文献类型：期刊文献

英文题名：Can SIF and NPQ be used in the photosynthesis rate simulation of plants subjected to drought?

作者：Shi, Shaomin[1] Cong, Weiwei[2] Lu, Sen[1] Zhao, Tianhong[2] Wang, Feng[3,4] Lu, Qi[3,4]

第一作者：Shi, Shaomin

通信作者：Cong, WW[1];Wang, F[2]|[a00054be799ae7c19ca81]王锋;

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, State Forestry Adm, Beijing 100091, Peoples R China;[2]Shenyang Agr Univ, Coll Agron, Shenyang 110161, Peoples R China;[3]Chinese Acad Forestry, Inst Ecol Conservat & Restorat, Beijing 100091, Peoples R China;[4]Chinese Acad Forestry, Inst Desertificat Studies, Beijing 100091, Peoples R China

年份：2022

卷号：203

外文期刊名：ENVIRONMENTAL AND EXPERIMENTAL BOTANY

收录：;EI(收录号：20220312352);Scopus(收录号：2-s2.0-85137382651);WOS:【SCI-EXPANDED(收录号:WOS:000882847100005)】；

基金：This work was supported by the fund for the National Natural Science Foundation of China (grants 32001371, 32171875 and 41877019), Scientific research fund project of Liaoning Provincial Department of Education (grants LSNJC202018) and Chinese Academy of Forestry Science Funds for Distinguished Young Scholar (grants CAFYBB2017QC007).

语种：英文

外文关键词：Solar induced chlorophyll fluorescence (SIF); Non-photochemical quenching (NPQ); Net photosynthesis rate; MLR-SIF model; Drought stress; Rehydration

摘要：Solar-induced chlorophyll fluorescence (SIF) is a rapidly developed remote sensing technology and has been used to estimate leaf-level net CO2 assimilation by a mechanistic light reaction (MLR-SIF) equation. However, the application of this model would be limited by the challenging measurement and estimation of input parameters (e.g., fraction of open PSII reaction centres, q(L)). We modified the MLR-SIF model by replacing q(L) by the easily obtained parameters (non-photochemical quenching [NPQ]) to facilitate its application. We employed synchronous measurements of gas exchanges, ChlF parameters and SIF for Leymus chinensis, Populus tomentosa Carrieres and Ulmus pumila var. sabulosa under the soil-water deficit and rehydration process to test the robustness of the modified MLR-SIF model. Our results demonstrated that for L. chinensis the net photosynthesis rate dynamics under severe drought stress and saturated water condition were effectively captured by the modified MLR-SIF model (R-2 = 0.75-0.92, RMSE = 1.11-3.56). For P. tomentosa Carrieres and U. pumila var. sabulosa, the net photosynthesis rates were predicted by the modified MLR-SIF model with good accuracy (R-2 = 0.86, RMSE = 9.44; R-2 = 0.88, RMSE = 4.16) across the water deficit and rehydration condition. However, the electron transport rate estimated by the modified MLR-SIF model uncoupled with the photosynthetic capacity (r(2) = 0.13) and lowered the net photosynthesis rate simulation precision (R-2 = 0.35, RMSE = 3.41) for L. chinensis under mild drought stress and saturated light intensities. The electron transport rate estimated by the modified MLR-SIF model downregulated the photosynthetic capacity for P. tomentosa Carrieres (r(2) = 0.32) and U. pumila var. sabulosa (r(2) = 0.22) under mild drought stress. The shift of the Rubisco and RUBP limited state cross-points, the dynamic photosynthesis parameters across the plant species and the alternative electron sinks under soil-water deficit and rehydration process influenced the simulation precision of the modified MLR-SIF model. Our modified MLR-SIF model provided a basis for understanding and inferring the photosynthetic rate by SIF and NPQ under drought stress.