Research in Plant Disease (식물병연구)

The Korean Society of Plant Pathology (한국식물병리학회)
권호 표지
DOI QR코드

DOI QR Code

Field Validation of PBcast in Timing Fungicide Sprays to Control Phytophthora Blight of Chili Pepper

고추 역병 방제시기 결정을 위한 PBcast 예측모델 타당성 포장 평가

  • Ahn, Mun-Il (EPINET Co., Ltd.) ;
  • Do, Ki Seok (NEXTON Co., Ltd.) ;
  • Lee, Kyeong Hee (Chungcheongbuk-do Agricultural Research and Extension Services) ;
  • Yun, Sung Chul (Department of Life Science and Biochemical Engineering, Sunmoon University) ;
  • Park, Eun Woo (Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University)
  • Received : 2020.09.22
  • Accepted : 2020.10.31
  • Published : 2020.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Field validation of PBcast, an infection risk model for Phytophthora blight of pepper, was conducted through a designed field experiment in 2012 and 2013. Conduciveness of weather conditions at 26 locations in Korea in 2014-2017 was also evaluated using PBcast. The PBcast estimated daily infection risk (IR) of Phytophthora capsici based on weather and soil texture data. In the designed filed experiment, four treatments including routine sprays at 7-day intervals (RTN7), forecast-based sprays when IR reached 200 (IR200) and 224 (IR224), and no spray (CTRL) were compared in terms of disease incidence and number of sprays recommended for disease control. In 2012, IR had reached over 200 twice, but never reached 224. In 2013, IR had reached over 200 three times and once higher than 224. The RTN7 plots were sprayed 17 and 18 times in 2012 and 2013, respectively. Weather conditions throughout the country were generally conducive for Phytophthora blight and 3-4 times of fungicide sprays would have been reduced if the PBcast forecast information was adopted in the decision-making for fungicide sprays. In conclusion, the PBcast forecast would be useful to reduce fungicide applications without losing the disease control efficacy to protect pepper crop from Phytophthora blight.

고추 역병의 감염위험도 예측모델인 PBcast 포장검증 연구를 2012-2013년 동안 수행하였다. 그리고 2014-2017년 동안 우리나라 26개 지점에서 PBcast 모델을 이용하여 발병환경을 평가하였다. PBcast 모델은 기상과 토성자료를 이용하여 Phytophthora capsici의 일일 감염위험도를 추정한다. 시험포장에서 7일 간격으로 살균제를 살포하는 정기방제(RTN7) 처리, 예측된 감염위험도가 200 이상(IR200), 224 이상(IR224)일 때 살포하는 예찰방제 처리, 무방제(CTRL) 처리를 발병주율과 살균제 살포횟수로 비교하였다. 2012년에 감염위험도가 200 이상이 2회였지만, 224 이상인 경우는 없었다. 2013년은 200이상 3회, 224 이상 1회였다. RTN7 처리구는 2012년과 2013년에 17회, 18회 살포하였다. 우리나라의 기상조건은 고추 역병 발생에 유리하였고 방제의사결정에 PBcast 예측 정보를 활용할 경우 살포횟수를 3-4회 감소시킬 수 있다. 결과적으로 PBcast 모델은 고추 역병으로부터 보호를 위해 병방제 효과의 감소없이 살균제 살포횟수를 줄일 수 있을 것으로 생각된다.

Keywords

References

  1. Ahn, M.-I., Kang, W. S., Park, E. W. and Yun, S.-C. 2008. Validation of an anthracnose forecaster to schedule fungicide spraying for pepper. Plant Pathol. J. 24: 46-51. https://doi.org/10.5423/PPJ.2008.24.1.046
  2. Bae, D. H. 2006. The disease epidemic of pepper anthracnose and importance of controlling anthracnose. In: Proceeding of Workshop for the Disease Epidemic and Control of Chili Pepper Anthracnose, ed. by National Institute of Agricultural Science and Technology, pp. 2-7. Rural Development Administration, Wanju, Korea. (In Korean)
  3. Bernhardt, E. A. and Grogan, R. G. 1982. Effect of soil matric potential on the formation and indirect germination of sporangia of Phytophthora parasitica, P. capsici, and P. cryptogea. Phytopathology 72: 507-511. https://doi.org/10.1094/Phyto-77-507
  4. De Wolf, E. D. and Isard, S. A. 2007. Disease cycle approach to plant disease prediction. Annu. Rev. Phytopathol. 45: 203-220. https://doi.org/10.1146/annurev.phyto.44.070505.143329
  5. Do, K. S., Kang, W. S. and Park, E. W. 2012. A Forecast model for the first occurrence of phytophthora blight on chili pepper after overwintering. Plant Pathol. J. 28: 172-184. https://doi.org/10.5423/PPJ.2012.28.2.172
  6. Duniway, J. M. 1976. Movement of zoospores of Phytophthora cryptogea in soils of various textures and matric potentials. Phytopathology 66: 877-882. https://doi.org/10.1094/Phyto-66-877
  7. Duniway, J. M. 1979. Water relations of water molds. Annu. Rev. Phytopathol. 17: 431-460. https://doi.org/10.1146/annurev.py.17.090179.002243
  8. Duniway, J. M. 1983. Role of physical factors in the development of Phytophthora diseases. In: Phytophthora: Its Biology, Taxonomy, Ecology, and Pathology, eds. by D. C. Erwin, S. Bartnicki-Garcia and P. H. Tsao, pp. 175-187. American Phytopathological Society, St. Paul, MN, USA.
  9. Erwin, D. C. and Ribeiro, O. K. 1996. Phytophthora Diseases Worldwide. American Phytopathological Society, St. Paul, MN, USA. 592 pp.
  10. Ferrin, D. M. and Mitchell, D. J. 1986. Influence of soil water status on the epidemiology of tobacco black shank. Phytopathology 76: 1213-1217. https://doi.org/10.1094/Phyto-76-1213
  11. Gent, D. H., Mahaffee, W. F., McRoberts N. and Pfender W. F. 2013. The use and role of predictive systems in disease management. Annu. Rev. Phytophthol. 51: 267-289. https://doi.org/10.1146/annurev-phyto-082712-102356
  12. Hong, S. and Kim, S. 2013. The analysis on the production and consumption of red-pepper in Korea. CNU J. Agric. Sci. 40: 405-410.
  13. Hord, M. J. and Ristaino, J. B. 1992. Effect of the matric component of soil water potential on infection of pepper seedlings in soil infested with oospores of Phytophthora capsici. Phytopathology 82: 792-798. https://doi.org/10.1094/Phyto-82-792
  14. Hughes, G. 2017. The evidential basis of decision making in plant disease management. Annu. Rev. Phytopathol. 55: 41-59. https://doi.org/10.1146/annurev-phyto-080516-035342
  15. Katsura, K. 1971. Some ecological studies on zoospore of Phytophthora capsici Leonian. Rev. Plant Prot. Res. 4: 58-70.
  16. Kim, B.-S., Kwon, T.-R., Hwang, J.-E., Lee, J.-M., Park, D.-G., Ahn, J.-H. et al. 2010. Resistance to Phytophthora blight of commercial pepper cultivars in Korea. Res. Plant Dis. 16: 141-147. (In Korean) https://doi.org/10.5423/RPD.2010.16.2.141
  17. Kim, C.-H. 2004. Review of disease incidence of major crops in 2003. Res. Plant Dis. 10: 1-7. (In Korean) https://doi.org/10.5423/RPD.2004.10.1.001
  18. Korea Crop Protection Association. 2012. Guideline of Crop Protection Products. Korea Crop Protection Association, Seoul, Korea. 1352 pp. (In Korean)
  19. Kwon, O. H., Lee, K.-H., Jang, K.-S., Kim, C.-Y., Jeon, S.-G., Kwon, J.-B. et al. 2017. Revaluation of phytophthora blight resistance cultivars by inoculation of isolates of Phytophthora capsici. Hortic. Sci. Technol. 35(Suppl. I): 199. (In Korean)
  20. Schlub, R. L. 1983. Epidemiology of Phytophthora capsici on bell pepper. J. Agric. Sci. 100: 7-11. https://doi.org/10.1017/S0021859600032391
  21. The R Foundation. 2020. The R project for statistical computing. URL http://www.r-project.org/index.html [10 December 2020].