Monilinia Control in Stone Fruit Using Predictive Models and Prophylactic Practices

Stone fruit production in Catalonia has risen, increasing the need for sustainable Monilinia control. This project develops predictive models, prophylactic measures, and decision-support tools to reduce reliance on calendar-based fungicide applications. It validates a predictive model for Monilinia, assesses fungicide resistance, evaluates weather station data from DARPA and on-farm networks, tests application timing relative to rainfall, and evaluates field inoculum removal. Results show the model is effective and operational, no widespread resistance detected, and DARPA data are not reliable for on-farm use. A regional network of monitoring stations was established, and practical guidelines and training were delivered.