Weather-Based Predictive Modeling of Cercospora beticola Infection Events in Sugar Beet in Belgium.

ABSTRACT: 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 were first identified. Subsequently, 14 models differing according to the combined thresholds of air temperature (T), relative humidity (RH), and rainfall (R) being met simultaneously over uninterrupted

SUBMITTER: El Jarroudi M 

PROVIDER: S-EPMC8470031 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature