Link to home

AnthracnoseTracer: A Spatiotemporal Model for Simulating the Spread of Anthracnose in a Lupin Field

October 2002 , Volume 92 , Number  10
Pages  1,110 - 1,121

A. J. Diggle , M. U. Salam , G. J. Thomas , H. A. Yang , M. O'Connell , and M. W. Sweetingham

First, third, fifth, and sixth authors: Department of Agriculture-Western Australia, 3 Baron-Hay Court, South Perth, WA 6151, Australia; second author: Centre for Cropping Systems, Department of Agriculture-Western Australia, Lot 12 (P.O. Box 483), Northam, WA 6401, Australia; and first, third, fourth, and fifth authors: Co-operative Research Centre for Legumes in Mediterranean Agriculture, The University of Western Australia, Crawley, WA 6009, Australia


Go to article:
Accepted for publication 15 May 2002.
ABSTRACT

A spatiotemporal model has been developed to simulate the spread of anthracnose, initiated by infected seed, in a lupin field. The model quantifies the loss of healthy growing points of lupin in all 1-m2 subunits of a field throughout a growing season. The development of growing points is modeled as a function of temperature using a 1-day time step, and disease-induced compensatory growth is accounted for. Dispersal of spores is simulated explicitly using Monte Carlo techniques. Spread of spores occurs during rainfall events on a 1-h time step. The distance traveled by spores is partially dependent on wind speed and is generated by adding the values selected from half-Cauchy distributions. The direction of travel of the spores is influenced by wind direction. The model has been employed to produce a theoretical assessment of damage from disease in two environments at five levels of seed infection. It was calculated that in a susceptible lupin cultivar with a 0.01% initial seed infection, anthracnose would cause approximately 15% loss of healthy growing points in a high rainfall environment in Western Australia. In a low rainfall environment, similar damage would be unlikely even with a much higher (1%) level of seed infection.


Additional keywords: growing point loss, quantitative epidemiology, spread of diseases.

© 2002 The American Phytopathological Society