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首页> 外文期刊>Functional Plant Biology >Modelling photosynthesis in flag leaves of winter wheat (Triticum aestivum) considering the variation in photosynthesis parameters during development
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Modelling photosynthesis in flag leaves of winter wheat (Triticum aestivum) considering the variation in photosynthesis parameters during development

机译：考虑发育过程中光合作用参数变化的冬小麦旗叶光合作用建模

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The Farquhar-von Caemmerer-Berry (FvCB) model of photosynthesis has been widely used to estimate the photosynthetic C flux of plants under different growth conditions. However, the seasonal fluctuation of some photosynthesis parameters (e. g. the maximum carboxylation rate of Rubisco (V-cmax), the maximum electron transport rate (J(max)) and internal mesophyll conductance to CO2 transport (gm)) is not considered in the FvCB model. In this study, we investigated the patterns of the FvCB parameters during flag leaf development based on measured photosynthesis-intercellular CO2 curves in two cultivars of winter wheat (Triticum aestivum L.). Parameterised seasonal patterns of photosynthesis parameters in the FvCB model have subsequently been applied in order to predict the photosynthesis of flag leaves. The results indicate that the Gaussian curve characterises the dynamic patterns of V-cmax, J(max) and g(m) well. Compared with the model with fixed photosynthesis parameter values, updating the FvCB model by considering seasonal changes in V-cmax and J(max) during flag leaf development slightly improved predictions of photosynthesis. However, if the updated FvCB model incorporated the seasonal patterns of V-cmax and J(max), and also of g(m), predictions of photosynthesis was improved a lot, matching well with the measurements (R-2 = 0.87, P < 0.0001). This suggests that the dynamics of photosynthesis parameters, particularly g(m), play an important role in estimating the photosynthesis rate of winter wheat.
机译：Farquhar-von Caemmerer-Berry（FvCB）光合作用模型已被广泛用于估算不同生长条件下植物的光合作用C通量。但是，一些光合作用参数的季节性波动（例如Rubisco的最大羧化速率（V-cmax），最大电子传输速率（J（max））和内部叶肉对CO2传输的电导率（gm））并未考虑。 FvCB模型。在这项研究中，我们基于两个冬小麦品种（Triticum aestivum L.）的光合作用-细胞间CO2曲线，研究了旗叶发育过程中FvCB参数的模式。为了预测旗叶的光合作用，随后在FvCB模型中应用了参数化的光合作用季节模式。结果表明，高斯曲线很好地表征了V-cmax，J（max）和g（m）的动态模式。与具有固定光合作用参数值的模型相比，通过考虑旗叶发育期间V-cmax和J（max）的季节性变化来更新FvCB模型，可以稍微改善光合作用的预测。但是，如果更新的FvCB模型结合了V-cmax和J（max）以及g（m）的季节性模式，则光合作用的预测将大大改善，与测量值匹配得很好（R-2 = 0.87，P <0.0001）。这表明光合作用参数，特别是g（m）的动态，在估计冬小麦的光合作用率中起着重要作用。

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