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基于植物電信號的小麥苗期等滲干旱脅迫與鹽脅迫辨識
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國家自然科學(xué)基金項(xiàng)目(61571443)


Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal
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    摘要:

    針對早期干旱脅迫與鹽脅迫在植物處于逆境時(shí)難以區(qū)分的問題,提出一種基于光誘導(dǎo)植物電信號的干旱脅迫與鹽脅迫辨識方法,。使用光/暗循環(huán)刺激獲取了小麥幼苗在正常狀態(tài)以及等滲干旱脅迫與鹽脅迫下的植物葉表面電位,,并利用一對一分類策略的支持向量機(jī)(One-versus-one support vector machine,OVOSVM)對獲取的植物電信號樣本進(jìn)行分類,。三折交叉驗(yàn)證結(jié)果顯示:對正常狀態(tài)與干旱脅迫下小麥幼苗葉表面電位進(jìn)行二分類,,分類準(zhǔn)確率達(dá)到100%;對正常狀態(tài)與鹽脅迫下小麥幼苗葉表面電位進(jìn)行二分類,,準(zhǔn)確率為94.44%,;進(jìn)行三分類時(shí)準(zhǔn)確率達(dá)到96.30%;對等滲干旱脅迫與鹽脅迫下獲取的小麥葉表面電位進(jìn)行二分類,,分類準(zhǔn)確率為100%,。研究表明,植物電信號作為一種辨識逆境脅迫的方法,,可對等滲條件下早期干旱脅迫與鹽脅迫進(jìn)行準(zhǔn)確區(qū)分,。

    Abstract:

    In order to solve the problem that drought stress and salt stress are difficult to distinguish in the early stage when plants are under stress, a method was proposed to identify drought stress and salt stress based on light-induced plant electrical signals. The illumination/darkness cycle stimulation was used to obtain the surface potentials of wheat seedlings under normal conditions, as well as under isotonic drought and salt stress. One-versus-one support vector machine (OVOSVM) was used to classify the obtained plant electrical signals. The results of 3-fold cross validation showed that the two-class classification of wheat seedling leaf surface potential under normal and drought stress had an accuracy of 100%, and the two-class classification of leaf surface potential under normal and salt stress had an accuracy of 94.44%. The accuracy of three-class classifications reached 96.30%. Under the conditions of isosmotic drought stress and salt stress, the classification accuracy of wheat seedling leaf surface potential was 100%. The results showed that plant electrical signals can be used as a method to identify adversity stress, and can accurately identify early drought stress and salt stress under isotonic conditions.

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李進(jìn)海,李洋,RICARDO Ferraz de Oliveira,姚杰鵬,黃嵐,王忠義.基于植物電信號的小麥苗期等滲干旱脅迫與鹽脅迫辨識[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2021,52(7):231-236. LI Jinhai, LI Yang, RICARDO Ferraz de Oliveira, YAO Jiepeng, HUANG Lan, WANG Zhongyi. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(7):231-236.

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  • 收稿日期:2021-04-26
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  • 在線發(fā)布日期: 2021-07-10
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