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Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot.

Samuel C McDonaldJames BuckZenglu Li
Published in: Plant methods (2022)
Image analysis provides improved resolution over conventional methods of frogeye leaf spot disease phenotyping. This method can improve the precision and resolution of phenotyping frogeye leaf spot, which can be used in genetic mapping to identify QTLs for crop genetic resistance and in breeding efforts for resistance to the disease.
Keyphrases
  • high throughput
  • deep learning
  • machine learning
  • climate change
  • copy number
  • dna methylation
  • quality improvement
  • high density