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ASSESSING CHILLING INJURY IN CUCUMBER SEEDLINGS USING CHLOROPHYLL FLUORESCENCE BASED ON A QUANTUM GENETIC ALGORITHM AND SUPPORT VECTOR REGRESSION MODEL

文献类型： 外文期刊

作者： Lu, Miao 1 ; Yuan, Kaikai 1 ; Li, Bin 1 ; Gao, Pan 1 ; Wu, Huarui 2 ; Hu, Jin 1 ;

作者机构： 1.Northwest A&F Univ, Coll Mech & Elect Engn, Yangling, Shaanxi, Peoples R China

2.Natl Engn Res Ctr Informat Technol Agr, Beijing, Peoples R China

3.Minist Agr & Rural Affairs, Key Lab Agr Internet Things, Yangling, Shaanxi, Peoples R China

4.Shaanxi Key Lab Agr Informat Percept & Intelligen, Yangling, Shaanxi, Peoples R China

关键词： Chlorophyll fluorescence parameters; Low temperature; Mutual information; Prediction

期刊名称：JOURNAL OF THE ASABE

ISSN： 2769-3295

年卷期： 2022 年 65 卷 2 期

页码：

收录情况： SCI

摘要： Low temperature limits photosynthesis and leads to reduced production in plants. Accurate monitoring of the physiological state of cucumber (Cucumis sativus L.) seedlings and assessing their chilling injury are of great importance for the off-season cucumber industry. Dark chlorophyll fluorescence parameters have been proven to be efficient for revealing environmental stress on plant growth. We used seedlings of cucumber cultivar Bonai 14-3 to test a nested set of fluorescence parameters to assess the response characteristics of dark chlorophyll fluorescence parameters during eight days at low temperatures. Mutual information analysis showed that the dark chlorophyll fluorescence parameter F-v/F-o, an indicator of the potential activity of photosystem II, gave the strongest correlation with stage of chilling injury. We compared three Fv/Fo prediction models with different inputs, constructed using a quantum genetic algorithm support vector regression method. The model showed the highest accuracy when the inputs were F-v and F-o measured before low-temperature treatment, coupled with temperature, and duration. The coefficient of determination of the training and testing sets were both greater than 0.98. The root mean square error and the mean absolute error were both less than 0.15. This model was able to achieve accurate prediction of F-v/F-o for seedlings in a low-temperature environment, providing a potential method for non-destructive analysis and diagnosis of cucumber chilling injury.

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