[目的]探索建立基于近红外光谱技术的土壤微量元素监测技术.[方法]采集三峡库区(重庆)主要加工甜橙基地果园背景土壤样品168个,随机选取100个作为建模样本,其余为检验样本;测定所有样本的近红外反射光谱和土壤Fe、Mn、Zn全含量;运用最佳光谱预处理方法和偏最小二乘法(partial least square method,PLS)及内部交叉验证方法建立校正模型,并进行模型精度检验.[结果]变量标准化(Standard normal variables,SNV)为土壤Fe、Nn、Zn含量近红外光谱预测的最佳光谱预处理方法;运用SNV光谱预处理和偏最小二乘法(PLS)及内部交叉验证法建立的土壤Fe、MN、Zn含量校正模型,95%置信区间内的预测精度分别为92.65%、95.59%和95.59%.[结论]利用近红外反射光谱技术进行土壤Fe、Mn、Zn含量检测可行且精度较高.
[ Objective ] The objective of the study is to explore and establish the monitoring approach of purple soil microelements based on near infrared spectroscopy technology. [Method] There were 168 samples of background soil of main sweet orange orchards in Three Gorges Reservoir Area were collected. After the sample processing, 100 samples were selected as calibration samples randomly, others for test samples. The quantity of near infrared spectrum and total Fe, Mn, Zn content of purple soil were determined. By using the optimum spectrum pretreatment and partial least square method(PLS) along with internal cross-validation the calibration models were established, and the model accuracy was tested. [ Result] The best spectrum pretreatment for prediction of total Fe, Mn, Zn contents of purple soil is standardization of variables by using near infrated spectroscopy. The calibration models of Fe, Mn, Zn concentration of purple soil established by using the spectrum pretreatment, PLS and internal cross-validation, the precisions under 95％ confidence interval were 92.65％, 95.59％ and 95.59％, respectively. [Conclusion ] It has a certain feasibility by using the near-infrared spectroscopy to predict total Fe, Mn, Zn concentrations of purple soil.
易时来;邓烈;何绍兰;郑永强;王纪华;王亮;赵旭阳
西南大学柑桔研究所,重庆,400712中国农业科学院柑桔研究所,重庆,400712国家农业信息化工程技术研究中心,北京,100089
柑橘园;紫色土;Fe/Mn/Zn含量;监测模型;近红外光谱
citrus orchard; purple soil; Fe, Mn, Zn concentration; monitoring models; near infrared spectroscopy (nirspectroscopy)
《中国农业科学》 2011 (011)
2318-2324 / 7
重庆市自然科学基金项目(CSTC,2010BB1152)、中央高校基本科研业务费专项(XDJK2010C070)、科技部科技人员服务企业专项项目(2009GJF10004)、农业部"948"项目、重庆市重大攻关项目(CSTC,2008AB1053)、重庆市柑橘重大技术攻关项目(2009-02)、国家柑桔工程技术研究中心项目
10.3864/j.issn.0578-1752.2011.11.014
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