Composition and evaluation of a novel web-based decision support system for grape black rot control

Abstract

Black rot on grapevine is a fungal disease c a u s e d b y P h y l l o s t i c t a a m p e l i c i d a (s y n. Guignardia bidwellii) affecting grape leaves as well as clusters. A novel black rot decision support system termed VitiMeteo Black rot was assembled based on existing sub-models and incorporated into the established VitiMeteo forecast and decision support platform. Based on local weather data and a 5-day weather forecast, VitiMeteo Black rot simulates the relative susceptibility of grape clusters, the occurrence

Accurate prediction of black rot epidemics in vineyards using a weather-driven disease model

“…Different methods have been developed for improving the scheduling of fungicide applications against black rot . Most of these methods have been based on the work of Spotts, who developed a table describing the combinations of hours of wetness and temperatures necessary for G. bidwellii infection.…”

“…Gadoury et al also developed a set of simple rules to define the criteria for black rot infection based on a combination of wetness duration and temperature. Recently, Molitor et al developed a disease prediction system based on suitable conditions for infections and duration of incubation . The model was validated against 330 observed disease assessment data on leaves only; the model failed to predict a true infection in 41 of the 165 assessments with new disease symptoms and predicted an infection that did not occur in 79 of the 165 assessments with no new disease symptoms.…”

“…In addition, the model quantifies infection risk, while the Spotts‐based methods only predict whether an infection can or cannot occur. The model of Molitor et al distinguishes light, moderate and severe infections, but that aspect of the model has not been validated. The present work demonstrates that the model of Rossi et al is highly accurate and robust in predicting the infection periods and dynamics of black rot epidemics.…”

“…After fruit set, applications continue at about 10 day intervals as long as the weather is rainy and humid; sprays can be discontinued when the weather turns dry . To optimise fungicide timing, researchers have developed simple disease forecasting models based on the length of the wetness period and the temperature conditions required for infection …”

VitiMeteo and Agrometeo: Two platforms for plant protection management based on an international collaboration

“…VitiMeteo-Plasmopara and VitiMeteo-BlackRot are both mechanistic models based on the biological development of Plasmopara [1][2][3] and Guignardia bidwellii [4] respectively. VitiMeteo-Oidium is a statistical model that indicates an infection risk and enable the grower to adapt the spray intervals according to the risk, and to the last fungicide applied [5,6].…”