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http://dx.doi.org/10.5423/PPJ.2008.24.1.046

Validation of an Anthracnose Forecaster to Schedule Fungicide Spraying for Pepper  

Ahn, Mun-Il (Department of Applied Biological Sciences, Sun Moon University)
Kang, Wee-Soo (Department of Agricultural Biotechnology, Seoul National University)
Park, Eun-Woo (Department of Agricultural Biotechnology, Seoul National University)
Yun, Sung-Chul (Department of Applied Biological Sciences, Sun Moon University)
Publication Information
The Plant Pathology Journal / v.24, no.1, 2008 , pp. 46-51 More about this Journal
Abstract
With the goal of achieving better integrated pest management for hot pepper, a disease-forecasting system was compared to a conventional disease-control method. Experimental field plots were established at Asan, Chungnam, in 2005 to 2006, and hourly temperature and leaf wetness were measured and used as model inputs. One treatment group received applications of a protective fungicide, dithianon, every 7 days, whereas another received a curative fungicide, dimethomorph, when the model-determined infection risk (IR) exceeded a value of 3. In the unsprayed plot, fruits showed 18.9% (2005) and 14.0% (2006) anthracnose infection. Fruits sprayed with dithianon at 7-day intervals had 4.7% (2005) and 15.4% (2006) infection. The receiving model-advised sprays of dimethomorph had 9.4% (2005) and 10.9% (2006) anthracnose infection. Differences in the anthracnose levels between the conventional and model-advised treatments were not statistically significant. The efficacy of 10 (2005) and 8 (2006) applications of calendar-based sprays was same as that of three (2005 and 2006) sprays based on the disease-forecast system. In addition, we found much higher the IRs with the leaf wetness sensor from the field plots comparing without leaf wetness sensor from the weather station at Asan within 10km away. Since the wetness-periods were critical to forecast anthracnose in the model, the measurement of wetness-period in commercial fields must be refined to improve the anthracnose-forecast model.
Keywords
Colletotrichum acutatum; disease-forecast; infection risk; model validation;
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1 Freeman, S., Katan, T. and Shabi, E. 1998. Characterization of Colletotrichum species responsible for anthracnose diseases of various fruits. Plant Dis. 82:596-605.   DOI   ScienceOn
2 Kim, K. S., Gleason, M. L. and Taylor, S. E. 2006. Forecasting site-specific leaf wetness duration for input to disease-warning systems. Plant Dis. 90:650-656.   DOI   ScienceOn
3 Kwon, C.-S. and Lee, S. G. 2002. Occurrence and ecological characteristics of red pepper anthracnose. Res. Plant Dis. 8:120- 123. (In Korean).   과학기술학회마을   DOI   ScienceOn
4 Funt, R. C., Ellis, M. A. and Madden, L. V. 1990. Economic analysis of protectant and disease-forecast-based fungicide spray programs for control of apple scab and grape black rot in Ohio. Plant Dis. 74:638-642.   DOI
5 Gleason, M. L., MacNab, A. A., Pitblado, R. E., Ricker, M. D., East, D. A. and Latin, R. X. 1995. Disease-warning systems for processing tomatoes in eastern North America: Are we there yet? Plant Dis. 79:113-121.   DOI   ScienceOn
6 Gleason, M. L., Parker, S. K., Pitblado, R. E., Latin, R. X. and Biederstedt, D. L. 1997. Validation of a commercial system for remote estimation of wetness duration. Plant Dis. 81:825-829.   DOI   ScienceOn
7 Manandhar, J. B., Hartman, G. L. and Wang, T. C. 1995. Conidial germination and appressorial formation of Colletotrichum capsici and C. gloeosporioides isolates from pepper. Plant Dis. 79:361-366.   DOI
8 Oh, I. S., In, M. S., Woo, I. S., Lee, S. K. and Yu, S. H. 1988. Anthracnose of pepper seedling caused by Colletotrichum cocodes (Wallr.) Hughes. Kor J. Mycol. 16:151-156.
9 Bounds, R. S. and Hausbeck, M. K. 2007. Comparing disease predictors and fungicide programs for late blight management in celery. Plant Dis. 91:532-538.   DOI   ScienceOn
10 Ott, R. L. 1999. Multiple comparisons. In: An Introduction to Statistical Methods and Data Analysis, pp 807-841. Duxbury press, CA.
11 Bounds, R. S., Podolsky, R. H. and Hausbeck, M. K. 2007. Integrating disease thresholds with TOM-CAST for carrot foliar blight management. Plant Dis. 91:798-804.   DOI   ScienceOn
12 Byrne, J. M., Hausbeck, M. K. and Latin, R. X. 1997. Efficacy and economics of management strategies to control anthracnose fruit rot in processing tomatoes in the Midwest. Plant Dis. 81:1167-1172.   DOI   ScienceOn
13 Dillard, H. R., Johnston, S. A., Cobb, A. C. and Hamilton, G. H. 1997. An assessment of fungicide benefits for the control of fungal diseases of processing tomatoes in New York and New Jersey. Plant Dis. 81:677-681.   DOI   ScienceOn
14 Huber, L. and Gillespie, T. J. 1992. Modeling leaf wetness in relation to plant disease epidemiology. Annu. Rev. Phytopathol. 30:553-577.   DOI   ScienceOn
15 Freeman, S., Nizani, Y., Dotan, S., Even, S. and Sando, T. 1997. Control of Colletotrichum acutatum in strawberry under laboratory, greenhouse, and field conditions. Plant Dis. 81:749- 752.   DOI   ScienceOn
16 Bounds, R. S., Podolsky, R. H. and Hausbeck, M. K. 2006. Comparing disease forecasters for timing fungicide sprays to control foliar blight on carrot. Plant Dis. 90:264-268.   DOI   ScienceOn
17 Gugino, B. K., Carroll, J. E., Widmer, T. L., Chen, P. and Abawi, G. S. 2007. An IPM program for managing fungal leaf blight diseases of carrot in New York. Plant Dis. 91:59-65.   DOI   ScienceOn
18 Ahn, M. I., Do, K. S., Park, E. W. and Yun, S.-C. 2006. Validation test of an infection risk model for pepper anthracnose (Colletotrichum acutatum). Plant Pathol. J. 22:409.
19 Ahn, I.-P., Kim, S., Im, K.-H. and Lee, Y.-H. 2003. Vegetative compatibility of Colletotrichum gloeosprioides isolates from different host plants. Plant Pathol. J. 19:296-273.