High-Throughput Screening to Examine the Dynamic of Stay-Green by an Imaging System.

Abstract

The development of RGB (red, green, blue) sensors has opened the way for plant phenotyping. This is relevant because plant phenotyping allows us to visualize the product of the interaction between the plant ontogeny, anatomy, physiology, and biochemistry. Better yet, this can be achieved at any stage of plant development, i.e., from seedling to maturity. Here, we describe the use of phenotyping, based on the stay-green trait, of common bean (Phaseolus vulgaris L.) plant, as a model, stressed by water deficit, to elucidate the result of that interaction. Description is based on interpretation of RGB digital images acquired using a phenomic platform and a specific software. These images allow us to obtain a data group related to the color parameters that quantify the changes and alterations in each plant growth and development.

Plant phenotyping relevance

RGB画像をフェノミックプラットフォームと専用ソフトで解析し、インゲンのstay-green形質や生育変化を定量化する手法の応用が中心である。

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