Novel Technologies for the detection of Fusarium head blight disease and airborne inoculum

Jonathan S West1, Gail G M Canning1, Sarah A Perryman1

  • 1Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ UK.

Tropical Plant Pathology
|July 28, 2020
PubMed

Insights

Air sampling with advanced diagnostics rapidly detects airborne pathogen spores, enabling timely fungicide application and monitoring of genetic changes. Optical sensing can map disease severity, like Fusarium in wheat, to prevent toxins in the food chain.

Area of Science:

  • Plant pathology
  • Agricultural science
  • Environmental monitoring

Background:

  • Airborne pathogen spores are a major dispersal mechanism for plant diseases.
  • Effective disease management relies on early detection and understanding pathogen population dynamics.

Purpose of the Study:

  • To review methods for airborne spore detection and their application in disease control.
  • To explore the use of air sampling and advanced diagnostics for pathogen monitoring.
  • To highlight optical sensing for early disease detection and management of specific crop diseases.

Main Methods:

  • Air sampling integrated with diagnostic techniques (DNA-based, antibody-based, biomarker-based).
  • Quantitative polymerase chain reaction (qPCR) and loop-mediated isothermal amplification (LAMP) for species-specific identification.
  • Optical sensing methods, including chlorophyll fluorescence, for early disease detection.
  • Development of spore concentration thresholds based on sampler location and weather models.

Main Results:

  • Air sampling coupled with diagnostics provides rapid inoculum detection for improved fungicide timing.
  • These methods allow monitoring of pathogen genetic traits, such as fungicide resistance.
  • Optical sensing enables early detection and mapping of diseases like Fusarium in wheat.
  • Early detection facilitates targeted harvesting to prevent toxin contamination in food.

Conclusions:

  • Advanced air sampling and diagnostic tools are crucial for proactive plant disease management.
  • Integrating spore detection with weather models and optical sensing enhances disease control strategies.
  • Targeted management based on early detection can mitigate crop losses and food safety risks.

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