[1]李壮,张广才,安秀红,等.苹果园土壤有效氮近红外光谱PLS估测模型的构建[J].北方园艺,2018,42(03):113-119.[doi:10.11937/bfyy.20170119]
　LI Zhuang,ZHANG Guangcai,AN Xiuhong,et al.Estimation for Available Nitrogen Content of Apple Orchard Soil by Near Infrared Spectroscopy and Partial Least Squares Regression[J].Northern Horticulture,2018,42(03):113-119.[doi:10.11937/bfyy.20170119]
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苹果园土壤有效氮近红外光谱PLS估测模型的构建

《北方园艺》[ISSN:1001-0009/CN:23-1247/S] 卷: 第42卷 期数: 2018年03 页码: 113-119 栏目: 出版日期: 2018-02-15
Title:
Estimation for Available Nitrogen Content of Apple Orchard Soil by Near Infrared Spectroscopy and Partial Least Squares Regression
作者:
李壮1; 张广才2; 安秀红1; 李敏1; 厉恩茂1; 程存刚1
1.中国农业科学院 果树研究所，农业部园艺作物种质资源利用重点实验室，辽宁 兴城 125100；2.沈阳农业大学 土地与环境学院，辽宁 沈阳 110866
Author(s):
LI Zhuang1; ZHANG Guangcai2; AN Xiuhong1; LI Min1; LI Enmao1; CHENG Cungang1
1.Institute of Pomology,Chinese Academy of Agricultural Science/Key Laboratory of Horticulture Crops Germplasm Resources Utilization,Ministry of Agriculture,Xingcheng,Liaoning 125100；2.College of Land and Environment,Shenyang Agricultural University,Shenyang,Liaoning 110866
关键词:
苹果园; 土壤有效氮; 近红外光谱; 偏最小二乘回归法（PLS）
Keywords:
apple orchard; soil available nitrogen; near infrared spectroscopy; partial least squares regression （PLS)
DOI:
10.11937/bfyy.20170119
文献标志码:
A
摘要:
以63份苹果园土壤为试材，采用碱解扩散法测定土样有效氮含量，利用地物波谱仪Field Spec3采集土壤红外光谱，通过View Spec Pro RS3以及化学计量学软件Unscrambler 9.7对光谱数据转化、数据预处理及建模和校验等方法，研究了土壤有效氮的快速估测模型的可靠性，以期简化土壤测定程序和降低成本。结果表明：构建的土壤有效氮PLS估测模型，其因子数PCs=9，模型决定系数Rc2=0.968，预测决定系数Rv2=0.802，模型均方差RMSEC=4.102 mg?kg-1，交叉验证均方差RMSECV=10.217 mg?kg-1，预测相对标准差RPD=5.631，预测相对误差范围RER=22.009，构建的土壤有效氮PLS估测模型稳健、可靠，可以用来快速预测土壤有效氮含量。
Abstract:
As the experimental materials,63 orchard soils were used to construct rapid,simple and safe the soil nutrients content analysis methods by researching the relationship between soil near infrared spectral reflectance with soil nitrogen content.First,spectral values of sixty-three orchards soil and available nitrogen contents were obtained by Field Spec3 instrument and alkali-hydrolyzed diffusing method,respectively.Then,the reflectance spectra value was transformed into absorbance spectra value,data preprocessed,constructed and verificated the model with the software View SpecPro RS3 and Unscrambler 9.7,respectively.The results showed that soil available nitrogen content partial least squares regression （PLS) model was constructed，with factors （PCs) equal to 9,Rc2 equal to 0.968,Rv2 equal to 0.802,RMSEC equal to 4.102 mg?kg-1,RMSECV equal to 10.217 mg?kg-1,RPD equal to 5.631 and RER equal to 22.009.The experiment showed that near infrared spectroscopy from apple orchard soil could be used for quantification of available nitrogen in soil for quick diagnosis of nutrients.

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备注/Memo

第一作者简介：李壮（1975-），男，辽宁葫芦岛人，博士，副研究员，现主要从事果树营养生理等研究工作。E-mail：lizhuangcaas@163.com.

责任作者：程存刚（1969-），男，辽宁葫芦岛人，博士，研究员，现主要从事果树栽培与生理等研究工作。E-mail：ccungang@sohu.com.
基金项目：国家“863”计划资助项目（2013AA102405）；现代苹果产业技术体系建设资助项目（CARS-28)。
收稿日期：2017-09-30

更新日期/Last Update: 2018-02-09