Yang Cheng, DU Si-Meng, Zhang De-Qi, Li Xiang-Dong, Shi Yan-Hua, Shao Yun-Hui, Wang Han-Fang, Fang Bao-Ting
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.
Ying Yong Sheng Tai Xue Bao. 2021 Jan;32(1):175-181. doi: 10.13287/j.1001-9332.202101.009.
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 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.
叶绿素含量是植物学和农业研究中广泛使用的生理指标。它与叶片光合功能密切相关。目前的方法无法同时测定叶绿素含量和光合功能并分析它们之间的相关性。为了解决这个问题，我们测量了35个小麦品种的SPAD值和叶绿素荧光诱导动力学曲线。我们利用不同时刻快速叶绿素荧光动力学曲线的荧光值、33个常用荧光参数以及这些参数与SPAD值之间的相关性建立了线性回归模型。我们进一步利用实验室和田间数据对该模型进行了验证。我们的结果表明，基于叶绿素荧光参数的线性模型能够可靠地预测叶片的SPAD值，可用于估算非严重胁迫下小麦叶片叶绿素的相对含量。该线性模型丰富了小麦叶绿素相对含量的无损测量方法，简化了实验流程，实现了对小麦光合功能和叶绿素含量的同时测定与分析。
