Status of diseases and disorders of ruminants in sylhet, bangladesh
International Journal of Development Research
Status of diseases and disorders of ruminants in sylhet, bangladesh
Received 22nd June, 2017; Received in revised form 08th July, 2017; Accepted 19th August, 2017; Published online 30th September, 2017
Copyright ©2017, Mahbuba Rahman et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
A study of ruminant diseases was undertaken to determine the prevalence and distribution of diseases based on species, age, sex, system affected, and seasonal variation at Jaintapur Upazilla, Sylhet during January, 2016 to December, 2016. A total of 791 diseased animals were examined where cattle, goat, sheep and buffalo were 538, 182, 17 and 54 respectively. Out of 538 diseased cattle, (38.66%) were male and (61.34 %) were female animals. Disease prevalence is high in old age group (81.22%) than young age group (18.77%). Prevalence of diseases was high (34.76%) in summer season followed by (32.90%) in rainy and lowest (32.34%) in winter season. Gastrointestinal disease (63.38%) was seen highly prevalent among all groups of animals. Out of 182 diseased goats, (35.71%) were male and (97.25%) were female. Unlike cattle young aged group (70.33%) was highly susceptible to diseases than old age group (29.67%). The prevalence of disease was high in summer (36.26%) than other seasons. Out of 17 diseased sheep the male and female were (58.82%) and (41.18%) respectively. Disease prevalence was high in young (64.71%) than old (35.29%) age group. The disease prevalence was high in winter season (47.06%) followed by of summer (23.53%) and rainy (29.41%) season. Out 54 diseased buffalo (42.59%) were (57.40%) were female. The disease prevalence was high in old age group (79.63%) than that of young age group (20.37%). Highest prevalence of diseases was in summer season (51.85%). This study showed the pattern of diseases that might help to identify the risk factors of these maladies in this area.