The Practical Application of Agricultural Genetic Breeding Technology in Elm Cultivation Based on Big Data Analysis

In order to explore the role of agricultural genetic breeding technology in elm cultivation, this paper improves big data technology. According test verification requirements, based on Monte Carlo idea, a TDSTI statistical method is proposed, and set judgment criteria for significance spatio-temporal autocorrelation given. Moreover, make observed variables time lag series have clearer geographical significance, obtained weight matrix subjected row standardization. addition, combines study cultivation trees. Finally, conducts correlation analysis between distance generated by cluster leaf shape traits SSR molecular markers. The research results show that can play an important elm.