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两种水稻品种在环境CO₂浓度和高浓度CO₂条件下生长时光合特性和气体交换模拟的日变化和季节变化

Diurnal and Seasonal Variations in the Photosynthetic Characteristics and the Gas Exchange Simulations of Two Rice Cultivars Grown at Ambient and Elevated CO.

作者信息

Miao Yuxuan, Cai Yao, Wu Hao, Wang Dan

机构信息

Department of Ecology, College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China.

出版信息

Front Plant Sci. 2021 Apr 6;12:651606. doi: 10.3389/fpls.2021.651606. eCollection 2021.

Abstract

Investigating the diurnal and seasonal variations of plant photosynthetic performance under future atmospheric CO conditions is essential for understanding plant adaptation to global change and for estimating parameters of ecophysiological models. In this study, diurnal changes of net photosynthetic rate (A), stomatal conductance (g), and photochemical efficiency of PSII (F'/F ') were measured in two rice cultivars grown in the open-top-chambers at ambient (∼450 μmol mol) and elevated (∼650 μmol mol) CO concentration [(CO)] throughout the growing season for 2 years. The results showed that elevated (CO) greatly increased A, especially at jointing stage. This stimulation was acclimated with the advance of growing season and was not affected by either stomatal limitations or Rubisco activity. Model parameters in photosynthesis model (V, J, and R) and two stomatal conductance models (m and g) varied across growing stages and m and g also varied across (CO) treatments and cultivars, which led to more accurate photosynthesis and stomatal conductance simulations when using these cultivar-, CO-, and stage- specific parameters. The results in the study suggested that further research is still needed to investigate the dominant factors contributing to the acclimation of photosynthetic capacity under future elevated CO conditions. The study also highlighted the need of investigating the impact of other environmental, such as nitrogen and O, and non-environmental factors, such as additional rice cultivars, on the variations of these parameters in photosynthesis and stomatal conductance models and their further impacts on simulations in large scale carbon and water cycles.

摘要

研究未来大气二氧化碳条件下植物光合性能的昼夜和季节变化,对于理解植物对全球变化的适应性以及估算生态生理模型参数至关重要。在本研究中,在两年的整个生长季节里,于开放式气室中,在环境二氧化碳浓度(约450 μmol/mol)和升高的二氧化碳浓度(约650 μmol/mol)下,测量了两个水稻品种的净光合速率(A)、气孔导度(g)和PSII的光化学效率(F'/F ')的昼夜变化。结果表明,升高的二氧化碳浓度显著提高了净光合速率,尤其是在拔节期。这种促进作用随着生长季节的推进而适应,且不受气孔限制或Rubisco活性的影响。光合作用模型(V、J和R)以及两个气孔导度模型(m和g)中的模型参数在不同生长阶段有所变化,m和g也因二氧化碳处理和品种而异,当使用这些特定品种、特定二氧化碳浓度和特定阶段的参数时,能更准确地模拟光合作用和气孔导度。该研究结果表明,仍需进一步研究以探究在未来二氧化碳浓度升高条件下,导致光合能力适应的主导因素。该研究还强调了研究其他环境因素(如氮和氧)以及非环境因素(如更多水稻品种)对光合作用和气孔导度模型中这些参数变化的影响,以及它们对大规模碳和水循环模拟的进一步影响的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3544/8056013/d02956b810b9/fpls-12-651606-g001.jpg

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