Indication of Light Stress in Ficus elastica Using Hyperspectral Imaging

被引:1
作者
Dmitriev, Pavel A. [1 ]
Kozlovsky, Boris L. [1 ]
Dmitrieva, Anastasiya A. [1 ]
Lysenko, Vladimir S. [1 ]
Chokheli, Vasily A. [1 ]
Varduni, Tatyana V. [1 ]
Conti, Leonardo
Ferraz, Gabriel Araujo e Silva
Rossi, Giuseppe
机构
[1] Southern Fed Univ, Acad Biol & Biotechnol, Bot Garden, Rostov Na Donu 344006, Russia
来源
AGRIENGINEERING | 2023年 / 5卷 / 04期
基金
俄罗斯科学基金会;
关键词
hyperspectral imaging; fluorescence; photoinhibition; random forest; light stress; Ficus elastica; PHOTOSYSTEM-II; ACCLIMATION; PHOTOINHIBITION; SUN;
D O I
10.3390/agriengineering5040138
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Hyperspectral imaging techniques are widely used to remotely assess the vegetation and physiological condition of plants. Usually, such studies are carried out without taking into account the light history of the objects (for example, direct sunlight or light scattered by clouds), including light-stress conditions (photoinhibition). In addition, strong photoinhibitory lighting itself can cause stress. Until now, it is unknown how light history influences the physiologically meaningful spectral indices of reflected light. In the present work, shifts in the spectral reflectance characteristics of Ficus elastica leaves caused by 10 h exposure to photoinhibitory white LED light, 200 mu mol photons m-2 s-1 (light stress), and moderate natural light, 50 mu mol photons m-2 s-1 (shade) are compared to dark-adapted plants. Measurements were performed with a Cubert UHD-185 hyperspectral camera in discrete spectral bands centred on wavelengths from 450 to 950 nm with a 4 nm step. It was shown that light stress leads to an increase in reflection in the range of 522-594 nm and a decrease in reflection at 666-682 nm. The physiological causes of the observed spectral shifts are discussed. Based on empirical data, the light-stress index (LSI) = mean(R666:682)/mean(R552:594) was calculated and tested. The data obtained suggest the possibility of identifying plant light stress using spectral sensors that remotely fix passive reflection with the need to take light history into account when analysing hyperspectral data.
引用
收藏
页码:2253 / 2265
页数:13
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