2022 Crop Profile for Cucumber in North Carolina

CucCAP Crop and Disease Management specialists Lina Quesada-Ocampo and Jonathan Schultheis collaborated with other Cooperative Extension specialists in NC to release a new full crop profile for the NC cucumber. The profile details worker activities; production practices, counties, and facts; pests including insects, pathogens, weeds, nematodes, and mites. Each pest is outlined by name (common and scientific), importance, symptoms, chemical controls, products/brands, biological controls, physical controls, and cultural controls.

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Integrated Disease Management Team | 2021 Progress Report

CucCAP researchers and stakeholders met on October 27, 28 & 29, 2022 to present and discuss the grant’s accomplishments, ongoing research, plans and expectations. Lina Quesada-Ocampo (NC State University), Mary Hausbeck (Michigan State University), Chris Smart (Cornell University), Anthony Keinath (Clemson University), Shaker Kousik (USDA-ARS), Jonathan Schultheis (NC State University), Daniel Tregeagle (NC State University), and Mary Lorscheider (NC State University Extension communicator) reported on the Integrated Disease Management Team’s progress.

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NC Vegetable Grower’s Association Ag Expo

CucCAP scientists Lina Quesada-Ocampo and Jonathan Schultheis will present:
Disease Management and Downy Mildew, Cultivars to Consider Growing in North Carolina
Pumpkin Spacing Considerations: Effects on Yield, Size and Fruit Uniformity
Watermelon Cultivar Evaluations in Fields with Minimal or High Levels of Fusarium Wilt
Potential Fusarium Wilt Management Strategies

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CucCAP scientists translate genomic studies into novel detection method for precision management of downy mildew outbreaks

Downy mildew caused by Pseudoperonospora cubensis is the most destructive foliar disease affecting cucurbit crops.  Genomic studies by Dr. Lina Quesada-Ocampo and colleagues at North Carolina State University showed that different isolates preferentially infect different cucurbit crops.  From this information, a multiplex PCR-based assay was combined with spore trapping to identify which crops are most at risk.  These results can facilitate timely and crop-specific fungicide application prior to appearance of symptoms in sentinel plots.

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