Scheduling Fungicide Applications for Cucurbit Downy Mildew Control on Pickling Cucumber in Michigan Using Disease Forecasters
- Matthew R. Uebbing1
- Zachary D. Hayden2
- Mary K. Hausbeck1 †
- 1Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI 48824
- 2Department of Horticulture, Michigan State University, East Lansing, MI 48824
Abstract
Cucumber production is important to Michigan's economy and was valued at more than $45 million in 2019. Cucurbit downy mildew (CDM), caused by Pseudoperonospora cubensis, is an annual threat to Michigan's cucumber production, and fungicides must be applied frequently to prevent major yield losses. Our objective was to evaluate the disease forecasting models TOM-CAST, BLITE-CAST, and DM-CAST for their application in scheduling fungicide applications for CDM control. Field trials were conducted in 2021 and 2022 to evaluate each disease forecaster at different spray thresholds compared with 7- and 10-day programs and an untreated control. In 2021, all treatments received applications of cyazofamid alternated with oxathiapiprolin/chlorothalonil alternated with ametoctradin/dimethomorph plus chlorothalonil. The 2022 fungicide program was similar to that of 2021 except that cyazofamid was tank-mixed with chlorothalonil. Treatment plots were visually assessed for the foliar area (%) with CDM symptoms, and the relative area under the disease progress curve was determined at the end of each season. The results indicate that using DM-CAST or BLITE-CAST to schedule fungicide applications limited CDM and was similar to the 7-day program. The 7-day program received 7 (2021) and 6 (2022) applications, whereas DM-CAST and BLITE-CAST required 4 to 8 or 5 to 6 applications, respectively, depending on the threshold and year. This is the first study to evaluate these disease forecasters for scheduling fungicide application intervals for CDM.
Literature Cited
- 2020. Field validation of TOMCAST modified to manage Septoria leaf spot on tomato in the central-west region of Brazil. Crop Prot. 138:105333. https://doi.org/10.1016/j.cropro.2020.105333 CrossrefWeb of ScienceGoogle Scholar
- 2022. Clade-specific monitoring of airborne Pseudoperonospora spp. sporangia using mitochondrial DNA markers for disease management of cucurbit downy mildew. Phytopathology 112:2110-2125. https://doi.org/10.1094/PHYTO-12-21-0500-R LinkWeb of ScienceGoogle Scholar
- 2021. Detection of airborne sporangia of Pseudoperonospora cubensis and P. humuli in Michigan using Burkard spore traps coupled to quantitative PCR. Plant Dis. 105:1373-1381. https://doi.org/10.1094/PDIS-07-20-1534-RE LinkWeb of ScienceGoogle Scholar
- 2007. Integrating disease thresholds with TOM-CAST for carrot foliar blight management. Plant Dis. 91:798-804. https://doi.org/10.1094/PDIS-91-7-0798 LinkWeb of ScienceGoogle Scholar
- 2016. Effect of temperature and wetness duration on infection by Plasmopara viticola and on post-inoculation efficacy of copper. Eur. J. Plant Pathol. 144:737-750. https://doi.org/10.1007/s10658-015-0802-9 CrossrefWeb of ScienceGoogle Scholar
- 2012. Resistance of cucumber cultivars to a new strain of cucurbit downy mildew. HortScience 47:171-178. https://doi.org/10.21273/HORTSCI.47.2.171 CrossrefWeb of ScienceGoogle Scholar
- 1990. Forecasting plant diseases. Pages 432-452 in: Introduction to Plant Disease Epidemiology. Wiley-Interscience, Hoboken, NJ. Google Scholar
- 2015. Field response of cucurbit hosts to Pseudoperonospora cubensis in Michigan. Plant Dis. 99:676-682. https://doi.org/10.1094/PDIS-05-14-0500-RE LinkWeb of ScienceGoogle Scholar
- 1977. The combined effects of temperature, leaf wetness, and inoculum concentration on infection of cucumbers with Pseudoperonospora cubensis. Can. J. Bot. 55:1478-1487. https://doi.org/10.1139/b77-174 CrossrefWeb of ScienceGoogle Scholar
- 1977. Growth and differentiation of sporangia and sporangiophores of Pseudoperonospora cubensis on cucumber cotyledons under various combinations of light and temperature. Physiol. Plant Pathol. 10:93-103. https://doi.org/10.1016/0048-4059(77)90013-3 CrossrefWeb of ScienceGoogle Scholar
- 1969. The effects of lesion development, air temperature, and duration of moist periods on sporulation of Pseudoperonospora cubensis in cucumbers. Isr. J. Bot. Natl. Counc. Res. Dev. 18:135-140. Google Scholar
- 1971. Dispersal and viability of sporangia of Pseudoperonospora cubensis. Trans. Br. Mycol. Soc. 57:67-74. https://doi.org/10.1016/S0007-1536(71)80081-5 CrossrefGoogle Scholar
- 2015. Resurgence of Pseudoperonospora cubensis: The causal agent of cucurbit downy mildew. Phytopathology 105:998-1012. https://doi.org/10.1094/PHYTO-11-14-0334-FI LinkWeb of ScienceGoogle Scholar
- 2022. Fungicide resistance management: Maximizing the effective life of plant protection products. Plant Pathol. 71:150-169. https://doi.org/10.1111/ppa.13467 CrossrefWeb of ScienceGoogle Scholar
- 2020. Measurements of aerial spore load by qPCR facilitates lettuce downy mildew risk advisement. Plant Dis. 104:82-93. https://doi.org/10.1094/PDIS-03-19-0441-RE LinkWeb of ScienceGoogle Scholar
- 1989. Effect of temperature, wetness duration, and inoculum density on infection and lesion development of Colletotrichum coccodes on tomato fruit. Phytopathology 79:1063-1066. https://doi.org/10.1094/Phyto-79-1063 CrossrefWeb of ScienceGoogle Scholar
- 1972. The effect of light and temperature on the sporulation of different isolates of Alternaria solani. Can. J. Bot. 50:629-634. https://doi.org/10.1139/b72-077 CrossrefGoogle Scholar
- 1995. Influence of spore density, leaf age, temperature, and dew periods on Septoria leaf spot of tomato. Plant Dis. 79:287-290. https://doi.org/10.1094/PD-79-0287 CrossrefWeb of ScienceGoogle Scholar
- 1978. Quantification of general resistance of potato cultivars and fungicide effects for integrated control of potato late blight. Phytopathology 68:1650-1655. https://doi.org/10.1094/Phyto-68-1650 CrossrefWeb of ScienceGoogle Scholar
- 2019. Fungicides for control of downy mildew on pickling cucumber in Michigan. Plant Health Prog. 20:165-169. https://doi.org/10.1094/PHP-04-19-0025-RS LinkWeb of ScienceGoogle Scholar
- 2011. Dynamics of Pseudoperonospora cubensis sporangia in commercial cucurbit fields in Michigan. Plant Dis. 95:1392-1400. https://doi.org/10.1094/PDIS-11-10-0799 LinkWeb of ScienceGoogle Scholar
- 2014. Relationships between airborne Pseudoperonospora cubensis sporangia, environmental conditions, and cucumber downy mildew severity. Plant Dis. 98:674-681. https://doi.org/10.1094/PDIS-05-13-0567-RE LinkWeb of ScienceGoogle Scholar
- 2022. First cucurbit downy mildew spores identified in air samples in Bay and Saginaw counties. Michigan State University Extension. https://www.canr.msu.edu/news/first-cucurbit-downy-mildew-spores-identified-in-air-samples-bay-and-saginaw-counties Google Scholar
- 2023. An evaluation of year-to-year fungicide efficacy and cultivar resistance combined with fungicide programs to manage cucumber downy mildew. Crop Prot. 168:106176. https://doi.org/10.1016/j.cropro.2022.106176 CrossrefWeb of ScienceGoogle Scholar
- 1975. Blitecast: A computerized forecast of potato late blight. Plant Dis. Rep. 59:95-98. Web of ScienceGoogle Scholar
- 1989. Zoosporogenesis in Pseudoperonospora cubensis, the causal agent of cucurbit downy mildew. Nord. J. Bot. 8:497-504. https://doi.org/10.1111/j.1756-1051.1989.tb00527.x CrossrefWeb of ScienceGoogle Scholar
- 1978. FAST, a forecast system for Alternaria solani on tomato. Phytopathology 68:1354-1358. https://doi.org/10.1094/Phyto-68-1354 CrossrefWeb of ScienceGoogle Scholar
- 2000. Optimal fungicide management of purple spot of asparagus and impact on yield. Plant Dis. 84:525-530. https://doi.org/10.1094/PDIS.2000.84.5.525 LinkWeb of ScienceGoogle Scholar
- 1998. Temperature effects on developmental stages of isolates from three clonal lineages of Phytophthora infestans. Phytopathology 88:837-843. https://doi.org/10.1094/PHYTO.1998.88.8.837 LinkWeb of ScienceGoogle Scholar
- 2016. Regional and temporal population structure of Pseudoperonospora cubensis in Michigan and Ontario. Phytopathology 106:372-379. https://doi.org/10.1094/PHYTO-02-15-0043-R LinkWeb of ScienceGoogle Scholar
- 1997. DMCAST: A prediction model for grape downy mildew development. Viticult. Enol. Sci. 52:182-189. Google Scholar
- 1992. The Development and Implementation of TOM-CAST. Ministry of Agriculture and Food, Ontario, Canada. Google Scholar
- 2012. The genetic structure of Pseudoperonospora cubensis populations. Plant Dis. 96:1459-1470. https://doi.org/10.1094/PDIS-11-11-0943-RE LinkWeb of ScienceGoogle Scholar
- 1993. Evaluation of potato late blight forecasts modified to include weather forecasts: A simulation analysis. Phytopathology 83:103-108. https://doi.org/10.1094/Phyto-83-103 CrossrefWeb of ScienceGoogle Scholar
- 2011. The cucurbit downy mildew pathogen Pseudoperonospora cubensis. Mol. Plant Pathol. 12:217-226. https://doi.org/10.1111/j.1364-3703.2010.00670.x CrossrefWeb of ScienceGoogle Scholar
- 1977. The effect of nitrogen fertilization on the expression of slow-mildewing resistance in Knox wheat. Phytopathology 67:1051-1056. https://doi.org/10.1094/Phyto-67-1051 CrossrefWeb of ScienceGoogle Scholar
- 2022. Duration of downy mildew control achieved with fungicides on cucumber under Florida field conditions. Plant Dis. 106:1167-1174. https://doi.org/10.1094/PDIS-03-21-0507-RE LinkWeb of ScienceGoogle Scholar
- 2017. Effects of temperature and moisture on sporulation and infection by Pseudoperonospora cubensis. Plant Dis. 101:562-567. https://doi.org/10.1094/PDIS-09-16-1232-RE LinkWeb of ScienceGoogle Scholar
- 2016. Development of a grower-conducted inoculum detection assay for management of grape powdery mildew. Plant Pathol. 65:238-249. https://doi.org/10.1111/ppa.12421 CrossrefWeb of ScienceGoogle Scholar
United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) . 2020. Vegetables 2019 Summary. https://www.nass.usda.gov/Publications/Todays_Reports/reports/vegean20.pdf (accessed November 29, 2022). Google Scholar