Prediction and forcasting method of occurrence of Pammene ginkgoicola Liu, and application thereof

A technology of ultra-small leaf rollers and ultra-small rolls, which is applied in horticultural methods, botanical equipment and methods, applications, etc., can solve the problems of weak phototaxis of adults, inability to predict the range and amount of occurrence, and unsuitable forecasting and forecasting. Professional facilities, direct and accurate prediction of occurrence time, and good economic benefits

Inactive Publication Date: 2012-12-19
郭祝春
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Adults have weak phototaxis, and basically do not move at night, and the method of luring adults with lights is not suitable for forecasting
In the past, the phenology method was used in production, and the control was carried out one week after ginkgo pollination. This method is affected by the prediction results of the pollination date, and the prediction and forecast in production is passive. In addition, this method cannot predict the occurrence range and amount.

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
  • Prediction and forcasting method of occurrence of Pammene ginkgoicola Liu, and application thereof
  • Prediction and forcasting method of occurrence of Pammene ginkgoicola Liu, and application thereof
  • Prediction and forcasting method of occurrence of Pammene ginkgoicola Liu, and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] 1. Select standard ground and standard plant: According to the different areas where ginkgo trees grow, standard ground is established according to 3%-5% of the total area. The standard ground selected in a certain area should be representative in this area, and the standard ground will bear fruit. There are no less than 100 trees, and the standard plants are selected according to the proportion of about 5-10% in the standard land, and the serial numbers (1.2.3.4...) are marked according to the number of selected plants, and observation, investigation and statistics are carried out.

[0028] Selection criteria: (1) In a certain administrative area where ginkgo trees grow, it is necessary to take into account the east, west, north and south. (2) Considering the occurrence degree of Ginkgo biloba super small leaf roller in previous years, avoiding the fragile ecological environment of individual and the occurrence of particularly serious "insect source areas", the degree o...

Embodiment 2

[0054] In 2011, there were 300 mu of fruit-bearing ginkgo trees in Guxi Village, Taixing, Jiangsu Province, 10 mu (100 trees) of standard land were selected according to 3%~5%, 10 standard trees were selected according to regulations, and the total surface area of ​​the 10 trees in the observation area was 11.7m 2 . The statistical table of pupa shells day by day is as follows:

[0055] Table 3 Statistics on the number of pupal shells after the emergence of Ginkgo biloba super small leaf curler in 2011

[0056]

[0057] 1. Prediction:

[0058] 1) Occurrence period:

[0059] From the above table, the cumulative number of pupa shells accounted for 16.0% of the total number of pupa shells on April 3, the closest to 15%, which was the peak of emergence; 50%, which is the peak period of eclosion; on April 11, the cumulative number of pupal shells accounted for 87.3% of the total number of pupa shells, the closest to 85%, which was the peak of eclosion.

[0060] On April 8, 2...

Embodiment 3

[0068] In 2012, the ginkgo trees in front of the house and behind the house in Huangqiao Qianjin Village, Taixing, Jiangsu Province, adopted the "W" (front-house-back-house-front-back) sampling method to select 10 standard plants, and the 10 standard plants were observed in the area of ​​the tree surface area. and S 总 9.3m 2 ; Statistics of chrysalis shell by plant day by day: the first chrysalis shell was found on March 28, the last chrysalis shell was found on April 18, and the total number of chrysalis in the observation area of ​​the standard plant trunk epidermis was accumulated Y 总 198, April 5 y 累 / Y 总 =15.6%, closest to 15%; April 10 Y 累 / Y 总 =53.0%, closest to 50%; April 13 Y 累 / Y 总 =84.1%, the closest to 85%.

[0069] 1. Prediction:

[0070] 1) Occurrence period:

[0071] April 5th is the peak period of adult emergence, April 10th is the peak period of adult emergence, and April 13th is the peak period of adult emergence; April 10th, 2012, the average daily ...

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 prediction and forcasting method of occurrence of Pammene ginkgoicola Liu and an application of the prediction and forcasting method. The prediction and forcasting method comprises the following steps: setting a standard field that is 3% to 5% of the total area of the ginkgo growing area, selecting standard strains; marking observation areas on outer coverings of tree trucks of the standard strains, measuring and calculating the tree surface areas of the observation areas; recording the number of puparium of Pammene ginkgoicola Liu of the observation areas on the outer coverings of the tree trucks of the standard strains one by one day by day in an eclosion period; determining the three dates when the recorded standard strain accumulated puparium numbers in the standard fields are most close to 15%, 50% and 85% in a total puparium number, to be an eclosion period prosperity starting stage, an eclosion period peak stage and an eclosion period prosperity endingstage; predicting a larva harm peak area according to the eclosion period peak stage; accumulating the puparium number and determining larva density according to the surface area of unit tree in the observation areas of the outer coverings of the tree trucks, predicting the occurrence range and the occurrence degree. The prediction and forcasting method of occurrence of Pammene ginkgoicola Liu isused for preventing and treating; is convenient and practicable, exact and complete; saves materials and energy, needs no professional facilities, is green and environment-friendly, and is beneficialfor the popularization in ginkgo producing areas.

Description

technical field [0001] The invention relates to a forecasting and forecasting method and control for the occurrence of tree pests, in particular to a forecasting and forecasting method and application of the occurrence of Ginkgo biloba, a major pest that harms ginkgo trees. Background technique [0002] Ginkgo biloba leaf roller moth is the main pest of fruit trees in ginkgo producing areas. It occurs one generation a year, and the larvae eat the short branches or the young shoots of the current year, causing the short branches to die, the fruit to fall off, the long branches and tender stems to wither, and the damaged short branches to not germinate in the second year, which seriously affects the yield of ginkgo. [0003] The eggs (0.7~0.9mm in length, 0.5~0.6mm in width) of Ginkgo biloba leaf rollers are scattered on 1-2 year old twigs, and the larvae are only 1.3mm in length, which are not easy to find. Prediction by observing eggs and larvae Difficulty forecasting. The...

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
Patent Type & Authority Applications(China)
IPC IPC(8): A01G13/00A01G7/00
Inventor 郭祝春李金华印福女林飞虎张华俊
Owner 郭祝春
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