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結合圖像的葉綠素熒光動力學植物水分脅迫探測方法
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國家自然科學基金項目(61605157、61275185、61565001)和國家民委科研項目(14BFZ011)


Detecting Method for Plant Water Stress with Chlorophyll Fluorescence Kinetics Based on Imaging
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    摘要:

    為了準確、直觀探測植物水分脅迫及生長狀態(tài)信息,融合了葉綠素熒光動力學參數(shù)及熒光圖像對不同干旱脅迫條件下的植物進行了實驗觀測。以460nm藍色LED作為激發(fā)光源,EMCCD加裝690nm帶通濾光片進行熒光圖像采集,對4種不同采樣周期下的各1000幅圖像求每幅圖的像素平均值,按時間序列繪制熒光強度,可得到信息更全面的葉綠素熒光動力學曲線,并計算得出各個動力學參數(shù)。同時,對不同時間產生的熒光圖像進行降噪、乘除等運算,并用偽彩色顯示,可直觀分析各類因素導致的熒光分布不均勻性。對易失水葉片和非易失水葉片分別進行快速水分脅迫和緩慢水分脅迫實驗,結果表明,熒光比Rfd及動力學曲線上次峰值出現(xiàn)的時間隨著脅迫的加劇均發(fā)生相應變化,且與葉片含水率之間具有較高的擬合決定系數(shù)。因此,將葉綠素熒光動力學特征和圖像信息相結合,可提高植物干旱脅迫早期預測的準確度和直觀性,為現(xiàn)場連續(xù)無損地監(jiān)測植物生長狀態(tài)、各類脅迫信息、病蟲害檢測等提供了一種快速的遙測手段。

    Abstract:

    Chlorophyll fluorescence is a useful indicator as it gives important information about the stress and health state of plant. In order to detect plant water stress and growth state accurately and intuitively, plants under different drought stress conditions were experimented by using chlorophyll fluorescence imaging method combined with the chlorophyll fluorescence kinetics parameters. The chlorophyll fluorescence was excited by 460nm LEDs, and acquired by EMCCD equipped with 690nm band pass filter. The average pixel value was calculated for each image of 4000 pictures which were acquired in four different sampling periods individually. The intensity of each image was plotted according to the time sequence, thus the chlorophyll fluorescence kinetics curve could be concluded, and chlorophyll fluorescence kinetics parameters could be calculated. Meanwhile, images were processed for noise reduction, calculation of multiplication and division and so on. And then they were displayed by pseudo color, thus various factors led to uneven distribution of fluorescence could be intuitively analyzed. Fast water stress and slow water stress experiments were conducted for easy to dehydrate and not easy to water loss leaves, respectively. The results showed that the fluorescence ratio Rfd and the time of second peak of kinetics curve were changed with the increase of stress, and both had high fitting determination coefficient with leaf water content (0.86 and 0.98). Therefore, the method combined the chlorophyll fluorescence imaging with chlorophyll fluorescence kinetics parameters could improve the accuracy and intuition of plant drought stress earlier prediction, and it could be a rapid means of remote sensing for site continuous monitoring the growth status of plants, all kinds of stress, pest and disease and so on.

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周春艷,華燈鑫,樂靜,閆慶,毛建東,景敏.結合圖像的葉綠素熒光動力學植物水分脅迫探測方法[J].農業(yè)機械學報,2017,48(1):148-154. ZHOU Chunyan, HUA Dengxin, LE Jing, YAN Qing, MAO Jiandong, JING Min. Detecting Method for Plant Water Stress with Chlorophyll Fluorescence Kinetics Based on Imaging[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(1):148-154.

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  • 收稿日期:2016-09-27
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  • 在線發(fā)布日期: 2017-01-10
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