Lotfi Ramin, Eslami-Senoukesh Farzaneh, Mohammadzadeh Arash, Zadhasan Esmail, Abbasi Amin, Kalaji Hazem M
Dryland Agricultural Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Maragheh, Iran.
Department of Plant Production and Genetics, Maragheh University, Maragheh, Iran.
Sci Rep. 2024 Nov 20;14(1):28699. doi: 10.1038/s41598-024-80164-0.
Nowadays, climate change is the primary factor shaping the future of food and nutritional security. To investigate the interactive effects of various climate variables on photosynthetic efficiency, an experiment was conducted using 10 dryland wheat genotypes. These genotypes were exposed to different conditions: temperatures of 25 ± 3 °C and 34 ± 3 °C, carbon dioxide concentrations of 380 ± 50 ppm and 800 ± 50 ppm, and irrigation regimes of 50% field capacity and well-watered. Our results indicated that the wheat genotypes responded differently to both individual and combined climate stress factors. The traditional winter wheat genotype Sardari, along with the newly developed dryland wheat genotype Ivan, exhibited resilience to anticipated climate conditions. This resilience was reflected in enhancements in photochemical quantum efficiency parameters (Y(II), qP, and qL) under combined stress conditions. Resilient genotypes demonstrated superior regulation of the stomatal conductance (GS) and electron transport rate (ETR) under elevated temperature and CO levels. Principal component analysis (PCA) revealed significant correlations between chlorophyll fluorescence parameters and climate factors, such as NPQ with temperature, Y(NO) with CO, qL in response to drought stress, and both qP and Y(II) with the interactions among temperature, CO, and drought stress. Elevated CO reduced the ETR and GS across all genotypes. Our findings underscore the importance of assessing not only fundamental chlorophyll fluorescence parameters like Fm and Fo but also the efficiency of NPQ and Y(II) to understand climate change impacts on dryland wheat genotypes. We suggest that these parameters could serve as valuable biomarkers for breeding programs aimed at improving plant adaptation to future dryland climate conditions.
如今,气候变化是塑造粮食和营养安全未来的主要因素。为了研究各种气候变量对光合效率的交互作用,使用10个旱地小麦基因型进行了一项实验。这些基因型被置于不同条件下:温度为25±3°C和34±3°C,二氧化碳浓度为380±50 ppm和800±50 ppm,灌溉制度为田间持水量的50%和充分浇水。我们的结果表明,小麦基因型对单独和组合的气候胁迫因素反应不同。传统冬小麦基因型“Sardari”以及新培育的旱地小麦基因型“Ivan”对预期的气候条件表现出韧性。这种韧性体现在复合胁迫条件下光化学量子效率参数(Y(II)、qP和qL)的提高上。有韧性的基因型在高温和高二氧化碳水平下对气孔导度(GS)和电子传递速率(ETR)表现出更好的调节。主成分分析(PCA)揭示了叶绿素荧光参数与气候因素之间的显著相关性,例如NPQ与温度、Y(NO)与二氧化碳、响应干旱胁迫的qL,以及qP和Y(II)与温度、二氧化碳和干旱胁迫之间的相互作用。升高的二氧化碳降低了所有基因型的ETR和GS。我们的研究结果强调了不仅评估像Fm和Fo这样的基本叶绿素荧光参数,而且评估NPQ和Y(II)的效率对于理解气候变化对旱地小麦基因型影响的重要性。我们建议这些参数可以作为有价值的生物标志物,用于旨在提高植物对未来旱地气候条件适应性的育种计划。