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http://dx.doi.org/10.12791/KSBEC.2022.31.4.376

Forecasting Leaf Mold and Gray Leaf Spot Incidence in Tomato and Fungicide Spray Scheduling  

Lee, Mun Haeng (Fruit Vegetable Research Institute Chungnam-do A.R.E.S)
Publication Information
Journal of Bio-Environment Control / v.31, no.4, 2022 , pp. 376-383 More about this Journal
Abstract
The current study, which consisted of two independent studies (laboratory and greenhouse), was carried out to project the hypothesis fungi-spray scheduling for leaf mold and gray leaf spot in tomato, as well as to evaluate the effect of temperature and leaf wet duration on the effectiveness of different fungicides against these diseases. In the first experiment, tomato leaves were infected with 1 × 104 conidia·mL-1 and put in a dew chamber for 0 to 18 hours at 10 to 25℃ (Fulvia fulva) and 10 to 30℃ (Stemphylium lycopersici). In farm study, tomato plants were treated for 240 hours with diluted (1,000 times) 30% trimidazole, 50% polyoxin B, and 40% iminoctadine tris (Belkut) for protection of leaf mold, and 10% etridiazole + 55% thiophanate-methyl (Gajiran), and 15% tribasic copper sulfate (Sebinna) for protection of gray leaf spot. In laboratory test, leaf condensation on the leaves of tomato plants were emerged after 9 hrs. of incubation. In conclusion, the incidence degree of leaf mold and gray leaf spot disease on tomato plants shows that it is very closely related to formation of leaf condensation, therefore the incidence of leaf mold was greater at 20 and 15℃, while 25 and 20℃ enhanced the incidence of gray leaf spot. The incidence of leaf mold and gray leaf spot developed 20 days after inoculation, and the latency period was estimated to be 14-15 days. Trihumin fungicide had the maximum effectiveness up to 168 hours of fungicides at 12 hours of wet duration in leaf mold, whereas Gajiran fungicide had the highest control (93%) against gray leaf spot up to 144 hours. All the chemicals showed an around 30-50% decrease in effectiveness after 240 hours of treatment. The model predictions in present study could be help in timely, effective and ecofriendly management of leaf mold disease in tomato.
Keywords
control schedule; forecasting; fungicide; gray leaf mold; leaf condensation; tomato leaf mold;
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  • Reference
1 Korean Society of Plant Pathology 2009, List of plant diseases in Korea, 5th ed., p 853. (in Korean)
2 Lee M.H., S.K. Cho, Y.S. Kim, and D.J. Lee 2017, Study of forecasting and Scheduling for fungicide sprays to control of late blight in tomato. J Korean Soc Int Agric 29:454-458. (in Korean)   DOI
3 Wang H., J.A. Sanchez-Molina, M. Li, and M. Berenguel 2020, Development of an empirical tomato crop disease model: a case study on gray leaf spot. Eur J Plant Pathol 156: 477-490. doi:10.1007/s10658-019-01897-7   DOI
4 Bierhuizen J.F., and W.A. Wagenvoort 1977, Some aspects of seed germination in vegetables, 1. The determination and application of heat sums and minimum temperature for germination. Sci Hortic 2:213-219. doi:10.1016/0304-4238(74)90029-6   DOI
5 Cabral R.N., W.A. Marouelli, D.A.C. Lage, and A.C. Cafe-Filho 2013, Septoria leaf spot in organic tomatoes under diverse irrigation systems and water management strategies. Hortic Bras 31:392-400. doi:10.1590/S0102-05362013000300009   DOI
6 Gleason M.L., A.A. MacNab, R.E. Pitblado, M.D. Ricker, D.A. East, and R.X. Latin 1995, Disease warning systems for processing tomatoes in eastern North America: Are we there yet?. Plant Dis 79:113-121. doi:10.1094/PD-79-0113   DOI
7 Hahm Y.I., B.H. Hahn, and J.D. Franckowiak 1978, Forecasting late blight of potatoes at the alpine area in Korea. Korean J Plant Prot 17:81-87. (in Korean)
8 Park E.W., J.S. Hur, and S.C. Yun 1992, A Forecasting system for scheduling fungicide sprays to control grape ripe rot caused by Colletotrichum gloeosporioides. Korean J Plant Pathol 8:177-184. (in Korean)
9 Hwang B.S., J.I. Yun, and K.H. Lee 1996, Using hourly weather data to determine dew periods of potato crops. Korean J Plant Pathol 12:445-452. (in Korean)
10 Jallow M.F.A., D.G. Awadh, M.S. Albaho, V.Y. Devi, and B.M. Thomas 2017, Pesticide risk behaviors and factors influencing pesticide use among farmers in Kuwait. Sci Total Environ 574:490-498. doi:10.1016/j.scitotenv.2016.09.085.   DOI
11 Pitblado R.E. 1988, Development of a weather-timed fungicide spray program for field tomatoes. Can J Plant Pathol 10:371.
12 Pitblado R.E. 1992, The development and implementation of TOM-CAST, a weather timed fungicide spray program for field tomatoes. Ministry of Agriculture and Food, Ontario, Canada.
13 Sikora E.J., E.M. Bauske, G.W. Zehnder, and M.H. Hollingsworth 1994, Evaluation of low-input fungicide spray programs for control of early blight on tomatoes. Highlights of Agricultural Research.
14 Xu L., A. Lu, J. Wang, Z. Ma, L. Pan, X. Feng, and Y. Luan 2015, Accumulation status, sources and phytoavailability of metals in greenhouse vegetable production systems in Beijing, China. Ecotoxicol Environ Saf 122:214-220. doi:10.1016/j.ecoenv.2015.07.025   DOI
15 Ahn J.H., Y.I. Hahm, and K.Y. Shin 1998b, Modeling for prediction of potato late blight (Phytophthora infestans) progress. Korean J Plant Pathol 14:331-338.
16 Ahn J.H., Y.I. Hahm, and E.W. Park 1998a, Development of 'moving average method' for prediction of initial appearance of potato late blight. Korean J Plant Pathol 14:34-40.
17 Anonymous 1947, Investigation if air born conidia dispersal of rice blast and Helminthosporium leaf spot pathogens in day and night time. Cent Agric Technol Inst Ann Res Rep, p.314.
18 Liu J., and X. Wang 2020, Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model. Plant Methods 16:83. doi:10.1186/s13007-020-00624-2.   DOI
19 MacNab A.A., and R.G. Gardner 1993, Early blight defoliation on tomatoes associated with cultivar and fungicide treatments. Biol Cult Tests 8:54.
20 Nita M., M.A. Ellis, and L.V. Madden 2003, Effects of temperature, wetness duration, and leaflet age on infection of strawberry foliage by Phomopsis obscurans. Plant Dis 87:579-584. doi:10.1094/PDIS.2003.87.5.579   DOI