2024•Journal of Natural Science ReviewOpen access

Evaluation of Wheat Genotypes for Slow Rusting Resistance to Stripe Rust (Puccinia Striiformis) in Afghanistan

Muhammad Rafi Bawari, Abdul Bari Stanikzai

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Abstract

Stripe rust (Puccinia striiformis) is the most common wheat rust disease in wheat-producing areas of Afghanistan. Durable resistance based on partial resistance is an important, eco-friendly, and effective way to manage stripe rust (Puccinia striiformis). The present study was conducted during 2019-20 and 2020-21 to reveal variability for field-based partial resistance to stripe rust among different varieties/genotypes at (ARIA) Research Farm, Bin-Hisar, Kabul. Partial resistance genotypes were evaluated through Final Rust Severity (FRS), Area under Disease Progress Curve (AUDPC), Infection Rate (r), Coefficient of Infection (CI), and Relative Area under Disease Progress Curve (rAUDPC). Genotypes 22, 26, 27, 32, and 43, consistently resistant to stripe rust in both crop seasons, were the most promising. Likewise, the genotypes that showed MS type of reaction and their severity was not beyond the 40MS during both the crop seasons indicated slow rusting behavior were genotypes no 14, 16, 20, 21, 23, 34, and 39. The average infection rate and CDL values of stripe rust development in two crop seasons indicated promising highly resistant and slow rusting behavior of varieties/genotypes.

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Stripe rust (Puccinia striiformis) is the most common wheat rust disease in wheat-producing areas of Afghanistan. Durable resistance based on partial resistance is an important, eco-friendly, and effective way to manage stripe rust (Puccinia striiformis). The present study was conducted during 2019-20 and 2020-21 to reveal variability for field-based partial resistance to stripe rust among different varieties/genotypes at (ARIA) Research Farm, Bin-Hisar, Kabul. Partial resistance genotypes were evaluated through Final Rust Severity (FRS), Area under Disease Progress Curve (AUDPC), Infection Rate (r), Coefficient of Infection (CI), and Relative Area under Disease Progress Curve (rAUDPC). Genotypes 22, 26, 27, 32, and 43, consistently resistant to stripe rust in both crop seasons, were the most promising. Likewise, the genotypes that showed MS type of reaction and their severity was not beyond the 40MS during both the crop seasons indicated slow rusting behavior were genotypes no 14, 16, 20, 21, 23, 34, and 39. The average infection rate and CDL values of stripe rust development in two crop seasons indicated promising highly resistant and slow rusting behavior of varieties/genotypes.

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Available abstract

Stripe rust (Puccinia striiformis) is the most common wheat rust disease in wheat-producing areas of Afghanistan. Durable resistance based on partial resistance is an important, eco-friendly, and effective way to manage stripe rust (Puccinia striiformis). The present study was conducted during 2019-20 and 2020-21 to reveal variability for field-based partial resistance to stripe rust among different varieties/genotypes at (ARIA) Research Farm, Bin-Hisar, Kabul. Partial resistance genotypes were evaluated through Final Rust Severity (FRS), Area under Disease Progress Curve (AUDPC), Infection Rate (r), Coefficient of Infection (CI), and Relative Area under Disease Progress Curve (rAUDPC). Genotypes 22, 26, 27, 32, and 43, consistently resistant to stripe rust in both crop seasons, were the most promising. Likewise, the genotypes that showed MS type of reaction and their severity was not beyond the 40MS during both the crop seasons indicated slow rusting behavior were genotypes no 14, 16, 20, 21, 23, 34, and 39. The average infection rate and CDL values of stripe rust development in two crop seasons indicated promising highly resistant and slow rusting behavior of varieties/genotypes.

Key concepts: Puccinia striiformis, Stripe rust, Biology, Resistance (ecology), Genotype, Rust (programming language), Horticulture, Agronomy

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Evaluation of Wheat Genotypes for Slow Rusting Resistance to Stripe Rust (Puccinia Striiformis) in Afghanistan — Research Paper | ScholarLens