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Method for predicting pecan trunk rot

A technology for pecan dry rot and pecan tree, which is applied in the directions of measuring device, preparation of test samples, material analysis by observing the influence on chemical indicators, etc., and can solve the prediction problem of pecan dry rot incidence See literature reports, the pathogenic mechanism of pecan dry rot has not been clearly established, etc.

Pending Publication Date: 2021-07-13
杭州市林业科学研究院
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Problems solved by technology

[0007] However, the pathogenic mechanism of hickory dry rot has not been clearly determined, and the prediction of the incidence of hickory dry rot has not been reported in the literature.

Method used

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  • Method for predicting pecan trunk rot
  • Method for predicting pecan trunk rot
  • Method for predicting pecan trunk rot

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Embodiment Construction

[0024] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] A method for predicting hickory tree trunk rot, specifically comprising the steps of:

[0026] S1. Collect hickory tree trunk bark and perform histochemical localization staining to prepare sections.

[0027] Firstly, according to the total soluble sugar (SS) content, soluble protein (SP) content, total flavonoid (TF) content, total phenolic (TP) content, DPPH Free radical scavenging capacity (DPPH) and disease-susceptible grades were used to determine the orientation and height of the most susceptible hickory tree trunks. ...

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Abstract

The invention discloses a method for predicting pecan trunk rot. The method comprises the following steps: collecting pecan trunk bark, and dyeing by a histochemical positioning method to obtain slices; extracting RGB data of the slices; taking the RGB data as an input parameter of the pecan dry rot prediction model, and taking whether the pecan is infected or not as an output parameter; preventing and treating the infected diseased plants, and avoiding the large-scale incidence of the dry rot of the pecans. According to the prediction method disclosed by the invention, the occurrence of the dry rot of the hickory nut can be accurately predicted based on the histochemical localization of carbohydrates and proteins of the peridermis, the cortex and the phloem of the hickory nut in different directions and at different heights and the partial least square support vector machine model of the RGB color space.

Description

technical field [0001] The invention relates to the technical field of hickory planting, in particular to a method for predicting hickory tree trunk rot. Background technique [0002] Pecan is a unique economic tree species in China. Its fruit not only has high nutritional value, but also is a tonic with the same source of medicine and food. Hickory trees are greatly affected by diseases, especially hickory dry rot, which has a long incubation period, short disease cycle, rapid disease development, and is difficult to treat in time, seriously affecting the yield of hickory, which has always been a concern of fruit farmers. [0003] Dry rot, also known as canker disease, ink disease, ink disease, is caused by weak parasitic bacteria, which is generally harmful to plants (especially woody plants), and causes a large amount of economic losses worldwide every year. The severity of dry rot is related to many factors, such as Management of citrus canker in argentina, a success st...

Claims

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Application Information

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IPC IPC(8): G01N21/78G01N1/06G01N1/36G01N1/31
CPCG01N21/78G01N1/06G01N1/36G01N1/31G01N2001/366
Inventor 胡俊靖潘利峰李皓董建华袁紫倩陈岗吴纪良陈丽华雷亦晨
Owner 杭州市林业科学研究院
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