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Related Experiment Video

Updated: Jan 24, 2026

High-throughput Imaging and Analysis Workflow for Evaluating Skin Cell Phenotypes and Proliferation States in Tissue Samples
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High-Throughput Field Imaging and Basic Image Analysis in a Wheat Breeding Programme.

James Walter1,2, James Edwards1,2, Jinhai Cai3

  • 1School of Agriculture, Food and Wine, The University of Adelaide, Glen Osmond, SA, Australia.

Frontiers in Plant Science
|May 21, 2019
PubMed
Summary
This summary is machine-generated.

Digital imaging offers an objective, high-throughput alternative for assessing wheat traits. This study developed a pipeline for rapid, accurate colour-based trait analysis in wheat breeding programs.

Keywords:
canopy coverphenotypingphysiological yellowssenescenceseptoria tritici blotch

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Area of Science:

  • Plant breeding
  • Agricultural science
  • Digital imaging technology

Background:

  • Visual assessment of crop traits is subjective and slow.
  • Digital image analysis offers objectivity but lacks field-based high-throughput methods.
  • Wheat breeding requires efficient phenotyping for traits like colour.

Purpose of the Study:

  • Develop a high-throughput digital imaging and analysis pipeline for colour-based traits in wheat breeding.
  • Validate digital assessment against visual scoring in greenhouse and field trials.
  • Establish a practical, scalable phenotyping system for crop improvement.

Main Methods:

  • Proof-of-concept digital image analysis in a greenhouse.
  • Hand-held digital imaging for field trials.
  • Development of a high-throughput field imaging infrastructure (7,400 plots/hour).
  • Analysis of physiological yellowing, senescence, Septoria tritici blotch, and canopy cover.

Main Results:

  • Strong correlations (r=0.95) between visual and digital assessments for physiological yellowing in greenhouse.
  • High correlations (r=0.61-0.78) for field traits using hand-held imaging.
  • Digital scores showed greater heritability for most traits.
  • High-throughput system enabled rapid data collection with strong correlation to visual canopy cover assessments (r=0.86-0.88).

Conclusions:

  • High-throughput digital phenotyping is applicable to colour-based traits in wheat breeding.
  • The developed pipeline offers objective, efficient, and scalable assessment.
  • Methodology can be adapted for other field crops and breeding programs.