ESTIMATION OF PREVALENCE, EFFECT AND COST OF MASTITIS ON SIMMENTAL DAIRY FARMS OF DIFFERENT SIZES

Authors

  • Vesna Gantner Faculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia https://orcid.org/0000-0002-1962-3131
  • Ivana Jožef Faculty of Agriculture, University in Novi Sad, Trg Dositeja Obradovića 8, Novi Sad, 21000, Serbia https://orcid.org/0009-0001-7260-9478
  • Ranko Gantner Faculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia https://orcid.org/0000-0001-5426-4886
  • Zvonimir Steiner Steiner Faculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia https://orcid.org/0000-0002-4007-2231
  • Luka Zmaić Student, Faculty of Medicine Osijek, J.J. Strossmayer University of Osijek, Josipa Huttlera 4, Osijek, 31000, Croatia
  • Dragan Solić Croatian Agency for Agriculture and Food, Vinkovačka cesta 63c, Osijek, 31000, Croatia https://orcid.org/0000-0002-8877-921X
  • Klemen Potočnik Department of Animal Science, Biotechnical faculty, University of Ljubljana, Domžale, 1230, Slovenia https://orcid.org/0000-0003-0734-5733

DOI:

https://doi.org/10.59267/ekoPolj23041123G

Keywords:

dairy Simmentals, milk production, mastitisprevalence, cost, farm size

Abstract

Mastitis, a production disease highly prevalent in dairy farming, poses a significant challenge to farmers. It is responsible for decreased milk production, reduced milk quality, and increased treatment costs. Thus, early detection and prompt treatment are essential to prevent the infection and minimize the mastitis impact. This study aimed to determine how farm size affects the prevalence, effect, and cost of mastitis. Therefore, a total of 4,922,751 test-day records for dairy Simmental cows collected in the period 2005-2022 were analysed. Results showed that mastitis was most prevalent among small farms, which also exhibited a lower total increase in milk production. In contrast, the highest prevalence of healthy cows was observed at large farms, with the highest total increase in milk production.

Downloads

Download data is not yet available.

References

Adkins, P.R., & Middleton, J.R. (2018): Methods for diagnosing mastitis. Veterinary Clinics: Food Animal Practice, 34.3, 479-491.

Antanaitis, R., Juozaitienė, V., Jonike, V., Baumgartner, W., & Paulauskas, A. (2021). Milk lactose as a biomarker of subclinical mastitis in dairy cows. Animals, 11.6, 1736.

Argaw, A. (2016). Review on epidemiology of clinical and subclinical mastitis on dairy cows. Food Sci Qual Manag, 52,6, 56-65.

Blackburn, P.S. (1966). The variation in the cell count of cow’s milk throughout lactation and from one lactation to the next. J. Dairy Res., 33.2, 193-198.

Chen, S., Zhang, H., Zhai, J., Wang, H., Chen, X., & Qi, Y. (2023). Prevalence of clinical mastitis and its associated risk factors among dairy cattle in mainland China during 1982–2022: a systematic review and meta-analysis. Front. vet. sci., 10, 1185995.

Fesseha, H., Mathewos, M., Aliye, S., & Wolde, A. (2021). Study on prevalence of bovine mastitis and associated risk factors in dairy farms of Modjo town and suburbs, central Oromia, Ethiopia. Veterinary Medicine: Research and Reports, 271-283.

Gantner, V., Bobic, T., Gantner, R., Gregic, M., Kuterovac, K., Novakovic, J., & Potocnik, K. (2017). Differences in response to heat stress due to production level and breed of dairy cows. Int. J. Biometeorol., 61, 1675-1685.

Gantner, V., Mijić, P., Kuterovac, K., Solić, D., & Gantner, R. (2011). Temperaturehumidity index values and their significance on the daily production of dairy cattle. Mljekarstvo, 61(1), 56–63.

Hadrich, J.C., Wolf, C.A., Lombard, J., & Dolak, T.M. (2018). Estimating milk yield and value losses from increased somatic cell count on US dairy farms. J. Dairy Sci., 101(4), 3588–3596.

Halasa, T., Huijps, K., Østerås, O., & Hogeveen, H. (2007). Economic effects of bovine mastitis and mastitis management: A review. Veterinary Quarterly, 29 (1), 18–31.

Harjanti, D.W., & Sambodho, P. (2020). Effects of mastitis on milk production and composition in dairy cows. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing, 012032.

Haygert-Velho, I.M.P., da ConceiÇÃo, G. M., Cosmam, L. C., Alessio, D. R. M., Busanello, M., Sippert, M. R., Damiani, C., Almeida, A.P.A., & Velho, J.P. (2018). Multivariate analysis relating milk production, milk composition, and seasons of the year. An. Acad. Bras. Cienc., 90(4), 3839–3852.

Hogeveen, H., Steeneveld, W., & Wolf, C. A. (2019). Production Diseases Reduce the Efficiency of Dairy Production: A Review of the Results, Methods, and Approaches Regarding the Economics of Mastitis. Annu. Rev. Resour. Econ., 11, 289–312.

Huijps, K., Lam, T. J., & Hogeveen, H. Henk. (2008). Costs of mastitis: facts and perception. J. Dairy Res., 75,1, 113-120.

ICAR, International Committee for Animal Recording (2017). Guidelines for Dairy Cattle Milk Recording, Guidelines.

Ivanov, G.Y., Bilgucu, E., Ivanova, I.V., Uzatıcı, A., & Balabanova, T.B. (2016). Monitoring of the Somatic Cells Count for Improving Milk and Dairy Products Quality. Sci. works Univ. Food Technol., 63(1), 90–97.

Jurinić Kojić, M., & Miščević, Z. (2023). Sirovo mlijeko i mliječni proizvodi.

Kamal, R.M., Bayoumi, M.A., & Abd El Aal, S.F.A. (2014). Correlation between some direct and indirect tests for screen detection of subclinical mastitis. Int. Food Res. J., 21(3), 1249–1254.

Mikó, E., Atasever, S., Gráff, M., & Erdem, H. (2016). Influence of Somatic Cell Count on Daily Milk Yield and Milk Production Losses in Primiparous Hungarian Holstein Cows. In Memoriam Ferenc Kovács International Congress on Veterinary and Animal Science.

Narváez-Semanate, J.L., Daza-Bolaños, C.A., Valencia-Hoyos, C.E., HurtadoGarzón, D.T., & Acosta-Jurado, D.C. (2022). Diagnostic methods of subclinical mastitis in bovine milk: an overview. Rev Fac Nac Agron Medellin, 75(3), 10077– 10088.

Nir, O. (2003). What are production diseases, and how do we manage them? Acta Vet. Scand., Supplement, 98, 21–32.

Nóbrega, D.B., & Langoni, H. (2011). Breed and season influence on milk quality parameters and in mastitis occurrence. Pesqui. Vet. Bras., 31 (12), 1045–1052.

Özkan Gülzari, Ş., Vosough Ahmadi, B., & Stott, A.W. (2018). Impact of subclinical mastitis on greenhouse gas emissions intensity and profitability of dairy cows in Norway. Prev. Vet. Med., 150, 19–29.

Pfützner, M., & Ózsvári, L. (2016). The Economic Impact of Decreased Milk Production Due to Subclinical Mastitis in East German Dairy Herds. World Buiatrics Congress,

SAS Institute Inc. (2019). SAS User’ s Guide, Version 9.4. SAS Institute Inc. Cary, NC.

Schukken, Y.H., Wilson, D.J., Welcome, F., Garrison-Tikofsky, L., Gonzalez, R.N. (2003). Monitoring udder health and milk quality using somatic cell counts. Vet. Res., 34(5), 579–596.

Seegers, H., Fourichon, C., & Beaudeau, F. (2003). Production effects related to mastitis and mastitis economics in dairy cattle herds. Vet. Res., 34 5, 475–491.

Sharma, N., Gurdeep Singh, S., Sharma, S., Misri, J., Gupta, S., & Hussain, K. (2018). Mastitis Occurrence Pattern in Dairy Cows and Importance of Related Risk Factors in the Occurrence of Mastitis. J. Anim. Res., 2, 315–326.

Smith, K.L., Hillerton, J.E., & Harmon, R.J. (2001). Guidelines on normal and abnormal raw milk based on somatic cell counts and signs of clinical mastitis. National Mastitis Council, 9, 11–13.

Stocco, G., Cipolat-Gotet, C., Stefanon, B., Zecconi, A., Francescutti, M., Mountricha, M., & Summer, A. (2023). Herd and animal factors affect the variability of total and differential somatic cell count in bovine milk. J. Anim. Sci., 101, 0–10.

Sumon, M.R., Parvin, S., Ehsan, A., & Islam, T. (2020). Dynamics of somatic cell count and intramammary infection in lactating dairy cows. J. Adv. Vet. Anim. Res., 7(2), 314–319.

Tomazi, T., Ferreira, G.C., Orsi, A.M., Gonçalves, J.L., Ospina, P.A., Nydam, D.V., Moroni, P., & Dos Santos, M.V. (2018). Association of herd-level risk factors and incidence rate of clinical mastitis in 20 Brazilian dairy herds. Prev. Vet. Med., 161, 9–18.

Wani, S.A., Haq, R.I.U., Parray, O.R., Nazir, Q.U.A., Mushtaq, M., Bhat, R.A., Parrah, J.U., Chakraborty, S., Dhama, K., & Yatoo, M.I.A. (2022). Brief Analysis of Economic Losses Due to Mastitis in Dairy Cattle. Indian Vet. J., 99(2), 27–31.

Weber, C.T., Corrêa Schneider, C.L., Busanello, M., Bandeira Calgaro, J.L., Fioresi, J., Gehrke, C.R., Da Conceição, J.M., & Haygert-Velho, I.M.P. (2020). Season effects on the composition of milk produced by a Holstein herd managed under semi-confinement followed by compost bedded dairy barn management. Semina: Cienc. Agrar., 41(5), 1667–1678.

Yang, L., Yang, Q., Yi, M., Pang, Z.H., & Xiong, B.H. (2013). Effects of seasonal change and parity on raw milk composition and related indices in Chinese Holstein cows in northern China. J. Dairy Sci., 96(11), 6863–6869.

Downloads

Published

2023-12-23

How to Cite

Gantner, V., Jožef, I., Gantner, R., Steiner, Z. S., Zmaić, L., Solić, D., & Potočnik, K. (2023). ESTIMATION OF PREVALENCE, EFFECT AND COST OF MASTITIS ON SIMMENTAL DAIRY FARMS OF DIFFERENT SIZES . Ekonomika Poljoprivrede, 70(4), 1123–1139. https://doi.org/10.59267/ekoPolj23041123G

Issue

Section

Original scientific papers