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A method for predicting the occurrence of hickory tree trunk rot based on discriminant analysis

A discriminant analysis method, hickory tree technology, applied in forecasting, data processing applications, instruments, etc., can solve problems that are rarely involved in disease prediction

Active Publication Date: 2021-07-27
杭州市林业科学研究院
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Problems solved by technology

[0008] However, the above methods mainly focus on the prevention and treatment of diseases, but rarely involve in the prediction of disease occurrence.

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  • A method for predicting the occurrence of hickory tree trunk rot based on discriminant analysis

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Embodiment 1

[0038] A method based on discriminant analysis to predict the occurrence of hickory tree trunk rot, the concrete steps are as follows:

[0039] 1. Collection of data information: select the hickory tree sample used to construct the discriminant analysis model, collect the soil sample of the hickory tree in the dormant period, and obtain 15 index data information such as pH of the soil, alkaline nitrogen content; according to the following The incidence of hickory tree trunk rot in one year, the data information is divided into two types of incidence and no incidence;

[0040] (1) In December 2016, after pecans entered the dormant period, 100 pecans were selected as samples for constructing a discriminant analysis model; 42 of them were pecans cultivated on red loam, and 36 22 are hickory trees grown on limestone soil.

[0041] On the ground within the crown width of each hickory single plant, randomly select 5 sampling points, collect the soil samples of the 0-20cm soil layer...

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Abstract

The invention discloses a method for predicting the occurrence of hickory tree trunk rot based on a discriminant analysis method. The method comprises: selecting a hickory tree sample, collecting a soil sample, obtaining the pH of the soil in the dormant period, the content of alkaline nitrogen and the content of available potassium Ratio; record the incidence of dry rot in the next year; take the onset and non-onset as the discrimination type, the soil data as the training set, and the ratio of pH, alkaline nitrogen content and available potassium content as the model parameters to establish a discriminant analysis model; The predicted hickory tree soil pH and the ratio of alkaline nitrogen content to available potassium content are imported into the model to predict whether the hickory tree will have dry rot in the next year. The present invention relies on the discriminant analysis method, has found the index parameter that has greater correlation with hickory tree trunk rot, that is: the ratio of pH and alkaline hydrolysis nitrogen content and available potassium content, and utilizes the prediction model that these two parameters obtain , the prediction accuracy rate is over 80%.

Description

technical field [0001] The invention relates to the technical field of plant disease prevention and control, in particular to a method for predicting the occurrence of hickory tree trunk rot based on a discriminant analysis method. Background technique [0002] Hickory nut (Carya cathayensis) is a unique woody oil tree species in my country. Its fruit tastes crisp and nutritious, and can be processed into snack food and edible oil, with high economic value. Hickory is a deciduous tree species, the annual growth period is from March to November, and the dormancy period is from December to February of the next year. [0003] In recent years, pecan dry rot has occurred in a large area, which has caused huge economic losses to farmers and has also brought a serious threat to the pecan industry. Dry rot, also known as canker, is caused by the infection of tree trunks by Botryosphaeria spp. fungi; , the lesion area expands, and eventually the hickory plant dies. The annual onse...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 董建华赵伟明袁紫倩胡俊靖李皓叶立前陈岗
Owner 杭州市林业科学研究院
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