Optimized model for rapid identification of transgenic soybeans based on morphological analysis

A technology for genetically modified soybeans and morphological analysis, applied in the field of near-infrared spectroscopy detection, can solve the problems of inapplicability to actual conditions and time-consuming

Inactive Publication Date: 2019-12-31
NAT INST FOR NUTRITION & HEALTH CHINESE CENT FOR DISEASE CONTROL & PREVENTION
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But existing methods usually require some very complex and time-consuming pro

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  • Optimized model for rapid identification of transgenic soybeans based on morphological analysis
  • Optimized model for rapid identification of transgenic soybeans based on morphological analysis
  • Optimized model for rapid identification of transgenic soybeans based on morphological analysis

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[0036] Summary of the Study The following example investigates a rapid, non-destructive detection method for transgenic soybeans using near-infrared spectroscopy (NIR) and partial least squares discriminant analysis (PLS-DA). Principal component analysis (PCA) is used to extract relevant features from spectral data and remove outlier samples. In the experiment, 94 samples are used to build the model, and 41 samples are used for validation to evaluate the effect of the model. The effects of sample form (whole grain and powder), wavelength range and spectral preprocessing method on the accuracy of the model were discussed respectively. Overall, powdered soybean samples modeled better than whole soybean samples. Among them, the model with the best judgment effect is the whole soybean at 9403-5438cm -1 , using the second derivative (2nd) to process the spectrum, the correctness of the calibration set and verification set of the model is 100%; -1 , using vector normalization + f...

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Abstract

The invention provides an optimized model for rapid identification of transgenic soybeans based on morphological analysis. According to the invention, firstly, an establishment method of the optimizedmodel for rapid identification of the transgenic soybean based on morphological analysis is provided; for whole soybeans, spectral information under a characteristic wave band of 9403-5438cm<-1> is selected, the spectrum is preprocessed by adopting a second derivative, and a PLS-DA model is established by adopting a partial least squares-discrimination method; and for powdery soybeans, spectral information under a characteristic waveband of 7505-4597cm<-1> is selected, the spectrum is preprocessed by adopting vector normalization and a first derivative, and a PLS-DA model is established by adopting a partial least squares-discrimination method. According to the invention, the transgenic soybeans are identified by combining the near-infrared spectrum with a discriminant analysis method, and the identification accuracy of the discrimination model can be improved by selecting the sample form, the wavelength range and the spectrum pretreatment method, so that the optimal model is selectedto be applied to actual production.

Description

technical field [0001] The invention belongs to the technical field of near-infrared spectrum detection, and in particular relates to a method for quickly identifying transgenic soybeans by using near-infrared spectrum. Background technique [0002] Soy plays an important role in the traditional diets of many countries, mainly because it is low in fat and an excellent source of protein, dietary fiber and various micronutrients and phytochemicals. It is hoped that genetic technology can be used to increase the yield of soybeans or to change the characteristics of soybeans, such as improving the nutritional content of seeds (including protein, oil and some active ingredients), improving the resistance of seeds to diseases and insect pests, or planting in new geographical areas Develop new varieties, etc. Based on the purpose of implementing quality control on genetically modified soybeans, it is necessary to develop some reliable and effective detection methods for geneticall...

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Application Information

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IPC IPC(8): G01N21/3563G01N21/359G16B40/20
CPCG01N21/3563G01N21/359G01N2021/3595G16B40/20
Inventor 王竹高慧宇张雪松王国栋
Owner NAT INST FOR NUTRITION & HEALTH CHINESE CENT FOR DISEASE CONTROL & PREVENTION
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