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Early prediction method for invasion quantity of platycladus orientalis bark beetles based on GC-IMS

A technology of GC-IMS, Beetle, applied in prediction, measurement device, data processing application, etc., to achieve good repeatability

Pending Publication Date: 2022-03-29
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, there is no report on the detection of the number of Thuja arborvitae invaded by T. arborvitae by GC-IMS

Method used

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  • Early prediction method for invasion quantity of platycladus orientalis bark beetles based on GC-IMS
  • Early prediction method for invasion quantity of platycladus orientalis bark beetles based on GC-IMS

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Embodiment

[0022] In order to clearly illustrate the problems and technical advantages solved by the present invention, further description will be made below in conjunction with the drawings and embodiments. A GC-IMS-based method for early prediction of the number of invasions by T. arborvitae by the bark beetle, specifically comprising the following steps:

[0023] (1) Select 80 healthy and non-damaged Arborvitae plants as the test objects, divide them into 4 groups of samples of Arborvitae to be tested, 20 plants in each group, and artificially inoculate 10 of the 3 groups of Arborvitae samples to be tested , 20 and 30 adults of Bark beetle, and the remaining 1 group was not treated as the control group.

[0024] (2) Volatile matter collection: A 100cm×80cm Teflon bag was used to cover the part above the soil of arborvitae, and an air pump was used to blow in clean air and tie it tightly at the same position of the bag mouth to ensure that the total volume of the enclosed space was th...

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Abstract

The invention discloses a GC-IMS (Gas Chromatography-IP Multimedia Subsystem)-based early prediction method for the invasion quantity of oriental arborvitae bark beetles. Healthy and damage-free platycladus orientalis plants are selected, different quantities of adult platycladus orientalis are inoculated to different platycladus orientalis samples, and volatile matter collection and GC-IMS detection are performed after a period of time. A multi-linear principal component analysis method is adopted to carry out characteristic parameter extraction on GC-IMS data, the number of characteristics is optimized through cross validation, and finally a partial least square model of the platycladus orientalis GC-IMS characteristic parameters and the invasion number of the platycladus orientalis bark beetles is established. The partial least squares regression model is applied to early prediction. By means of the method, early prediction of the number of the platycladus orientalis invaded by the platycladus orientalis can be achieved, complex pretreatment operation is not needed, repeatability is good, the platycladus orientalis plants are not damaged in the detection process, and a new method is provided for early warning of forest trunk borers.

Description

technical field [0001] The invention relates to the field of non-destructive detection of plant diseases and insect pests, in particular to a method for predicting the number of invasions of Thuja arborvitae by the bark beetle based on Gas Chromatography-Ion Mobility Spectroscopy (GC-IMS). Background technique [0002] Arborvitae is an evergreen tree of the genus Arborvitae in the family Cupressaceae. As a common urban greening plant, it is widely distributed in various provinces in China. However, arborvitae is very susceptible to the infestation of stem-boring pests such as cedar beetle and double-striped beetle. The feeding behavior of cedar beetle is hidden and difficult to be found from the appearance, and its food on the phloem of arborvitae often causes Large areas of trees withered or even died. The early prediction of the number of arborvitae being invaded by the bark beetle can provide guidance for the prevention and control of forest pests, and then reduce the fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/622G01N30/02G01N30/72G06K9/62G06Q10/04G16C20/70
CPCG01N27/622G01N30/02G01N30/72G06Q10/04G16C20/70G06F18/2135G06F18/214
Inventor 王俊郑成宇王永维韦真博
Owner ZHEJIANG UNIV
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