Mathematical modeling of life cycles of pathogenic microorganisms as a tool to protect oilseed rape against fungal diseases
Journal Title: Rośliny Oleiste - Oilseed Crops - Year 2011, Vol 32, Issue 2
Abstract
This scientific review presents basic principles of developing mathematical models and detailed assumptions of the models Sporacle Blackleg, Improved Blackleg Sporacle, Sporacle Ezy and SimCanker module of SIPPOM_WOSR, used in decision support systems for the protection of oilseed rape against stem canker of brassicas. This paper also describes the basic assumptions of the model PASSWORD — associated with the predicting of the severity of light leaf spot and PRO_PLANT and DORIS systems associated with control of various insects on oilseed rape. This paper focuses on models forecasting life cycles of pathogenic fungi. Mathematical models mentioned above can predict maturation of fruiting bodies and the release of spores and allow to take preventive and protective measures for oilseed rape plants. Using knowledge of the actual concentration of spores in the air, the optimal time for fungicidal treatment can be found. The aim of such programs is to provide farmers with actual data on predicted maturation of fruiting bodies and the mass release of ascospores. Knowledge about these parameters allows to perform chemical treatments at optimal time. Such solutions relate to cases in which the monitored spores formed as a primary or secondary inoculum are transferred with air currents to crops in the same or the next vegetative season. This paper also presents the assumptions and the effectiveness of the comprehensive predictive model SimAsco, used for the forecasting of maturation of fruiting bodies and ascospore release of Leptosphaeria maculans and L. biglobosa, causing stem canker on winter oilseed rape in Poland.
Authors and Affiliations
Adam Dawidziuk, Małgorzata Jędryczka
Keywords
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