Weather-based predictive modeling of Cercospora beticola infection events in sugar beet in Belgium

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 beet-growing regions during the critical infection period (June to August), optimum weather conditions conducive to CLS we... Mehr ...

Verfasser: El Jarroudi, Moussa
Chairi, Fadia
Kouadio, Louis
Antoons, Kathleen
Sallah, Abdoul-Hamid Mohamed
Fettweis, Xavier
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Verlag/Hrsg.: MDPI AG
Schlagwörter: Cercospora beticola / fungal foliar disease / plant disease risk / integrated plant disease management
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28962058
Datenquelle: BASE; Originalkatalog
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Link(s) : https://research.usq.edu.au/item/q6qqv/weather-based-predictive-modeling-of-cercospora-beticola-infection-events-in-sugar-beet-in-belgium