作者：易时来,邓烈,何绍兰,郑永强,毛莎莎
作者单位：西南大学柑桔研究所,中国农业科学院柑桔研究所,国家柑桔工程技术研究中心
摘要：【目的】快速、无损、准确地获取柑橘叶片营养信息。【方法】以盆栽蓬安100锦橙为试材,通过精确控制施肥处理(K0:0g,K1:30g,K2:75g,K3:90,K4:120gk2O/株/年),利用鲜叶进行光谱检测钾素营养状况分析。【结果】可见近红外波段范围内,各施钾处理蓬安100锦橙夏梢叶片光谱反射强度呈K3>K0>K1>K2>K4趋势。通过对反射光谱、一阶微分、二阶微分和倒数对数光谱进行多元散射(multiple scattering correction,MSC)校正处理,运用偏最小二乘法(partial least square method,PLS)与内部交叉验证建立了钾含量预测回归模型,其中反射光谱的二阶微分光谱钾含量定标模型具有最好的预测能力,其预测相关系数最大,r=0.82;预测均方根误差较小,RMSEP=0.0038;偏差(Bias)绝对值最小,Bias=-2.34E-05。【结论】通过锦橙叶片反射光谱二阶微分值与叶片钾含量构建的PLS回归模型,可以较好地预测蓬安100锦橙夏梢叶片钾含量。进一步分析表明,波段477—515nm、541—588nm、632—669nm、701—718nm和754—794nm是反射光谱二阶微分与蓬安100锦橙叶片钾含量定标模型的特征波长。
关键词：锦橙叶片,钾含量,二阶微分,偏最小二乘法,可见近红外光谱
Title: A Spectrum Based Models for Monitoring Leaf Potassium Content of Citrus sinensis (L)cv.Jincheng Orange
Authors: YI Shi-lai,DENG Lie,HE Shao-lan,ZHENG Yong-qiang,MAO Sha-sha
Abstract: 【Objective & Method】 Field experiments were conducted to assess the potassium content in leaves of Citrus sinensis (L)cv.Peng’an 100 Jincheng orange by using VIS/NIRS spectral method.Before calibration,principal component analysis (PCA) and partial least square (PLS) techniques were applied in data pre-processing.【Result】 The order of leaf reflective spectrum intensity was K3>K0>K1>K2>K4 in the visible near-infrared range of 400-1000 nm,where the K fertilizer usage of K0,K1,K2,K3,K4 treatments were 0 g,30 g,75 g,90 g,120 g(k2O/plant/year),respectively.The calibration models of potassium content were built by applying PLS and internal cross-validation test method and through processing the reflectance spectrum,the first derivatives,the second derivatives and the reciprocal logarithm spectrum of Peng’an 100 Jincheng leaves using multiplicative scatter correction(MSC).The results showed that the model of the second derivatives calibration of reflectance spectrum had the best predicative ability,the highest correlation coefficient,the smallest root mean square error of predictation (RMSEP) and the smallest absolute bias at 0.82,0.0038 and-2.34E-05,respectively.【Conclusion】 The second derivatives of reflectance spectrum could be used to predict the potassium content in Peng’an 100 Jincheng leaves.And 477-515 nm,541-588 nm,632-669 nm,701-718 nm and 754-794 nm were the characteristics of wavelengths of second derivatives of reflectance spectrum predicting potassium content in summer shoot leaves of of Peng’an 100 Jincheng.
文献注录：易时来,邓烈,何绍兰,郑永强,毛莎莎. 锦橙叶片钾含量光谱监测模型研究 [J]. 中国农业科学. 2010, 04: 780-786.
基金: 重庆市重大攻关项目(CSTC,2006);科技部支撑计划项目(2007BAD47B04-1);市自然科学基金项目(CSTC,2007BB1378);市柑橘学重点实验室和重庆市教委果树学重点实验室联合资助项目
报/刊名：《中国农业科学》，发表于2010 / 第 04 期。
文献类型： [J]
页码：第 780-786 页 / 共7 页