Abdullaev Firuz, Churikova Daria, Pirogova Polina, Lysov Maxim, Vodeneev Vladimir, Sherstneva Oksana
Department of Biophysics, National Research Lobachevsky, State University of Nizhny Novgorod, 23 Gagarin Avenue, 603022 Nizhny Novgorod, Russia.
N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR), 42-44 Bolshaya Morskaya, 190000 Saint Petersburg, Russia.
Plants (Basel). 2024 Dec 31;14(1):91. doi: 10.3390/plants14010091.
Global climate change and the associated increasing impact of droughts on crops challenges researchers to rapidly assess plant health on a large scale. Photosynthetic activity is one of the key physiological parameters related to future crop yield. The present study focuses on the search for reflectance parameters for rapid screening of wheat genotypes with respect to photosynthetic activity under drought conditions. The development of drought stress modelled in laboratory conditions by stopping irrigation caused changes in chlorophyll fluorescence parameters that corresponded to a decrease in photosynthetic activity. In particular, a decrease in the photochemical quantum yield of photosystem II (Φ), which characterizes the rate of linear electron transport in the photosynthetic electron transport chain and is one of the most sensitive parameters responding at the early stages of drought stress, was observed. Along with the measurement of the photosynthetic activity, spectral characteristics of wheat plants were recorded using hyperspectral imaging. Normalized difference indices (NDIs) were calculated using the reflectance intensity of wheat shoots in the range from 400 to 1000 nm. Four NDIs that showed a strong correlation with the level of photosynthetic activity estimated by Φ were selected from different wavelength ranges (NDI, NDI, NDI, and NDI). The indices NDI and NDI showed the best combination of sensitivity to soil moisture deficit and strong relationship with photosynthetic activity under drought stress. Possible molecular and physiological causes of this relationship are discussed. The use of the proposed indices will allow to monitor in detail the specific features of wheat plant response and can serve as one of the criteria for selection of the most promising genotypes in breeding of drought-tolerant cultivars.
全球气候变化以及干旱对作物日益增加的影响,促使研究人员迅速对植物健康状况进行大规模评估。光合活性是与未来作物产量相关的关键生理参数之一。本研究聚焦于寻找反射率参数,以便在干旱条件下针对光合活性对小麦基因型进行快速筛选。通过停止灌溉在实验室条件下模拟干旱胁迫的发展,导致叶绿素荧光参数发生变化,这与光合活性的降低相对应。特别是,观察到光系统II的光化学量子产率(Φ)下降,该参数表征光合电子传递链中的线性电子传递速率,并且是在干旱胁迫早期响应的最敏感参数之一。在测量光合活性的同时,利用高光谱成像记录了小麦植株的光谱特征。使用400至1000nm范围内小麦嫩枝的反射强度计算归一化差异指数(NDIs)。从不同波长范围中选择了四个与由Φ估计的光合活性水平具有强相关性的NDIs(NDI、NDI、NDI和NDI)。指数NDI和NDI显示出对土壤水分亏缺的敏感性与干旱胁迫下光合活性之间的最佳组合关系。讨论了这种关系可能的分子和生理原因。所提出指数的使用将有助于详细监测小麦植株响应的具体特征,并可作为在耐旱品种育种中选择最有前景基因型的标准之一。