The study was conducted at Kishoreganj, Bangladesh to evaluate the productive and reproductive performance of Sahiwal × Local (SL× L), Friesian × Local (F×L), Sindhi× Local (S×L) crossbred during the period of July 2019 to January 2020. A total of 162 crossbred dairy cows under 3 genotypes were studied on the basis of productive and reproductive performances. The average age of puberty of L×F, L×SL and L×S crossbred cattle were 23.7, 26.5 and 29.5 months, respectively. The average age at first fertile service for L×F, L×SL and L×S crossbreds' cattle were 24.2, 27.0 and 31.0 months, respectively. The highest gestation length was 285 days and it was for L×S crossbred cattle. The lowest gestation length was 273 days and it was for L×F crossbred cattle. The highest lactation length was observed in case of L×F crossbred (300 days) and lowest was found in case of L×S crossbred (220 days). The highest number of services per conception was 1.66 and it was for L×SL crossbred cattle. The lowest number of services per conception was 1.61 and it was for L×F crossbred cattle. The average post-partum heat period of L×F, L×SL and L×S crossbreds were 114, 125 and 127days, respectively. The highest Post-Partum Heat Period (PPHP) was 127 days found in case of L×S crossbred cows. The lowest PPHP was found in case of L×F crossbred cows (114 days). The overall productive and reproductive performance of different crossbred were varied. Judging from the overall analysis of the results, it may be concluded that production and reproduction performances of Holstein crossbred are superior to other dairy crossbred in Kishoreganj, Bangladesh.
The research was performed to determine the diseases and disorders of cattle and to identify the associated risk factors in Dakshin Surma under Sylhet district. A total of 1000 clinical cases were diagnosed at Upazilla Veterinary Hospital, Dakshin Surma during March 2018 to February 2019. Disease diagnosis was made on the basis of owners' statement, general examination, clinical signs, gross pathology and laboratory procedures. Data was analyzed to determine disease prevalence in cattle with respect to breed, sex and season. Diagnosed diseases were categorized as bacterial, viral, protozoan and other diseases. According to the results, the prevalence of bacterial diseases were highest (36.4%) followed by the viral diseases (24.4%), protozoan diseases (18.9%), and other diseases (20.03%). Female were more susceptible to diseases (52.9%) than male cattle (47.1%). Disease prevalence varied according to seasons. Highest prevalence was recorded in rainy season (27.6%) followed by autumn season (18.4%) and summer season (11.6%). Our large set of data on cattle disease prevalence provides valuable insight to design and implement priority based research on specific disease and to take efficient control strategies against the diseases.
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