Dynamic changes and spectrometric quantitative analysis of antioxidant enzyme activity of TYLCV-infected tomato plants

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-05-01 Epub Date: 2025-02-13 DOI:10.1016/j.compag.2025.110109
Jiheng Ni, Yawen Xue, Jialin Liao
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Abstract

To investigate the dynamic changes in superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) activities in Tomato yellow leaf curl virus (TYLCV)-infected tomato leaves is essential for monitoring tomato growth, selecting disease-resistant varieties and disease control. Utilizing hyperspectral technique offers a rapid and non-destructive method to estimate antioxidant enzyme activity in tomato leaves. This study focuses on one a TYLCV-susceptible tomato variety (Hezuo 908) and two TYLCV-resistant varieties (Dingyanfen No. 3 and No. 5) to analyze the changes in photosynthetic characteristics and antioxidant enzyme activity following TYLCV infection. Hyperspectral data were used to quantify the correlation between antioxidant enzyme activity and spectral features under different pretreatments, as well as the relationship between enzyme activity and classical spectral indices. Several optimized indices were developed by iterating on the condition of R, forming a combined index. Considering efficiency and complexity, the support vector machine regression algorithm was employed to evaluate the predictive performance of the models. The results showed a decline in photosynthetic rate and relative chlorophyll content, while stomatal conductance initially decreased and then increased. The activities of the three antioxidant enzymes increased. activities of the three antioxidant enzymes post-TYLCV infection, with POD activity correlating with tomato variety resistance—a potential auxiliary index for antiviral variety identification. Among the models, the CAT prediction model performed the best, with a test set determination coefficient (R2) of 0.82, followed by POD with an R2 of 0.67, and SOD R2 of 0.43. These findings demonstrate that spectra enable rapid and non-destructive estimation of antioxidant enzyme activity in tomatoes under viral stress. This study provides valuable insights for antiviral variety breeding and the early warning of viral diseases.

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tylcv侵染番茄植株抗氧化酶活性动态变化及光谱定量分析
研究番茄黄卷叶病毒(TYLCV)侵染番茄叶片超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性的动态变化,对番茄生长监测、抗病品种选择和病害防治具有重要意义。利用高光谱技术可以快速、无损地测定番茄叶片中抗氧化酶的活性。本研究以1个对TYLCV敏感的番茄品种(合作908)和2个抗TYLCV的番茄品种(定盐粉3号和5号)为研究对象,分析了TYLCV侵染后番茄光合特性和抗氧化酶活性的变化。利用高光谱数据量化不同预处理条件下抗氧化酶活性与光谱特征的相关性,以及抗氧化酶活性与经典光谱指标的关系。在R条件下,通过迭代得到多个优化指标,形成一个组合指标。考虑到效率和复杂性,采用支持向量机回归算法对模型的预测性能进行评价。结果表明:光合速率和相对叶绿素含量下降,气孔导度先降低后升高;三种抗氧化酶活性均升高。研究了三种抗氧化酶在tylcv感染后的活性变化,并分析了POD活性与番茄品种抗性的相关性,这是抗病品种鉴定的潜在辅助指标。其中CAT预测模型效果最好,其检验集决定系数(R2)为0.82,POD次之,R2为0.67,SOD R2为0.43。这些发现表明,光谱可以快速、无损地估计病毒胁迫下番茄抗氧化酶的活性。该研究为抗病毒药品种的选育和病毒性疾病的早期预警提供了有价值的见解。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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