The goal of this proposal is to develop predictive phenological models for blueberry bloom, aimed at improving insect pest management, while optimizing pollination services.Objective 1. (Research). Determine plum curculio management and yield effects of late bloom pollination removal, assess bee community activity throughout bloom, and develop cost-benefit analysis, and determine optimal pollination duration.Objective 2. (Research). Create a bloom phenology model as a predictor for plum curculio activity.Objective 3. (Extension). Deliver information among stakeholders.
IMPROVING MANAGEMENT OF A KEY INSECT PEST OF BLUEBERRIES THROUGH OPTIMIZATION OF POLLINATION SERVICES
Objective
Investigators
Rodriguez-Saona, C. R.; Oudemans, PE, .; Govindasamy, RA, .; Shope, JA, .; Yoshimura Ferguson, MA, .
Institution
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Start date
2024
End date
2026
Funding Source
Project number
NJ2024-03441
Accession number
1032698