Chlorophyll fluorescence imaging based transgenic maize glyphosate tolerance phenotype detection method

Abstract

The invention discloses a chlorophyll fluorescence imaging based transgenic maize glyphosate tolerance phenotype detection method. The method includes: (1) preparing experimental samples; (2) acquiring shikimic acid contents of canopy leaves of transgenic maize and non-transgenic maize plants subjected to glyphosate stress in different day numbers; (3) acquiring canopy chlorophyll fluorescence parameters of the transgenic maize and the non-transgenic maize plants subjected to glyphosate stress in different day numbers through a chlorophyll fluorescence imaging system; (4) establishing a PLSR model to reject abnormal samples, and selecting a modeling set and a prediction set through K-Means; (5) selecting the chlorophyll fluorescence parameters most sensitive in glyphosate stress response by means of principal component analysis; (6) establishing a PLSR regression analysis model on the basis of the selected chlorophyll fluorescence parameters and the practical shikimic acid content of the transgenic maize plants, wherein determination coefficients R<2> of the modeling set and the prediction set are 0.75 and 0.63 respectively. The method is high in identification precision and simple in operation, and quick nondestructive testing of transgenic maize glyphosate tolerance phenotypes can be realized.

Description

Technical field [0001] The invention belongs to the technical field of non-destructive detection of herbicide tolerance of genetically modified crops, and specifically relates to a method for detecting the glyphosate tolerance phenotype of genetically modified corn based on chlorophyll fluorescence imaging. Background technique [0002] With the rapid development of modern agriculture, farmland weeds that affect the development of agricultural production have received widespread attention. Studies have shown that field weeds affect the quality of crops, and can also cause crop yields ranging from 10% to 100% loss, seriously threatening agricultural production. At present, the control of weeds mainly relies on spraying herbicides. Glyphosate is the most successful herbicide developed in the 1970s. Because of its broad weed-killing spectrum and excellent systemic conductivity, it can effectively control perennial deep-rooted malignant weeds, is safe for humans and animals, is eas...

AI Technical Summary

Problems solved by technology

However, these methods are destructive to samples, consume a lot of manpower and material resources, and have poor timeliness, which is not conducive to popularization and application.

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