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CONVENTIONAL PCR BASED DETECTION OF Brucella abortus INFECTED CATTLE IN SOME SELECTED AREAS OF BANGLADESH by M. A. S. Sarker; M. M. Begum; M. F. Rahman; M. T. Islam; L. Yasmin; M. A. Ehsan; M. S. Rahman is a Agricultural and Biological Sciences article available to read on EtoBox.
What is CONVENTIONAL PCR BASED DETECTION OF Brucella abortus INFECTED CATTLE IN SOME SELECTED AREAS OF BANGLADESH about?
Brucella spp. are facultative intracellular bacteria causing chronic disease which may persist for the whole life of the affected organism. In animals brucellosis affects reproduction, fertility and reduces newborns survival and also milk production. The present research was carried out to estimate the prevalence and to identify the risk factors of brucellosis along with determination of genetic diversity in Bangladesh. In CCBS&DF (government farm) out of 191 cows the MRT prevalence (positive) was 7.85% and RBT prevalence (positive) was 7.33%. In Rangpur out of 238 cows the MRT prevalence (positive) was 1.88% and RBT prevalence is 1.56%. In Jamalpur out of 201 cows the MRT prevalence was 1.49% and RBT prevalence 0.05%. In Gaibandha out of 93 cows the MRT prevalence was 1.07% and RBT prevalence 0%. In Mymensingh out of 320 cows the MRT prevalence was 1.88% and RBT prevalence 1.56%. Among the five groups of cows the high prevalence of MRT and RBT prevalence was in Government Farm 7.85% and 7.33%. On the other hand the lower prevalence in cows of Gaibandha which was MRT and RBT 1.07% and 0% respectively and followed by Jamalpur MRT 1.49% and RBT 0.50%, in Rangpur MRT 1.68% and RBT 1.
Who reads CONVENTIONAL PCR BASED DETECTION OF Brucella abortus INFECTED CATTLE IN SOME SELECTED AREAS OF BANGLADESH?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- M. A. S. Sarker; M. M. Begum; M. F. Rahman; M. T. Islam; L. Yasmin; M. A. Ehsan; M. S. Rahman
- Publisher
- Bangladesh Journals Online; Mymensingh: Bangladesh Society for Veterinary Medicine; Bangladesh Journals Online (JOL) (ISSN 1729-7893)
- Published
- 2018
- Language
- EN
- Field
- Agricultural and Biological Sciences (Life Sciences)