The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Low Somatic Cell Count: a Risk Factor for Subsequent Clinical Mastitis in a Dairy Herd
Open accessAbstract
A case-control study was conducted to evaluate factors measured at the udder inflammation-free state as risk factors for subsequent clinical mastitis. The factors including somatic cell count (SCC), body condition score, milk yield, percentages of milk fat and milk protein, and diseases were evaluated for their association with the results of udder inflammatory response. The results of the response were specified as presence (case) and absence (control) of clinical signs of mastitis. Data on Holstein Friesian cows calving from January 1984 to November 1996 from a commercial farm with low bulk milk SCC were used. Univariable and multivariable random-effect logistic models were used to evaluate the effect of those factors on the risk of clinical mastitis. The following variables were associated with increased odds of case versus control events in the univariable analysis: early lactation period, low SCC, high milk yield, high percentage of milk protein, high percentage of milk fat, low body condition score, retained placenta, and milk fever. For the final multivariable model of all variables used for analysis, only low SCC remained significantly associated with increased risk of subsequent clinical mastitis. The authors concluded that very low SCC during the udder inflammation-free state are associated with increased risk of clinical mastitis.
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“The percentage distribution of Gram-negative bacteria causing clinical mastitis is herd dependant, but studies in the United States and Europe consistently report that appropriately 40% of clinical cases are the result of Gram-negative bacteria [25, 27, 55, 57].”
From Coliform mastitis (2003) · cites this paper as [57]
In the citing paper
“The high frequency of clinical cases and relatively short duration of Gram-negative bacterial intramammary infections render the use of individual cow SCC and bulk tank SCC as poor indicators of the prevalence of disease caused by these bacteria [13, 20, 25, 57].”
From Coliform mastitis (2003) · cites this paper as [57]
In the citing paper
“Rate of clinical cases caused by Gram-negative bacteria average approximately 20 cases per 100 cows per year in these studies.”
From Coliform mastitis (2003) · cites this paper as [57]
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Metadata
- Authors
- Suriyasathaporn, W., Schukken, Y. H., Nielen, M., & Brand, A.
- Affiliations
- Utrecht University (NL)
- Khon Kaen University (TH)
- Corresponding author
- Suriyasathaporn, W.
- Venue
- Journal of Dairy Science
- Publisher
- American Dairy Science Association
- Published
- 2000-06
- Volume
- 83
- Issue
- 6
- Pages
- 1248-1255
- ISSN
- 0022-0302 (ISSN-L)
- OpenAlex
- W2111241613
- Cited by
- 172
- References
- 28
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 2 · 2023: 6 · 2022: 10 · 2021: 5 · 2020: 4 · 2019: 11 · 2018: 6 · 2017: 5 · 2016: 7 · 2015: 6 · 2014: 8 · 2013: 4 · 2012: 9
- FWCI
- 24.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Dairy Science (publishedVersion)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Milk Quality and Mastitis in Dairy Cows
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal health and immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- clinical mastitis, somatic cell count, risk factors, Holstein cows, udder inflammation, bulk tank milk, body condition score, milk yield, milk fat, milk protein, retained placenta, milk fever, early lactation, dairy herds
- MeSH terms
- Animals, Cattle, Cell Count, Female, Mammary Glands, Animal, Mastitis, Bovine, Milk, Risk Factors, Incidence, Logistic Models, Odds Ratio, Case-Control Studies
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