POMICS: A Simulation Disease Model for Timing Fungicide Applications in Management of Powdery Mildew of Cucurbits

Phytopathology
Z SapakV J Galea

Abstract

A weather-based simulation model, called Powdery Mildew of Cucurbits Simulation (POMICS), was constructed to predict fungicide application scheduling to manage powdery mildew of cucurbits. The model was developed on the principle that conditions favorable for Podosphaera xanthii, a causal pathogen of this crop disease, generate a number of infection cycles in a single growing season. The model consists of two components that (i) simulate the disease progression of P. xanthii in secondary infection cycles under natural conditions and (ii) predict the disease severity with application of fungicides at any recurrent disease cycles. The underlying environmental factors associated with P. xanthii infection were quantified from laboratory and field studies, and also gathered from literature. The performance of the POMICS model when validated with two datasets of uncontrolled natural infection was good (the mean difference between simulated and observed disease severity on a scale of 0 to 5 was 0.02 and 0.05). In simulations, POMICS was able to predict high- and low-risk disease alerts. Furthermore, the predicted disease severity was responsive to the number of fungicide applications. Such responsiveness indicates that the model has t...Continue Reading

References

Jul 31, 2004·Annual Review of Phytopathology·M J Jeger
Feb 25, 2009·Molecular Plant Pathology·Alejandro Pérez-GarcíaJuan A Torés
Oct 14, 2009·Phytopathology·M R CheathamK A Garrett
Aug 13, 2015·Phytopathology·Yariv Ben-Naim, Yigal Cohen
Mar 1, 2001·Plant Disease·Margaret Tuttle McGrath

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