Image-based phenotyping of spot blotch disease symptoms in wheat varieties

Abstract

We investigated the use of computer-assisted image analysis techniques for the classification and scoring of spot blotch symptoms in wheat. We compared the symptoms developed in resistant and susceptible genotypes for disease. Ning 8139 and Agra Local were selected as resistant and susceptible genotypes. We analyzed images of diseased leaves to get information about types of symptoms developed on resistant and susceptible genotypes after artificial inoculation. And found that Ning 8139 and Agra Local produced sixteen and forty spots with thirteen and fifty percent of average disease severity. We also observed that in Agra Local spots were surrounded by yellow halo and several spots coalesce with each other and formed big lesion, which were absent in Ning 8139.