Pseudoperonospora cubensis, the causal agent of cucurbit downy mildew (CDM), was confirmed on cucumbers in Lenoir county on June 15. The sample was part of the CDM sentinel plots yearly deployed by the NC State Vegetable Pathology Lab.
CucCAP Team
Contributions to the CucCAP project by the Bioinformatics Team, Cucurbit Crop Breeding Teams, and the Integrated Disease Management Team.
CucCAP scientists identify possible sources of resistance to bacterial fruit blotch in watermelon
Bacterial fruit blotch caused by Acidovorax citrulli is a serious disease of watermelon (Citrullus lanatus) in the U.S. Currently, there are no varieties resistant to the disease. In a 3-year study, 1452 accessions and cultivars were tested for resistance to fruit blotch at the immature fruit stage, where resistance is most important for growers.
Downy Mildew Spores Identified in Michigan
First cucurbit downy mildew spores identified in air samples in Allegan County
by: Mary Hausbeck, Annika Peterson and Doug Higgins
Watermelon researchers identify metabolic pathways and genome sequence
CucCAP researcher Amnon Levi collaborated with other scientists at the USDA ARS to develop a pioneering concept of using big data and computational biology to identify and catalog all of the phytochemicals that exist in edible fruit.
CucCAP researches reveal Phytophthora capsici loci involved in mating type and mefenoxam sensitivity
In this study, researchers at Cornell collected 252 strains of the pathogen from across New York State and sequenced portions of their DNA in order to characterize the genetic structure of the pathogen population.
Meet the CucCAP Melon Team
The CucCAP melon team is breeding melons for disease resistance to Powdery mildew, Fusarium wilt, and Cucurbit yellow stunting disorder virus.
Meet the CucCAP Squash Team
CucCAP researchers develop high-throughput method for quantification of pathogen growth
Researchers at Michigan State University used a fluorescent isolate of the broad host range pathogen, Phytophthora capsici, to develop a high-throughput, microtiter plate assay for replicated quantification of pathogen growth on plant tissue in real time. This method, which can detect pathogen growth prior to development of symptoms, can assist with screening for disease resistance, mapping of resistance loci, testing efficacy of control measures, or elucidation of fundamental host-pathogen interactions.
