The Plant Pathology Journal

한국식물병리학회 (The Korean Society of Plant Pathology)
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Nonlinear Regression Analysis to Determine Infection Models of Colletotrichum acutatum Causing Anthracnose of Chili Pepper Using Logistic Equation

  • Kang, Wee-Soo (Department of Agricultural Biotechnology, Seoul National University) ;
  • Yun, Sung-Chul (Department of Biomedical Sciences, Sun Moon University) ;
  • Park, Eun-Woo (Department of Agricultural Biotechnology, Seoul National University)
  • 투고 : 2009.11.16
  • 심사 : 2009.12.05
  • 발행 : 2010.03.01
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초록

A logistic model for describing combined effects of both temperature and wetness period on appressorium formation was developed using laboratory data on percent appressorium formation of Colletotrichum acutatum. In addition, the possible use of the logistic model for forecasting infection risks was also evaluated as compared with a first-order linear model. A simplified equilibrium model for enzymatic reactions was applied to obtain a temperature function for asymptote parameter (A) of logistic model. For the position (B) and the rate (k) parameters, a reciprocal model was used to calculate the respective temperature functions. The nonlinear logistic model described successfully the response of appressorium formation to the combined effects of temperature and wetness period. Especially the temperature function for asymptote parameter A reflected the response of upper limit of appressorium formation to temperature, which showed the typical temperature response of enzymatic reactions in the cells. By having both temperature and wetness period as independent variables, the nonlinear logistic model can be used to determine the length of wetness periods required for certain levels of appressorium formation under different temperature conditions. The infection model derived from the nonlinear logistic model can be used to calculate infection risks using hourly temperature and wetness period data monitored by automated weather stations in the fields. Compared with the nonlinear infection model, the linear infection model always predicted a shorter wetness period for appressorium formation, and resulted in significantly under- and over-estimation of response at low and high temperatures, respectively.

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참고문헌

  1. Anonymous. 2008. Application Guide of Agricultural Chemicals. Korea Crop Protection Association. Seoul, Korea. 1080 pp.
  2. Biggs, A. R. and Northover, J. 1988. Influence of temperature and wetness duration on infection of peach and sweet cherry fruits by Monilinia fructicola. Phytopathology 78:1352-1356. https://doi.org/10.1094/Phyto-78-1352
  3. Bulger, M. A., Ellis, M. A. and Madden, L. V. 1987. Influence of temperature and wetness duration on infection of strawberry flowers by Botrytis cinerea and disease incidence of fruit originating from infected flowers. Phytopathology 77:1225-1230. https://doi.org/10.1094/Phyto-77-1225
  4. Campbell, C. L. and Madden, L. V. 1990. Introduction to plant disease epidemiology. John Wiley & Sons, Inc. 531 pp.
  5. Carisse, O., Kushalappa, A. C. and Cloutier, D. C. 1993. Influence of temperature, leaf wetness, and high relative humidity duration on sporulation of Cercospora carotae on carrot leaves. Phytopathology 83:338-343. https://doi.org/10.1094/Phyto-83-338
  6. Cho, E. K., Park, K. S., Yang, S. S. and Lee, E. J. 1987. Studies on development of forecasting method for red-pepper anthracnose. In: Annual Research Report (Biology Division), ed. by Agricultural Science Institute, pp. 351-355. Agricultural Science Institute. Suwon, Korea.
  7. Duthie, J. A. 1997. Models of the response of foliar parasites to the combined effects of temperature and duration of wetness. Phytopathology 87:1088-1095. https://doi.org/10.1094/PHYTO.1997.87.11.1088
  8. Evans, K. J., Nyquist, W. E. and Latin, R. X. 1992. A model based on temperature and leaf wetness duration for establishment of Alternaria leaf blight of muskmelon. Phytopathology 82:890-895. https://doi.org/10.1094/Phyto-82-890
  9. Freeman, S., Katan, T. and Shabi, E. 1998. Characterization of Colletotrichum species responsible for anthracnose diseases of various fruits. Plant Dis. 82:596-605. https://doi.org/10.1094/PDIS.1998.82.6.596
  10. Hau, B., Eisensmith, S. P. and Kranz, J. 1985. Construction of temporal models. In: Mathematical Modeling of Crop Disease, ed. by C. A. Gilligan, pp. 31-65. Academic Press. New York, USA.
  11. Hong, J. K. and Hwang, B. K. 1998. Influence of inoculum density, wetness duration, plant age, inoculation method, and cultivar resistance on infection of pepper plants by Colletotrichum coccodes. Plant Dis. 82:1079-1083. https://doi.org/10.1094/PDIS.1998.82.10.1079
  12. Kang, B. K., Min, J. Y., Kim, Y. S., Park, S. W., Bach, N. V. and Kim, H. T. 2005. Semi-selective medium for monitoring Colletotrichum acutatum causing pepper anthracnose in the field. Res. Plant Dis. 11:21-27. https://doi.org/10.5423/RPD.2005.11.1.021
  13. Kim, C. H. 1993. Current status of fungal and bacterial diseases of hot pepper and their control measures. J. Korean Capsicum Research Cooperative 2:1-11.
  14. Kim, C. H. and Park, K. S. 1988. A predictive model of disease progression of red-pepper anthracnose. Korean J. Plant Pathol. 4:325-331.
  15. Kim, K. S., Wang, T. C. and Yang, X. B. 2005. Simulation of apparent infection rate to predict severity of soybean rust using a fuzzy logic system. Phytopathology 95:1122-1131. https://doi.org/10.1094/PHYTO-95-1122
  16. Lalancette, N., Ellis, M. A. and Madden, L. V. 1988. Development of an infection efficiency model for Plasmopara viticola on American grape based on temperature and duration of leaf wetness. Phytopathology 78:794-800. https://doi.org/10.1094/Phyto-78-794
  17. Madden, L. V., Yang, X. and Wilson, L. L. 1996. Effects of rain intensity on splash dispersal of Colletotrichum acutatum. Phytopathology 86:864-874. https://doi.org/10.1094/Phyto-86-864
  18. Magboul, A. M., Geng, S., Gilchrist, D. G. and Jackson, L. F. 1992. Environmental influence on the infection of wheat by Mycosphaerella graminicola. Phytopathology 82:1407-1413. https://doi.org/10.1094/Phyto-82-1407
  19. Manandhar, J. B., Wang, T. C. and Hartman, G. L. 1995. Anthracnose development on pepper fruits inoculated with Colletotrichum gloeosporioides. Plant Dis. 79:380-383. https://doi.org/10.1094/PD-79-0380
  20. Park, K. S. and Kim, C. H. 1992. Identification, distribution, and etiological characteristics of anthracnose fungi of red pepper in Korea. Korean J. Plant Pathol. 8:61-69.
  21. Peres, N. A., Timmer, L. W., Adaskaveg, J. E. and Correll, J. C. 2005. Lifestyles of Colletotrichum acutatum. Plant Dis. 89:784-796. https://doi.org/10.1094/PD-89-0784
  22. Peterson, M. E., Eisenthal, R., Danson, M. J., Spence, A. and Daniel, R. M. 2004. A new intrinsic thermal parameter for enzymes reveals true temperature optima. J. Biol. Chem. 279:20717-20722. https://doi.org/10.1074/jbc.M309143200
  23. SAS Institute Inc. 1985. SAS User's Guide: Statistics. SAS Institute Inc., Cary, NC. 956 pp.
  24. Scherm, H. and van Bruggen, A. H. C. 1993. Response surface models for germination and infection of Bremia lactucae, the fungus causing downy mildew of lettuce. Ecol. Model. 65:281-296. https://doi.org/10.1016/0304-3800(93)90084-6
  25. Schuh, W. 1991. Influence of temperature and leaf wetness period on conidial germination in vitro and infection of Cercospora kikuchii on soybean. Phytopathology 81:1315-1318. https://doi.org/10.1094/Phyto-81-1315
  26. Shin, H. J., Chen, Z. J., Hwang, J. and Lee, S. G. 1999. Comparison of pepper anthracnose pathogen from Korea and China. Plant Pathol. J. 15:323-329.
  27. Suzuki, H. 1975. Meteorological factors in the epidemiology of rice blast. Annu. Rev. Phytopathol. 13:239-256. https://doi.org/10.1146/annurev.py.13.090175.001323
  28. Workneh, F. and Rush, C. M. 2006. Weather factors associated with development of sorghum ergot in the Texas Panhandle. Plant Dis. 90:717-722. https://doi.org/10.1094/PD-90-0717

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