Epidemiology of Haemophilus somnus in young rams.
The prevalence of Haemophilus somnus in the prepuce of young rams was examined. Of 473 rams entering Record of Performance (ROP) stations at 50 days of age, 43 (9.1%) were positive. Average daily gain was not affected by Haemophilus status, but was influenced by breed of ram. Suffolks were predicted to gain 0.515 kg daily compared to 0.427 kg for a group combining all other breeds. Using logistic regression to identify risk factors for individual H. somnus infection, rams in 1989 were 0.382 times as likely to be infected as rams in 1988, and Suffolks were 0.314 times as likely to be infected as the other breeds group, but these factors were not significant at the flock level. Of 80 eligible flocks of origin, 22 (27.5%) were classified as infected with H. somnus, based on rams submitted to the ROP station. Infected flocks contributed 133 rams, 43 (32.3%) of which were positive. There was no association between H. somnus status and lambing percent of the percent of abortions and stillbirths, but there was a statistically significant association with the percent of ewes which failed to lamb. In the model developed, 6% of the bred ewes in noninfected flocks failed to lamb, compared to a rate of 12% in infected flocks. These results suggest H. somnus may influence ewe fertility earlier, rather than later in gestation. Purchasing replacement animals and having cattle on the farm were risk factors for Haemophilus infection in the flock. Where replacements had been purchased within the previous year, the risk of flock infection rose 8.5 times, and on farms having cattle as well as sheep, the risk rose 13.2 times.(ABSTRACT TRUNCATED AT 250 WORDS)
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Agriculture Canada, Animal Diseases Research Institute, Lethbridge, Alberta.
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Rosendal
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D000818:Animals; D002170:Canada / Q000453:epidemiology; D003198:Computer Simulation; D005298:Fertility; D006190:Haemophilus / Q000302:isolation & purification; D006192:Haemophilus Infections / Q000453:epidemiology / Q000401:mortality / Q000662:veterinary*; D016018:Least-Squares Analysis; D016014:Linear Models; D008297:Male; D010409:Penile Diseases / Q000453:epidemiology / Q000401:mortality / Q000662:veterinary*; D010413:Penis / Q000382:microbiology; D015995:Prevalence; D012307:Risk Factors; D012756:Sheep; D012757:Sheep Diseases / Q000453:epidemiology* / Q000401:mortality; D015430:Weight Gain