矢尖蚧

矢尖蚧（UnaspisyanonensisKuwana）是柑桔上重要的害虫之一。

Unaspis yanonensis Kuwana is one of the most important pests in citrus .

柑桔矢尖蚧空间格局及抽样技术研究

Spatial pattern of Unaspis Yanonensis citri and its sampling techniques

结果表明：1.运用零频率估值法，矢尖蚧二龄雌虫和雌成虫用Gerrard公式和Iwao公式所配理论曲线的预测值与实测值均显著适合；

Results are as follows : 1.By using the zero frequency method , comparing calculating population density of the theoretical curves from Gerrard and Iwao 's formulas with practical one , it is found that the relationship between them is suitable for the second & instar and adult females .

矢尖蚧及其主要天敌空间格局研究

The spatial patterns of arrowhead scale and its natural enemies

卫矛矢尖蚧空间分布型的研究

Study on the spatial distribution pattern of unaspis Euonymi

毒死蜱防治柑桔矢尖蚧试验柑桔园矢尖蚧化学防治策略

On the chemical control strategies of arrowhead scale unaspis yanonensis in Citrus Garden

柑桔矢尖蚧生命表研究

Studies on Life Tables of Unaspis Yanonensis

一只末龄幼虫日取食矢尖蚧雄虫20－30只。

A last-instar larva can prey on 20-30 male larvae of arrowhead scale in a day .

柑桔矢尖蚧一代幼蚧发生期数理统计预测

Some mathematical methods for forecasting the occurrence time of first generation larvae of Citrus arrowhead scale

卫矛矢尖蚧一龄若虫种群扩散规律的模糊聚类分析

Studies on the spreading rule of first instar nymph population of unaspis Euonymi with fuzzy cluster method

矢尖蚧二龄雌虫和雌成虫均以上段、南方树冠的聚集程度最大。

The aggregating intensity of the second-instar and adult females are both largest on the south and upper leaves .

本文应用8个聚集性指标测算了卫矛矢尖蚧越冬代成虫及1龄若虫的空间分布型。

Eight indices of aggregation are used to calculate the spatial distribution pattern of overwintered generation adults and first-instar nymphs of Unaspis euonymi .

矢尖蚧第一代幼蚧初见日及适宜防治时间与气象条件的关系

Relationship Between the Meteorological Condition and the Date of the Earliest Occurence of First Generation Larvae of Arrowhead Scale or the Suitable Time for Spray

本文对福建省柑桔矢尖蚧的天敌种类进行了调查，发现有寄生性天敌6种、捕食性天敌5种。

Based on the field investigation on natural enemies of the arrowhead scale in Fujian Province from 1987 to 1998 , 6 parasitoids and 5 predators are found .

利用19771992年共16年的资料，从13月的23个气象因子中，通过相关分析和逐步变量选择，筛选出5个与矢尖蚧一代幼蚧发生期紧密相关的预报因子。

Based on the data from 1977 to 1992 and by applying multi-factorial and contingency table analyses , five key factors were selected from 23 meteorological elements ( Jan. to Mar. )