Use of Image Analysis in the Evaluation of Radicular Nodules in Chickpeas

Abstract

Through the use of computational systems, it is possible to employ a wide range of statistical techniques, available as open-source code, to perform various assessments in plants. This study aims to demonstrate the application of image analysis in the context of evaluating root nodules in chickpea plants, aiming to standardize a methodology. The research was conducted in the field, where roots were collected, cleaned, and photographed in a studio using a camera with ISO320, SPEED 1/1500 F1.5 M0.6, WB490K. Image analyses were carried out using R software. Parameters related to roots and nodules were obtained, including root area (cm2), nodule area (cm²), the percentage of nodules in relation to roots, and the number of nodules. Comparing the method with conventional approaches showed efficiency, highlighting the effectiveness of this tool for the intended purpose. It is concluded that the use of the developed methodology can be successfully applied to the analysis of nodules and root systems, providing the evaluation of various parameters with precision, reducing labor costs, and saving time.

Plant phenotyping relevance

ヒヨコマメの根・根粒形質を画像解析で取得する方法を開発し、従来法と比較して検証しているため、フェノタイピング手法が中心である。

Code and data availability

The paper reports chickpea root/nodule image analysis using the R ExpImage package, but declares 'Availability of data and materials: Not applicable' and provides no public dataset, image collection, or author analysis code/workflow. The ExpImage CRAN package is a generic image-analysis library (cited prior work), nota

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