新疆小麦条锈病发生现状及综合防控对策

Wheat stripe rust in Xinjiang: current status and integrated management strategies

  • 摘要: 【目的】 小麦条锈病(Puccinia striiformis f.sp.tritici)是小麦生产的重大威胁,影响粮食安全。新疆该病害发生具有独特性和复杂性。 【方法】 基于文献检索与实地研究,系统分析新疆小麦条锈病的发生现状、流行规律及防控瓶颈,并提出综合防控对策。 【结果】 我国新疆小麦条锈病呈波动性流行趋势,病原菌群体毒性多样且遗传结构复杂,优势小种(如CYR34)威胁显著。跨境菌源交流(尤其与中亚国家)加剧了病害传播风险。病原菌毒性变异导致品种抗性快速丧失;长期单一使用三唑类杀菌剂诱发抗药性(如CYP51基因Y134F突变);监测体系覆盖不足,跨境传播路径不明,国际合作机制缺失。可进一步分区治理与品种优化,开展农业生态调控,科学用药并重视抗性治理;智能监测与国际合作,构建区域性网络。 【结论】 新疆小麦条锈病防控需以“分区治理、多技协同、全程防控”为核心,通过智能化监测预警和区域协同机制,实现病害可持续治理,保障粮食安全。

     

    Abstract: 【Objective】 Wheat stripe rust (P.striiformis) poses a major threat to global wheat production, severely impacting food security.Xinjiang, as a key independent epidemic area in China and a hub for pathogen exchange with Central Asia, exhibits unique and complex disease dynamics. 【Methods】 This paper systematically analyzes the current status, epidemic patterns, and control challenges of wheat stripe rust in Xinjiang through literature review and field studies, proposing integrated management strategies. 【Results】 The disease demonstrates fluctuating epidemic trends in Xinjiang, with highly diverse pathogen virulence and complex genetic structures.Dominant races (e.g., CYR34) present significant threats.Cross-border pathogen migration (particularly with Central Asian countries) heightens transmission risks.Key challenges include: Rapid loss of varietal resistance due to pathogen virulence shifts; Triazole fungicide resistance (e.g., CYP51 Y134F mutation) from prolonged singular usage; Inadequate monitoring coverage, undefined cross-border transmission routes, and lack of international cooperation mechanisms.Recommended strategies: Zoned management and varietal optimization; Agro-ecological regulation techniques; Scientific fungicide application with resistance management; Intelligent monitoring systems and regional collaborative networks. 【Conclusion】 Sustainable control of wheat stripe rust in Xinjiang requires a core strategy of "zoned management, multi-technology integration, and full-process prevention," supported by AI-driven monitoring and regional coordination to safeguard food security.

     

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