A method for evaluating the nutritional status of crops in latent nutrient deficiency period using sensitive metabolites

Abstract

The invention provides a method for evaluating the nutritional status of crops in latent nutrient deficiency period by using sensitive metabolites, comprising the following steps: dividing the nitrogen, phosphorus and potassium test areas, adopting standard crop fertilization formulas, and forming three different types of nitrogen, nitrogen, and excess Samples of phosphorus and potassium nutritional levels; use liquid chromatography-mass spectrometry to obtain non-target metabolomics data; screen sensitive metabolites significantly related to crop nitrogen, phosphorus, and potassium; The relative quantification and normalization of the substances were carried out, and the corresponding relationship between the nutritional elements and levels and the label was established. The samples were divided into a calibration set and a verification set, and the calibration set nitrogen, phosphorus, and potassium nutritional status evaluation models were respectively established; the content of sensitive metabolites was obtained. , input the nutritional status evaluation model to judge its nutritional status. The invention can be used for early diagnosis of nutrition level, and the timeliness and detection accuracy are obviously improved.

Description

technical field [0001] The invention belongs to a method for characterizing the nutritional state of crops, in particular to a method for evaluating the nutritional state of crops in latent deficiency period by using sensitive metabolites. Background technique [0002] Traditional chemical analysis methods and manual experience detection have poor timeliness and are easily affected by subjective factors. At present, non-destructive testing technologies based on visual images, hyperspectral images, and visible-near-infrared spectroscopy are widely used in crop nutrition testing. The research of plant physiology and plant nutrition has proved that the formation process of crop tolerance to various stresses is from the plant level to the tissue level and then to the molecular level. It is a complex mechanism involving multiple strategies, multiple levels, and multiple links. Involves 5 levels: 10 surface macroscopic characteristics such as leaf color and texture; 20 microscopi...

AI Technical Summary

Problems solved by technology

However, the current commonly used methods are mainly aimed at the first four levels that are relatively easy to detect. Due to the limitations of the detection methods and methods, in the initial stage of crop nutrient stress, that is, the latent deficiency period, there is little difference in the spectrum and image information obtained. When two or more elements are lacking at the same time, there will be homogeneity and heterogeneity or homogeneity and heterogeneity. The appearance, color and texture of the crops are similar, and different apparent characteristics are coupled and interact with each other. The detection timeliness is poor and the accuracy is low.

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