Weather-Based Predictive Modeling of Cercospora beticola Infection Events in Sugar Beet in Belgium
peer reviewed ; Cercospora leaf spot (CLS; caused by Cercospora beticola Sacc.) is the most widespread and damaging foliar disease of sugar beet. Early assessments of CLS risk are thus pivotal to the success of disease management and farm profitability. In this study, we propose a weather-based modelling approach for predicting infection by C. beticola in sugar beet fields in Belgium. Based on reported weather conditions favoring CLS epidemics and the climate patterns across Belgian sugar beetgrowing regions during the critical infection period (June to August), optimum weather conditions cond... Mehr ...
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Dokumenttyp: | journal article |
Erscheinungsdatum: | 2021 |
Verlag/Hrsg.: |
MDPI AG
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Schlagwörter: | Cercospora beticola / fungal foliar disease / plant disease risk / integrated plant disease management / Life sciences / Agriculture & agronomy / Sciences du vivant / Agriculture & agronomie |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26593055 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/263723 |