Cotton verticillium wilt disease phenotype identification method

A technology for cotton verticillium wilt and disease, which is applied in the agricultural field, can solve the problems of human error in identification results, slow onset speed, and complicated steps, and achieves the effects of precise machine vision, high precision and simple operation.

Active Publication Date: 2021-04-09
XINJIANG AGRI UNIV
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of directly watering the roots with the bacterial solution is slow and uneven
Wounded root inoculation is the most commonly used method. This method has a fast onset and relatively accurate identification results, but it requires high technical requirements, and the steps are cumbersome, time-consuming and labor-intensive.
At present, the common identification method of cotton Verticillium wilt resistance in China—the disease index method (Cotton pest resistance evaluation technical specification part 5: Verticillium wilt, GB/T22101.52009; A kind of cotton Verticillium wilt resistance seedling The identification method, CN201110081889.7), is based on the comprehensive judgment of the incidence and severity of the leaves, but if hidden symptoms appear in the cotton plants, the application of the disease index metho...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cotton verticillium wilt disease phenotype identification method
  • Cotton verticillium wilt disease phenotype identification method
  • Cotton verticillium wilt disease phenotype identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The technical solution of the present invention will be described in further detail below in conjunction with the embodiments.

[0029] The purpose of the present invention can be achieved through the following technical solutions:

[0030] Step 1. Seedling cultivation in non-woven fabric seedling bags

[0031] The cultivation conditions of cotton seedlings are:

[0032] In the light stage, the temperature is 24°C, the light time is 14h, and the light intensity is 20000Lux;

[0033] In the dark stage, the temperature is 20°C, the dark time is 10h, and the humidity is 85% throughout.

[0034] The damage of cotton seedlings inoculated with Verticillium dahliae in non-woven fabric seedling bags is as follows figure 1 shown.

[0035] The method of inoculating Verticillium dahliae to cotton seedlings is as follows: 2 cotyledons and 1 true leaf of cotton are flattened, and each main root or lateral root protruding from the non-woven fabric seedling bag is wounded. , plac...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a cotton verticillium wilt disease phenotype recognition method. The method comprises the following steps of 1, cultivating cotton seedlings in a non-woven fabric seedling raising bag; step 2, acquiring a canopy spectrum curve by utilizing a near-infrared multispectral technology; step 3, analyzing sensitive waveband correlation among different resistant varieties; step 4, establishing an estimation model according to the waveband combination; and step 5, obtaining a sensitive waveband corresponding to the disease grade. The method disclosed by the invention is low in destructiveness, simple to operate, labor-saving, high in inoculation success rate, uniform and consistent in morbidity and suitable for carrying out large-batch material identification work on vast scientific research workers, the bottoms of the nutrition pots do not need to be cut off, and the accuracy is higher than that in the prior art.

Description

technical field [0001] The invention belongs to the technical field of agriculture, and relates to a method for identifying the occurrence phenotype of cotton verticillium wilt disease, in particular to a rapid phenotype identification method for evaluating the occurrence severity of cotton verticillium wilt disease by using near-infrared multi-spectral technology. Background technique [0002] Xinjiang has become the largest cotton production base in my country. The total cotton production accounts for more than 80% of the country's total. Xinjiang's cotton production is directly related to the country's cotton supply and food security. Verticillium wilt is one of the seven major soil-borne diseases in the world. It has the characteristics of wide distribution, serious damage and strong infection. It is extremely difficult to cure and is called "cotton cancer". At present, it is recognized internationally that planting disease-resistant varieties is the most economical and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01N21/359G01N21/3563C12Q1/18C12R1/645G06F30/20A01G22/50A01G7/06A01G9/029
CPCG01N21/359G01N21/3563C12Q1/18G06F30/20A01G22/50A01G7/06A01G9/0291Y02A40/10
Inventor 曲延英邓亚辉陈巧玲陈全家梁亚军武红旗顾爱星陈琴郑凯宁硕龚照龙
Owner XINJIANG AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products