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

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.

[1]  G. Hughes,et al.  Bayesian analysis of plant disease prediction , 2002 .

[2]  F. Bosch,et al.  Modelling leaf wetness duration during the rosette stage of oilseed rape , 2004 .

[3]  Paul Teng,et al.  Development of empirical forecasting models for rice blast based on weather factors , 1996 .

[4]  S. Coakley,et al.  Predicting Stripe Rust Severity on Winter Wheat Using an Improved Method for Analyzing Meteorological and Rust Data , 1988 .

[5]  S. Coakley,et al.  Model for predicting severity of Septoria tritici blotch on winter wheat , 1985 .

[6]  L. Madden,et al.  Correlation of growing season environmental variables and the effect of early dying on potato yield , 1990 .

[7]  N. Paveley,et al.  Agronomic and meteorological factors affecting the severity of leaf blotch caused by Mycosphaerella graminicola in commercial wheat crops in England , 2001 .

[8]  Alice E. Milne,et al.  A wheat canopy model for use in disease management decision support systems , 2003 .

[9]  J. Manners,et al.  The effect of temperature and light intensity on growth and sporulation of Puccinia striiformis on wheat , 1985 .

[10]  L. Huber,et al.  Comparative effect of temperature and interrupted wet periods on germination, penetration, and infection of Puccinia recondita f. sp. tritici and P. striiformis on wheat seedlings , 1995 .

[11]  F. C. van den Bosch,et al.  The sensitivity of the epidemic growth rate to weather variables, with an application to yellow rust on wheat. , 2007, Phytopathology.

[12]  R. K. Scott,et al.  Tolerance of septoria leaf blotch in winter wheat , 2004 .

[13]  S. Coakley,et al.  Statistical models for prediction of stripe rust on winter wheat in the Pacific northwest , 1982 .

[14]  D. R. Tottman The decimal code for the growth stages of cereals, with illustrations , 1987 .

[15]  N. Paveley,et al.  The importance of weather and agronomic factors for the overwinter survival of yellow rust (Puccinia striiformis) and subsequent disease risk in commercial wheat crops in England , 2007 .

[16]  T. B. Vaughan,et al.  Predicting epidemics of yellow rust (Puccinia striiformis) on the upper canopy of wheat from disease observations on lower leaves , 2003 .

[17]  P. Teng,et al.  Influence of leaf position on yield loss caused by wheat leaf rust in single tillers , 1991 .

[18]  D. Jones,et al.  Factors affecting diseases of winter wheat in England and Wales, 1989–98 , 2001 .

[19]  O. Bethenod,et al.  Preinoculation Effects of Light Quantity on Infection Efficiency of Puccinia striiformis and P. triticina on Wheat Seedlings. , 2002, Phytopathology.

[20]  Ray F. Smith,et al.  THE INTEGRATION OF CHEMICAL AND BIOLOGICAL CONTROL OF , 1959 .

[21]  L. Madden Botanical epidemiology:some key advances and its continuing role in disease management , 2006 .

[22]  S. Pietravalle,et al.  Modeling of Relationships Between Weather and Septoria tritici Epidemics on Winter Wheat: A Critical Approach. , 2003, Phytopathology.

[23]  Kenneth B. Johnson Defoliation, disease, and growth: a reply , 1987 .

[24]  M. Jeger,et al.  Predicting the rate of development of black Sigatoka (Mycosphaerella fijiensis var. difformis) disease in Southern Taiwan , 1987 .

[25]  J. C. Zadoks,et al.  Yellow rust on wheat studies in epidemiology and physiologic specialization , 1961, Tijdschrift Over Plantenziekten.

[26]  Ray F. Smith,et al.  The integrated control concept , 1959 .