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Disease-weather relationships for powdery mildew and yellow rust on winter wheat

te Beest, D. E. , Paveley, N. D., Shaw, M. W. and van den Bosch, F. (2008) Disease-weather relationships for powdery mildew and yellow rust on winter wheat. Phytopathology, 98 (5). pp. 609-617. ISSN 0031-949X

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To link to this article DOI: 10.1094/phyto-98-5-0609

Abstract/Summary

Key weather factors determining the occurrence and severity of powdery mildew and yellow rust epidemics on winter wheat were identified. Empirical models were formulated to qualitatively predict a damaging epidemic (>5% severity) and quantitatively predict the disease severity given a damaging epidemic occurred. The disease data used was from field experiments at 12 locations in the UK covering the period from 1994 to 2002 with matching data from weather stations within a 5 km range. Wind in December to February was the most influential factor for a damaging epidemic of powdery mildew. Disease severity was best identified by a model with temperature, humidity, and rain in April to June. For yellow rust, the temperature in February to June was the most influential factor for a damaging epidemic as well as for disease severity. The qualitative models identified favorable circumstances for damaging epidemics, but damaging epidemics did not always occur in such circumstances, probably due to other factors such as the availability of initial inoculum and cultivar resistance.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Centre for Food Security
Faculty of Life Sciences > School of Biological Sciences
ID Code:9748
Uncontrolled Keywords:Blumeria graminis f. sp tritici, climate change, data mining, epidemiology, Puccinia striiformis, PUCCINIA-STRIIFORMIS, LEAF BLOTCH, EPIDEMICS, SEVERITY, ENGLAND, GROWTH, PREDICTION, MANAGEMENT, CANOPY, MODELS

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