摘要
[目的]光合-CO_(2)响应(photosynthetic carbon assimilation CO_(2)response,A-C_(i))模型是定量研究植物光合特性对环境因子响应的主要手段,也是植物生理和生态学领域的重要研究工具。本文旨在探究合适的测试方法以及数学模型来更好地获取水稻光合参数。[方法]以水稻为试验材料,采用快速A-C_(i)响应(rapid A-C_(i)response,RACiR)曲线与传统的光合-CO_(2)响应曲线测试方法对水稻单叶光合参数进行测量。使用生化模型(FvCB)、直角双曲线模型、Michaelis-Menten模型、非直角双曲线模型、指数函数模型、分段函数模型、叶子飘模型以及指数修正模型对试验数据进行拟合。[结果]RACiR方法通过不同模型获得的参数与A-C_(i)方法测试得到的参数具有较好的一致性,且RACiR技术可节约近50%的测试时间。但也存在不能同步测量荧光数据以及难以实时查看测试数据是否存在异常等弊端。除FvCB外的7种光合-CO_(2)响应模型中,叶子飘模型整体上拟合出的光合特征参数较为可靠。[结论]RACiR测试方法具有较好的可靠性,且相对于传统方法其测试效率显著提高;叶子飘模型在水稻光合作用参数拟合上具有更优的性能。研究结果将为水稻光合作用-CO_(2)响应研究选用合适的测试方式和拟合模型等提供理论依据。
[Objectives]The models of photosynthetic carbon assimilation CO_(2)response(A-C_(i))can provide scientific approaches for quantifying photosynthetic characteristics of plants to major environmental factors,and are important tools in plant physiology and ecology studies.The objective of this study was to explore an optimal test method and mathematical model for obtaining rice photosynthetic parameters.[Methods]In this study,we used rapid A-C_(i)response(RACiR)curve technique and conventional A-C_(i)curve technique to measure single leaf photosynthesis in rice.The data of A-C_(i)was fitted by 8 different mathematical models:biochemical model(FvCB),rectangular hyperbola model,Michaelis-Menten model,non-rectangular hyperbola model,exponential function model,subsection function model,Ye Zipiao model and modified exponential model.[Results]The parameters obtained by RACiR technique through different models were consistent with those measured by conventional A-C_(i)technique,and RACiR technique could save nearly 50%of test time.However,RACiR also had some disadvantages.For example,it failed to measure fluorescence data synchronously and monitor abnormal test values in real time.After comparing 7 models(except for FvCB)of A-C_(i),the photosynthetic parameters fitted with Ye Zipiao model were more reliable.[Conclusions]The photosynthetic parameters obtained by RACiR technique had certain reliability,and RACiR technique was more efficient than the conventional A-C_(i)technique.Ye Zipiao model had better performance in estimating rice photosynthetic parameters.The results will provide theoretical basis for determining appropriate test methods of A-C_(i)response curve and fitting models in the study of rice leaf photosynthesis response to CO_(2).
作者
王雪
康敏
王偲媛
曹卫星
朱艳
刘兵
WANG Xue;KANG Min;WANG Siyuan;CAO Weixing;ZHU Yan;LIU Bing(National Engineering and Technology Center for Information Agriculture/Engineering Research Center of Smart Agriculture,Ministry of Education/Key Laboratory for Crop System Analysis and Decision Making,Ministry of Agriculture and Rural Affairs/Jiangsu Key Laboratory for Information Agriculture/Collaborative Innovation Center for Modern Crop Production Co-sponsored by Province and Ministry,Nanjing Agricultural University,Nanjing 210095,China)
出处
《南京农业大学学报》
CAS
CSCD
北大核心
2022年第6期1099-1106,共8页
Journal of Nanjing Agricultural University
基金
国家自然科学基金项目(32021004)。
