Optimal timing of fungicide applications on maize, soybean, and beans based on calendar and agrometeorological data

Abstract

ABSTRACT The objective of this study was to determine the best method to establish optimal timing of fungicide applications on corn (Zea mays), soybean (Glycine max), and bean plants (Phaseolus vulgaris), by comparing results based on the calendar versus agrometeorological data. The experimental design was arranged in randomised blocks with three treatments and eight repetitions. Treatments consisted of control (without application of fungicides), application of fungicides based on the calendar (after establishing the need for chemical control, sprays occurring at intervals of 15 days), or by indication of the AgroDetecta™ programme (based on agrometeorological data). The variables evaluated were: disease incidence and severity, area under the disease progress curve (AUDPC), income components, and economic return. Among the integrated disease management tools investigated, it was concluded that chemical control improves crop health and yield for corn, soybean, and bean plants, especially when timing of treatment application is based on the calendar. The programme AgroDetecta™ showed promise as a decision-making tool for the best timing to spray, but requires adjustments for commercial use.