Economic Impact of Subclinical Mastitis in Bangladeshi Crossbred Dairy Cattle

preprint OA: closed CC-BY-4.0
🔓 Open OA copy View at publisher

Abstract

This study quantified the economic losses associated with subclinical mastitis in crossbred dairy cattle in Sirajganj, Bangladesh. Between January 2023 and December 2024, a total of 3,174 lactating cows from 76 herds were sampled. Composite milk samples (40 mL) were aseptically collected, transported to the laboratory within one hour, and analyzed for SCC using the EKOMILK SCAN® analyzer. Cow-level data—including age, breed, parity, lactation stage, pregnancy status, milk yield, and history of clinical mastitis—were ob-tained through a pre-tested questionnaire. Milk yield loss associated with elevated SCC was estimated using multivariable mixed-effects linear regression, accounting for herd-level clustering. SCC values were centered at 200,000 cells/mL, and coefficients were rescaled to reflect yield loss per 100,000-cell/mL increase above this threshold. Estimated losses were calculated with 95% confidence intervals, aggregated to herd-level, and standardized to a 1,000-cow basis. Economic impacts were derived by multiplying milk losses by the prevailing milk price (BDT 60/L) and expressed in Bangladeshi Taka (BDT) and U.S. dollars (USD 1 = BDT 122). During the ‘bathan’ period, average loss was 0.10 L/cow/day (BDT 6.03), equivalent to 100.5 L/day for 1,000 cows (BDT 6,028.90; USD 49.42). In the ‘non-bathan’ period, losses doubled to 0.20 L/cow/day (BDT 11.98), or 200 L/day per 1,000 cows (BDT 11,976.2; USD 98.17). SCC showed a consistent negative association with yield, with higher losses observed during confinement. Herd-level variation suggested strong management influences. Enhancing cow comfort and providing year-round silage can reduce SCC-related losses and boost farm profitability.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-08-12T06:43:03.944938+00:00
License: CC-BY-4.0