行进中国｜治水稻病，为何需要“息壤”？

Core Viewpoint - The integration of advanced computing power and AI in agricultural research is transforming the approach to combating rice viruses, enhancing efficiency and precision in breeding disease-resistant varieties, ultimately contributing to national food security [2][5][6]. Group 1: Virus Impact on Rice Production - Rice stripe virus can cause a yield reduction of 20%-30% or even total crop failure, significantly affecting farmers' livelihoods and national food security [2]. - Researchers are focused on understanding the pathogenic mechanisms of rice viruses and identifying disease-resistant genes to minimize farmers' losses [2]. Group 2: Advancements in Research Methodology - The collaboration between Fujian Agriculture and Forestry University and China Telecom's Tianyi Cloud introduced the "Xirang" integrated computing service platform, enhancing computational capabilities for agricultural research [3][6]. - The research team can now utilize up to 100 computing nodes simultaneously, drastically reducing the time required for complex calculations from months to days [3][5]. Group 3: AI and Precision Breeding - The introduction of AI algorithms allows researchers to identify key genes and predict virus protein structures within hours, moving from trial-and-error methods to precise design [5][6]. - The platform has enabled significant reductions in analysis time, exemplified by the decrease from two months to 11 hours for analyzing 12,000 rice virus protein sequences [5]. Group 4: Future Implications for Food Security - The integration of AI and high-performance computing is seen as a new driving force for agricultural research, enhancing the ability to predict and respond to viral outbreaks, thereby securing food production [6][7]. - The advancements in computational resources are expected to facilitate more innovative research approaches, ultimately contributing to the stability of national food supplies [7][8].