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Discrimination of Transgenic Rice Based on Near Infrared Reflectance Spectroscopy and Partial Least Squares Regression Discriminant Analysis

机译:基于近红外反射光谱和偏最小二乘回归判别分析的转基因水稻鉴别

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摘要

Near infrared reflectance spectroscopy(NIRS), a non-destructive measurement technique, was combined with partial least squares regression discrimiant analysis(PLS-DA) to discriminate the transgenic(TCTP and mi166) and wild type(Zhonghua 11) rice. Furthermore, rice lines transformed with protein gene(Os TCTP) and regulation gene(Osmi166) were also discriminated by the NIRS method. The performances of PLS-DA in spectral ranges of 4 000–8 000 cm-1 and 4 000–10 000 cm-1 were compared to obtain the optimal spectral range. As a result, the transgenic and wild type rice were distinguished from each other in the range of 4 000–10 000 cm-1, and the correct classification rate was 100.0% in the validation test. The transgenic rice TCTP and mi166 were also distinguished from each other in the range of 4 000–10 000 cm-1, and the correct classification rate was also 100.0%. In conclusion, NIRS combined with PLS-DA can be used for the discrimination of transgenic rice.

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  • 来源
    《水稻科学(英文版)》 |2015年第5期|245-249|共5页
  • 作者单位

    College of Ecology, Lishui University, Lishui 323000, China;

    College of Life Sciences, Zhejiang University, Hangzhou 310058, China;

    College of Life Sciences, China Jiliang University, Hangzhou 310018, China;

    College of Life Sciences, China Jiliang University, Hangzhou 310018, China;

    College of Life Sciences, China Jiliang University, Hangzhou 310018, China;

    College of Life Sciences, China Jiliang University, Hangzhou 310018, China;

    College of Life Sciences, Zhejiang University, Hangzhou 310058, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-19 04:05:59
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