Pre-sowing treatment of sunflower seeds in a magnetic field

V. Savchenko, Oleksandr Synyavskiy, A. Nesvidomin
{"title":"Pre-sowing treatment of sunflower seeds in a magnetic field","authors":"V. Savchenko, Oleksandr Synyavskiy, A. Nesvidomin","doi":"10.1109/KhPIWeek57572.2022.9916403","DOIUrl":null,"url":null,"abstract":"Pre-sowing treatment of sunflower seeds in a magnetic field improves its sowing qualities, plant biometrics and yield, which can be explained by increasing the rate of chemical reactions in seeds, solubility of salts and acids, permeability of cell membranes, increased transport of ions, oxygen and water. Based on the obtained analytical dependences and experimentally the regime parameters of sunflower seed treatment and their optimal values was determined: magnetic induction 0.065 T, magnetic field gradient 0.57 T/m (pole division 0.23 m), fourfold re-magnetization, seed velocity 0.4 m/s, which provides energy dose of seed treatment 3.8 J.s/kg. It is established that the change in the biopotential of sunflower seeds can determine the efficiency of their treatment in a magnetic field and determine the change in activation energy, which does not exceed 3.28 kJ/g-eq. Using the optimal parameters of sunflower seed treatment in a magnetic field, an device for pre-sowing treatment of sunflower seeds in a magnetic field was designed and manufactured, the use of which increases germination energy by 28 %, germination by 24 %, sunflower yield by 26 %.","PeriodicalId":197096,"journal":{"name":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek57572.2022.9916403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Pre-sowing treatment of sunflower seeds in a magnetic field improves its sowing qualities, plant biometrics and yield, which can be explained by increasing the rate of chemical reactions in seeds, solubility of salts and acids, permeability of cell membranes, increased transport of ions, oxygen and water. Based on the obtained analytical dependences and experimentally the regime parameters of sunflower seed treatment and their optimal values was determined: magnetic induction 0.065 T, magnetic field gradient 0.57 T/m (pole division 0.23 m), fourfold re-magnetization, seed velocity 0.4 m/s, which provides energy dose of seed treatment 3.8 J.s/kg. It is established that the change in the biopotential of sunflower seeds can determine the efficiency of their treatment in a magnetic field and determine the change in activation energy, which does not exceed 3.28 kJ/g-eq. Using the optimal parameters of sunflower seed treatment in a magnetic field, an device for pre-sowing treatment of sunflower seeds in a magnetic field was designed and manufactured, the use of which increases germination energy by 28 %, germination by 24 %, sunflower yield by 26 %.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
向日葵种子在磁场中的播前处理
葵花籽在磁场下的播前处理改善了其播种品质、植物生物特征和产量,这可以通过增加种子中的化学反应速率、盐和酸的溶解度、细胞膜的渗透性、离子、氧和水的运输增加来解释。根据得到的分析依赖关系和实验结果,确定了葵花籽处理的制度参数及其最佳值:磁感应强度0.065 T,磁场梯度0.57 T/m(极差0.23 m),四倍再磁化,种子速度0.4 m/s,即种子处理的能量剂量为3.8 J.s/kg。确定了葵花籽生物电位的变化可以决定其在磁场中的处理效率,并确定活化能的变化,其不超过3.28 kJ/g-eq。利用磁场处理向日葵种子的最优参数,设计并制造了一种磁场处理向日葵种子的播种前处理装置,该装置的使用使种子萌发能提高28%,发芽率提高24%,产量提高26%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Flexible textile thermoelectric materials with CuI nanostructured films deposited on composites of nanocellulose and polyester fabric Nonlinear vibrations of sandwich shells of revolutions with carbon nanotubes reinforced composite faces and fused deposition processed honeycomb core Comparative Analysis of New Methods for Defect Type Recognition by Dissolved Gas Analysis $3\mathrm{D} \text{Al}_{\mathrm{x}}\text{Ga}_{1-\mathrm{x}}\text{As}/\text{por}\text{-}\text{GaAs}/\text{GaAs}$ heterostructures for solar cells Simulation Modelling of the Process of Birds Fly into the Turbojet Aircraft Engine Fan to Determine Most Dangerous Cases in Terms of Blade Strength
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1