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  4. Limitations of the Farquhar–von Caemmerer–Berry Model in Estimating the Maximum Electron Transport Rate: Evidence from Four C3 Species
 
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Limitations of the Farquhar–von Caemmerer–Berry Model in Estimating the Maximum Electron Transport Rate: Evidence from Four C3 Species

Type
Journal article
Language
English
Date issued
2025
Author
Ye, Zipiao
Hu, Wenhai
Zhou, Shuangxi
Robakowski, Piotr 
Kang, Huajing
An, Ting
Wang, Fubiao
Xiao, Yi’an
Yang, Xiaolong
Faculty
Wydział Leśny i Technologii Drewna
PBN discipline
forestry
Journal
Biology
ISSN
2079-7737
DOI
10.3390/biology14060630
Web address
https://www.mdpi.com/2079-7737/14/6/630
Volume
14
Number
6
Pages from-to
art. 630
Abstract (EN)
The study evaluates the accuracy of two FvCB model sub-models (I and II) in estimating the maximum electron transport rate for CO2 assimilation (JA-max) by comparing estimated values with observed maximum electron transport rates (Jf-max) in four C3 species: Triticum aestivum L., Silphium perfoliatum L., Lolium perenne L., and Trifolium pratense L. Significant discrepancies were found between JA-max estimates from sub-model I and observed Jf-max values for T. aestivum, S. perfoliatum, and T. pratense (p < 0.05), with sub-model I overestimating JA-max for T. aestivum. Sub-model II consistently produced higher JA-max estimates than sub-model I. This study highlights limitations in the FvCB sub-models, particularly their tendency to overestimate JA-max when accounting for electron consumption by photorespiration (JO), nitrate reduction (JNit), and the Mehler reaction (JMAP). An alternative empirical model provided more accurate Jf-max estimates, suggesting the need for improved approaches to model photosynthetic electron transport. These findings have important implications for crop yield prediction, ecological modeling, and climate change adaptation strategies, emphasizing the need for more accurate estimation methods in plant physiology research.
Keywords (EN)
  • Farquhar–von Caemmerer–Berry (Fv...

  • maximum electron transport rate ...

  • CO2 response

  • observation-modelling intercompa...

License
cc-bycc-by CC-BY - Attribution
Open access date
May 29, 2025
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