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Theoretical reconsiderations when estimating the mesophyll conductance to CO diffusion in leaves of C plants by analysis of combined gas exchange and chlorophyll fluorescence measurements

机译:通过结合气体交换和叶绿素荧光测量分析估算C植物叶片中叶肉对CO扩散的电导率的理论反思

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Existing methods to estimate the mesophyll conductance to CO diffusion (gm) are often based on combined gas exchange and chlorophyll fluorescence measurements. However, estimations of average gm by these methods are often unreliable either because the range of usable data is too narrow or because the estimations are very sensitive to measurement errors. We describe three method variants to estimate gm, for which a wider range of data are usable. They use curve-fitting techniques, which minimise the sum of squared model deviations from the data for A (CO assimilation rate) or for J (linear electron transport rate). Like the existing approaches, they are all based on common physiological principles assuming that electron transport limits A. The proposed variants were far less sensitive than the existing approaches to 'measurement noise' either created randomly in the generated data set or inevitably existing in real data sets. Yet, the estimates of gm from the three variants differed by approximately 15%. Moreover, for each variant, a stoichiometric uncertainty in linear electron transport-limited photosynthesis can cause another 15% difference. Any estimation of gm using gas exchange and chlorophyll fluorescence measurements should be considered with caution, especially when gm is high.
机译:估计叶肉对CO扩散(gm)的电导率的现有方法通常基于组合的气体交换和叶绿素荧光测量。但是,由于这些可用数据的范围太窄,或者由于这些估计对测量误差非常敏感,因此使用这些方法进行的平均gm估计通常不可靠。我们描述了三种估计gm的方法变体,它们适用于更广泛的数据范围。他们使用曲线拟合技术,可将与A(CO同化率)或J(线性电子传输率)数据的模型偏差平方和最小化。像现有方法一样,它们都基于共同的生理原理,并假设电子传输限制为A。建议的变体远不如在生成的数据集中随机创建或不可避免地存在于实际数据中的现有“测量噪声”方法敏感。套。但是,三种变体的gm估算值相差约15%。此外,对于每个变体,线性电子传输受限的光合作用的化学计量不确定性可能导致另外15%的差异。使用气体交换和叶绿素荧光测量对gm进行的任何估算都应谨慎考虑,尤其是当gm高时。

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