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引用本文:韩康,于静,李瑞,等.基于光谱特征值反演马铃薯叶片氮累积量[J].灌溉排水学报,0,():-.
han,yujing,lirui,et al.基于光谱特征值反演马铃薯叶片氮累积量[J].灌溉排水学报,0,():-.
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基于光谱特征值反演马铃薯叶片氮累积量
韩康1, 于静1, 李瑞2, 樊明寿1
1.内蒙古农业大学;2.鄂尔多斯市土壤肥料和节水农业工作站
摘要:
【目的】研究多种光谱特征值与滴灌马铃薯叶片氮累积量的定量关系。【方法】在大田滴灌模式下,选用不同马铃薯品种为试验材料,设置5个氮肥水平,分别为0、150、300、450、600 kg/hm2,测定了马铃薯各生长阶段光谱特征值与叶片氮累积量,并做相关分析和回归分析。【结果】马铃薯各生长阶段光谱特征值红蓝变面积比值[RI(SDr,SDb)]与马铃薯叶片氮累积量(LNA)关系较密切,为敏感光谱特征值。在出苗后20、35、50、65天RI(SDr,SDb)与LNA的数量关系均为二次项模型,而全生育期基于RI(SDr,SDb)与LNA拟合的最佳监测模型为指数模型。出苗后20、35天以及全生育期基于RI(SDr,SDb)构建的叶片氮累积量最佳监测模型可定量描述不同氮水平下的马铃薯LNA,且不受生长环境的影响,为马铃薯关键生育阶段氮素营养状况的监测模型,R2高于0.7,RMSE范围分别为4.348~8.844、6.665~17.725、8.862~17.725 kg/hm2。【结论】RI(SDr,SDb)可以估测马铃薯关键生育阶段氮素营养状况。
关键词:  马铃薯;叶片氮累积量;光谱特征值;监测模型
DOI:
分类号:S532
基金项目:内蒙古自治区科技成果转化专项,内蒙古农业大学科技成果转化专项资金,内蒙古农业大学高层次人才引进科研启动项目,中央引导地方基金
Inversion of Nitrogen Accumulation in Potato Leaves Based on Spectral Eigenvalues
han1, yujing1, lirui2, fanmingshou1
1.Inner Mongolia Agricultural University;2.Ordos Soil and Fertilizer and Water-Saving Agriculture Work Station
Abstract:
The canopy hyperspectral reflectance information can estimate the growth status of the crop. Among them, the spectral eigenvalues have been successfully applied to the diagnosis of crop nitrogen nutrition and the precise application of nitrogen fertilizer, which can improve the nitrogen use efficiency and reduce environmental pollution. However, the sensitive spectral eigenvalues of nitrogen nutrition monitoring vary with crop types. Potato canopy structure is different from other crops. Whether the sensitive spectral eigenvalues of other crops can be directly used to the nitrogen nutrition diagnose of potato is not yet known. The existing research results mostly focu on the relationship between the spectral parameters in the red border and the nitrogen nutrition indicators of crops. Whether other spectral eigenvalues are closely related to potato nitrogen nutrition is also worth studying. 【Objective】Study the quantitative relationship between various spectral eigenvalues and leaf nitrogen accumulation of drip irrigation potato. 【Methods】In the field of dripping irrigation mode, different potato varieties were selected as test materials with five nitrogen fertilizer levels respectively. The nitrogen application rate was 0,150,300,450,600 kg/hm2. The various spectral eigenvalues and the leaf nitrogen accumulation of potato were determined and correlation analysis and regression analysis at different growth stages were performed. 【Result】The ratio of red edge area to blue edge area [RI(SDr,SDb)] was the most closely related to leaf nitrogen accumulation (LNA) at each growth stage and was the sensitive spectral eigenvalues. The quantitative relationship of RI(SDr, SDb) and LNA were quadratic at 20, 35, 50, and 65 days after emergence, and the optimal monitoring model of whole growth period was the exponential. The best monitoring models for leaf nitrogen accumulation based on RI(SDr, SDb) at 20, 35 days after emergence and the whole growth period could quantitatively describe the leaf nitrogen accumulation of potato under different nitrogen levels, and was monitoring model of nitrogen nutrition status in key growth stages of potato, not affected by growth environment, which R2 was higher than 0.7, and the RMSE ranges are 4.348~8.844, 6.665~17.725, 8.862~17.725 kg/hm2, respectively.【Conclusion】RI(SDr, SDb) could estimate the nitrogen nutrition status of potatoes in key growth periods.
Key words:  potato; leaf nitrogen accumulation; spectral eigenvalue; monitoring model