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Method for detecting magnaporthe grisea spore based on microscopic image analysis

A microscopic image and rice blast fungus technology, applied in the field of rice blast detection, can solve problems such as difficult image processing and unclear boundary information

Active Publication Date: 2015-05-27
SOUTH CHINA AGRI UNIV
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Problems solved by technology

[0006] Usually, when the spores of Magnaporthe grisea are manually counted under a microscope, the magnification is 10×10. At this time, the middle part of the spores is transparent and only contains boundary information. Sometimes the boundary information is not clear, which brings great difficulties to image processing.

Method used

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  • Method for detecting magnaporthe grisea spore based on microscopic image analysis
  • Method for detecting magnaporthe grisea spore based on microscopic image analysis
  • Method for detecting magnaporthe grisea spore based on microscopic image analysis

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Embodiment 1

[0056] Such as figure 1 As shown, the method for detecting rice blast fungus spores in this embodiment includes the following steps:

[0057] 1. Preparation of spore suspension

[0058] Obtain multiple monospore isolation and culture strains (from Guangdong indica rice varieties). After the monospore isolation and culture strains are cultured in a test tube containing yeast starch medium for 7-10 days, they will be transferred to corn kernel medium and expanded for 10-13 days. If the silk is overgrown with corn kernels, use sterile water to wash away the hyphae on the surface of the corn kernels. Place the corn kernels in a sterilized enamel tray (size 25×19×2cm), cover a layer of wet gauze on the enamel tray, and place it on a fluorescent lamp. Cultivate for 3 to 4 days under the light; wash the spores attached to the corn kernels with sterile water, filter the corn residue with two layers of fine gauze; then dilute with water to prepare spore suspensions of different concentratio...

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Abstract

The invention discloses a method for detecting a magnaporthe grisea spore based on microscopic image analysis. The method comprises the following steps: obtaining a spore microscopic image in the spore suspension solution by a magnaporthe grisea spore image detecting system; processing the spore microscopic image by using the image illumination adjustment, the median filtering, the edge detection and the morphological algorithm, and extracting a microscopic image containing the spore by combining with the shape characteristic parameters; separating the adhesion spores by using an improved watershed algorithm to realize the spore detection and quantitative statistics in the microscopic image. By adopting the method for detecting the magnaporthe grisea spore, the number of the magnaporthe grisea spore can be rapidly, accurately and automatically detected, the technical assistance for the indoor resistance identification of the magnaporthe grisea is provided and the technical reference for automatically monitoring the magnaporthe grisea in the fields is also provided.

Description

Technical field [0001] The invention relates to a method for detecting spores of rice blast fungus, in particular to a method for detecting spores of rice blast fungus based on microscopic image analysis, and belongs to the technical field of rice blast detection. Background technique [0002] Breeding and planting resistant varieties are effective measures for the prevention and control of rice blast. In the indoor resistance identification of rice blast, the number of spores in the bacterial suspension is an important factor affecting the results of resistance identification. When the number of spores in the suspension is not When the inoculation requirements are met, the resistance level of rice varieties will be incorrectly evaluated; in addition, the occurrence of rice blast and the severity of the disease are closely related to the number of pathogens (conidia) in a certain area. Therefore, the study of rapid and accurate detection methods for rice blast fungus spores is of...

Claims

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Application Information

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IPC IPC(8): C12Q1/06G06K9/54C12R1/645
Inventor 齐龙蒋郁谭永炘赵柳霖芦玉龙
Owner SOUTH CHINA AGRI UNIV
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