| ATR-FTIR技术在小麦籽粒识别上的探索 |
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| 引用本文： | 曾玉婷,李博,王容,王炳锐,赵林姝,张文英,刘录祥,徐延浩.ATR-FTIR技术在小麦籽粒识别上的探索[J].核农学报,2021,35(7):1522-1531. |
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| 作者姓名： | 曾玉婷 李博 王容 王炳锐 赵林姝 张文英 刘录祥 徐延浩 |
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| 作者单位： | 1长江大学农学院涝渍灾害与湿地农业湖北省重点实验室,湖北 荆州 434025; 2华中农业大学植物科学技术学院,湖北 武汉 430070; 3中国农业科学院作物科学研究所,北京 100081 |
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| 基金项目： | 国家重点研发计划(2016YFD0102101) |
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| 摘 要： | 为探索衰减全反射傅里叶变换红外光谱技术(ATR-FTIR)在小麦籽粒品种(系)识别和籽粒性状突变体鉴别上的应用,本研究采集了91个小麦品种(系)和576个小麦M5突变体及235个对照株系籽粒的ATR-FTIR光谱,其中71个小麦品种(系)用于建立小麦籽粒ATR-FTIR识别模型,20个小麦品种(系)用于外部验证;对建模光谱数据进行7种预处理,在3 600~1 000 cm-1波段内建立小麦籽粒品种(系)识别模型,外部验证检验该模型的准确性;并应用该模型从M5突变株系中鉴定籽粒性状突变体。结果表明,使用多元散射矫正+Norris平滑(MSC+ND)预处理方法建立的小麦籽粒ATR-FTIR识别模型能完全鉴别71个小麦品种(系)的籽粒,且外部验证也证实了该模型的准确性;应用建立的小麦籽粒ATR-FTIR识别模型,从突变株系中鉴定了4个籽粒性状潜在突变体,突变率为0.69%。本研究建立了小麦籽粒ATR-FTIR识别模型,实现了对不同小麦品种(系)籽粒的区分,并将该模型应用于突变体鉴别,拓宽了ATR-FTIR光谱技术在小麦上的应用领域,同时为筛选小麦籽粒性状突变体提供了新的途径。
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| 关 键 词： | 小麦籽粒 突变体 衰减全反射傅里叶变换红外光谱(ATR-FTIR) 识别 |
| 收稿时间： | 2020-08-31 |
Exploration of ATR-FTIR Technique in the Identification of Wheat Grains |
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| ZENG Yuting,LI Bo,WANG Rong,WANG Bingrui,ZHAO Linshu,ZHANG Wenying,LIU Luxiang,XU Yanhao.Exploration of ATR-FTIR Technique in the Identification of Wheat Grains[J].Acta Agriculturae Nucleatae Sinica,2021,35(7):1522-1531. |
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| Authors: | ZENG Yuting LI Bo WANG Rong WANG Bingrui ZHAO Linshu ZHANG Wenying LIU Luxiang XU Yanhao |
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| Institution: | 1Hubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland, College of Agriculture, Yangtze University, Jingzhou, Hubei 434025; 2College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, Hubei 430070; 3Institute of Crop Sciences,Chinese Academy of Agricultural Sciences, Beijing 100081 |
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| Abstract: | The purpose of this study is to develop a wheat varieties (lines) identificational model by their grain attenuated total reflection fourier transform infrared (ATR-FTIR) spectra and to apply the model for screening grain traits mutants. The grains ATR-FTIR spectra of 91 wheat varieties (lines), 576 wheat M5 mutants and 235 control lines were collected. Among of them, 71 wheat varieties (lines) were used to establish wheat varieties (lines) identificational model, and 20 wheat varieties (lines) were used for external verification. Seven pretreatment methods were carried out on the spectral data, and the wheat grain varieties (lines) identificational model was constructed in the band of 3 600-1 000 cm-1, then the model was verified by external verification and finally applied to screen grain traits mutants from M5 wheat mutant lines. The results showed that the ATR-FTIR identificational model established with Multiplicative signal correction + Norris derivative filter (MSC+ND) pretreatment method can completely differentiate 71 wheat varieties (lines), and the external verification confirmed the accuracy of the model. According to the established ATR-FTIR identificational model, four grain character mutants were screened from the mutant lines, and the frequency of mutation rate was 0.69%. Our study constructed ATR-FTR identificational model in wheat grain for the first time, completely distinguish different wheat varieties (lines) and was successfully applied to screen wheat grain mutants, which not only broadened the application of ATR-FTIR spectroscopy in wheat, but also provided a new method for mutant screen towards gain traits. |
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| Keywords: | wheat grains mutant attenuated total reflection fourier transform infrared spectroscopy (ATR-FTIR) discriminant |
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