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

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 method for predicting the occurrence of tree insect pests and its prevention and control, in particular to a method for predicting the occurrence of the main pest harmful to ginkgo trees, the ginkgo supersmall leaf roller, and its application. Background technique [0002] Ginkgo biloba superminita is the main pest of fruiting trees in ginkgo producing areas. It occurs one generation a year, eats the short branches or the tender stems of the growing branches with larvae, and causes the dead short branches to die, the fruit to fall off, the long branches and tender stems to wither, and the damaged short branches will no longer germinate in the second year, seriously affecting the yield of ginkgo fruit. [0003] The eggs of Ginkgo super small leaf tortrix (0.7-0.9mm in length and 0.5-0.6mm in width) are scattered on 1-2 year-old twigs, and the larvae are only 1.3mm in length, which are difficult to find. Prediction can be made ...

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.

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