Unverified paper record
Modeling and temporal analysis of electrical impedance spectroscopy responses of Rosa chinensis under powdery mildew stress
Computers and Electronics in Agriculture. · 1 Dec 2025
Abstract
Under the intensifying impact of global climate change, the frequency of plant disease outbreaks is steadily increasing, posing significant challenges to healthy cultivation and precision management. To enable early diagnosis of plant disease stress, this study used two rose (Rosa chinensis) varieties, ’Red Cap’ and ’Carefree Wonder’ were used to conduct powdery mildew stress experiment. Throughout the stress period, leaf electrical impedance spectroscopy (EIS), physiological parameters, and ultrastructural observations, were collected. A novel lumped equivalent circuit model was proposed, incorporating plant cell electrophysiological properties. The model developed for both rose varieties-featuring Constant Phase Elements (CPE) and Warburg elements (W), successfully characterized the resistive properties of the leaf tissue, including the extracellular resistance (R₁), cell membrane resistance (R₂), intracellular resistance (R₃), and vacuole interior resistance (R₄). Model parameters R₁ and R₃ were significantly correlated with the above physiological indicators, and showed significant differences 3 to 11 days earlier than traditional physiological parameters, demonstrating strong potential for early detection of cellular damage. Overall, this study demonstrates that EIS technology can dynamically reflect electrical property changes in plant tissues under biotic stress, effectively overcoming the lag limitations of conventional physiological measurements, providing a promising tool for early disease diagnosis and resistance screening.
Plant phenotyping relevance
バラ葉の病害ストレス状態を電気インピーダンス分光法で測定し、等価回路モデルを開発・検証して早期診断性能を評価しているため、植物フェノタイピング手法が中心である。
abstractA novel lumped equivalent circuit model was proposed, incorporating plant cell electrophysiological properties.
abstractdemonstrating strong potential for early detection of cellular damage.
abstractOverall, this study demonstrates that EIS technology can dynamically reflect electrical property changes in plant tissues under biotic stress
Code and data availability
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