Variability of milk production traits and the mastitis prevalence in Simmental cows considering breeding region

Authors

  • Boris Ljubojević Croatian forests Ltd., Zagreb, Croatia
  • Zvonimir Steiner Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, Croatia
  • Nino Maćešić University of Zagreb, Veterinary Faculty, Zagreb, Croatia
  • Dragan Solić Croatian Agency for Agriculture and Food, Osijek, Croatia
  • Vesna Gantner Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, Croatia

DOI:

https://doi.org/10.63356/agrores.2025.020

Keywords:

mastitis, milk yield, milk content, Simmental, breeding region

Abstract

This research aimed to analyse the variability in daily milk production and quality, as well as the prevalence of subclinical and clinical mastitis in dairy Simmental cows, with a focus on the influence of breeding region. The data, collected over a 10-year period, included test-day records from cows in three regions of Croatia: Central, Eastern, and Mediterranean. Notable regional differences were observed in daily milk yield, fat content, and other milk quality parameters. Cows from the Central and Eastern regions had higher milk yield and fat content compared to those from the Mediterranean region. The study also examined the prevalence of mastitis, revealing higher rates of both subclinical and clinical mastitis in the Central and Eastern regions compared to the Mediterranean. Clinical mastitis was associated with a notable reduction in milk yield and quality, while subclinical mastitis, though less severe, still resulted in some decrease in milk production and quality compared to healthy cows. The results indicate the importance of monitoring mastitis prevalence and its impact on milk production, emphasizing the need for regional-specific management strategies to optimize dairy cattle health and productivity.

References

Argaw, A. (2016). Review on epidemiology of clinical and subclinical mastitis on dairy cows. Food Science and Quality Management, 52, 56-65.

Benić, M., Maćešić, N., Cvetnić, L., Habrun, B., Cvetnić, Ž., Turk, R., Đuričić, D., Lojkić, M., Dobranić, V., Valpotić, H., Grizelj, J., Gračner, D., Grbavac, J., & Samardžija, M. (2018). Bovine mastitis: a persistent and evolving problem requiring novel approaches for its control - a review. Veterinarski Arhiv, 88, 535-557. DOI: 10.24099/vet.arhiv.0116

Blackburn, P. S. (1966). The variation in the cell count of cow's milk throughout lactation and from one lactation to the next. Journal of Dairy Research, 33, 193-198. DOI: 10.1017/S0022029900011857

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. Frontiers in Veterinary Science, 10, 1185995. DOI: 10.3389/fvets.2023.1185995

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. International Journal of Biometeorology, 61, 1675-1685. DOI: 10.1007/s00484-017-1348-7

Gantner, V., Mijić, P., Kuterovac, K., Solić, D., & Gantner R. (2011). Temperature-humidity index values and their significance on the daily production of dairy cattle. Mljekarstvo, 61, 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. Journal of Dairy Science, 101, 3588-3596. DOI: 10.3168/jds.2017-13840

Halasa, T., Huijps, K., Østerås, O., & Hogeveen, H. (2007). Economic effects of bovine mastitis and mastitis management: A review. Veterinary Quarterly, 29, 18-31. DOI: 10.1080/01652176.2007.9695224

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. Annual Review of Resource Economics, 11, 289-312. DOI: 10.1146/annurev-resource-100518-093954

ICAR – International Committee for Animal Recording (2017): Section 2 - Guidelines for Dairy Cattle Milk Recording.

Ivanov, G. Y., Bilgucu, E., Ivanova, I. V., Uzatici, A., & Balabanova, T. B. (2016). Monitoring of the Somatic Cells Count for Improving Milk and Dairy Products Quality. Scientific Works of University of Food Technologies, 63, 90-97.

Maćešić, N., Bačić, N., Bačić, G., Lojkić, M., Samardžija, M., Benić, M., Prvanović Babić, N., Butković, I., Šavorić, J., Efendić, M., & Karadjole, T. (2022). Selective dry cow treatment. Veterinarska Stanica, 53, 735-743. DOI: 10.46419/vs.53.6.8

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, 9-12 October, Budapest, Hungary.

Narváez-Semanate, J. L., Daza-Bolaños, C. A., Valencia-Hoyos, C. E., Hurtado-Garzón, D. T., & Acosta-Jurado, D. C. (2022). Diagnostic methods of subclinical mastitis in bovine milk: an overview. Revista Facultad Nacional de Agronomía Medellín, 75, 1-12. DOI: 10.15446/rfnam.v75n3.100520

Nir, O. (2003). What are production diseases, and how do we manage them? Acta Veterinaria Scandinavica, 44, S21-S32.

Nóbrega, D. B., & Langoni, H. (2011). Breed and season influence on milk quality parameters and in mastitis occurrence. Pesquisa Veterinaria Brasileira, 31, 1045-1052. DOI: 10.1590/S0100-736X2011001200002

Petzer, I. M., Karzis, J., Donkin, E. F., Webb, E. C., & Etter, E. M. C. (2017). Validity of somatic cell count as indicator of pathogen-specific intramammary infections. Journal of the South African Veterinary Association, 88(1). DOI: 10.4102/jsava.v88i0.1465

Pfützner, M., & Ózsvári, L. (2016). The Economic Impact of Decreased Milk Production Due to Subclinical Mastitis in East German Dairy Herds. 29th World Buiatrics Congress, 3-8 July, Dublin, Ireland.

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

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. Journal of Animal Science, 101, 406. DOI: 10.1093/jas/skac406

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. Preventive Veterinary Medicine, 161, 9-18. DOI: 10.1016/j.prevetmed.2018.10.007

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-Ciencias Agrarias, 41, 1667-1678. DOI: 10.5433/1679-0359.2020v41n5p1667

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. Journal of Dairy Science, 96, 6863-6869. DOI: 10.3168/jds.2013-6846

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Published

2025-05-23

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