Abstract

Salt stress is one of the abiotic factors that causes adverse effects in plants and there is an urgent need to detect salt stress in plants as early as possible. Multicolor fluorescence imaging, as a powerful tool in plant phenotyping, can provide information about primary and secondary metabolism in plants to detect the responses of the plants exposed to stress in the early stage. The purpose of this study was to evaluate the potential of multicolor fluorescence imaging’s application in the early detection of salt stress in plants. In this study, the measurements were conducted on Arabidopsis and the multicolor fluorescence images were acquired at 440, 520, 690, and 740 nm with a self-developed imaging system consisting of a UV light-emitting diode (LED) panel for an excitation at 365 nm, a charge coupled device (CCD) camera, interference filters, and a computer. We developed a classification method using the imaging analysis of multicolor fluorescence based on principal component analysis (PCA) and a support vector machine (SVM). The results showed that the four principal fluorescence feature combinations were the ideal indicators as the inputs of the SVM model, and the classification accuracies of the control and salt-stress treatment at 5 days and 9 days were 92.65% and 98.53%, respectively. The results indicated that multicolor fluorescence imaging combined with PCA and SVM could act as a tool for early detection in salt-stressed plants.

Highlights

  • Salinity has become one of the most challenging problems in plant development and crop productivity worldwide [1,2]

  • From the RGB images, it can be observed that the slender leaves of the plant under salt stress treatment changed in roundness over time and the salt stress caused a significant decrease in the projected leaf area after salt stress treatment for 7 days (Figure 2B)

  • In this study, the fluorescence images of normal growing and salt-stressed plants were acquired using multicolor fluorescence imaging, from which the difference of the growth status of plants could be significantly visualized after 5 days of salt-stress treatment

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Summary

Introduction

Salinity has become one of the most challenging problems in plant development and crop productivity worldwide [1,2]. In order to accelerate the process of breeding and the cultivation of salt-resistant crops, it is essential to monitor the growth status of plants. The evaluation of plant growth performance is often conducted via the analysis of the physiological, biochemical, and molecular responses of plants to environmental stress [5,6,7]. These methods of analyses are prone to being affected by environmental and genetic factors, and are sometimes destructive for plants. The development of noninvasive, fast, and efficient technologies for detecting plant growth status to promote the selection of useful plant traits has become a research focus in recent years [8,9]

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