Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Invasion thresholds for fungicide resistance: deterministic and stochastic analyses

Gubbins1, Gilligan

  • 1Churchill College, Cambridge, UK. sg202@cam.ac.uk

Proceedings. Biological Sciences
|February 29, 2000
PubMed
Summary

Fungicide resistance risk is better understood with a new model. This model predicts when resistant strains invade based on fungicide application and pathogen fitness, aiding resistance management.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The role of sub-milankovitch climatic forcing in the initiation of the northern hemisphere glaciation

Science (New York, N.Y.)·1999
Same author

Quantifying Transport Between the Tropical and Mid-Latitude Lower Stratosphere

Science (New York, N.Y.)·1996
Same author

Erratum: Quantum projection noise: Population fluctuations in two-level systems

Physical review. A, Atomic, molecular, and optical physics·1995
Same author

Local thermodynamics of inhomogeneous fluids at equilibrium.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·1995
Same author

Generalized compressibility equation for inhomogeneous fluids at equilibrium.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·1993
Same author

Quantum projection noise: Population fluctuations in two-level systems.

Physical review. A, Atomic, molecular, and optical physics·1993

Area of Science:

  • Agricultural Science
  • Mathematical Biology
  • Ecology

Background:

  • Fungicide resistance poses a significant challenge in agriculture, yet population-level understanding remains limited.
  • Existing knowledge gaps hinder effective management strategies for preventing widespread resistance.
  • The dynamics of host-parasite interactions and chemical control are complex and require robust modeling.

Purpose of the Study:

  • To develop a mathematical model for analyzing fungicide resistance risk in botanical epidemics.
  • To incorporate host-parasite dynamics, demographic stochasticity, and fungicide application parameters.
  • To identify thresholds for the invasion of fungicide-resistant strains.

Main Methods:

  • Introduction of a simple nonlinear model for fungicide resistance.

Related Experiment Videos

  • Inclusion of fungicide dynamics (amount, longevity, frequency) and host population parameters.
  • Analysis of demographic stochasticity in host-parasite interactions.

    • Main Results:

    • The model reveals critical thresholds for resistant strain invasion, dependent on relative fitness and control effectiveness.
    • Below the threshold, resistant strains are eliminated; above it, invasion probability increases.
    • Fungicide decay rate, application amount, and frequency significantly influence control effectiveness and resistance development timelines.

    Conclusions:

    • The developed model provides a quantitative framework for assessing fungicide resistance risk.
    • Grower-controlled parameters like fungicide application can influence resistance development.
    • The model's principles are applicable to other forms of chemical resistance, including herbicides and antibiotics.