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A Robust Disease Scoring Method to Screen Eucalyptus for Resistance Against the Aggressive Leaf Pathogen Teratosphaeria destructans .

Plant disease · 28 Apr 2023 · 10.1094/pdis-06-22-1347-re

Abstract

Shoot and leaf blight caused by Teratosphaeria destructans is one of the most devastating foliar diseases on Eucalyptus . Therefore, breeding for resistance to this disease is considered urgent. Differences in susceptibility to T. destructans have been observed in the field but a robust inoculation protocol has, until recently, been unavailable and a disease scoring method for precise phenotyping has not been established. A first objective of this study was to determine the optimal conidial concentration for T. destructans inoculations on a susceptible Eucalyptus host. This concentration was then used to determine differences in susceptibility of six genotypes of Eucalyptus grandis × E. urophylla to the pathogen by assessing the percentage of infected stomata using electron microscopy and the percentage of leaf area covered by lesions (PLACL) using image processing. In addition, we developed a disease susceptibility index (SI) of six categories ranging from highly resistant (SI = 0) to highly susceptible (SI = 1.5 to 2). The more resistant genotypes were moderately resistant, with an SI value of 0.49 to 0.54 and a PLACL of 6.5 to 9%. In contrast, the more susceptible genotype scored an SI of 1.52 and PLACL of 48%. Host susceptibility was also assessed relative to the sporulation of the pathogen. This showed that the percentage of sporulation was not significantly correlated with host resistance. Overall, the results provide the basis for rigorous screening and selection of resistant genotypes to the disease caused by T. destructans using artificial inoculation.

Plant phenotyping relevance

ユーカリの病害抵抗性を定量するため、画像処理による病斑面積測定と疾病感受性指数を開発し、人工接種によるスクリーニングへの適用基盤を示しており、表現型取得法が研究の中心である。

abstracta disease scoring method for precise phenotyping has not been established
abstractthe percentage of leaf area covered by lesions (PLACL) using image processing
abstractwe developed a disease susceptibility index (SI) of six categories
abstractthe results provide the basis for rigorous screening and selection of resistant genotypes

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