Simulating crop-disease interactions in agricultural landscapes to analyse the effectiveness of host resistance in disease control: The case of potato late blight
Authored by Gert Jan Hofstede, Francine C A Pacilly, Bueren Edith T Lammerts van, Geert J T Kessel, Jeroen C J Groot
Date Published: 2018
DOI: 10.1016/j.ecolmodel.2018.03.010
Sponsors:
No sponsors listed
Platforms:
NetLogo
Model Documentation:
ODD
Mathematical description
Model Code URLs:
https://www.comses.net/codebases/b9823eac-a9d2-488e-9a5f-aa0b098329bd/releases/1.0.0/
Abstract
Disease-resistant potato varieties can play a key role in sustainable
control of potato late blight. However, when these varieties are more
widely used, resistance breakdown can occur as a result of pathogen
adaptation. Here we focussed on potato cultivation in the Netherlands,
where new (single gene) resistant varieties have been introduced over
the last ten years. This new generation of late blight resistant
varieties has moderate yield levels and does not meet all market
requirements. As a result, adoption rates for resistant varieties have
been low so far. We developed a spatially explicit agent-based model to
simulate potato production, disease spread and pathogen evolution at the
landscape level. We analysed how late blight severity, resistance
durability and potato yield are affected by the spatial deployment of a
resistant variety, with a lower potential yield than susceptible
varieties. The model was applied to an agricultural region in the
Netherlands (596 km(2)) and was run for a period of 36 years using daily
weather data as input for crop growth and disease dynamics. The short-
and long-term effects of the deployment of a resistant variety were
analysed with the model. With respect to short-term dynamics, years were
analysed independently to study between year variation. The model
demonstrated that in most years, susceptible fields without fungicide
application suffered severe yield losses and resistant fields performed
better despite their lower potential yield. Resistance breakdown was
observed in a small fraction of fields with the resistant variety, but
this did not affect mean potato yield or disease incidence in the short
term since it occurred at the end of the growing season. Increasing the
fraction of potato fields with the resistant variety strongly reduced
late blight infection within a landscape. With respect to the long-term
effects, the model showed the emergence and spread of a virulent strain
over time. The virulent strain gradually took over the pathogen
population, decreasing mean potato yields from fields with the resistant
variety. This occurred in all landscape compositions where the resistant
variety was deployed to different extents. It was found that low as well
as high proportions of fields with the resistant variety could increase
durability of resistance. With these findings, the model provided more
insight into the opportunities and risks related to the use of plant
resistance in disease control, an important and sustainable disease
management strategy.
Tags
Agent-based modelling
Agent-based models
Management
Heterogeneity
Dispersal
durability
Plant
Phytophthora infestans
Host-pathogen
interactions
Cropping patterns
Pathogen evolution
Resistance
management
Gaussian plume model
Phytophthora-infestans
Durable resistance
Breeding strategies