| 应用近红外光谱技术定量分析杂交玉米纯度的研究 |
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| 作者姓名： | Huang YY Zhu LW Ma HX Li JH Sun BQ Sun Q |
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| 作者单位： | 1. 中国农业大学农学与生物技术学院植物遗传育种学系/农业部基因组学与遗传改良重点实验室/北京市作物遗传改良重点实验室,北京,100193
2. 中国农业大学信息与电气工程学院,北京,100193 |
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| 基金项目： | 国家自然科学基金项目(30971792); 中国农业大学基本科研业务费专项资金项目(2009-3-7/2510JS052); 北京市大学生科学研究与创业行动计划项目资助 |
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| 摘 要： | 利用近红外光谱分析技术结合定量偏最小二乘法对农大108玉米的纯度进行了定量测定,首先通过在农大108杂交种子加入不同量的母本178种子,获得纯度60%~100%范围内的样本123份,然后测定粉碎后样本的光谱,根据2:1的比例划分建模集和检验集。结果表明:6 000~10 000 cm-1为适宜的建模光谱范围,主成分为8时,建模集内部交叉验证的决定系数达96.61%、校正标准差(SEC)2.15%,平均相对误差(RSD)2.04%;检验集的决定系数达到97.67%,校正标准差(SEP)1.78%,平均相对误差(RSD)1.94%。采用该方法建模时,采用不同比例的建模样品和检验样品,建模集平均决定系数为96.21%,校正标准差2.29%,平均相对误差为2.81%。检验集的平均决定系数为95.75%,预测标准差2.23%,平均相对误差为2.73%,进一步证明模型的稳定性。
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| 关 键 词： | 近红外光谱 杂交玉米 纯度 定量分析 |
Quantitative analysis of hybrid maize seed purity using near infrared spectroscopy |
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| Huang YY,Zhu LW,Ma HX,Li JH,Sun BQ,Sun Q.Quantitative analysis of hybrid maize seed purity using near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2011,31(10):2706-2710. |
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| Authors: | Huang Yan-Yan Zhu Li-Wei Ma Han-Xu Li Jun-Hui Sun Bao-Qi Sun Qun |
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| Institution: | HUANG Yan-yan1,ZHU Li-wei1,MA Han-xu1,LI Jun-hui2,SUN Bao-qi1,SUN Qun1*1.Department of Plant Genetics and Breeding,College of Agriculture and Biotechnology,China Agricultural University /Key Laboratory of Crop Genomics and Genetic Improvement of Ministry of Agriculture/Beijing Key Laboratory of Crop Genetic Improvement,Beijing 100193,China2.College of Information and Electrical Engineering,China Agricultural University,China |
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| Abstract: | A quantitative identification model for testing the purity of hybrid maize seeds was built by near infrared reflectance spectroscopy with quantitative partial least squares(QPLS).The NIR spectra of 123 seeds powder samples(Nongda108 and mother178) with the purity of 60%~100% were collected using MPA spectrometer.All samples were divided into two groups: calibration set(82 samples) and validation set(41 samples).Synergy interval partial least squares(SiPLSu) was used for selecting effective spectral regions ... |
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| Keywords: | Near-infrared spectroscopy Hybrid maize Purity Quantitative analysis |
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