Estimating the Climate Niche of Sclerotinia sclerotiorum Using Maximum Entropy Modeling.

ABSTRACT: Sclerotinia sclerotiorum, a fungal pathogen, causes world-wide crop losses and additional disease management strategies are needed. Modeling the climate niche of this fungus may offer a tool for the selection of biological control organisms and cultural methods of control. Maxent, a modeling technique, was used to characterize the climate niche for the fungus. The technique requires disease occurrence data, bioclimatic data layers, and geospatial analysis. A cross-correlation was performed with ArcGIS 10.8.1, to reduce nineteen bioclimatic variables (WorldClim) to nine variables. The model results were evaluated by AUC (area under the curve). A final model was created with the random seed procedure of Maxent and gave an average AUC of 0.935 with an AUC difference of -0.008. The most

SUBMITTER: Cohen SD 

PROVIDER: S-EPMC10532795 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature