Estimation of Disease Severity and Screening of Sheath Blight Resistant Cultivar among Indigenous Rice Genotypes
Year: 2025
Type: article
Abstract: Sheath blight of rice caused by Rhizoctonia solani is a major disease that causes substantial yield loss of production globally. Development and use of resistant cultivars is a cost-effective strategy to manage the disease. The present study encompasses 43 rice germplasms that were evaluated for sheath blight resistance during 2022-2024 in Ranadevi farm of Centurion University of Technology and Management, Paralakhemundi, Odisha. Evaluation was conducted under natural field conditions supplemented with artificial inoculation of the pathogen. Disease severity was measured using a 0-5 disease grading scale. The classification of genotypes was carried out using Percent Disease Index (PDI), Area Under Disease Progress Curve (AUDPC), and Genotypic Category (GC). Disease modeling was established through the Gompertz model, RF (Random Forest), and ANN (Artificial Neural Network) models. Some of the genotypes like Swarna Subhagya, CR 1017, and NLR 33892 indicated consistent resistance or moderate resistance between seasons, having lower AUDPC value (<400), whereas, number of famous varieties (>15), such as IR 64, MTU 1010 and CR Dhan 308, recorded high susceptibility with AUDPC of more than 1500 and GC score of 5. Also, disease progression was well fitted within the different categories of resistance (R2 = 0.9747 - 0.9963) using the Gompertz model where whereas in the machine learning model, resistance responses were categorized. Further, compared to the test accuracy of the (Random Forest) RF classifier, which was 76.92 per cent, the ANN (Artificial Neural Network) model produced an accuracy of 81 per cent.
DOI: 10.14419/qs180j42
Authors: Kumar Avinash Biswal, Siddhartha Das, Bikramjeet Ghose, Soumik Ray, Nirakar Ranasingh, Rajeeb Lochan Moharana, Arnab Adhikary
Language: English
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4415104502
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