A new predictive model for Plants Photosynthesis Influenced by Major Climatic Conditions

Liu, ZS; Yang, Wei; Yu, XL

doi:10.1088/1755-1315/291/1/012016

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…CO2-response process and parameters have been fitted using biochemical models (Farquhar et al 1980), empirical models (Wang et al 2012, von Caemmerer 2013, and optimized models (Ali et al 2016, Liu et al 2019b based on biochemical models. Biochemical models can calculate two key parameters, the maximum rate of carboxylation (Vcmax) and the maximum electron transport rate (Jmax) (King et al 2012, Walker et al 2017.…”

Section: Introductionmentioning

confidence: 99%

Photosynthetic CO<sub>2</sub> response to soil water and its simulation using different models in leaves of two species

Wu¹,

Zhang²,

Li³

et al. 2020

Photosynt.

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CO2 concentrations and soil moisture conditions are important factors in photosynthesis of trees. This study investigated the photosynthetic CO2 responses in the leaves of Prunus sibirica L. and Pinus tabulaeformis Carr. under eight soil water conditions in a semiarid loess hilly region. CO2-response curves and physiological parameters were fitted using a rectangular hyperbola model, nonrectangular hyperbola model, exponential equation, and modified rectangular hyperbola model. Results revealed the relative soil water content (RWCs) for P. sibirica required to maintain higher photosynthetic rate ranging from 46.5 to 81.6%, and that for P. tabulaeformis ranging from 35.4 to 84.5%. When RWCs exceeded these ranges, the net photosynthetic rate of both species decreased. CO2-response curves and three parameters, carboxylation efficiency, CO2-compensation point, and photorespiration rate, were well fitted by the four models when RWCs was appropriate for P. sibirica and P. tabulaeformis. When RWCs exceeded the optimal ranges, only the modified rectangular hyperbola model could precisely simulate the CO2-response curves and photosynthetic parameters of both species.

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Section: Introductionmentioning

confidence: 99%

Photosynthetic CO<sub>2</sub> response to soil water and its simulation using different models in leaves of two species

Wu¹,

Zhang²,

Li³

et al. 2020

Photosynt.

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show abstract

“…CO 2 response curves reflect the quantitative relationship between plant net photosynthetic rate (P n ) and CO 2 concentration and can be used to estimate photosynthetic parameters, including the CO 2 saturation point (CSP), photosynthetic capacity (P nmax ), compensation point (Γ), carboxylation efficiency (CE), and photorespiration rate (R p ) [21,22]. CO 2 responses have been fitted using biochemical models [23], empirical models [24,25], and optimized models [26,27], which are based on biochemical models. Biochemical models calculate two key model parameters, the maximum rate of carboxylation (V cmax ) and the maximum electron transport rate (J max ) [28,29].…”

Section: Introductionmentioning

confidence: 99%

Experimental and simulated CO₂ responses of photosynthesis in leaves of Hippophae rhamnoides L. under different soil water conditions

Wu¹,

C²,

Chen³

2019

Preprint

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CO 2 concentrations and soil moisture conditions seriously affect tree growth and physiological mechanisms. CO 2 responses of photosynthesis are an important part of plant physiology and ecology research. This study investigated the photosynthetic CO 2 responses in the leaves of two-year-old Hippophae rhamnoides L. under eight soil water conditions in a semi-arid loess hilly region, and discussed the quantitative relationship between CO 2 responses and soil moisture. CO 2 response curves and parameters were fitted using a rectangular hyperbola model, non-rectangular hyperbola model, exponential equation, and modified rectangular hyperbola model. Results revealed that the relative soil water content (RWC) required to maintain a high photosynthetic rate (P n ) and carboxylation efficiency (CE) ranged from 42.8% to 83.2%. When RWC fell outside these ranges, the photosynthetic capacity (P nmax ), CE, and CO 2 saturation point (CSP) decreased. CO 2 response curves and three parameters, CE, CO 2 compensation point (Γ), and photorespiration rate (R p ), were well fitted by the four models when RWC was appropriate. When RWC exceeded the optimal range, only the modified rectangular hyperbola model fitted the CO 2 response curves and photosynthetic parameters better.

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A new predictive model for Plants Photosynthesis Influenced by Major Climatic Conditions

Cited by 2 publications

References 8 publications

Photosynthetic CO<sub>2</sub> response to soil water and its simulation using different models in leaves of two species

Photosynthetic CO<sub>2</sub> response to soil water and its simulation using different models in leaves of two species

Experimental and simulated CO₂ responses of photosynthesis in leaves of Hippophae rhamnoides L. under different soil water conditions

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A new predictive model for Plants Photosynthesis Influenced by Major Climatic Conditions

Cited by 2 publications

References 8 publications

Photosynthetic CO<sub>2</sub> response to soil water and its simulation using different models in leaves of two species

Photosynthetic CO<sub>2</sub> response to soil water and its simulation using different models in leaves of two species

Experimental and simulated CO2 responses of photosynthesis in leaves of Hippophae rhamnoides L. under different soil water conditions

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Product

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Experimental and simulated CO₂ responses of photosynthesis in leaves of Hippophae rhamnoides L. under different soil water conditions