The annual CucCAP conference was held in Salinas California on March 21 and 22, 2024. Thirty-three co-PIs, lab group members, and industry collaborators attended in person with an additional 26 online to share research results, extension and outreach activities, discuss findings, and share challenges and best approaches for research and extension strategies.
CucCAP Project
Contributions to the CucCAP project by the Bioinformatics Team, Cucurbit Crop Breeding Teams, and the Integrated Disease Management Team.
Bio Fungicide Review on Winter Squash
The Smart Lab at Cornell University compared various organic controls for powdery mildew in winter squash including copper treatments.
New Cucumber Publications | 2024
CucCAP Scientists present 2024 update
The CucCAP teams presented recent progress to project stakeholders. The meeting was hosted by the CucCAP melon breeding team at the USDA-ARS Research center in Salinas California.
CucCAP scientists identify resistance loci for Fusarium wilt race 2 in wild watermelon
Genome-Wide Association Mapping and Genomic Prediction of Fusarium Wilt Race 2 Resistance in the USDA Citrullus amarus Collection
CucCAP scientists study pathogen resistances to watermelon fungicides
Watermelon is affected several pathogens and pests that are frequently controlled by SDHI compounds. Scientists from North Carolina State University compared the sensitivity of the different pathogens to various SDHIs.
Early Career Scientist Spotlight | Hunter Collins
As a Research Assistant and Field Technician in Lina Quesada’s Vegetable Pathology lab at NC State, Hunter Collins finds great value in helping to find methods to better manage diseases in vegetable crops.
CucCAP researchers identify QTL associated with resistance to Phytophthora fruit rot in cucumber
Phytophthora fruit rot is a major disease impacting pickling cucumber production for which there are no resistant varieties. Genomic approaches were performed on the cucumber core collection leading to identification and verification of several quantitative trait loci associated with resistance. The results from this work can be applied to future disease resistance studies and to assist marker-assisted selection in breeding programs.
