Abstract: 【Objective】 This project aims to develop a molecular detection method for carrying out the detection and analysis of field infection dynamic of jujube mosaic virus, so that we could explore the optimal time, and lay the foundation for the efficient control of the virus. 【Methods】 On the basis of obtaining the complete genome sequence accurately, specific primers were designed with RNA5 genome sequence as template. The specificity and sensitivity of primers were verified byRT-PCR technology, and the molecular detection technology was established by optimizing the reaction system. And also, the technology was applied to detect the infection dynamics of jujube mosaic virus. 【Results】 Experimental results showed that the lowest concentration of the virus was 4.79 pg/μL, which could be detected before the disease. The key time node of preventing jujube virus disease from late May to early June was identified by tracking and analyzing the field infection dynamics. 【Conclusion】 The established technique can detect and identify the pathogen quickly and accurately, and can be used to track and detect the infection dynamics between fields of jujube mosaic disease. Its establishment provides technical support for epidemic monitoring and early prevention of jujube mosaic virus disease in Xinjiang jujube planting area.