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用于植物表型分析和生理研究的RGB与光谱根系成像:实验装置与成像方案

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols.

作者信息

Bodner Gernot, Alsalem Mouhannad, Nakhforoosh Alireza, Arnold Thomas, Leitner Daniel

机构信息

Division of Agronomy, Department of Crop Sciences, University of Natural Resources and Life Sciences;

Division of Agronomy, Department of Crop Sciences, University of Natural Resources and Life Sciences.

出版信息

J Vis Exp. 2017 Aug 8(126):56251. doi: 10.3791/56251.

Abstract

Better understanding of plant root dynamics is essential to improve resource use efficiency of agricultural systems and increase the resistance of crop cultivars against environmental stresses. An experimental protocol is presented for RGB and hyperspectral imaging of root systems. The approach uses rhizoboxes where plants grow in natural soil over a longer time to observe fully developed root systems. Experimental settings are exemplified for assessing rhizobox plants under water stress and studying the role of roots. An RGB imaging setup is described for cheap and quick quantification of root development over time. Hyperspectral imaging improves root segmentation from the soil background compared to RGB color based thresholding. The particular strength of hyperspectral imaging is the acquisition of chemometric information on the root-soil system for functional understanding. This is demonstrated with high resolution water content mapping. Spectral imaging however is more complex in image acquisition, processing and analysis compared to the RGB approach. A combination of both methods can optimize a comprehensive assessment of the root system. Application examples integrating root and aboveground traits are given for the context of plant phenotyping and plant physiological research. Further improvement of root imaging can be obtained by optimizing RGB image quality with better illumination using different light sources and by extension of image analysis methods to infer on root zone properties from spectral data.

摘要

更好地理解植物根系动态对于提高农业系统的资源利用效率和增强作物品种对环境胁迫的抗性至关重要。本文介绍了一种用于根系RGB和高光谱成像的实验方案。该方法使用根箱,使植物在天然土壤中生长较长时间,以观察发育完全的根系。以评估水分胁迫下的根箱植物和研究根系的作用为例说明了实验设置。描述了一种RGB成像装置,用于随着时间推移对根系发育进行廉价且快速的量化。与基于RGB颜色的阈值分割相比,高光谱成像改善了根系与土壤背景的分割效果。高光谱成像的独特优势在于获取根 - 土系统的化学计量信息以进行功能理解,这通过高分辨率含水量映射得到了证明。然而,与RGB方法相比,光谱成像在图像采集、处理和分析方面更为复杂。两种方法的结合可以优化对根系系统的综合评估。针对植物表型分析和植物生理学研究的背景,给出了整合根系和地上部性状的应用实例。通过使用不同光源改善光照条件来优化RGB图像质量,并扩展图像分析方法以从光谱数据推断根区特性,可以进一步改进根系成像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0daa/5614140/f1abe9f6b522/jove-126-56251-0.jpg

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