Figure 1
From: Planting period is the main factor for controlling maize rough dwarf disease
Effects of field and landscape variables on MRDV incidence on early and late planting periods. Generalized linear models (GLMs) using a binomial distribution were used in the model average and multi-model inference to select the best predictor model for MRDV incidence. The grey bars show the relative importance of each predictor variable (i.e., the sum of Akaike weights of the models in which each variable is optimized following the criterion ΔAIC < 2). The green graphs show the effects of significant variables (*) on MRDV models and how they varied depending on the planting period represented by the confidence intervals that contain a wide range of MRDV incidences. Therefore, the differences in incidence caused the interval widths to vary, and this effect was stronger in the late planting period.
