricultural Enterprises, Dalaman, Muğla, Türkiye

    Mehmet Akköse

  2. Department of Medical Services and Techniques, Vocational High School of Health Services, Kilis 7 Aralik University, Kilis, Türkiye

    Yadigâr Polat

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  1. Mehmet Akköse
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All the authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Mehmet Akköse and Yadigâr Polat. The first draft of the manuscript was written by Mehmet Akköse and Yadigâr Polat. All the authors commented on the previous versions of the manuscript. All the authors read and approved the final manuscript.

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Akköse, M., Polat, Y. Multi-criteria decision analysis for supporting the selection of subclinical mastitis screening tests to use in large- and small-scale dairy farms in Türkiye. Trop Anim Health Prod 56, 6 (2024). https://doi.org/10.1007/s11250-023-03844-5

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