Spatial distribution and identification of potential risk regions to rice blast disease in different rice ecosystems of Karnataka.

ABSTRACT: Rice is a globally important crop and highly vulnerable to rice blast disease (RBD). We studied the spatial distribution of RBD by considering the 2-year exploratory data from 120 sampling sites over varied rice ecosystems of Karnataka, India. Point pattern and surface interpolation analyses were performed to identify the spatial distribution of RBD. The spatial clusters of RBD were generated by spatial autocorrelation and Ripley's K function. Further, inverse distance weighting (IDW), ordinary kriging (OK), and indicator kriging (IK) approaches were utilized to generate spatial maps by predicting the values at unvisited locations using neighboring observations. Hierarchical cluster analysis using the average linkage method identified two main clusters of RBD severity. From the Local Moran

SUBMITTER: Amoghavarsha C 

PROVIDER: S-EPMC9076900 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature