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<p>Currently, there is still a lack of systematic comparison between the light-saturated maximum electron transport rate (<i>J</i><sub>max</sub>) predicted by the Farquhar-von Caemmerer-Berry (FvCB) model and the empirically observed whole-chain electron transport rate (<i>J</i><sub>f−max</sub>) measured directly through experiments, which is essential for validating the reliability and predictive capability of the photosynthesis model. This study presents a comparative evaluation of the FvCB model’s ability to estimate the <i>J</i><sub>max</sub> in four C<sub>3</sub> species: <i>Ipomoea batatas</i>, <i>Pachyrhizus erosus</i>, <i>Capsicum annuum</i>, and <i>Abelmoschus esculentus</i>. By integrating gas exchange measurements and chlorophyll fluorescence data, we analyzed <i>A</i><sub>n</sub>–<i>C</i><sub>i</sub> curves under saturating irradiance to derive <i>J</i><sub>max</sub> values using two FvCB sub-models (I and II) and compared these estimates with <i>J</i><sub>f−max</sub>. Results revealed significant discrepancies: Sub-model II consistently overestimated <i>J</i><sub>max</sub> relative to <i>J</i><sub>f−max</sub> in three species (<i>I. batatas</i>, <i>P. erosus</i>, and <i>C. annuum</i>), while Sub-model I showed no statistical deviation. Notably, <i>A. esculentus</i> exhibited anomalous overestimations by both sub-models, with <i>J</i><sub>max</sub> exceeding <i>J</i><sub>f−max</sub>—a contradiction of theoretical stoichiometry. These findings highlight limitations in the universal applicability of FvCB sub-models, particularly regarding assumptions of electron partitioning among assimilatory and non-assimilatory pathways. However, the empirical model developed by Ye et al. could accurately and reliably estimate <i>J</i><sub>f−max</sub> values for all four C<sub>3</sub> species. The study underscores the need for model refinements to better account for species-specific electron transport dynamics and environmental interactions, advancing the accuracy of photosynthetic predictions in ecological and agricultural contexts.</p>

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Integrated modeling and observational analysis of light-saturated electron transport rates in four C3 species

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月9日

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  • Zipiao Ye,
  • Yi’an Xiao,
  • Huajing Kang,
  • Xiaolong Yang,
  • Ting An,
  • Fubiao Wang,
  • Wenhai Hu

摘要

Currently, there is still a lack of systematic comparison between the light-saturated maximum electron transport rate (Jmax) predicted by the Farquhar-von Caemmerer-Berry (FvCB) model and the empirically observed whole-chain electron transport rate (Jf−max) measured directly through experiments, which is essential for validating the reliability and predictive capability of the photosynthesis model. This study presents a comparative evaluation of the FvCB model’s ability to estimate the Jmax in four C3 species: Ipomoea batatas, Pachyrhizus erosus, Capsicum annuum, and Abelmoschus esculentus. By integrating gas exchange measurements and chlorophyll fluorescence data, we analyzed An–Ci curves under saturating irradiance to derive Jmax values using two FvCB sub-models (I and II) and compared these estimates with Jf−max. Results revealed significant discrepancies: Sub-model II consistently overestimated Jmax relative to Jf−max in three species (I. batatas, P. erosus, and C. annuum), while Sub-model I showed no statistical deviation. Notably, A. esculentus exhibited anomalous overestimations by both sub-models, with Jmax exceeding Jf−max—a contradiction of theoretical stoichiometry. These findings highlight limitations in the universal applicability of FvCB sub-models, particularly regarding assumptions of electron partitioning among assimilatory and non-assimilatory pathways. However, the empirical model developed by Ye et al. could accurately and reliably estimate Jf−max values for all four C3 species. The study underscores the need for model refinements to better account for species-specific electron transport dynamics and environmental interactions, advancing the accuracy of photosynthetic predictions in ecological and agricultural contexts.