Unverified paper record
Monitoring of plant-induced electrical signal of pepper plants (Capsicum annuum L.) according to urea fertilizer application.
Scientific reports · 6 Jan 2023 · 10.1038/s41598-022-26687-w
Abstract
Plant-induced electrical signals (PIES) can be non-destructively monitored by inserting electrodes into plant stems, which reflect plant nutrient and water uptake. The main objective of this study was to evaluate the growth of pepper plants with different urea applications (low fertilizer: N0, Control: N1, and high fertilizer: N2) in soil by monitoring PIES. The PIES value was found to be low in the low urea treatment group while the two times higher urea applied pepper had the highest PIES value. The nutritional content of the stem, leaves and soil did not correlate with PIES because of dilution effect by high biomass with high urea application, but principal component analysis showed that the PIES was positively associated with pepper biomass and soil EC. The high fertilizer did not affect chlorophyll and proline contents in pepper leaves. The assessment of plant growth by PIES has advantages because non-destructive, real time and remote monitoring is possible. Therefore, PIES monitoring of different plants grown under various cultivation environments is useful method to evaluate plant activity and growth.
Plant phenotyping relevance
植物の成長・活動を非破壊かつリアルタイムに推定するPIES測定が研究の中心であり、肥料試験への応用と植物フェノタイプ評価法としての有用性を扱っている。
abstractPlant-induced electrical signals (PIES) can be non-destructively monitored by inserting electrodes into plant stems, which reflect plant nutrient and water uptake.
abstractThe assessment of plant growth by PIES has advantages because non-destructive, real time and remote monitoring is possible.
abstractTherefore, PIES monitoring of different plants grown under various cultivation environments is useful method to evaluate plant activity and growth.
Code and data availability
The paper's PIES measurements, growth/nutrient data, and PCA analysis are not publicly deposited; the Data availability statement says data are available only from the corresponding author upon reasonable request. No author code, datasets, or model assets with public URLs are mentioned.
No evidence-backed public reproduction asset is currently recorded.
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