| 玉米叶片净光合速率快速检测方法研究 |
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| 引用本文： | 张雨晴,于海业,刘爽,于通,隋媛媛.玉米叶片净光合速率快速检测方法研究[J].农机化研究,2019(4):182-185. |
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| 作者姓名： | 张雨晴 于海业 刘爽 于通 隋媛媛 |
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| 作者单位： | 吉林大学生物与农业工程学院 |
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| 基金项目： | 国家高技术研究发展计划(863计划)项目(2013AA103005-04);吉林省科技发展计划项目(20170204020 NY) |
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| 摘 要： | 玉米叶片的净光合速率可以用来表征植物生物量的积累和营养盈亏等健康状态,为探求玉米叶片净光合速率的快速无损检测方法,利用叶绿素荧光光谱分析技术对拔节期玉米叶片净光合速率进行检测。实验选取了吉林省典型种植品种先玉335作为研究对象,通过对80组数据的无量纲化处理和标准化处理,降低光谱噪声引起的样本差异,分析不同光谱波段与叶片净光合速率的相关性,确定500~550nm、675~715nm、715~745nm等3组波段作为光谱检测样本。选择675~715nm波段作为光谱波段的典型参数预测玉米叶片的净光合速率,得出两者之间存在显著线性关系,其决定系数R^2=0.7 9 2 4,表明以6 7 5~7 1 5 nm波段预测玉米叶片的净光合速率是可行的。对回归模型进行验证,得到预测值与真实值之间的决定系数R^2=0.7 9 2 1,表明此回归模型对拔节期玉米叶片净光合速率具有良好预测能力,为植物生理信息快速无损检测提供了新的方法。
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| 关 键 词： | 玉米叶片 净光合速率 无损检测 回归分析 叶绿素荧光光谱 |
Study on Rapid Detection Method of Net Photosynthetic Rate of Maize Leaves |
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| Zhang Yuqing,Yu Haiye,Liu Shuang,Yu Tong,Sui Yuanyuan.Study on Rapid Detection Method of Net Photosynthetic Rate of Maize Leaves[J].Journal of Agricultural Mechanization Research,2019(4):182-185. |
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| Authors: | Zhang Yuqing Yu Haiye Liu Shuang Yu Tong Sui Yuanyuan |
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| Institution: | (School of Biological and Agricultural Engineering,Jilin University,Changchun 130022, China) |
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| Abstract: | The net photosynthetic rate of maize leaves can be used to characterize plant biomass accumulation and nutrient profit and loss. In order to explore the rapid non-destructive detection method of net photosynthetic rate of maize leaves, this study used the effects of chlorophyll fluorescence spectroscopy on maize leaf net photosynthetic rate for detection. A typical test selected plant varieties Jilin Xianyu335 as the research object.By analyzing the difference of spectral noise caused by the non-dimensional treatment and standardization of 80 groups of data, the correlation between different spectral bands and net photosynthetic rate was analyzed. Three bands of 500-550nm, 675-715nm and 715-745nm were selected as the samples. The net photosynthetic rate of maize leaves was predicted by selecting the 675-715nm band as the typical parameters of the spectral band, and there was a significant linear relationship between them. The coefficient R^2 = 0.792, which was the first principal component of the 675-715nm band. It was feasible to predict the net photosynthetic rate of maize leaves. The regression model was validated by the regression model, and the coefficient of correlation between the predicted value and the real value was R^2 = 0.7921, which indicated that the regression model had a good ability to predict the net photosynthetic rate of maize leaves at jointing stage and provide a theoretical basis for rapid non - destructive testing of plant physiological information. |
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| Keywords: | maize leaves net photosynthetic rate nondestructive testing regression analysis chlorophyll fluorescence spectroscopy |
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