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Prevalence of haemoprotozoan diseases in Cattle Population of Chittagong Division, Bangladesh
 
Md. Abdul Alim*, Shubhagata Das, Krisna Roy§, Md. Masuduzzaman, Suchandan Sikder1, Mohammad Mahmudul Hassan2, Amam Zonaed Siddiki and Mohammad Alamgir Hossain
Department of Pathology and Parasitology, 1Department of  Physiology, Biochemistry & Pharmacology, 2Department of Medicine and Surgery; Chittagong Veterinary and Animal Sciences University, Khulshi, Chittagong -4225;  Bangladesh; §Also affiliated with: Section for Microbiology, Department of Veterinary Disease Biology, faculty of life sciences, University of Copenhagen, Denmark

Abstract   

A one year (2009-10) prevalence study on haemoprotozoan diseases was conducted in crossbred and indigenous cattle, Chittagong, Bangladesh. Blood samples were collected randomly from 216 crossbred and 432 indigenous cattle of four representative areas in three consecutive seasons. Samples were examined by Giemsa's stained blood smear method. The effect of topography, season, age and sex was observed in cattle during this study. The overall prevalence of haemoprotozoan diseases was 16.18% and 12.02% in crossbred and indigenous cattle, respectively where babesiosis and anaplasmosis were predominant. Babesiosis was found to be consistent in all the four different areas but highest prevalence (9.25%) was found in hilly area. Haemoprotozoan diseases were predominant in summer season followed by rainy and winter seasons. Adult cattle were significantly (P<0.05) susceptible to babesiosis than younger. Female animals were more susceptible to haemoprotozoan infections than male where babesiosis in crossbred cattle was statistically significant (P<0.05). It could be stated that breed and season were the important predictor of haemoprotozoan diseases. We recommended further studies for molecular detection of such diseases and identification of tick vectors in the study areas which will assist to take necessary preventive measures.

Key words: crossbred, Haemoprotozoan diseases, Indigenous cattle, Predictor, Prevalence

 
   

ISSN 0253-8318 (Print)
ISSN 2074-7764 (Online)



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