Effects of photosynthetic models on the calculation results of photosynthetic response parameters in <i>Sapindus mukorossi</i> leaves

Zhang Yunqi; Gao Shilun; Wei Xingbiao; Shi Wenhui; Ma Zhong; Su Shuchai

doi:10.13332/j.1000-1522.20180163

Journal of Beijing Forestry University > 2019 > 41(4): 32-40. > DOI: 10.13332/j.1000-1522.20180163

Zhang Yunqi, Gao Shilun, Wei Xingbiao, Shi Wenhui, Ma Zhong, Su Shuchai. Effects of photosynthetic models on the calculation results of photosynthetic response parameters in Sapindus mukorossi leaves[J]. Journal of Beijing Forestry University, 2019, 41(4): 32-40. DOI: 10.13332/j.1000-1522.20180163

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Effects of photosynthetic models on the calculation results of photosynthetic response parameters in Sapindus mukorossi leaves

Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China

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Received Date: May 16, 2018
Revised Date: November 27, 2018
Available Online: April 29, 2019
Published Date: March 31, 2019

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Abstract

Abstract

ObjectiveThe aim of this study was to explore the effects of photosynthetic models on the results of photosynthetic response parameters ’ values of leaves in different parts of Sapindus mukorossi canopy, and to obtain appropriate application model and reasonable values.
MethodIn this study, S. mukorossi trees with stable fruiting stage were selected as the test trees in Jianning County of Fujian Province, southern China for determining photosynthetic response parameters of leaves in different parts of canopy. The rectangular hyperbolic model (RHM), non-rectangular hyperbolic model (NRHM), modified rectangular hyperbolic model (MRHM), and modified exponential model (MEM) were used for fitting the P_n-PAR response curves. The rectangular hyperbolic model (RHM), Michaelis-Menten model (MMM), and modified rectangular hyperbolic model (MRHM) were used for fitting the P_n-C_i response curves. The fitting accuracy of the models was tested by comparing mean square errors and determinant coefficients. The differences of photosynthetic response parameters ’ values among different models and different parts of canopy were examined by Duncan multiple comparison method and the data were also analyzed with ANOVA.
Result(1) The fitting accuracy of the 4 models for P_n-PAR response curve was as follows: MRHM > MEM > NRHM > RHM. The 3 models for P_n-C_i response curve produced the similar results: MRHM > RHM/MMM. (2) The significant difference of photosynthetic response parameters’ values among different layers varied by different models and the difference of these values among different directions was not significant. (3) The influence of different models on α_(I), P_nmax(I), LSP, R_d, P_nmax(C) and C_iSP was greater, the influence of different layers on LCP, α_(C), C_iCP and R_p was greater, while the influence of different directions on these all response parameters was little. The values of LSP, C_iSP, α_(C) and C_iCP were also significantly influenced by interaction.
ConclusionCompared with other models, MRHM could be better for fitting the photosynthetic response curve and obtaining more accurate values. The influence of models on the values of all photosynthetic response parameters was very significant, so the screening of models was important.
- canopy photosynthesis of Sapindus mukorossi,
- P_n-PAR response curve,
- CO₂ response curve,
- model fitting

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References

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Effects of photosynthetic models on the calculation results of photosynthetic response parameters in Sapindus mukorossi leaves

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