Combining pathogen sequencing and disease epidemic data, the research screened biocontrol strains, built disease early warning models, and integrated a full green prevention and control technical system for large-scale promotion.
Core Findings
Decoded the genetic background of plateau grape pathogens and clarified disease epidemic patterns
Screened indigenous biocontrol bacteria and constructed a big data-based disease early warning model
Integrated a full green prevention and control system to drastically cut pesticide usage; awarded the First Class Award of the 2024 Yunnan Provincial Science and Technology Progress Prize
Research Progress
Research on Key Green Prevention and Control Technologies for Grape Diseases in Low-Latitude Plateaus and Their Industrial Applications
👤 Yunnan Key Laboratory of Biological Big Data
📅 四月 18, 2024
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Summary:Based on pathogen genomes and field disease big data, the team developed a complete set of green grape disease prevention and control technologies to reduce chemical pesticide application, with achievements winning the First Class Award of Yunnan Provincial Science and Technology Progress Prize.