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应用生态学报 ›› 2021, Vol. 32 ›› Issue (1): 175-181.doi: 10.13287/j.1001-9332.202101.009

• 研究论文 • 上一篇    下一篇

基于叶绿素荧光参数的小麦叶片叶绿素相对含量估算方法

杨程, 杜思梦, 张德奇, 李向东*, 时艳华, 邵运辉, 王汉芳, 方保停   

  1. 河南省农业科学院小麦研究所/小麦国家工程实验室/农业农村部黄淮中部小麦生物学与遗传育种重点实验室/农业农村部中原地区作物栽培科学观测实验站/河南省小麦生物学重点实验室, 郑州 450000
  • 收稿日期:2020-07-27 接受日期:2020-10-30 出版日期:2021-01-15 发布日期:2021-07-15
  • 通讯作者: * E-mail: hnlxd@126.com
  • 作者简介:杨 程, 男, 1987年生, 博士, 助理研究员。主要从事小麦逆境生理生态研究。E-mail: luckytiger.com@163.com
  • 基金资助:
    国家自然科学基金项目(31601242)、作物生物学国家重点实验室开放课题(2017KF02)、国家重点研发计划项目(2018YFD0300700)和河南省农业科学院科研发展专项(2103015)

Method for estimating relative chlorophyll content in wheat leaves based on chlorophyll fluorescence parameters

YANG Cheng, DU Si-meng, ZHANG De-qi, LI Xiang-dong*, SHI Yan-hua, SHAO Yun-hui, WANG Han-fang, FANG Bao-ting   

  1. Wheat Research Institute, Henan Academy of Agricultural Sciences/National Laboratory of Wheat Engineering/Key Laboratory of Wheat Bio-logy and Genetic Breeding in Central Huang-Huai Region, Ministry of Agriculture/Scientific Observing and Experimental Station of Crop Cultivation in Central Plains, Ministry of Agriculture/Henan Provincial Key Laboratory of Wheat Bio-logy, Zhengzhou 450000, China
  • Received:2020-07-27 Accepted:2020-10-30 Online:2021-01-15 Published:2021-07-15
  • Contact: * E-mail: hnlxd@126.com
  • Supported by:
    National Science Foundation of China (31601242), the State Key Laboratory of Crop Biology Open Project (2017KF02), the National Key R&D Program of China (2018YFD0300700) and the Special Research Development Project of Henan Academy of Agricultural Sciences (2103015).

摘要: 叶绿素含量是植物学和农业相关研究领域常用的生理指标。叶绿素含量和叶片光合功能密切相关,但是现有的叶绿素含量的测定方法无法实现叶绿素含量和光合功能的同步测定和关联分析。为解决该问题,本研究通过测定35个小麦品种旗叶的SPAD值和叶绿素荧光诱导动力学曲线,分别使用不同时间的快速叶绿素荧光动力学曲线的荧光值,以及33个常用荧光参数与对应叶片的SPAD值进行相关性分析,建立线性回归模型,并使用室内和大田两组数据对回归模型进行验证。结果表明: 通过叶绿素荧光参数RC/CSm建立的线性模型能够较好地预测叶片的SPAD值,可以用于非严重逆境胁迫下小麦叶片叶绿素相对含量的估算,从而丰富无损测定小麦叶绿素相对含量的方法,简化试验流程,实现小麦光合功能和叶绿素含量的同步测定与分析。

关键词: 叶绿素含量, 小麦, SPAD, 叶绿素荧光参数

Abstract: Chlorophyll content is a physiological index widely used in the research of botany and agriculture. It is closely associated with leaf photosynthetic function. The current methods cannot simultaneously determine chlorophyll content and photosynthetic function and analyze their correlation. To solve this problem, we measured the SPAD value and chlorophyll fluorescence induction kinetic curve with 35 wheat varieties. We established a linear regression model using the fluorescence values of the fast chlorophyll fluorescence kinetic curve at different times, 33 common fluorescence parameters, and the correlation between the parameters and the SPAD values. We further verified the model using laboratory and field data. Our results showed that the linear model based on chlorophyll fluorescence parameter RC/CSm could reliably predict the SPAD value of the leaves, which could be used to estimate the relative content of chlorophyll in wheat leaves under non-severe stress. The linear model enriched the method of nondestructive measurement of chlorophyll relative content in wheat, simplified the experimental flow, and achieved the simultaneous determination and analysis of wheat photosynthesis function and chlorophyll content.

Key words: chlorophyll content, wheat, SPAD, chlorophyll fluorescence