Evidence map›Paper›PMID 39622930›Full record

ArticleScientific reports2024

A study on the macro and micro mechanisms of cotton seedling growth regulation by high-voltage electrostatic field and optimization of system parameters.

Xinming Wu, Sheng Sun, Bin Hu, Xin Luo, Xiyang Li, Changjie Han

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xinming WuCollege of Mechanical and Electronic Engineering, Shihezi University, Shihezi, 832000, China.
Sheng SunCollege of Mechanical and Electronic Engineering, Shihezi University, Shihezi, 832000, China.
Bin HuXinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, Shihezi, 832003, China.
Xin LuoXinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, Shihezi, 832003, China. lx_mac@shzu.edu.cn.
Xiyang LiXinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, Shihezi, 832003, China.
Changjie HanCollege of Electrical and Mechanical Engineering, Xinjiang Agricultural University, Urumqi, 830000, China.

Funding

National Key Research and Development Program of China 2022YFD2002401
6 · The paper itself

Abstract

Addressing the issues of inefficiency and severe environmental pollution associated with artificial and chemical methods in cotton growth regulation, this study introduces the high-voltage electrostatic field environmental control technology. It delves into the technology's macro- and microscopic impacts on cotton seedling growth and optimizes its operational parameters. At the macro level, the study examines the influence of adjusting the output voltage of the high-voltage electrostatic generator, the distance between the upper pole plate and the cotton leaf, and the action time of the electric field on seedling features above (plant height, ground diameter, and leaf area) and below ground (fresh weight and dry weight of roots). Subsequently, utilizing an orthogonal experimental design, the optimal parameters are identified: output voltage of 15.93 kV, a distance of 10.71 cm between the pole plate and cotton leaf, and an action time of 39.23 s, resulting in the most favorable overall growth condition. At the micro level, conductivity meters and transmission electron microscopy techniques are employed to investigate leaf electrical conductivity and ultrastructure changes under a high-voltage electrostatic field. Results indicate a slight conductivity increase under moderate conditions (e.g., 18 kV-8 cm), signifying healthy cell membranes. Conversely, extreme conditions (e.g., 18 kV-2 cm or 36 kV-8 cm) cause marked conductivity spikes, pointing to cellular damage. Transmission electron microscopy observations reinforce this, with intact membranes under optimal conditions but disintegration and degradation under adverse ones. In conclusion, this study unravels the internal mechanisms of high-voltage electrostatic field regulation on cotton seedling growth from macro- to micro-scales, validating its feasibility and effectiveness. This breakthrough not only pioneers a novel approach for cash crop seedling growth control but also lays a scientific foundation for refining and advancing cotton cultivation techniques, thereby advancing agricultural modernization and sustainable development goals.

Indexed as

Cotton seedlingsGrowth regulationHigh-voltage electrostatic fieldMacro and micro mechanismsTransmission electron microscope

Identifiers

PMID39622930
PMCPMC11611903

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.