Kögler Friederike, Söffker Dirk
Chair of Dynamics and Control, University of Duisburg-Essen, Lotharstr. 1-21, 47057 Duisburg, Germany.
Plants (Basel). 2019 Apr 18;8(4):105. doi: 10.3390/plants8040105.
In this study, different standard frequency analysis (FA) methods are applied to measured leaf temperature data of maize plants (developmental stages EC13-15). These FA methods are used to identify specific behaviors, regularities, and sudden changes in frequencies/amplitudes of data, e.g., in control engineering. The thorough application of different FA methods in plant studies is novel. The aim of this paper is to analyze features of the measured data and to explore the explanatory power of different methods for the detection of plant dynamic behavioral changes. The basic assumption is an expected relation between plant water stress and resulting changes in leaf temperature oscillations caused by stress-induced changes in stomatal behavior. Therefore, an irrigation experiment (laboratory; controlled environmental conditions) was implemented to compare leaf temperature behavior of stressed and unstressed plants. Leaf temperature time series are processed and the results are compared as functions of time showing the behavioral changes in terms of the different methods applied. The analysis of results is explained; conclusions, which can be made based on different methods, are given. The study confirms the applicability of FA methods and provides new insights into leaf temperature behavioral patterns. Results are discussed regarding the hypothesized incipience of leaf temperature oscillations due to water stress.
在本研究中,不同的标准频率分析(FA)方法被应用于测量的玉米植株(发育阶段EC13 - 15)叶片温度数据。这些FA方法用于识别数据频率/振幅中的特定行为、规律和突然变化,例如在控制工程中。在植物研究中全面应用不同的FA方法是新颖的。本文的目的是分析测量数据的特征,并探索不同方法对检测植物动态行为变化的解释力。基本假设是植物水分胁迫与气孔行为的胁迫诱导变化导致的叶片温度振荡变化之间存在预期关系。因此,开展了一项灌溉实验(实验室;可控环境条件),以比较受胁迫和未受胁迫植株的叶片温度行为。对叶片温度时间序列进行处理,并将结果作为时间的函数进行比较,展示应用不同方法时的行为变化。对结果分析进行了解释;给出了基于不同方法可得出的结论。该研究证实了FA方法的适用性,并为叶片温度行为模式提供了新的见解。针对因水分胁迫导致叶片温度振荡的假设起始情况对结果进行了讨论。