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"Macrobot": An Automated Segmentation-Based System for Powdery Mildew Disease Quantification.

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Plant Phenomics (Washington, D.C.)
|December 14, 2020
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Summary
This summary is machine-generated.

Plant disease management faces challenges, but genomic data linked with phenotypic data offers solutions. A new Macrophenomics facility automates disease symptom quantification for improved crop resistance research.

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Area of Science:

  • Plant Pathology
  • Genomics
  • Agricultural Science

Background:

  • Increasing challenges in plant disease management due to climate change and pesticide resistance.
  • Genomic advancements offer potential solutions but require integration with phenotypic data.
  • Linking genomic information to specific plant traits is crucial for effective disease resistance strategies.

Purpose of the Study:

  • To develop and implement an automated high-throughput phenotyping system for quantifying plant disease symptoms.
  • To create a "Macrophenomics facility" integrating methods and equipment for disease assessment.
  • To adapt the system for various diseases and host plants, starting with powdery mildew on wheat and barley.

Main Methods:

  • Development of a Macrophenomics facility with specialized equipment and methods.
  • Optimization of a pipeline for automated quantification of visible powdery mildew symptoms.
  • Inoculation of wheat and barley with powdery mildew and scoring of symptoms 5-7 days after inoculation (dai).

Main Results:

  • The Macrophenomics pipeline automates the scoring of visible powdery mildew symptoms.
  • The system precisely and reproducibly quantifies the percentage of infected leaf area.
  • Achieved a theoretical throughput of up to 10,000 samples per day.

Conclusions:

  • The Macrophenomics facility provides a powerful tool for high-throughput phenotyping of large germplasm collections and crossing populations.
  • Automated quantification of disease symptoms enables efficient linking of genomic data to plant traits.
  • The system facilitates the development of improved crop resistance strategies against plant diseases.