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Assessing the Storage Root Development of Cassava with a New Analysis Tool
Jens Wilhelm1, Tobias Wojciechowski1, Johannes A Postma1
1Institute of Plant Sciences, IBG-2, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
Plant Phenomics (Washington, D.C.)
|May 25, 2023
Summary
A new automated method accurately analyzes cassava root diameters, aiding crop breeding. This technique quantifies root traits from images, improving high-throughput phenotyping for higher yields.
Area of Science:
- Agricultural Science
- Plant Biology
- Image Analysis
Background:
- Cassava storage roots are a vital starch source globally.
- High-yield cassava varieties are essential for food security and breeding programs.
- Manual evaluation of root morphology is time-consuming and labor-intensive.
Purpose of the Study:
- To develop and validate an automated method for analyzing cassava storage root diameter distribution.
- To enable quantitative monitoring of root formation dynamics.
- To support high-throughput phenotyping in cassava breeding.
Main Methods:
- An iterative ridge detection approach was developed for automatic root diameter quantification.
- Cassava roots were imaged in a video acquisition box.
- The method was validated using virtual root models and tested on time-series excavated root systems.
Main Results:
- The automated method accurately quantifies root diameter distribution, even with high root density and varied diameters.
- The approach successfully coped with wide spans of root diameters and clustering.
- The method demonstrated reliable determination of phenotypic traits from storage root images.
Conclusions:
- The new method provides a fast, robust, and reliable way to analyze complex cassava root systems.
- This technique is suitable for high-throughput phenotyping and advancing cassava breeding efforts.
- Automated analysis of root diameter distribution offers valuable insights into storage root formation dynamics.

