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Monitoring Methods for Metcalfa pruinosa (Say) (Hemiptera: Flatidae) Eggs on Acacia Branches

아카시나무에서 미국선녀벌레 알의 조사방법

  • Choi, Yong-Seok (Chungnam Agricultural Research & Extension Services) ;
  • Whang, In-Su (Chungnam Agricultural Research & Extension Services) ;
  • Lee, Gyung-Ju (Chungnam Agricultural Research & Extension Services) ;
  • Na, Mi-Suk (Chungnam Agricultural Research & Extension Services) ;
  • Park, Deog-Kee (Chungnam Agricultural Research & Extension Services) ;
  • Seo, Hwa-Young (Chungnam Agricultural Research & Extension Services)
  • 최용석 (충남농업기술원 친환경농업과) ;
  • 황인수 (충남농업기술원 친환경농업과) ;
  • 이경주 (충남농업기술원 친환경농업과) ;
  • 나미숙 (충남농업기술원 친환경농업과) ;
  • 박덕기 (충남농업기술원 친환경농업과) ;
  • 서화영 (충남농업기술원 친환경농업과)
  • Received : 2018.08.20
  • Accepted : 2018.10.23
  • Published : 2018.12.01

Abstract

We surveyed branches of acacia trees distributed nationally in Korea to establish a common survey method that can be used by investigators to monitor for over-wintering Metcalfa pruinosa eggs. A total of 189 samples was examined, and the number of eggs on the surfaces of the branches, bases of thorns and bases of twigs was recored. When including samples in which no eggs were found at all investigation sites, none of the data followed the normal distribution. However, when samples in which no eggs were found at all sites were exclued, the density of eggs investigated at the thorn bases and twig bases followed the normal distribution. When the density of eggs was sorted based on the thickness of the branches on which they were found, these data did not follow the normal distribution. The density of M. pruinosa eggs at the thorn bases and twig bases was significantly higher than that on the branch surfaces, but there was no significant difference among branches of different thicknesses. Therefore, monitoring for M. pruinosa eggs at the thorn bases and twig bases of the nationally distributed acacia tree, irrespective of the thickness of the branches, will be able to increase the precision with which the density of this insect's eggs could be estimated. It is thus expected that this method will contribute to developing methods to better characterize the distribution and predict the occurrence of this.

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Fig. 1. Thorn base, twig base and branch surface of acacia trees and Metcalfa pruinosa eggs laid on the thorn base (A: acacia branch; B: magnified survey area of an acacia branch; C and D: an egg laid on the thorn base).

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Fig. 2. The densities of M. pruinosa eggs at different investigation sites on acacia branches. Different letters above error barss (standard deviation) indicate significant differences among means (LSD test, p < 0.05).

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Fig. 3. The densities of M. pruinosa eggs on branches of different thicknesses in acacia. Different letters above error bars (standard deviation) indicate significant differences among means (LSD test, p < 0.05).

Table 1. Statistics of the normal distribution when fit to data for all samples, including samples with densities of zero at all different investigation sites

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Table 2. Statistics of the normal distribution when fit to data for all samples, excluding samples with densities of zero at all different investigation sites

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Table 3. Statistics of the normal distribution when fit to data for all samples, including samples with densities of zero, with densities separated among different branch thicknesses

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Table 4. Statistics of the normal distribution when fit to data for all samples, excluding samples with densities of zero, with densities separated among different branch thicknesses

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Acknowledgement

Grant : 충청, 제주지역 돌발, 남방계 해충의 발생실태 및 피해조사

Supported by : 국립농업과학원

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