Determination of rice (Oryza sativa L.) drought stress levels based on chlorophyll a fluorescence through independent component analysis.

IF 2.1 4区 生物学 Q2 PLANT SCIENCES
Photosynthetica Pub Date : 2025-03-27 eCollection Date: 2025-01-01 DOI:10.32615/ps.2025.009
Q Xia, H Tang, J L Tan, S I Allakhverdiev, Y Guo
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引用次数: 0

Abstract

Sensing rice drought stress is crucial for agriculture, and chlorophyll a fluorescence (ChlF) is often used. However, existing techniques usually rely on defined feature points on the OJIP induction curve, which ignores the rich physiological information in the entire curve. Independent Component Analysis (ICA) can effectively preserve independent features, making it suitable for capturing drought-induced physiological changes. This study applies ICA and Support Vector Machine (SVM) to classify drought levels using the entire OJIP curve. The results show that the 20-dimensional ChlF features obtained by ICA provide superior classification performance, with Accuracy, Precision, Recall, F1-score, and Kappa coefficient improving by 18.15%, 0.18, 0.17, 0.17, and 0.22, respectively, compared to the entire curve. This work provides a rice drought stress levels determination method and highlights the importance of applying dimension reduction methods for ChlF analysis. This work is expected to enhance stress detection using ChlF.

基于独立成分分析的叶绿素a荧光测定水稻干旱胁迫水平
水稻干旱胁迫的感知对农业至关重要,叶绿素a荧光(ChlF)是水稻干旱胁迫的常用检测手段。然而,现有的技术通常依赖于OJIP诱导曲线上定义的特征点,忽略了整个曲线中丰富的生理信息。独立成分分析(Independent Component Analysis, ICA)可以有效地保留独立特征,使其适用于捕捉干旱引起的生理变化。本研究采用ICA和支持向量机(SVM)对整个OJIP曲线进行干旱等级分类。结果表明,ICA获得的20维ChlF特征具有较好的分类性能,准确率、精密度、召回率、f1得分和Kappa系数分别比整条曲线提高18.15%、0.18、0.17、0.17和0.22。本研究提供了一种水稻干旱胁迫水平的测定方法,并强调了应用降维方法进行ChlF分析的重要性。这项工作有望提高利用ChlF进行应力检测的能力。
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来源期刊
Photosynthetica
Photosynthetica 生物-植物科学
CiteScore
5.60
自引率
7.40%
发文量
55
审稿时长
3.8 months
期刊介绍: Photosynthetica publishes original scientific papers and brief communications, reviews on specialized topics, book reviews and announcements and reports covering wide range of photosynthesis research or research including photosynthetic parameters of both experimental and theoretical nature and dealing with physiology, biophysics, biochemistry, molecular biology on one side and leaf optics, stress physiology and ecology of photosynthesis on the other side. The language of journal is English (British or American). Papers should not be published or under consideration for publication elsewhere.
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