We describe a new microtiter immunospore trapping device (MTIST device) that uses a suction system to directly trap air particulates by impaction in microtiter wells. This device can be used for rapid detection and immunoquantification of ascospores of Mycosphaerella brassicicola and conidia of Botrytis cinerea by an enzymelinked immunosorbent assay (ELISA) under controlled environmental conditions. For ascospores of M. brassicicola correlation coefficients (r 2 ) of 0.943 and 0.9514 were observed for the number of MTIST device-impacted ascospores per microtiter well and the absorbance values determined by ELISA, respectively. These values were not affected when a mixed fungal spore population was used. There was a relationship between the number of MTIST device-trapped ascospores of M. brassicicola per liter of air sampled and the amount of disease expressed on exposed plants of Brassica oleracea (Brussels sprouts). Similarly, when the MTIST device was used to trap conidia of B. cinerea, a correlation coefficient of 0.8797 was obtained for the absorbance values generated by the ELISA and the observed number of conidia per microtiter well. The relative collection efficiency of the MTIST device in controlled plant growth chambers with limited airflow was 1.7 times greater than the relative collection efficiency of a Burkard 7-day volumetric spore trap for collection of M. brassicicola ascospores. The MTIST device can be used to rapidly differentiate, determine, and accurately quantify target organisms in a microflora. The MTIST device is a portable, robust, inexpensive system that can be used to perform multiple tests in a single sampling period, and it should be useful for monitoring airborne particulates and microorganisms in a range of environments.

Two immunodiagnostic detection assay procedures were compared with two conventional assays for their sensitivity in detecting propagules of Pythium ultimum var. sporangiiferum , Pythium Group F, Phytophthora cactorum and P. cryptogea in dilution series in sterile distilled water. The most sensitive assay for all four species was the zoospore trapping immunoassay (ZTI). Conventional membrane filtration-dilution plating gave similar results to ZTI with the two Phytophthora spp., but was less sensitive in Pythium detection. Immunodiagnostic dipstick assays and conventional bait tests showed similar sensitivities in the dilution series, and were generally about two orders of magnitude less sensitive than ZTI. The four techniques were also compared for their detection efficacy with water samples collected from horticultural nurseries and in in situ tests of infected root zones of Chamaecyparis , tomato and Chrysanthemum . In these comparisons, ZTI was again the most sensitive test for water samples, although membrane filtration-dilution plating proved to be a more consistent test. Dipstick and baiting assays were the best techniques for in situ testing, and dipsticks provided epidemiologically valuable, quantitative data on pathogen propagule numbers.

A membrane filtration test has been developed for the detection of viable zoospores of Pythium species. Zoospore suspensions were filtered through 5 (m nitrocellulose membranes and the membranes incubated overnight in 0.07 M glucose, rifamycin (30 mg litre-') and pimaricin (100 mg litre-'). Zoospore germlings were detected using a polyclonal antiserum, raised to mycelial surface washings of five Pythium spp., and visualised with Sigma fast red. The assay gave positive results for all Pythium spp. tested and also to zoospores of Phytophthora cryptogea. Of 10 fungal species isolated from commercial irrigation water, two were detected by the polyclonal antiserum in ELISA tests but only one produced detectable zoospore germlings. The latter isolate was later identified as a Pythium sp. Irrigation water samples collected from commercial UK nurseries yielded zoospores of both Pythium and Phytophthora spp. which, using the assay, were positively identified. Results indicated greater sensitivity than was seen with conventional plating methods. This is a test which could be adapted for on-site use in commercial nurseries.

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We have evaluated three prognostic variables in Weather Research and Forecasting (WRF) model, mean daily temperature, daily maximum temperature, and daily minimum temperature using 9 months of model simulations at 36 and 12 km resolution, and compared the results with 1182 observational sites in north and central Europe. The quality of the results is then determined in the context of the governing variables used in crop science, forestry, and aerobiological models. We use the results to simulate the peak of the birch pollen season (aerobiology), growth of barley (crop science), and development of the invasive plant pathogenHymenoscyphus pseudoalbidus(the cause of ash-dieback). The results show that the crop and aerobiological models are particularly sensitive to grid resolution and much higher quality is obtained from the 12 km simulations compared to 36 km. The results also show that the summer months have a bias, in particular for maximum and minimum temperatures, and that the low/high bias is clustered in two areas: continental and coastal influenced areas. It is suggested that the use of results from meteorological models as an input into biological models needs particular attention in the quality of the modelled surface data as well as the applied land surface modules.