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Current Status and Future Prospect of Plant Disease Forecasting System in Korea

우리 나라 식물병 발생예찰의 현황과 전망

  • 김충회 (농업과학기술원 작물보호부 식물병리과)
  • Published : 2002.08.01

Abstract

Disease forecasting in Korea was first studied in the Department of Fundamental Research, in the Central Agricultural Technology Institute in Suwon in 1947, where the dispersal of air-borne conidia of blast and brown spot pathogens in rice was examined. Disease forecasting system in Korea is operated based on information obtained from 200 main forecasting plots scattered around country (rice 150, economic crops 50) and 1,403 supplementary observational plots (rice 1,050, others 353) maintained by Korean government. Total number of target crops and diseases in both forecasting plots amount to 30 crops and 104 diseases. Disease development in the forecasting plots is examined by two extension agents specialized in disease forecasting, working in the national Agricul-tural Technology Service Center(ATSC) founded in each city and prefecture. The data obtained by the extension agents are transferred to a central organization, Rural Development Administration (RDA) through an internet-web system for analysis in a nation-wide forecasting program, and forwarded far the Central Forecasting Council consisted of 12 members from administration, university, research institution, meteorology station, and mass media to discuss present situation of disease development and subsequent progress. The council issues a forecasting information message, as a result of analysis, that is announced in public via mass media to 245 agencies including ATSC, who informs to local administration, the related agencies and farmers for implementation of disease control activity. However, in future successful performance of plant disease forecasting system is thought to be securing of excellent extension agents specialized in disease forecasting, elevation of their forecasting ability through continuous trainings, and furnishing of prominent forecasting equipments. Researches in plant disease forecasting in Korea have been concentrated on rice blast, where much information is available, but are substan-tially limited in other diseases. Most of the forecasting researches failed to achieve the continuity of researches on specialized topic, ignoring steady improvement towards practical use. Since disease forecasting loses its value without practicality, more efforts are needed to improve the practicality of the forecasting method in both spatial and temporal aspects. Since significance of disease forecasting is directly related to economic profit, further fore-casting researches should be planned and propelled in relation to fungicide spray scheduling or decision-making of control activities.

우리 나라 식물병 예찰사업은 1947년 수원의 중앙농업기술원 기초연구과에서 수도 도열병균과 깨씨무늬병균의 분생포자 비산상황을 조사함으로써 비롯되었다. 국내 식물병 발생예찰은 국가에서 운용하는 200개 기본예찰포(벼 150, 원예작물 50)와 1,403개의 관찰포(벼 1,050, 원예작물 353)에서 얻어진 정보를 중심으로 운용되고 있다. 기본예찰포 및 관찰포에서의 식물병 발생예찰 대상작물 및 병해수는 30작물 104 병해에 이른다. 기본예찰소 및 관찰포의 병해 발생상황 조사는 시·군 농업기술센터 소속의 2명의 예찰전담지도사에 의하여 수행되고 있으며 조사된 자료는 인터넷을 통하여 즉시 농촌진홍청으로 전송되어 분석되며, 12명으로 구성된 예찰회의에 회부된다. 예찰회의는 농림부, 농촌진흥청, 관련시험연구기관, 농협, 유관대학, 기상청, 방송보도 기관 관계자들이 참여하며, 예찰회의 결과 병해의 발생정도에 따라 3가지의 예찰정보를 격주로 발표하는데, 이 정보는 언론보도기관 등 총245개 기관에 통보되어 농업기술센터를 비롯한 지역행정기관, 농협, 농업인들이 방제에 임하고 있다. 향후 식물병 예찰의 성공여부는 우수한 예찰 전문요원의 확보, 지속적인 교육을 통한 예찰능력의 향상, 우수한 예찰기기 확보 및 활용 등이 전제되어야 할 것으로 생각된다. 우리 나라 식물병 발생예찰은 벼 도열병을 중심으로 발전해 왔다고 해도 과언이 아닐 정도로 많은 연구가 이루어져 상당한 예찰정보가 누적되어 있으나, 다른 병해에 대한 예찰연구는 초보적인 수준에 머물고 있다. 또한 대부분의 연구가 단편적인 연구에 치중되어 지속적인 연구가 이루워지지 못하고 있다. 식물병의 예찰이 실용성이 없이는 그 가치를 상실함이 자명하므로 앞으로는 지속적인 연구를 통하여 시간적, 공간적 측면에서 예찰의 실용성을 높이는데 많은 노력을 기울여야 한다. 또한 예찰의 의의가 경제적인 이득에 직결되므로, 향후 예찰연구는 예찰정보를 기반으로 한, 방제의사 결정이나 합리적인 살균제 살포계획과 연계되어 추진되어야 할 것으로 생각된다.

Keywords

References

  1. Anonymous, 1947. Investigation of air-bom conidia dispersal ofrice blast and Helminthospoiium leaf spot pathogens in dayand night time. Central Agricultural Technology Institute.Ann. Research Rept. 314
  2. Anonymous, 1947. Investigation on disease forecasting of riceblast. Central Agricultural Technology Institute. Ann. Research Rept. 297
  3. Ahn, J. H., Hahm, Y. I. and Park, E. W. 1998. Development of'moving average method' for prediction of initial appearanceof potato late blight. Korean J. Ptant PathoI. 14(1): 34-40
  4. Ahn, J. H., Hahm, Y. I. and Shin, K. Y. 1998. Modeling for pre-diction of potato late blight(Phytophthora infestans) Progress. Korean J. PIant Pathot. 14(4): 331-338
  5. Cho, W. K. and Choi, S. H. 1985. Study of forecasting of sesamephytophthora blight. Ann. Research Rept. Nat'l. Inst. Agric. Sci. 274-276
  6. Cho, W. K., Choi, S. H., Cho, W. D. and Lee, E. J. 1984. Epi- demiological study on stem-rotting diseases of sesame. Ann. Research Rept. Nat'L Inst. Agric. Sci. 270-273
  7. Choi, W. J., Park, E. W. and Lee, E. J. 1988. LEAFBLST: a com- puter simulation model for leaf blast development on rice. Korean J. Ptant Pathot. 4(1): 25-32
  8. Chung, B. K., Shim, J. S., Sung, J. M., Heu, N. Y. and Park, I. S. 1982. Study on air-bome ascospores as primary inocula of barley scab. Korean J. Mycot. 10(2): 85-88
  9. Hahm, Y. I., Hahn, B. H. and Franckowiak, J. D. 1978. Fore-casting potato late blight of potatoes at the alpine area in Korea. Korean J. Ptant Prot. 17(2): 81-88
  10. Hwang, B. S., Yun, J. I. and Lee, K. H. 1996. Using hourly weather data to determine dew periods of potato crops. Korean J. Ptant Pathot. 12(4): 445-452
  11. Jeong, M, H., Kim, D. H. and Uhm, J. Y. 1994. Establishment of fungicidal spray schedule for effective control of apple white rot 1. Guiding principles for selecting protective fungicides in accordance with apple growing season. Korean J. PIant Pathot. 10(4): 284-291
  12. Jung, K. C., Park, S. D., Yoon, J. T, Park, S. D. and Choi, D. W. 1993. Effects of meteorological factors on the telium maturity of Gymnosproanguim yamadae and the occurrence of apple rust. Korean J. Ptant Pathot. 9(2): 123-127
  13. Kang, C. S., Kim, Y. K. and Shin, S. K. 1967. Study on rela- tionship between major diseases incidence ofhce and planting time. Ann. Research Rept. Choongnam Prov. R.D.A. 377-282
  14. Kang, S. W., Cho, D. J. and Lee, Y. S. 1985. Incidence of fusarium wilt of sesame(Sesamum indicum L.) in relation to air. Korean J. Plant Prot. 24(3): 123-127
  15. Kim, C. H. and Park, K. S. 1988. A predictive model of disease progression of red-pepper anthracnose. Korean J. Plant Pathot. 4(4): 325-331
  16. Kim, C. H., Cho, W. D. and Kim, S. C. 1987. An empirical model for forecasting altemaria leaf spot in apple. Korean J. Ptant Prot. 26(1): 221-228
  17. Kim, C. H., MacKenzie, D. R. and Rush, M. C. 1987. A model to forecast lice blast disease based on weather indexing. Korean J. Ptant Pathot. 3(3): 210-216
  18. Kim, C. H., MacKenzie, D. R. and Rush, M. C. 1988. Field test-ing a computerized forecasting system for rice blast disease. Phytopathotogy 78: 931-934 https://doi.org/10.1094/Phyto-78-931
  19. Kim, C. K. 1982. Improved methods for rice blast forecasting. Korean J. PIant Prot. 21(1): 19-22
  20. Kim, C. K. and Kim, C. H. 1991. Predicting rice blast outbreaks in Korea. In: Rice Btast Modeting and forecasting, pages 53-67, IRRC, IRRI. 99pp
  21. Kim, C. K., Kang, C. S. and Chung, B. J. 1977. Forecasting meth-ods of rice blast based on the rice plant predisposition. Research Rept. RDA(S, F, P&M). 19: 145-149
  22. Kim, K. R., Park, E. W., Yang, J. S., Kim, S. K., Hong, S. S. and Yun, J. I. 1996. Development of an integrated system for agri-cultural meteorological data acquisition and plant disease fore-casting. Korean J. Ptant Pathot. 12(1): 121-128
  23. Kim, K. W., Park, E. W., Kim, S. B. and Yun, J. I. 1995. Temporal dynamics of Botryosphaeria dothidea spore dispersal in apple orchards and related climatological factors. Korean J. PIant Pathot. 11(3): 230-237
  24. Kim, S. C. and Kim, C. H. 1980. Studies on the disease of pear rust caused by Gymnosporansium haraeanum SYDOW I. some ecological investigation of inoculum source. Korean J. Plant Prot. 19(1): 39-44
  25. Lee, D. H. 1990. Studies on the several factors in relation to pear rust infection caused by Gymnosporangium asiaticum Miyabe et Yamada. Korean J. Ptant Pathot. 6(1): 65-72
  26. Lee, J. T., Yun, S. H., Kim, C. K., Im, J. N. and Jung, Y. S. 1989. Forecasting model of rice leaf b\ast(PyricuIaria orywe) by meteorological data. Res. Rept. RDA(C.P) 31(2): 9-16
  27. Lee, S. J., Won, C. N., Lee, W. K. and Mun, J. Y. 1966. Study on infection time of apple anthracnose. Am. Research Rept. Nat'I Inst. Agric. Envimn. 97-113
  28. Park, E. W., Hur, J. S. and Yun, S. C. 1992. A forecasting system for scheduling fungicide sprays to control grape ripe rot caused by CoUetotrichum gtoeosporioides. Korean J. Plant Pathot. 8(3): 177-184
  29. Park, K. J. 2001. Fitness analysis of the forecasting model for theroot rot progress of ginseng based on bioassay and soil envi-ronmental factors. Res. Ptant Dis. 7(1): 20-24
  30. Park, S. H., Lee, J. T., Chung, S. O. and Kim, H. K. 1999. Fore-casting the pepper gray mold rot to predict the intial infection by Botrytis cinerea in greenhouse conditions. Ptant Pathot. J. 15(3): 158-161
  31. Son, J. S., Kwon, S. K. and Chang, S. D. 1967. Density of Air-born conidia of apple anthracnose pathogen. Ann. Research Rept. Kyungbook Prov. RDA. 786-794
  32. Yoo, B. J., Kim, J. O. and Chung, S. M. 1986. Forecasting of corn pests. Ann. Research Rept. Kangwon Prov. RDA 443-450
  33. Yoo, C. Y., Yoo, H. J. and Lim, J.O. 1965. Porecasting of barley scab disease. Ann. Research Rept. Kyungnam Prov. RDA 287-294
  34. Yoon, J. T. and Lee, J. S. 1980. Study of infection time of corn black- streaked dwarf virus. Ann. Research Rept. Kyungbook Prov. RDA. 577-582
  35. Yoon, J. T., Lee, J. T, Park, S. D. and Park, D. O.1989. Effects of meteorological factors on the occurrence of altemaria leaf spot caused by AItemaria aItemata f.sp. mali. Korean J. PIant PathoI. 5(3): 312-316
  36. Yun, S. C. and Park, E. W. 1990. Effects of temperature and wet-ness period on infection of grape by Cottetotrichum gtoeospo-rioides. Korean J. Ptant Pathol. 6(2): 219-228