Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions

Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions

The photosynthetic light–response (<i>P</i><sub>n</sub>/<i>I</i>) curve is a crucial tool for accurately estimating photosynthetic parameters. However, selecting the most suitable model from numerous available light–response models is still difficult because of th...

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Bibliographic Details
Main Authors: Yangjie Guo, Yuping Lv
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
model comparison
leaf position
maximum net photosynthetic rate
apparent quantum efficiency
dark respiration rate
light compensation point
Online Access:https://www.mdpi.com/2073-4395/15/1/125
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Summary:The photosynthetic light–response (<i>P</i><sub>n</sub>/<i>I</i>) curve is a crucial tool for accurately estimating photosynthetic parameters. However, selecting the most suitable model from numerous available light–response models is still difficult because of the complex canopy structure. This study aimed to evaluate the performance of different models, including the rectangular hyperbolic model (RHM), non-rectangular hyperbolic model (NRHM), exponential model (EM), and modified rectangular hyperbolic model (MRHM), in modeling <i>P</i><sub>n</sub>/<i>I</i> curves and estimating photosynthetic parameters for rice leaves at various canopy positions. The results showed that the NRHM demonstrated the highest accuracy, and the EM was identified as the most ideal in estimating <i>P</i><sub>n</sub>. The RHM consistently overestimated the maximum net photosynthetic rate (<i>P</i><sub>nmax</sub>), apparent quantum efficiency (<i>α</i>), dark respiration rate (<i>R</i><sub>d</sub>), and light compensation point (<i>LCP</i>) while underestimating light saturation point (<i>LSP</i>) for all rice leaves. The NRHM overestimated <i>P</i><sub>nmax</sub>, underestimated <i>LSP,</i> and accurately estimated <i>LCP</i> for all leaves, and overestimated <i>α</i> and <i>R</i><sub>d</sub> for top leaves but performed well for lower leaves. The EM excelled in estimating <i>P</i><sub>nmax</sub> and <i>LSP</i> for all leaves and performed well in estimating <i>α</i> for the top third and fourth leaves, <i>R</i><sub>d</sub> for the top four leaves, and <i>LCP</i> for the top six leaves. The MRHM was effective in estimating <i>P</i><sub>nmax</sub> but consistently overestimated <i>α</i>, <i>R</i><sub>d</sub>, and <i>LSP</i> for all leaves.
ISSN:2073-4395

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