Špundová Martina, Kučerová Zuzana, Nožková Vladimíra, Opatíková Monika, Procházková Lucie, Klimeš Pavel, Nauš Jan
Department of Biophysics, Faculty of Science, Palacký University, Šlechtitelů 27, Olomouc 783 71, Czech Republic.
Department of Chemical Biology, Faculty of Science, Palacký University, Šlechtitelů 27, Olomouc 783 71, Czech Republic.
Plant Phenomics. 2024 Aug 29;6:0243. doi: 10.34133/plantphenomics.0243. eCollection 2024.
In the context of global climate change and the increasing need to study plant response to drought, there is a demand for easily, rapidly, and remotely measurable parameters that sensitively reflect leaf water status. Parameters with this potential include those derived from leaf spectral reflectance (R) and chlorophyll fluorescence. As each of these methods probes completely different leaf characteristics, their sensitivity to water loss may differ in different plant species and/or under different circumstances, making it difficult to choose the most appropriate method for estimating water status in a given situation. Here, we present a simple comparative analysis to facilitate this choice for leaf-level measurements. Using desiccation of tobacco ( L. cv. Samsun) and barley ( L. cv. Bojos) leaves as a model case, we measured parameters of spectral R and chlorophyll fluorescence and then evaluated and compared their applicability by means of introduced coefficients (coefficient of reliability, sensitivity, and inaccuracy). This comparison showed that, in our case, chlorophyll fluorescence was more reliable and universal than spectral R. Nevertheless, it is most appropriate to use both methods simultaneously, as the specific ranking of their parameters according to the coefficient of reliability may indicate a specific scenario of changes in desiccating leaves.
在全球气候变化以及研究植物对干旱响应的需求日益增加的背景下,需要有能够轻松、快速且远程测量的参数,以灵敏地反映叶片水分状况。具有这种潜力的参数包括那些源自叶片光谱反射率(R)和叶绿素荧光的参数。由于这些方法中的每一种都探测完全不同的叶片特征,它们对水分损失的敏感性在不同植物物种和/或不同情况下可能会有所不同,这使得在给定情况下难以选择最合适的方法来估计水分状况。在此,我们进行了一项简单的比较分析,以方便在叶片水平测量时做出这种选择。以烟草(L. cv. Samsun)和大麦(L. cv. Bojos)叶片的干燥作为模型案例,我们测量了光谱R和叶绿素荧光的参数,然后通过引入的系数(可靠性系数、灵敏度和不准确度)评估并比较了它们的适用性。这种比较表明,在我们的案例中,叶绿素荧光比光谱R更可靠且更具通用性。然而,同时使用这两种方法最为合适,因为根据可靠性系数对其参数进行的具体排序可能表明叶片干燥过程中变化的特定情况。