A Report On Gastrointestinal Parasitism in Cattle, in Rangpur Sadar, Rangpur.

Abstract

A two month long (9th February to 8th May, 2014) observational study on gastrointestinal parasitism was conducted in cattle of Rangpur Sadar, Rangpur, Bangladesh. A total of 40 fecal samples were collected randomly from different cattle breed ( local breed and crossbreed of HF). Samples were examined by routine coproscopical methods. The investigation revealed that, the overall prevalence of gastrointestinal parasitic infestation was 60% in the study population. Among different single gastrointestinal parasitic infections, the overall infestation of Paramphistomum spp infection was the highest (25%) followed by Toxocara spp infection (15%). The lowest overall infestation was recorded in Trichostrongylus spp infection (5%). In case of mixed infection, the infestation of Paramphistomum and Oesophagostomum is same as Paramphistomum and Oocysts (4%). Age specific infestation was found higher in young cattle than adult and calf. In calf, Paramphistomum spp and Toxocara spp infection is higher (35%) than other species of parasites. In young and adult animal, Paramphistomum infection is highest 24.78% and 35% respectively. Sex specific infestation exposed that female cattle showed almost same susceptibility to different gastrointestinal parasites like male but it was not statistically significant. However, infestation of Paramphistomum spp infections was the highest in female cattle (30%) than male. Infestation of Fasciola spp infections (20.28%) along with Toxocara spp (16.18%) were found more in male cattle. Trichostrongylus spp and Moniezia spp infection were only recorded in female cattle of this study. It could be stated that the current investigation was a limited study as tophographical variation, seasonal pattern of the diseases, short study period and small number of study population. Hence, it can be recommended further extensive investigation on gastrointestinal parasitism to overcome the limitation of the current studies which will assist to determine the important predictors related to such diseases.