Trend analysis of Trichinella in a red fox population from a low endemic area using a validated artificial digestion and sequential sieving technique

Freezing of fox carcasses to minimize professional hazard of infection with Echinococcus multilocularis is recommended in endemic areas, but this could influence the detection of Trichinella larvae in the same host species. A method based on artificial digestion of frozen fox muscle, combined with larva isolation by a sequential sieving method (SSM), was validated using naturally infected foxes from Latvia. The validated SSM was used to detect dead Trichinella muscle larvae (ML) in frozen muscle samples of 369 red foxes from the Netherlands, of which one fox was positive (0.067 larvae per gram). This result was compared with historical Trichinella findings in Dutch red foxes. Molecular analysis using 5S PCR showed that both T. britovi and T. nativa were present in the Latvian foxes, without mixed infections. Of 96 non-frozen T. britovi ML, 94% was successfully sequenced, whereas this was the case for only 8.3% of 72 frozen T. britovi ML. The single Trichinella sp. larva that was recovered from the positive Dutch fox did not yield PCR product, probably due to severe freeze-damage. In conclusion, the SSM presented in this study is a fast and effective method to detect dead Trichinella larvae in frozen meat. We showed that the Trichinella prevalence in Dutch red fox was 0.27% (95% CI 0.065-1.5%), in contrast to 3.9% in the same study area fifteen years ago. Moreover, this study demonstrated that the efficacy of 5S PCR for identification of Trichinella britovi single larvae from frozen meat is not more than 8.3%.     

Harmful winter wheat diseases and possibilities for their integrated control in Latvia

Decision support systems based on control thresholds are an important part of integrated disease control systems in winter wheat. Various warning and forecast systems have been developed in different countries (in Latvia – under the framework of Danish-Baltic joint project ‘Development and Implementation of an Internet-based Decision Support System for Integrated Pest Management’), but results were contradictory. The aim of this investigation was to identify the possibilities for integrated disease control under intensive management of winter wheat. Different schemes of fungicide treatment, including a decision support system, were tested in field trials from 2008 to 2012 in two places. Leaf blotches caused by Pyrenophora tritici-repentis and Zymoseptoria tritici are recognised as the most harmful wheat diseases in Latvia. The total impact of diseases, which was calculated as area under disease progress curves, was affected by the year and the scheme of fungicide treatment. Significantly higher yields were obtained in treatments with fungicide application, but differences between control strategies were not significant. The obtained results confirmed that two fungicide applications are not necessary (except certain cases). The results suggest that recommendations should be based on the disease incidence on the third or second leaf of wheat.