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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Main Authors: Yangjie Guo, Yuping Lv
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
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Online Access:https://www.mdpi.com/2073-4395/15/1/125
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author Yangjie Guo
Yuping Lv
author_facet Yangjie Guo
Yuping Lv
author_sort Yangjie Guo
collection DOAJ
description 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.
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spelling doaj-art-20703181696a440c8d25704a0fc939fc2025-01-24T13:16:49ZengMDPI AGAgronomy2073-43952025-01-0115112510.3390/agronomy15010125Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy PositionsYangjie Guo0Yuping Lv1College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, ChinaCollege of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, ChinaThe 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.https://www.mdpi.com/2073-4395/15/1/125model comparisonleaf positionmaximum net photosynthetic rateapparent quantum efficiencydark respiration ratelight compensation point
spellingShingle Yangjie Guo
Yuping Lv
Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions
Agronomy
model comparison
leaf position
maximum net photosynthetic rate
apparent quantum efficiency
dark respiration rate
light compensation point
title Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions
title_full Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions
title_fullStr Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions
title_full_unstemmed Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions
title_short Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions
title_sort evaluation of models for describing photosynthetic light response curves and estimating parameters in rice leaves at various canopy positions
topic model comparison
leaf position
maximum net photosynthetic rate
apparent quantum efficiency
dark respiration rate
light compensation point
url https://www.mdpi.com/2073-4395/15/1/125
work_keys_str_mv AT yangjieguo evaluationofmodelsfordescribingphotosyntheticlightresponsecurvesandestimatingparametersinriceleavesatvariouscanopypositions
AT yupinglv evaluationofmodelsfordescribingphotosyntheticlightresponsecurvesandestimatingparametersinriceleavesatvariouscanopypositions