title: Different screening tests and milk somatic cell count for the prevalence of subclinical bovine mastitis in Bangladesh.
abstract: Identification of cows with subclinical mastitis (SCM) is an important tool for sustainable dairying and implementing effective mastitis control strategies. A total of 892 quarters milk samples from 228 lactating cows were screened by California mastitis test (CMT), White side test (WST), Surf field mastitis test (SFMT), and somatic cell count (SCC) to study the prevalence of bovine SCM in some selected areas of Bangladesh. Out of 228 cows, 148 (64.9%), 138 (60.5%), 132 (57.9%), and 164 (71.9%) were found positive for SCM by CMT, WST, SFMT, and SCC, respectively. The prevalence of bovine SCM was diagnosed 45.7, 40.2, 36.6, and 29.6% in Chittagong, Sirajgonj, Mymensingh, and Gazipur districts, respectively, based on a combination of all tests. The overall quarter-wise prevalence of SCM was 45.7, 43.5, 41.2, and 55.0% for CMT, WST, SFMT, and SCC. Single quarters and left front quarters were more prone to SCM (P < 0.05). Friesian crossbred cows (56.4%), BCS 2.0-2.5 (55.4%), and parity 4-6 (52.4%), the late lactation stage (5-8 months; 64.7%) and high yielding cows (16-20 L/day; 65.3%) were more susceptible to SCM (P < 0.05). The sensitivity of the CMT, WST, SFMT, and SCC was 65.8, 57.9, 51.0, and 82.5%; specificity 76.2, 72.4, 69.5, and 89.4%; percentage accuracy 70.0, 64.8, 59.9, and 85.2%; positive predictive value 75.2, 69.8, 64.9, and 92.7%, respectively. The categories of CMT reactions were strongly correlated with SCC (P < 0.05). Kappa value of SCC was higher than that of other tests (SCC>CMT>WST>SFMT). Thus, CMT was concluded to be the most accurate (r = 0.782) field diagnostic test after laboratory test like SCC (r = 0.924). However, the use of any single test may not be reliable in diagnosing SCM, while the result of CMT supported by SCC might be used effectively to pinpoint diagnosis of SCM in dairy animals than alone.
authors.affiliation: Department of Gynecology, Obstetrics & Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh, nazmul.hoque90@gmail.com.
authors.forename: Md Nazmul
authors.initials: MN
authors.lastname: Hoque
authors.forename: Ziban Chandra
authors.initials: ZC
authors.lastname: Das
authors.forename: Anup Kumar
authors.initials: AK
authors.lastname: Talukder
authors.forename: Mohammad Shah
authors.initials: MS
authors.lastname: Alam
authors.forename: Abu Nasar Md Aminoor
authors.initials: AN
authors.lastname: Rahman
mesh_terms: D000818:Animals; D001459:Bangladesh; D002417:Cattle; D002452:Cell Count / Q000662:veterinary; D003612:Dairying; D005260:Female; D005516:Food Microbiology; D005843:Geography; D007774:Lactation; D008414:Mastitis, Bovine / Q000453:epidemiology* / Q000382:microbiology; D008892:Milk / Q000166:cytology / Q000382:microbiology*; D011237:Predictive Value of Tests; D015995:Prevalence; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity