Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot.

ABSTRACT:

Background

Frogeye leaf spot is a disease of soybean, and there are limited sources of crop genetic resistance. Accurate quantification of resistance is necessary for the discovery of novel resistance sources, which can be accelerated by using a low-cost and easy-to-use image analysis system to phenotype the disease. The objective herein was to develop an automated image analysis phenotyping pipeline to measure and count frogeye leaf spot lesions on soybean leaves with high precision and resolution while ensuring data integrity.

Results

The image analysis program developed measures two traits: the percent of diseased leaf area and the number of lesions on a leaf. Percent of diseased leaf area is calculated by dividing the number of diseased pixels by the total number of leaf

SUBMITTER: McDonald SC 

PROVIDER: S-EPMC9382788 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature