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쌀 저장창고에서 어리쌀바구미와 화랑곡나방 밀도 추정을 위한 축차추출 조사법 (Sequential sampling plans) 개발

Developing Sequential Sampling Plans for Evaluating Maize Weevil and Indian Meal Moth Density in Rice Warehouse

  • 남영우 (고려대학교 생명과학대학 환경생태공학부) ;
  • 천용식 (고려대학교 생명과학대학 환경생태공학부) ;
  • 류문일 (고려대학교 생명과학대학 환경생태공학부)
  • Nam, Young-Woo (Division of Environmental Science and Ecological Engineering, Korea University) ;
  • Chun, Yong-Shik (Division of Environmental Science and Ecological Engineering, Korea University) ;
  • Ryoo, Mun-Il (Division of Environmental Science and Ecological Engineering, Korea University)
  • 발행 : 2009.03.30

초록

본 연구의 목적은 쌀 저장창고에서 추출기를 이용하여 해충의 밀도를 추정하기 위한 축차추출법을 개발하는데 있다. 쌀 저장창고에서는 쌀을 주로 1톤의 톤백에 저장하는데, 현미로 저장되는 경우 어리쌀바구미 성충과 화랑곡나방 유충은 모두 부의 이항분포를 보였다. 축차추출법은 표본 추출 단위당 방제 시작 밀도를 0.1(현미 1 kg당 5마리), 비처리 밀도를 0.05(현미 1 kg당 2.5마리) 그리고 I($\alpha$), II형($\beta$) 오류를 0.3으로 설정하여 순차적 확률비 검정(sequential probability ratio test (SPRT))을 통해 개발하였다. 이러한 결과들은, SPRT법을 사용함으로써, 관리자들이 단지 20회의 표본 추출로도 잘못된 판단의 위험을 최소화하면서 의사결정을 할 수 있다는 것을 보여준다.

This paper presents sequential sampling plans for evaluating the pest density based on complete counts from probe in a rice storage warehouse. Both maize weevil and Indian meal moth population showed negative binomial dispersion patterns in brown rice storage. For cost-effective monitoring and action decision making system, sequential sampling plans by using the sequential probability ratio test (SPRT) were developed for the maize weevil and Indian meal moth in warehouses with 0.8 M/T storage bags. The action threshold for the two insect pests was estimated to 5 insects per kg, which was projected by a matrix model. The results show that, using SPRT methods, managers can make decisions using only 20 probe with a minimum risk of incorrect assessment.

키워드

참고문헌

  1. Bates, B.A., M.J. Weiss, R.B. Carlson and D.K. McBride 1991. Sequential sampling plan for Limothrips denticornis (Thysanoptera: Thripidae) on spring barley. Econ. Entomol. 84: 1630-1634 https://doi.org/10.1093/jee/84.5.1630
  2. Caswell, H. 2001. Matrix Population Models, Construction, Analysis, and Interpretation, 2nd Ed. Sinauer, Sunderland MA
  3. Davis, P.M. 1994. Statistics for describing populations. In: Pedigo, L.P., Buntin, G.D. (Eds.), CRC Handbook of Sampling Methods for Arthropods in Agriculture. CRC Press, Boca Raton, Floida, pp. 33-54
  4. Dunning, T.. 1993. Accurate Methods for the Statistics of Surprise and Coincidence. Computational Linguistics. 19(1): 61-74
  5. Fowler, G.W. and A.M. Lynch 1987. Sampling plans in insect pest management based on Wald's sequential probability ratio test. Environ. Entomol. 16: 345-354 https://doi.org/10.1093/ee/16.2.345
  6. Hagstrum, D.W., G.A. Milliken and M.S. Waddell. 1985. Insect distribution in bulk-stored wheat in relation to detection or estimation of abundance. Environ. Entomol. 14: 655-661 https://doi.org/10.1093/ee/14.6.655
  7. Hodges, R.J., H. Halid, D.P. Rees, J. Meik and J. Sarjono. 1985. Insect traps tested as an aid to pest management in milled rice stores. Stored Prod. Res. 21: 215-219 https://doi.org/10.1016/0022-474X(85)90018-9
  8. Ji, J. 2002. Influence of two specialized parasitoids on the interspecific competition between rice weevil and Indian meal moth on brown rice. Thesis for the degree of master of science. Korea University. pp. 10-32
  9. Nault, B.A. and G.G. Kennedy. 1996. Sequential sampling plans for use in timing insectcide applications for control of European corn borer (Lepidoptera: Pyralidae) in potato. Econ. Entomol. 89: 1468-1476 https://doi.org/10.1093/jee/89.6.1468
  10. Pedigo, L.P., G.D. Butin and E.J. Bechinski. 1982. Flushing technique and sequential-count plan for Green cloverworm (Lepidoptera: Noctuidae) months in soybeans. Environ. Entomol. 11: 1223-1228 https://doi.org/10.1093/ee/11.6.1223
  11. Ruesink, W.G. and M. Kogan. 1982. The quantitative basis of pest management: sampling and measuring. In Introduction to Insect Pest Management. R.L. Metcalf and W.H. Luckmann (eds.), pp. 315-352. Wiley, New York
  12. Sterling, W.L. 1975. Sequential sampling of cotton insect populations. In Proceedings of the Beltwide Cotton Production and Research Conference, pp. 133-135. National Cotton Council of America, Memphis, Tennessee
  13. Subramanyam, B.H. and D.W. Hagstrum and T.C. Schenk. 1993. Sampling adult beetles associated with stored grain: Comparing detection and mean trap catch efficiency of two types of probe traps. Environ. Entomol. 22: 33-42 https://doi.org/10.1093/ee/22.1.33
  14. Subramanyam, B.H. and D.W. Hagstrum. 1995. Sampling, pp. 135-193. In Integrated Management of Insects in Stored Products. Subramanyam, B.H.. and D. W. Hagstrum. (eds.), Marcel Dekker, Inc., New York
  15. Subramanyam, B.H., D.W. Hagstrum, R.L. Meagher, E.C. Burkness, W.D. Hutchison and S.E. Naranjo. 1997. Development and evaluation of sequential sampling plans for Cryptoestes ferrugineus (Stephens) (Coleoptera: Cucujidae) infesting farm-stored wheat. Stored Prod. Res. 33: 321-329 https://doi.org/10.1016/S0022-474X(97)00014-3
  16. Toews, M., B.H. Subramanyam and R. Roesli. 2003. Development and validation of sequential sampling plans for Sitophilus species associated with pet speciality stores. In: Credland, P.F., Armitage, D.M., Bell, C.H., Cogan, P.M., Highley, E. (Eds.), Advances in Stored Product Protection. Proceedings of the 8th International Working Conference on Stored Product Protection, 22-26 July. CABI International, New York, UK, pp. 115-120
  17. Wald, A. 1945. Sequential test of statistical hypotheses. Ann. Math. Stat. 16: 117-186 https://doi.org/10.1214/aoms/1177731118
  18. Waters, W.E. 1955. Sequential sampling in forest insect surveys. Forest Sci. 1: 68-79

피인용 문헌

  1. Fumigant Toxicity and the Repellent Effect of Essential Oils against Sitophilus zeamais Motschulsky vol.51, pp.4, 2012, https://doi.org/10.5656/KSAE.2012.09.0.052