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High throughput phenotyping of cross-sectional morphology to assess stalk lodging resistance.

Yusuf A OduntanChristopher J StubbsDaniel J Robertson
Published in: Plant methods (2022)
A rapid, low-cost, and user-friendly phenotyping methodology was developed to quantify two-dimensional plant cross-sections. The methodology offers reduced sample preparation time and cost as compared to previously developed techniques. The new methodology employs a stereoscope and a semi-automated image processing algorithm. The algorithm can be used to produce specimen-specific, dimensionally accurate computational models (including finite element models) of plant stalks.
Keyphrases
  • high throughput
  • low cost
  • deep learning
  • finite element
  • machine learning
  • cross sectional
  • single cell
  • high resolution
  • cell wall
  • mass spectrometry
  • loop mediated isothermal amplification