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Modeling method for prediction model of cadmium content in vegetables and application thereof

A predictive model and modeling method technology, applied in the fields of agriculture and the environment, can solve problems such as difficulty in constructing soil-crop system enrichment model relationship, lack of accurate judgment and quantitative analysis of soil heavy metal migration, lack of integrity and systemicity, etc.

Inactive Publication Date: 2019-01-04
GUANGDONG PROVINCIAL ACADEMY OF ENVIRONMENTAL SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the existing heavy metals involved in the crop-soil system are limited to the micro-area of ​​the mining area or the limited area of ​​the pot experiment, and there is a lack of integrity and systematic research on the relationship between the soil environmental quality of the production area and the heavy metals in crops and its mechanism in the field environment Most of the research on the migration and transformation of heavy metals in the environment of the production area is still limited to a single or limited influencing factor. There is a lack of accurate judgment and quantitative analysis of the migration of heavy metals in soil, and it is difficult to build a soil-crop system enrichment model based on heavy metal pollution. relation

Method used

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  • Modeling method for prediction model of cadmium content in vegetables and application thereof
  • Modeling method for prediction model of cadmium content in vegetables and application thereof
  • Modeling method for prediction model of cadmium content in vegetables and application thereof

Examples

Experimental program
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Effect test

Embodiment 1

[0079] Example 1 The modeling method of the cadmium content prediction model in vegetables

[0080] Such as figure 1 As shown, the modeling method of the vegetable heavy metal content prediction model provided by the present invention. specifically is:

[0081] S1. Collect soil and vegetable samples.

[0082] In order to avoid interference from man-made pollution sources, the sampling points are generally far away from cities and industrial areas, and are generally large-scale basic farmland protection areas or vegetable bases. When sampling, use GPS to locate the latitude and longitude (see figure 2 ). A total of 112 pairs of soil and vegetable one-to-one samples were collected.

[0083]The soil samples are all rhizosphere soil samples of the surface layer 0-20cm, and the vegetable (choy sum) samples are all mature vegetable samples, and correspond to the soil samples one by one. Freshly collected soil and vegetable samples were placed in ziplock bags and processed with...

Embodiment 2

[0113] Cadmium content prediction in embodiment 2 vegetables

[0114] The present invention also provides a method for predicting cadmium content in vegetables, the method comprising the following steps:

[0115] 1) Collect the soil of the growing place of the vegetable sample to be tested;

[0116] Soil samples are rhizosphere soil samples from the surface layer 0-20cm. For the samples used in the prediction of cadmium content in vegetables in this embodiment, Chinese cabbage is 14 pairs, and lettuce is 12 pairs. Refer to Example 1 for specific sampling steps and sample pretreatment.

[0117] 2) Collect vegetable samples required for effect verification. The required vegetable (choy sum and lettuce) samples are all mature vegetable samples, and correspond to the soil samples one by one, and the collection quantity is consistent with the soil samples collected in step 1). Concrete sampling steps and sample pretreatment refer to embodiment 1.

[0118] 3) Determination of C...

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Abstract

The invention belongs to the field of agriculture and environment, and relates to a modeling method for a prediction model of the cadmium content in vegetables and application thereof. The modeling method comprises the following steps that a soil sample is collected, the iron-extractable (FeDCB-soil) content of sodium hydrosulfite-trisodium citrate-sodium bicarbonate (DCB) in soil, the cadmium-extractable (Cdoxalate-soil) content of oxalic acid / ammonium oxalate (Oxalate) and the aluminum-extractable (AlNaoac-soil) content of acetic acid / sodium acetate (NaOAc) in the soil are measured, and a model relationship among the content of FeDCB-soil, Cdoxalate-soil and AlNaoac-soil and the content of vegetable cadmium (Cdplant) is established. The formula of the established model is shown in the formula. The model is suitable for the prediction of the cadmium content of the vegetables in the soil, can improve the prediction accuracy of the cadmium content of the vegetables, and provide reference for vegetable safety production layout.

Description

technical field [0001] The invention belongs to the field of agriculture and environment, and relates to a modeling method and application of a cadmium content prediction model in vegetables. Background technique [0002] Cadmium is a non-essential toxic heavy metal that can accumulate in organisms. It mainly exists in zinc ore and phosphate fertilizers. It is widely used in industries such as electroplating, pigments, plastic stabilizers, and nickel-cadmium batteries. Or municipal waste and other forms are discharged into the environment, causing serious pollution to urban suburbs and agricultural soil. Vegetables are the second largest diet for residents in the southern region after rice. When grown in cadmium-contaminated soil, excessive cadmium will accumulate in the vegetables, which will affect the growth and quality of vegetables. Long-term consumption of such vegetables will also damage the Humans pose a significant cumulative risk. On the one hand, the southern re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/02G01N33/24G01N21/73G01N21/74G01N27/64
CPCG01N21/73G01N21/74G01N27/64G01N33/025G01N33/24G01N2201/1247G01N2201/129G01N33/245
Inventor 常春英肖荣波邓一荣李智山董敏刚
Owner GUANGDONG PROVINCIAL ACADEMY OF ENVIRONMENTAL SCI
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