RESEARCH PAPER
Influence of different milking methods on milk quality based on somatic cell count and basic composition
More details
Hide details
1
Department of Animal Nutrition and Husbandry, University of Veterinary Medicine and Pharmacy, Košice, Slovak Republic
2
Department of Hygiene, Technology and Health Food Safety, University of Veterinary Medicine and Pharmacy, Košice,
Slovak Republic
3
Department of Biology and Physiology, University of Veterinary Medicine and Pharmacy, Košice, Slovak Republic
4
University Veterinary Hospital, Clinic of Ruminants, University of Veterinary Medicine and Pharmacy, Košice, Slovak Republic
Corresponding author
František Zigo
Department of Animal Nutrition and Husbandry, University of Veterinary Medicine and Pharmacy in Košice, Komenského 73, 041 81, Kosice, Slovak Republic
Ann Agric Environ Med. 2024;31(2):198-204
KEYWORDS
TOPICS
ABSTRACT
Introduction and objective:
Correlations between the number of milk somatic cells (SCC), the number of microorganisms, and the content of basic components of milk were studied on five farms (F1–F5) with cows of the same breed, but with different milking systems.
Material and methods:
From each farm, 50 Holstein Friesien milk samples were collected once a month (250 samples/month; n=3,000) during March 2022 – February 2023. Samples from farms F1 and F5 were tested for fat, protein, lactose, no fat dry matter content (FTIR spectroscopy), for the SCC (Fossomatic 7), and for the differential cells (Vetscan DC-Q).
Results:
The highest fat content was confirmed on farm F5 (3.85 ± 1.70%) and F4 (3.82 ± 0.21%) with automatic milking system (AMS). However, from the point of view of protein content, these farms showed slightly lower values (<0.05). F1 did not meet the minimum required amount for fat content (2.84 ± 0.81%) set by the legislation of the Slovakia. The comparison shows that there is not much difference in cell size between healthy cells and mastitis cells. The average size of healthy cells was approximately 8.77 ± 0.49 μm. In the monitored period, the average values determined were at the level of 292,000/mL (5.46 ± 0.72 log10 SCC) in cow milk samples, while for the rest of the year, the values remained at 256,000/mL (5.40 ± 0.80 log10 SCC). F1 was categorized as a positive farm with a high TLC (total milk leucocyte count) concentration (5.58 log10 cells/mL, 406.65 ± 53.80 × 103 cells/mL) and a predominant NEU fraction (61%). Farms F2, F4, and F5 were classified as negative farms (TLC was 4.70 ± 0.26 log10 cells/ml).
Conclusions:
According to the results, the size of SCCs in healthy milk does not differ from SCCs found in mastitis milk. From the results, it can be concluded that the transition to the latest generation of robotic milking method can positively affect milk production and its quality.
FUNDING
Slovak Research and Development Agency under Contract
no. APVV-22-0457 and by the Research and Development
Agency under Contract No. SK-PL-230066.
REFERENCES (44)
1.
Frančáková H, Čuboň J, Michalcová, A. Evaluation of agricultural products. SUA Nitra, 2005;178. ISBN 80-8069-471-0.
2.
Sharma N, Singh NK, Bhadwal MS. Relationship of somatic cell count and mastitis: An overview. Asian-Australasian J Animal Sci. 2011;24(3):429–438.
https://doi.org/10.5713/ajas.2....
4.
Vršková M, Tančin V, Uhrinčať M, et al. Survey of somatic cell counts and milk composition in bulk milk of ewes in dairy practice. Slovak J Food Sci. 2021;15:151, ISSN 1338–9971.
https://doi.org/10.5219/1325.
5.
Drahošová K, Drončovský M. Mastitis – the most common cause of reduced milk quality. In Mliekarstvo, 2004;35(4):7.
6.
Hogeveen H, Steeneveld W, Wolf CA. Production diseases reduce the efficiency of dairy production: A review of the results, methods, and approaches regarding the economics of mastitis. Ann Rev Res Econom. 2019;11:289–312.
https://doi.org/10.1146/annure....
7.
Martins KB, Faccioli PY, Bonesso MF, et al. Characteristics of resistance and virulence factors in different species of coagulase-negative staphylococci isolated from milk of healthy sheep and animals with subclinical mastitis. J Dairy Sci. 2017;100(3):2184–2195.
https://doi.org/10.3168/jds.20....
8.
De Vliegher S, Ohnstad I, Piepers S. Management and prevention of mastitis: A multifactorial approach with a focus on milking, bedding and data-management. J Integrative Agric. 2018;17(6):1214–1233.
https://doi.org/10.1016/S2095-....
9.
Leelahapongsathon K, Schukken YH, Srithanasuwan A, Suriyasathaporn W. Molecular epidemiology of Streptococcus uberis intramammary infections: Persistent and transient patterns of infection in a dairy herd. J Dairy Sci. 2020;103(4):3565–3576.
https://doi.org/10.3168/jds.20....
10.
Huang C H, Furukawa K, Kusaba N, et al. Genetic parameters for novel mastitis traits defined by combining test-day somatic cell score and differential somatic cell count in the first lactation of Japanese Holsteins. J Dairy Sci. 2024;In Press, ISSN 0022-0302,
https://doi.org/10.3168/jds.20....
11.
Damm M, Holm C, Blaabjerg M, et al. Differential somatic cell count. A novel method for routine mastitis screening in the frame of Dairy Herd Improvement testing programs. J Dairy Sci. 2017;100(6):4926–4940.
https://doi.org/10.3168/jds.20....
12.
Rajčević M, Potočnik K, Levstek J. Correlations between somatic cells count and milk composition with regard to the season. Agric Consp Sci. 2003;68(3):221–226.
13.
Nyman AK, Fasth C, Waller KP. Intramammary infections with different non-aureus staphylococci in dairy cows. J Dairy Sci. 2018;101(2):1403–1418.
https://doi.org/10.3168/jds.20....
14.
De Visscher A, Piepers S, Haesebrouck F, et al. Teat apex colonization with coagulase-negative Staphylococcus species before parturition: distribution and species-specific risk factors. J Dairy Sci. 2016;99(2):1427–1439.
https://doi.org/10.3168/jds.20....
15.
Duse A, Persson-Waller K, Pedersen K. Microbial aetiology, antibiotic susceptibility and pathogen-specific risk factors for udder pathogens from clinical mastitis in dairy cows. Animals. 2021;11(7): 2113.
https://doi.org/10.3390/ani110....
16.
Haw SR, Adkins PRF, Gosselin VB, et al. Intramammary infections in lactating Jersey cows: Prevalence of microbial organisms and association with milk somatic cell count and persistence of infection. J Dairy Sci. 2023; In Press, ISSN 0022-0302,
https://doi.org/10.3168/jds.20....
17.
Meijering A, Hogeveen H, De Koning CJAM. Automatic milking, a better understanding: A Better Understanding. Wageningen Academic Publishers. 2004;544, ISBN: 978-90-76998-38-1.
https://doi.org/10.3920/978-90....
18.
Kaskous S. Physiological aspects of milk somatic cell count in dairy cattle. Int J Livest Res. 2021;1:1–12. eISSN: 2277-1964.
19.
European Commission. Commission Implementing Regulation (EU) No 853/2014 of 5 August 2014 repealing Regulation (EC) No 1151/2009 imposing special conditions governing the import of sunflower oil originating in or consigned from Ukraine. Off J Eur. Union 2014, L233, 25.
20.
International Dairy Federation. Suggested interpretation of mastitis terminology. IDF Bulletin 338. Brussels, Belgium. 1999;3–26.
21.
Miklós L, Trembos P, Hrnciarova T. Limitations of intensive agricultural activity by types of abiotic complexes. 2002; 1: 1 500 000; 1: 1 500 000.
22.
STN EN ISO 13366-2. Milk. Determination of the number of somatic cells. Part 2: Instructions for use of equipment for electronic particle counting using the fluorescence optical method (ISO 13366-2: 2006), Office for Standardization, Metrology and Testing of the Slovak Republic. 2007.
23.
Li N, Richoux R, Boutinaud M, et al. Role of somatic cells on dairy processes and products: a review. Dairy sSci Technol. 2014;94:517–538.
https://doi.org/10.1007/s13594....
24.
Costa A, De Marchi M, Sagrafoli D, et al. Milk somatic cell count and polymorphonuclear cells in healthy quarters of cows thatunderwent blanket and selective dry therapy. Italian case study. Vet Sci. 2021;8(12):298.
https://doi.org/10.3390/vetsci....
25.
Godden SM, Royster E, Timmerman J, et al. Evaluation of an automated milk leukocyte differential test and the California Mastitis Test for detecting intramammary infection in early-and late-lactation quarters and cows. J Dairy Sci. 2017;100(8):6527–6544.
https://doi.org/10.3168/jds.20....
27.
Jayarao BM, Pillai SR, Sawant AA. Guidelines for monitoring bulk tank milk somatic cell and bacterial counts. J Dairy Sci. 2004;87(10):3561–3573.
https://doi.org/10.3168/jds.S0....
28.
Věříš M. Neglected causal agents of mastitis. Veterinářství, 2019;69(9):592–594.
30.
Thompson JS, Green MJ, Hyde R, et al. The use of machine learning to predict somatic cell count status in dairy cows post-calving. Front Vet Sci. 2023;10.
https://doi.org/10.3389/fvets.....
31.
Pelmuș RȘ, Grosu H, Gras MA, et al. Estimation of the genetic parameters for Somatic Cell Scores in the first lactation of Romanian Black and White cattle. Archiva Zootechnica. 2022;25(1):142–153.
https://doi.org/10.2478/azibna....
32.
Whist AC, Osteras O. Associations between somatic cell counts at calving or prior to drying-off and clinical mastitis in the remaining or subsequent lactation. J Dairy Res. 2007;74:66–73.
https://doi.org/10.1017/S00220....
33.
Andersen S, Dohoo IR, Riekerink RO, et al. Diagnosing intramammary infections: Evaluating expert opinions on the definition of intramammary infection using conjoint analysis. J Dairy Sci. 2010;93(7):2966–2975.
https://doi.org/10.3168/jds.20....
34.
Samková E. Milk: production and quality: Milk: production and quality: scientific monograph, 1st ed. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Agriculture, 2012. ISBN 978-80-7394-383-7.
36.
Riekerink RO, Barkema HW, Stryhn H. The effect of season on somatic cell count and the incidence of clinical mastitis. J Dairy Sci. 2007;90(4):1704–1715.
https://doi.org/10.3168/jds.20....
37.
Wang Y, Nan X, Zhao Y, et al. Consumption of supplementary inulin modulates milk microbiota and metabolites in dairy cows with subclinical mastitis. Appl Environ Microbiol. 2022;88(4):e02059–21.
https://doi.org/10.1128/aem.02....
38.
Sharma N, Singh NK, Bhadwal MS. Relationship of somatic cell count and mastitis: An overview. Asian-Australasian J Animal Sci. 2011;24(3):429–438.
39.
De Koning K, Slaghuis B, Van der Vorst Y. Robotic milking and milk quality: effects on bacterial counts, somatic cell counts, freezing point and free fatty acids. Italian J Animal Sci. 2003;2(4):291–299.
40.
Gygax L, Neuffer I, Kaufmann C, et al. Comparison of functional aspects in two automatic milking systems and auto-tandem milking parlors. J Dairy Sci. 2007;90(9):4265–4274.
https://doi.org/10.3168/jds.20....
41.
Schwarz D, Kleinhans S, Reimann G, et al. Investigation of dairy cow performance in different udder health groups defined based on a combination of somatic cell count and differential somatic cell count. Prev Vet Med. 2020;183(105123).
https://doi.org/10.1016/j.prev....
42.
Huang CH, Furukawa K, Kusaba N. Estimating the nonlinear interaction between somatic cell score and differential somatic cell count on milk production by parity using generalized additive models. J Dairy Sci. 2023; 106(11):7942–7953.
https://doi.org/10.3168/jds.20....
43.
Zazharska N, Fotina T, Yatsenko I, Tarasenko L, Biben I, Zazharskyi V, et al. Comparative analysis of the criteria for goat milk assessment in Ukraine and France. Ukr J Ecol. 2021;11(2):144–148.
https://doi.org/10.15421/2021_....
44.
Fotina T, Fotina H, Ladyka V, Ladyka L, Zazharska N. Monitoring research of somatic cells count in goat milk in the eastern region of Ukraine. J Hellenic Vet Med Soc. 2018;69(3):1101–1108.
https://doi.org/10.12681/jhvms....