Husbandry risk factors associated with subclinical coccidiosis in young cattle.

This paper describes an observational longitudinal study of cattle farms in England and Wales, which aimed to identify management practices associated with the presence of Eimeria spp. infection in young cattle. Thirty cattle farms situated in England and Wales were selected and one group of more than 20 young cattle aged 5-18 months of age was monitored on each farm. Three variables were identified as significantly associated with status in a multivariable model. The odds of finding Eimeria spp. were lower on farms that kept sheep on the same premises as the cattle, as was an increase in the maximum age within the sampled group. The latter probably reflects the development of post-infection immunity within the sampled animals. Good water-trough hygiene protected against Eimeria spp. oocyst excretion, with the odds of detection being higher on farms where it was reported that the water troughs were not cleaned and emptied more than once per month. The value of frequent emptying and cleaning of water troughs in reducing the exposure of calves to Eimeria spp. and thus lowering the impact of coccidiosis, both clinical and subclinical should be communicated to cattle farmers.

Ulcerative vulvitis and balanitis in sheep flocks.

Outbreaks of ulcerative vulvitis and balanitis occurred in three commercial sheep flocks in England and Wales. Between 29 and 44 per cent of the ewes were affected; most of the lesions resolved in three weeks. Pathogens such as mycoplasmas, which have previously been associated with these conditions, were not detected despite using improved laboratory techniques. In one of the flocks, ovine herpesvirus type 2 was detected by pcr in the blood of two acutely affected ewes, from the vulval ulcers of one of them, and from the penis of an affected ram.

Effects of aggregation and sample size on composite faecal egg counts in sheep.

Composite faecal egg counts (FEC) are increasingly used to support strategic anthelmintic treatment decisions in grazing livestock. However, their accuracy as estimators of group mean FEC is affected by the number of individual samples included, how thoroughly they are mixed, and the underlying degree of parasite aggregation between individual hosts. This paper uses a Negative Binomial model for parasite aggregation, and a Poisson model for egg distribution within faecal suspensions, in order to optimise composite FEC protocol for commercial sheep flocks. Our results suggest that faecal egg density in a well-mixed composite sample from 10 sheep (3g of faeces from each), estimated by examination of four independently filled McMaster chambers, is likely to provide an adequate estimate of group mean FEC in the majority of situations. However, extra care is needed in groups of sheep for which high levels of FEC aggregation might be expected. The implications of statistical error in FEC estimates depend on how they are used. The simulation-based approach presented here is a powerful tool for investigating the risks of error in FEC-driven treatment decisions in different situations, as well as for the statistical analysis of parasitological data in general.