Journals / Kocatepe Veteriner Dergisi / 2026 / Cilt: 17 Sayı: 3

Estimation of Milk Yield Losses from Subclinical Mastitis in Dairy Cows

Süt İneklerinde Subklinik Mastitisten Kaynaklanan Süt Verim Kayıplarının Tahmini

Murat Tandoğan(AFYON KOCATEPE UNIVERSITY, FACULTY OF VETERINARY MEDICINE)0000-0002-6467-3699
Özay Güleş(ADNAN MENDERES ÜNİVERSİTESİ)0000-0001-6170-1706
Pages
263–269
Publication Date
2024-09-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the study, it was determined that the daily milk yield of the cows was 21.1 kg, and it was found that the milk yield loss showed significant differences according to the SCC.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In order to estimate the prevalence of subclinical mastitis, somatic cell content in cow's milk is the main indicator.
📊
Key Findings & Data:It was aimed at revealing the relationship between breed, age, number of lactations, lactation periods, average milk yield of cows, and somatic cell count (SCC) used in mastitis diagnosis.
💡
Conclusion & Impact:In the study, it was determined that the daily milk yield of the cows was 21.1 kg, and it was found that the milk yield loss showed significant differences according to the SCC.
🔬Design:Araştırma Makalesi
📍Scope:2020 Verileri
⚙️Variables:İnek · subklinik mastitis · somatik hücre sayısı

Abstract

In order to estimate the prevalence of subclinical mastitis, somatic cell content in cow's milk is the main indicator. It was aimed at revealing the relationship between breed, age, number of lactations, lactation periods, average milk yield of cows, and somatic cell count (SCC) used in mastitis diagnosis. The material of the study consisted of milk from 300 mammary lobes belonging to 75 cows from different breeds (Holstein and Holstein Crossbred) aged between 3 and 8 years in dairy cattle enterprises in Efeler district of Aydın province between December 2020 and February 2021. To determine the association between SCC and milk yield, multiple regression analysis was used. There was no significant difference in SCC between crossbred Holstein and Holstein cows. It was determined that SCC increased with increasing age (≤4 and 5≥). In the study, it was determined that the daily milk yield of the cows was 21.1 kg, and it was found that the milk yield loss showed significant differences according to the SCC. In the analysis, there is a negative relationship between SCC and milk yield; an increase of 1 unit in SCC was estimated to result in a daily loss of 0.71 kg of milk output per cow.

Özet

İnek sütündeki somatik hücre konsantrasyonu, subklinik mastitis prevalansının tahmin edilmesinin ana göstergedir. Bu çalışmada ineklerin ırk, yaş, laktasyon sayısı, laktasyon dönemleri ve ortalama süt verimi ile mastitis tanısında kullanılan somatik hücre sayısı (SHS) arasındaki ilişkiyi ortaya çıkarmak amaçlanmıştır. Araştırmanın materyalini, Aydın ili Efeler ilçesindeki süt sığırcılığı işletmelerinde, Aralık 2020 ile Şubat 2021 tarihleri arasında 3 ila 8 yaşları arasındaki farklı ırklardan (Holstein ve Holstein Melez) 75 ineğe ait her meme lobundan (toplam 300) alınan süt örnekleri oluşturmuştur. SHS ve süt verimi arasındaki ilişkiyi belirlemek için çoklu regresyon analizi kullanılmıştır. Melez Holstein ve Holstein inekleri arasında SHS bakımından anlamlı bir fark bulunmamıştır. SHS'nin yaş arttıkça (≤4 ve ≥5 yaş) arttığı belirlenmiştir. Çalışmada, ineklerin günlük süt veriminin 21.1 kg olduğu ve SHS'ye göre süt verim kaybının anlamlı farklılıklar gösterdiği bulunmuştur. Analizde, SHS ve süt verimi arasında negatif bir ilişki olduğu; SHS'deki 1 birimlik artışın, inek başına günlük 0.71 kg süt verimi kaybına neden olduğu tahmin edilmiştir.

🔖

Cite This Article

Tandoğan, M., Güleş, Ö. (2024). Estimation of Milk Yield Losses from Subclinical Mastitis in Dairy Cows. Kocatepe Veteriner Dergisi, Cilt: 17 Sayı: 3, 263–269. https://doi.org/10.30607/kvj.1506469

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (42)

  1. Aghamohammadi M., Haine D., Kelton D. F., Barkema H. W., Hogeveen H., Keefe G. P., Dufour S. (2018). Herd-level mastitis-associated costs on Canadian dairy farms. Frontiers in Veterinary Science, 5, 100, https://doi.org/10.3389/fvets.2018.00100
  2. Bae H., Jeong C. H., Cheng W. N., Hong K., Seo H. G., Han S. G. (2017). Oxidative stress-induced inflammatory responses and effects of N-acetylcysteine in bovine mammary alveolar cells. Journal of Dairy Research, 84(4), 418-425, https://doi.org/10.1017/S002202991700067X
  3. Broadhurst J., Paley C. (1939). A single-dip stain for the direct examination of milk. Journal of The American Veterinary Medical Association, 94, 525-526.
  4. Clair L., Laubichler F. C., Schleicher C., Fuchs K., Käsbohrer A., Egger-Danner C., Köfer J., Obritzhauser W. (2019). Relationship between the probability of veterinary-diagnosed bovine mastitis occurring and farm management risk factors on small dairy farms in Austria. Journal of Dairy Research, 102(5), 1-12, https://doi.org/10.3168/jds.2018-15657
  5. Contreras G. A., Rodríguez J. M. (2011). Mastitis: Comparative etiology and epidemiology. Journal of Mammary Gland Biology and Neoplasia, 16(4), 339-356, https://doi.org/10.1007/s10911-011-9234-0
  6. De Graves F. J., Fetrow J. (1993). Economics of mastitis control. Veterinary Clinics of North America: Food Animal Practice, 9(3), 421-434, https://doi.org/10.1016/S0749-0720(15)30611-3
  7. De Vliegher S., Fox L. K., Piepers S., McDougall S., Barkema H. W. (2003). Invited review: Mastitis in dairy heifers: Nature of disease, potential impact, prevention and control. Journal of Dairy Research, 95(3), 1025-1040, https://doi.org/10.3168/jds.2010-4074
  8. Demir A. P., Ekşi F. (2019). Estimate by quantitative methods of the effect on some milk yield traits with CMT score of subclinic mastitis in cows: Pilot Study. Van Veterinary Journal, 30(3), 177-182.
  9. Dhakal I. P., Dhakal P., Koshihara T., Nagahata H. (2007). Epidemiological and bacteriological survey of buffalo mastitis in Nepal. The Journal of Veterinary Medical Science, 69(12), 1241-1245. https://doi.org/10.1292/jvms.69.1241
  10. Djabri B., Bareille N., Beaudeau F., Seegers H. (2002). Quarter milk somatic cell count in infected dairy cows: a meta-analysis. Veterinary Research, 33(4), 335-357, https://doi.org/10.1051/vetres:2002021
  11. Dohoo I. R., Meek A. H., Martin S. W. (1984). Somatic cell counts in bovine milk: relationships to production and clinical episodes of mastitis. Canadian Journal of Comparative Medicine, 48(2), 130-135.
  12. El-Awady H. G., Oudah E. Z. M. (2011). Genetic and economic analysis for the relationship between udder health and milk production traits in Friesian cows. Asian-Australasian Journal of Animal Sciences, 24(11), 1514-1524, https://doi.org/10.5713/ajas.2011.10328
  13. Fourichon C., Beaudeau F., Bareille N., Seegers H. (2001). Incidence of heath disorders in dairy farming systems in western France. Livestock Production Science, 68(2-3), 157-170, https://doi.org/10.1016/S0301-6226(00)00249-9
  14. Halasa T., Huijps K., Osteras O., Hogeveen H. (2007). Economic effects of bovine mastitis and mastitis management. A review. Veterinary Quarterly, 29(1), 18-31, https://doi.org/10.1080/01652176.2007.9695224
  15. Halasa T., Nielen M., De Roos A. P. W., Hogeveen H. (2009). Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model. Journal of Dairy Research, 92(2), 599-606, https://doi.org/10.3168/jds.2009-92-3-1315
  16. Hand K. J., Godkin A., Kelton D. F. (2012). Milk production and somatic cell counts: a cow-level analysis. Journal of Dairy Research, 95(3), 1358-1362, https://doi.org/10.3168/jds.2011-4927
  17. Heringstad B., Gianola D., Chang Y. M., Ødegård J., Klemetsdal G. (2006). Genetic associations between clinical mastitis and somatic cell score in early first-lactation cows. Journal of Dairy Research, 89(6), 2236-2244, https://doi.org/10.3168/jds.S0022-0302(06)72295-0
  18. Jeretina J., Škorjanc D., Babnik D. (2017). A new somatic cell count index to more accurately predict milk yield losses. Archives Animal Breeding, 60(4), 373-383, https://doi.org/10.5194/aab-60-373-2017
  19. Jilo K., Galgalo W., Mata W. (2017). Camel mastitis: a review. MOJ Ecology & Environmental Sciences, 2(5), 194-202, https://doi.org/10.15406/mojes.2017.02.00034
  20. Kabir Md. H., Ershaduzzaman Md., Giasuddin Md., Islam M. R., Nazmul K. H. M., KarimMd. R., Rahman Md. H., Ali Md. Y. (2017). Prevalence and identification of subclinical mastitis in cows at BLRI Regional Station, Sirajganj, Bangladesh. Journal of Advanced Veterinary and Animal Research, 4(3), 295, https://doi.org/10.5455/javar.2017.d227
  21. Kabir Md. H., Erzhaduzzaman Md., Nazir K. H. M. N. H., Islam M. S., Khatun R., Sarker Md. S. A., Yousuf Md. A., Ali Y., Sarkar N. R., Giasuddin Md. (2019). Development and validation of BLRI mastitis test kit at Bangladesh livestock research institute regional station, Sirajganj. Journal of Advanced Veterinary and Animal Research, 6(3), 425-430, https://doi.org/10.5455/javar.2019.f363 Kaneene J. B., Hurd H. S. (1990). The national animal health monitoring-system in Michigan: III. Cost estimates of selected dairy-cattle diseases. Preventive Veterinary Medicine, 8(2-3), 127-140, https://doi.org/10.1016/0167-5877(90)90006-4
  22. Kossaibati M. A., Esslemont R. J. (1997). The costs of production diseases in dairy herds in England. The Veterinary Journal, 154(1), 41-51, https://doi.org/10.1016/S1090-0233(05)80007-3
  23. Lucy M. C. (2001). Reproductive loss in high-producing dairy cattle: Where will it end? Journal of Dairy Research, 84, 1277-1293, https://doi.org/10.3168/jds.S0022-0302(01)70158-0
  24. McInerney J., Howe K., Schepers J. (1992). A framework for the economic analysis of disease in farm livestock. Preventive Veterinary Medicine, 13(2), 137-154, https://doi.org/10.1016/0167-5877(92)90098-Z
  25. Miller G. Y., Bertlett P. C., Lance S. E., Anderson J., Heider L. E. (1993). Costs of clinical mastitis and mastitis prevention in dairy herds. Journal of the American Veterinary Medical Association, 202(8), 1230-1236, https://doi.org/10.2460/javma.1993.202.08.1230
  26. Moraes C. R., Vieira T. R., Pinto A. T., Schmidt V. (2018). Evaluation of microscopic protocols for somatic cell counts in milk of dairy sheep. Arquivos do Instituto Biológico, 85, 1-4, https://doi.org/10.1590/1808-1657000962016
  27. Mtaallah B., Oubey Z., Hammami H. (2002). Assessment of milk yield losses and subclinical mastitis risk factors using bulk milk somatic cell counts in dairy herds. Revue de Medecine Veterinaire, 153(4), 251-260. Mungube E. O., Tenhagen B. A., Regassa F., Kyule M. N., Shiferaw Y., Kassa T., Baumann M. P. O. (2005). Reduced milk production in udder quarters with subclinical mastitis and associated economic losses in crossbred dairy cows in Ethiopia. Tropical Animal Health and Production, 37(6), 503-512, https://doi.org/10.1007/s11250-005-7049-y
  28. Nielsen C. (2009). Economic impact of mastitis in dairy cows. Swedish University of Agricultural Sciences, Acta Universitatis agriculturae Sueciae, Uppsala, PhD Thesis, https://doi.org/10.1017/S1751731110000704
  29. Pantoja J. C. F., Hulland C., Ruegg P. L. (2009). Dynamics of somatic cell counts and intrammammary infections across the dry period. Preventive Veterinary Medicine, 90(1-2), 43-54, https://doi.org/10.1016/j.prevetmed.2009.03.012
  30. Pyörälä S. (2003). Indicators of inflammation in the diagnosis of mastitis. Veterinary Research, 34(5), 565-578, https://doi.org/10.1051/vetres:2003026
  31. Reinsch N., Dempfle L. (1998). Investigations on functional traits in Simmental. 3. Economic weights at the stationary state of a Markov chain. Archiv für Tierzucht, 41, 211-224.
  32. Sadeghi-Sefidmazgi A., Moradi-Shahrbabak M., Nejati-Javaremi A., Miraei-Ashtiani S. R., Ame P. R. (2011). Estimation of economic values and financial losses associated with clinical mastitis and somatic cell score in Holstein dairy cattle. Animal, 5, 33-42, https://doi.org/10.1017/S1751731110001655
  33. Sarıözkan S. (2019). Estimation of financial losses due to mastitis in dairy cattle farms in Turkey. Harran Universitesi Veteriner Fakültesi Dergisi, 8(2), 147-151.
  34. Schukken Y. H., Wilson D. J., Welcome F., Garrison-Tikofsky L., Gonzales R. N. (2003). Monitoring udder health and milk quality using somatic cell counts. Veterinary Research, 34(5), 579-596, https://doi.org/10.1051/vetres:2003028
  35. Seegers H., Fourichon C., Beaudeau F. (2003). Production effects related to mastitis and mastitis economics in dairy cattle herds. Veterinary Research, 34(5), 475-491, https://doi.org/10.1051/vetres:2003027
  36. Sumon M. R., Parvin S., Ehsan A., Islam T. (2020). Relation between somatic cell counts and subclinic mastitis in lactating dairy cows. Veterinary World, 13(8), 1709-1713, https://doi.org/10.14202/vetworld.2020.1709-1713
  37. Yalçın C. (2000). Financial losses due to mastitis in Scottish dairy farms facing low and high subclinical mastitis problems. Turkish Journal of Veterinary & Animal Sciences, 24(5), 465-472.
  38. Yalcin C., Cevger Y., Turkyilmaz K., Uysal G. (1999a). Estimation of milk yield losses from subclinical mastitis in dairy cows. Turkish Journal of Veterinary & Animal Sciences, 24(6), 599-604.
  39. Yalçın C., Yıldız A. Ş., Sarıözkan S., Günlü A. (2010). Producer profiles, production characteristics and mastitis control applications at dairy herds in Konya, Burdur and Kırklareli provinces, Turkey. Ankara Üniversitesi Veteriner Fakültesi Dergisi, 57(1), 43-48, https://doi.org/10.1501/Vetfak_0000002308
  40. Yalcin C., Stott A. W., Gunn J., Logue D. N. (1999b). The economic impact of mastitis-control procedures used in Scottish dairy herds with high bulk-tank somatic cell counts. Prev Vet Med, 41, 135-149, https://doi.org/10.1016/S0167-5877(99)00052-5
  41. Yıldız A. Ş., Yalçın C. (2014). Economic losses due to clinical mastitis in dairy cattle farms in Ankara province. Dicle Üniversitesi Veteriner Fakültesi Dergisi, 2(2), 55-62.
  42. Zajac P., Capla J., Golian J. (2018). Direct microscopic somatic cell count. South Carolina, USA: Create Space Independent Publishing Platform.