Decision support systems to improve direct control methods of codling moth (BIOFRUITNET Practice Abstract)

Summary in the original language of the document

A combined strategy of various direct (granuloviruses; nematodes) and indirect measures (population models, pheromone traps) can lead to a reduction in codling moth populations in the long term.
Practical recommendation
Codling moth population model:
• Forecasting models such as the Fruitweb model can be used to predict treatment dates and reduce the need for spray treatments.
• Codling moth forecasting models provide predictions of possible egg-laying and hatching dates and help fruit growers make more accurate codling moth treatment decisions.
• The Fruitweb model shows the current course of a codling moth population (moth flight, egg laying, larval development) in the orchard; codling moth development depends on climate, location/site, temperature and day length.
• The Fruitweb model is based on the codling moth model by Graf, Höhn, Höpli and Kuske (2018).
• For targeted and optimized control, own infestation monitoring (attractant traps) and the recommendations from agricultural advisors should always be used additionally.
Explanation of the codling moth Fruitweb model (Picture 1)
• The forecast models are calculated with approximate population strengths; the respective local weather conditions are included in the calculation; the calculation is performed retrospectively with the measured weather data and prospectively with the weather forecasts.
• The upper diagram shows the course of the borings (red dotted line), as well as the number of larvae in the respective larval stages (larval stages L1-L5: various shades of orange and yellow, see legend on the bottom).
• The middle diagram shows the daily oviposition, i.e., the number of eggs per day (red line).
• The lower diagram shows (in green) the number of fertile females per day, the flight of the females depends mainly on the weather conditions and the time of day (crepuscular).