Abstract
Abstract
Stripe rust is one of the most common diseases challenging the safe production of wheat. Rapid identification and analysis of urediospores, responsible for disease transmission, is the key to preventing and controlling stripe rust. In this study, combined with chemical analysis, spectral analysis method and finite element simulation of the intrinsic characteristics of urediospore were studied in details. Firstly, a comparative analysis of the urediospore components was carried out by HPLC-MS, and a total of 31 components were extracted. On this basis, a 3D urediospore model was established by using FEM software, the characteristic frequencies and modes were calculated. The results shown that and the resonance frequencies and modes of the elliptical structure were lower and more diverse. The method and conclusion can lay a theoretical foundation for the accurate monitoring and early control of wheat stripe rust urediospores.
Subject
Computer Science Applications,History,Education
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