Control of bovine fasciolosis in dairy cattle in Switzerland with emphasis on pasture management

Vetsuisse Faculty Zurich, Department of Farm Animals, Winterthurerstrasse 260, 8057 Zurich, Switzerland.
The Veterinary Journal (Impact Factor: 1.76). 09/2009; 186(2):188-91. DOI: 10.1016/j.tvjl.2009.08.003
Source: PubMed


Thirty-two dairy cattle farms with fasciolosis as an established herd problem were visited and divided into groups according to the location of the habitats of the intermediate host of Fasciola hepatica. The farms were revisited 4-5 years later and those that had followed the recommended measures were compared to those that had not. Egg shedding and seroprevalence was significantly reduced in cows on farms complying with the control recommendations but was not reduced on farms that had not complied.

1 Follower
14 Reads
  • Source
    • "These factors have been found to vary between studies, depending on the local environment and farming systems (Charlier et al., 2014). Fluke control should be aimed at reducing infection levels in snails as well as in cattle (Parr and Gray, 2000; Knubben-Schweizer et al., 2010). So far, few studies have looked at how grazing management can be used to control fluke, either alone or in conjunction with flukicides. "
    [Show abstract] [Hide abstract]
    ABSTRACT: The liver fluke Fasciola hepatica is a trematode parasite with a worldwide distribution and is the cause of important production losses in the dairy industry. The aim of this observational study was to assess the prevalence of exposure to F. hepatica in a group of high yielding dairy herds, to determine the risk factors and investigate their associations with production and fertility parameters. Bulk milk tank samples from 606 herds that supply a single retailer with liquid milk were tested with an antibody ELISA for F. hepatica. Multivariable linear regression was used to investigate the effect of farm management and environmental risk factors on F. hepatica exposure. Higher rainfall, grazing boggy pasture, presence of beef cattle on farm, access to a stream or pond and smaller herd size were associated with an increased risk of exposure. Univariable regression was used to look for associations between fluke exposure and production-related variables including milk yield, composition, somatic cell count and calving index. Although causation cannot be assumed, a significant (p<0.001) negative association was seen between F. hepatica exposure and estimated milk yield at the herd level, representing a 15% decrease in yield for an increase in F. hepatica exposure from the 25th to the 75th percentile. This remained significant when fertility, farm management and environmental factors were controlled for. No associations were found between F. hepatica exposure and any of the other production, disease or fertility variables. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.
    Preventive Veterinary Medicine 06/2015; 88(1-2). DOI:10.1016/j.prevetmed.2015.05.013 · 2.17 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Fasciolosis caused by Fasciola hepatica is a major cause of economic loss to the agricultural community worldwide as a result of morbidity and mortality in livestock. Spatial models developed with the aid of Geographic Information Systems (GIS) can be used to develop risk maps for fasciolosis for use in the formulation of disease control programmes. Here we investigate the spatial epidemiology of F. hepatica in dairy herds in England and Wales and develop linear regression models to explain observed patterns of exposure at a small spatial unit, the postcode area. Exposure data used for the analysis were taken from an earlier study of F. hepatica infection, performed in the winter of 2006/7. Climatic, environmental, soil, livestock and pasture variables were considered as potential predictors. The performance of models that used climate variables for 5 years average data, contemporary data and a combination of both for England and Wales, and for England only, was compared. All models explained over 70% of the variation in the prevalence of exposure. The best performing models were those built using 5 year average and contemporary weather data. However, the fit of these models was only slightly better than the fit of models using weather data from one time period only. Rainfall was a consistent predictor in all models. Other model covariates included temperature, the negative predictors of soil pH and slope and the positive predictors of poor quality land, as determined by the Agricultural Land Classification, and very fine sand content of soil. Choroplethic risk maps showed a good match between the observed F. hepatica exposure values and exposure values fitted by the models. The development of these detailed spatial models is the first step towards the development of a spatially specific, temporal forecasting system for liver fluke in the United Kingdom.
    International journal for parasitology 03/2010; 40(9):1021-8. DOI:10.1016/j.ijpara.2010.02.009 · 3.87 Impact Factor

  • Gastroenterology 01/2011; 140(5). DOI:10.1016/S0016-5085(11)60195-9 · 16.72 Impact Factor
Show more