Measurements of Photochemical Reflectance Index as a Tool for Remote Monitoring of Photosynthetic Parameters of Plants

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
Yu. A. Zolin, E. M. Sukhova, V. S. Sukhov
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引用次数: 0

Abstract

Developing remote and proximal sensing techniques to detect the early photosynthetic responses in stress conditions is of importance for agriculture and ecology. The photochemical reflectance index (PRI), which is typically calculated from the reflected light intensities at 531 and 570 nm, is potentially sensitive to rapid changes in photosynthesis under unfavorable conditions. Mechanisms of changes in PRI are thought to include chloroplast shrinkage, aggregation of light-harvesting complexes, transitions in the xanthophyll cycle, and changes in chlorophyll and carotenoid concentrations. This renders it difficult to employ PRI difficult in monitoring plant health. Use of pulsed light for measurements, study of the light-induced changes in PRI, and analysis of modified PRIs provide means to improve the efficiency of PRI applications. Other means (e.g., developing methods to estimate PRI on the basis of RGB imaging) are also impossible to exclude. Improving techniques to measure and analyze PRI holds significant promise for monitoring the photosynthetic responses of plants to environmental stress factors.

Abstract Image

光化学反射率的测量作为植物光合参数远程监测的工具
开发遥感和近距离传感技术来检测胁迫条件下的早期光合作用反应,对农业和生态学都具有重要意义。光化学反射指数(PRI)通常由 531 和 570 纳米波长的反射光强度计算得出,它对不利条件下光合作用的快速变化具有潜在的敏感性。据认为,PRI 的变化机制包括叶绿体收缩、光捕获复合物聚集、黄绿素循环的转变以及叶绿素和类胡萝卜素浓度的变化。这使得 PRI 难以用于监测植物健康。使用脉冲光进行测量、研究光引起的 PRI 变化以及分析修改后的 PRI,是提高 PRI 应用效率的方法。其他方法(例如,开发基于 RGB 成像估算 PRI 的方法)也不在话下。改进 PRI 测量和分析技术对于监测植物光合作用对环境胁迫因素的响应具有重大意义。
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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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