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An Empirical Model for the Prediction of the Onset of Upward-Movement of Overwintered Caccopsylla pyricola (Homoptera: Psyllidae) in Pear Orchards

배과원에서 꼬마배나무이 월동성충의 수상 이동시기 예측 모형

  • Kim, Dong-Soon (Faculty of Bioscience and Industry, College of Applied Life Science, Cheju Natl. Univ., The Research Institute for Subtropical Agriculture and Biotechnology) ;
  • Yang, Chang-Yeol (Horticultural Environment Division of National Horticultural Research Institute, RDA) ;
  • Jeon, Heung-Yong (Horticultural Environment Division of National Horticultural Research Institute, RDA)
  • 김동순 (제주대학교 생명자원과학대학 생물산업부, 아열대농업생명과학연구소) ;
  • 양창열 (농촌진흥청 원예연구소 원예환경과) ;
  • 전흥용 (농촌진흥청 원예연구소 원예환경과)
  • Published : 2007.12.30

Abstract

Pear psylla, Caccopsylla pyricola (Homoptera: Psyllidae), is a serious insect pest in pear orchards. C. pyricola overwinters as adults under rough bark scales of pear trees. When the weather warms up in the spring, the overwintered adults become active, climb up to the tree branches, and inhabit on fruit twigs to lay eggs. This study was conducted to develop a forecasting model for the onset of upward-movement of overwintered C. pyricola adults to control them by timely spraying of petroleum oil. The adult population densities were observed under rough barks (B) and on fruit twigs (T) of pear trees. Relative upward-movement rates (R) were calculated as T/(B+T). Low threshold temperatures for the activation of overwintered C. pyricola adults were selected arbitrarily from 5 to $9^{\circ}C$ at a $1^{\circ}C$ interval. Then, the days (D) when daily maximum air temperatures were above each low threshold temperature were counted from 1 February until to the dates with R $\geq$ 0.8. The same methods were applied for the prediction of the first observation of eggs. The variation of coefficients (CV) for the mean Des were lowest with the low threshold temperature of $6^{\circ}C$. At this selected threshold temperature, the upward movement of C. pyricola adults occurred with 12 D and they started laying eggs with 25 D. In the field validation, the model outputs with the $6^{\circ}C$ threshold temperature reasonably well explained the observed data in Suwon and Cheonan in 2002. Practical usages of the model were also discussed.

꼬마배나무이(Caccopsylla pyricola)는 배나무의 주요한 해충으로 배나무의 거친 껍질 밑에서 성충상태로 월동하는 해충이다. 봄철 날씨가 따뜻해지면 월동성충은 활동을 시작하여 나무 가지로 이동하고 단과지에 알을 낳는다. 본 연구는 기계유유제를 이용한 꼬마배나무이 월동성충 적기 방제를 위하여 월동해충이 나무위로 이동하는 시기를 예측하는 모형을 개발하고자 수행하였다. 봄철 배나무 거친 껍질 밑 및 수상 단과지에서 꼬마배나무이 월동성충 밀도를 조사하여, 성충의 상대적인 이동비율(단과지에서 상대적 발생비율)을 계산하였다. 임의로 $5\sim9^{\circ}C$까지 $1^{\circ}C$ 간격으로 꼬마배나무이 월동성충 활동에 필요한 하한온도를 선정하고 2월 1일부터 일별 최고온도 자료를 이용하여 상대적 이동비율이 0.8 이상 되는 날까지 각 하한온도를 초과하는 누적일수를 계산하고 비교하였다. 또한 같은 방법으로 꼬마배나무이 월동성충이 낳은 알 초발생일까지 누적일수를 계산하였다. 그 결과 하한온도를 6으로 했을 때 각 예측일까지 누적일수의 평균에 대한 변이 계수가 가장 낮았으며, 평균 누적일수가 12에 도달할때 월동성충의 이동이 일어났고, 25일 때 산란이 관측되었다. 이 조건의 모형 매개변수를 이용하여 수원 및 천안 지역에서 포장적합결과 모형 예측결과는 실측 이동시기를 잘 표현하였다. 기타 실제 농가포장에서 꼬마배나무이 월동성충 이동시기 예측모형의 활용방안에 대하여 고찰하였다.

Keywords

References

  1. Alden, A., and H. Seney, 1991: Integrated Pest Management for Apples and Pears. 214pp. University of California, Division of Agriculture and Natural Resources Publication 3340
  2. Arnold, C. Y., 1960: Maximum-minimum temperatures as a basis for computing heat units. Proceedings of American Society for Horticultural Science 76, 682-692
  3. Ahn, J. H., M. S. Kim, and D. S. Kim, 1996: Effects of photoperiod and temperature on formation and fecundity of two seasonal forms of psylla (Homoptera: Psyllidae). Korean Journal of Applied Entomology 35(3), 205-208. (in Korean with English abstract)
  4. Beers, E. H., J. H. Brunner, M. J. Willett, and G. M. Warner, 1993: Orchard Pest Management. 276pp. Good Fruit Grower, Yakima, Washington
  5. Burts, E. C., 1970: The pear psylla in Central Washington. Washington Agricultural Station Circular 516
  6. Follett, P. A., B. A. Croft, and P. H. Westigard, 1985: Regional resistance to insecticides in Psylla pyricola from pear orchards in Oregon. Canadian Entomologist 117(5), 565-573 https://doi.org/10.4039/Ent117565-5
  7. Higley, L. G., L. P. Pedigo, and K. R. Ostle, 1986: DEGDAY: a program for calculating degree-days, and assumptions behind the degree-day approach. Environmental Entomology 15(5), 999-1016 https://doi.org/10.1093/ee/15.5.999
  8. Jeon H. Y., D. S. Kim, M. R. Cho, M. S. Yiem, and Y. D. Chang, 2000: Recent status of major fruit tree pest occurrences in Korea. Journal of Korean Society for Horticultural Science 41(6), 607-612 (in Korean with English abstract)
  9. Kim D. S., M. R. Cho, H. Y. Jeon, M. S. Yiem, and J. H. Lee, 2000: Population trends and temperature-dependent development of pear psylla, Cacopsylla pyricola (Homoptera: Psyllidae). Korean Journal of Applied Entomology 39(2), 73-82 (in Korean with English abstract)
  10. Kim, D. S., and J. H. Lee, 2003: Oviposition model of overwintered adult Tetranychus urticae (Acari: Tetranychidae) and mite phenology on the ground cover in apple orchards. Experimental and Applied Acarology 31, 191-209 https://doi.org/10.1023/B:APPA.0000010385.00864.28
  11. Kim, D. S., Y. C. Yang, H. Y. Jeon, and M. S. Yiem, 2002: Survey for current status and occurring species of fruit tree pests. In Annual Report of NHRI (CD ROM version), RDA.
  12. Mustafa, T. M., and C. J. Hodgson, 1984: Observations on the effects of photoperiod on the control of polymorphism in Psylla pyricola. Physiological Entomology 9, 207-213 https://doi.org/10.1111/j.1365-3032.1984.tb00700.x
  13. Raworth, D. A., 1995: Estimation of degree-days using temperature data recorded at regular intervals. Environmental Entomology 23(4), 893-899
  14. Tomlin, C., 2003: The Pesticide Manual (13th ed.). British Crop Protection Council, Hampshire, UK

Cited by

  1. Establishment of Pest Forecasting Management System for the Improvement of Pass Ratio of Korean Exporting Pears vol.25, pp.2, 2012, https://doi.org/10.7852/ijie.2012.25.2.163