ArticleFrontiers in veterinary science2022
An economic analysis of high milk somatic cell counts in dairy cattle in Chiang Mai, Thailand.
Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Spatio-temporal patterns and climate-associated risk of elevated somatic cell count in dairy herd under tropical conditions.Tropical animal health and production · 2026Article
- Use of approved cefazolin based intramammary dry goat treatment and its effects on the milk microbiota.Scientific reports · 2025Article
- Antimicrobial therapy approaches in the mastitis control driven by one health insights.Brazilian journal of veterinary medicine · 2024Article
- Article
- Identification of histidine kinase inhibitors through screening of natural compounds to combat mastitis caused by Streptococcus agalactiae in dairy cattle.Journal of biological engineering · 2023Article
- Bovine mastitis, a worldwide impact disease: Prevalence, antimicrobial resistance, and viable alternative approaches.Veterinary and animal science · 2023Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mastitis in dairy cattle can lead to significant financial losses due to a reduction in milk yield, the withdrawal period after treatment when milk cannot be sold, and an increase in somatic cell count (SCC) which can reduce the milk's per liter commercial value. Dairy cooperatives point at high-SCC problems as an important factor leading to suboptimal levels of milk quantity and quality. This study aims at describing farm characteristics and milking practices associated with high SCC, identifying risk factors, and assessing the economic loss due to high SCC in three dairy cooperatives in Chiang Mai, Thailand. A cross-sectional study was conducted on 208 dairy cattle farms from July to September 2018. Structured interviews were conducted to collect the data. Univariate and multivariate analyses were performed to determine the degree of association between factors and high SCC. A retrospective cost assessment of high SCC was conducted to estimate the losses in affected farms, and two potential coping strategies were assessed: (1) culling and (2) treating the cow. More than 12% of farms had high SCC (SCC > 500,000 cells/ml). Inappropriate vacuum pressure and inappropriate pulsation rate of milking machines were identified as significant risk factors according to the multiple logistic regression (
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