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Simulation of Stomatal Conductance and Water Use Efficiency of Tomato Leaves Exposed to Different Irrigation Regimes and Air CO2 Concentrations by a Modified Ball-Berry Model

机译:用改进的 Ball-Berry模型模拟番茄在不同灌溉方式和空气CO2浓度下的气孔导度和水分利用效率

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摘要

Stomatal conductance (gs) and water use efficiency (WUE) of tomato leaves exposed to different irrigation regimes and at ambient CO2 (a[CO2], 400 ppm) and elevated CO2 (e[CO2], 800 ppm) environments were simulated using the “Ball-Berry” model (BB-model). Data obtained from a preliminary experiment (Exp. I) was used for model parameterization, where measurements of leaf gas exchange of potted tomatoes were done during progressive soil drying for 5 days. The measured photosynthetic rate (Pn) was used as an input for the model. Considering the effect of soil water deficits on gs, an equation modifying the slope (m) based on the mean soil water potential (Ψs) in the whole root zone was introduced. Compared to the original BB-model, the modified model showed greater predictability for both gs and WUE of tomato leaves at each [CO2] growth environment. The models were further validated with data obtained from an independent experiment (Exp. II) where plants were subjected to three irrigation regimes: full irrigation (FI), deficit irrigation (DI), and alternative partial root-zone irrigation (PRI) for 40 days at both a[CO2] and e[CO2] environment. The simulation results indicated that gs was independently acclimated to e[CO2] from Pn. The modified BB-model performed better in estimating gs and WUE, especially for PRI strategy at both [CO2] environments. A greater WUE could be seen in plants grown under e[CO2] associated with PRI regime. Conclusively, the modified BB-model was capable of predicting gs and WUE of tomato leaves in various irrigation regimes at both a[CO2] and e[CO2] environments. This study could provide valuable information for better predicting plant WUE adapted to the future water-limited and CO2 enriched environment.
机译:番茄叶片的气孔导度(gs)和水分利用效率(WUE)暴露于不同灌溉制度下,并在环境CO2(a [CO2],400 ppm)和升高的CO2(e [CO2],800 ppm)环境下使用“ Ball-Berry”模型(BB模型)。从初步实验(实验I)获得的数据用于模型参数化,其中在逐步进行的土壤干燥5天期间测量了盆栽西红柿的叶片气体交换量。测得的光合速率(Pn)用作模型的输入。考虑到土壤水分亏缺对gs的影响,提出了基于整个根区平均土壤水势(potentials)修改坡度(m)的方程。与原始的BB模型相比,修改后的模型在每种[CO2]生长环境下均显示出番茄叶片gs和WUE的更大可预测性。通过独立实验(实验II)获得的数据进一步验证了模型,在该实验中,植物经历了三种灌溉方式:完全灌溉(FI),亏缺灌溉(DI)和替代性局部根区灌溉(PRI)40 a [CO2]和e [CO2]环境下的工作日数。模拟结果表明,gs独立地适应于Pn中的e [CO2]。改进的BB模型在估计gs和WUE方面表现更好,尤其是在两个[CO 2 ]环境下的PRI策略。在与PRI制度相关的 e [CO 2 ]下生长的植物中可以看到更大的 WUE 。结论是,修改后的BB模型能够在 a 的不同灌溉条件下预测番茄叶片的 g s WUE / em> [CO 2 ]和 e [CO 2 ]环境。该研究可为更好地预测植物 WUE 适应未来水分受限和CO 2 富集环境提供有价值的信息。

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