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RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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Why RGB Imaging Should be Used to Analyze Fusarium Graminearum Growth and Estimate Deoxynivalenol Contamination

Edgar Cambaza1,2, Shigenobu Koseki3, Shuso Kawamura4

  • 1Laboratory of Food Process Engineering, Graduate School of Agriculture, Hokkaido University, Sapporo 060-0808, Japan. edy@bpe.agr.hokudai.ac.jp.

Methods and Protocols
|June 6, 2019
PubMed

Insights

RGB imaging analysis offers a practical and cost-effective method for measuring fungal growth and deoxynivalenol (DON) concentration, outperforming traditional size-based methods and subjective visual assessments for Fusarium head blight detection.

Area of Science:

  • Agricultural Science
  • Mycology
  • Plant Pathology

Background:

  • Traditional fungal growth studies using size-based measurements lack maturity information and are impractical for irregular growth patterns.
  • Current methods for detecting Fusarium head blight (FHB) and mycotoxin contamination are labor-intensive, time-consuming, and often subjective or expensive.
  • Visual examination for FHB is subjective, relying heavily on analyzer expertise, while deoxynivalenol (DON) determination methods are costly and not routine-friendly.

Purpose of the Study:

  • To advocate for the adoption of RGB imaging analysis over size-based variables for measuring Fusarium graminearum growth.
  • To highlight RGB imaging analysis as a superior tool for quantifying deoxynivalenol (DON) concentration.
  • To present RGB imaging analysis as a practical, cost-effective, and statistically enhanceable alternative for fungal analysis.

Main Methods:

  • Utilizing RGB (red, green, blue) imaging analysis to capture fungal characteristics.
  • Applying statistical methods to enhance the data obtained from RGB imaging.
  • Comparing RGB imaging analysis with traditional size-based measurements and visual assessments.

Main Results:

  • RGB imaging analysis provides a more practical and informative approach to measuring fungal growth compared to size-based methods.
  • This method offers a viable alternative for assessing fungal maturity and irregular growth patterns.
  • RGB imaging analysis shows potential for accurate and efficient deoxynivalenol (DON) concentration determination.

Conclusions:

  • RGB imaging analysis is a recommended tool for measuring Fusarium graminearum growth, surpassing limitations of size-based methods.
  • This technique offers an inexpensive and user-friendly alternative for routine mycotoxin contamination detection.
  • Enhancing RGB imaging with statistical methods improves its utility in agricultural and mycological research.
Keywords:
Fusarium graminearumRGBdeoxynivalenolgrowth

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