Yan Zhanfeng, Feng Xiaojun, Wang Xing, Yuan Xiangqun, Zhang Yongjun, Yang Daibin, He Kanglai, Xie Feizhou, Wang Zhenying, Li Yiping
Key Laboratory of Plant Protection Resources and Pest Management of Ministry of Education, Key Laboratory of Integrated Pest Management on Crops in Northwestern Loess Plateau of Ministry of Agriculture and Rural Affairs, College of Plant Protection, Northwest A&F University, Yangling 712100, China.
State Key Laboratory of Crop Germplasm Innovation and Molecular Breeding, Syngenta Biotechnology (China) Co., Ltd., Beijing 102206, China.
Insects. 2025 Jun 11;16(6):620. doi: 10.3390/insects16060620.
The fall armyworm () is a highly invasive agricultural pest that has caused significant damage to maize and other crops since its initial detection in China in 2019. Understanding its invasion dynamics, migration patterns, genetic diversity, and overwintering capacity is crucial for developing effective pest management strategies. This study investigates these aspects in Shaanxi Province, a critical transitional zone between northern and southern climates in China, from 2019 to 2023. We conducted field surveys in six cities across Shaanxi to monitor the initial infestation of FAW. Migration trajectories were simulated using the HYSPLIT model, integrating pest occurrence data and meteorological information. Genetic analyses were performed on 113 FAW individuals from 12 geographical populations using mitochondrial and nuclear genes. Additionally, an overwintering experiment was conducted to assess the survival of FAW pupae under local winter conditions. The first detection dates of FAW in Shaanxi showed significant interannual variation, with a trend of delayed infestation each year. Three primary migration routes into Shaanxi were identified, originating from Sichuan, Hubei-Chongqing, and Henan. Genetic analysis revealed a predominance of the rice-strain FAW in Shaanxi, with some corn-strain variants in northern regions. The overwintering experiment indicated that FAW pupae could not survive the winter in Shaanxi, suggesting that the region does not support year-round breeding of this pest. This study provides comprehensive insights into the spatiotemporal dynamics and migration patterns of FAW in Shaanxi. The findings highlight the importance of integrated pest management approaches, including monitoring migration routes and genetic diversity, to develop targeted control measures. The inability of FAW to overwinter in Shaanxi suggests that regional climate conditions play a significant role in limiting its year-round presence, which is valuable information for designing early warning systems and sustainable pest management strategies.
草地贪夜蛾是一种极具入侵性的农业害虫，自2019年首次在中国被发现以来，已对玉米和其他作物造成了严重损害。了解其入侵动态、迁飞模式、遗传多样性和越冬能力对于制定有效的害虫管理策略至关重要。本研究于2019年至2023年在中国南北气候关键过渡地带的陕西省对这些方面进行了调查。我们在陕西的六个城市进行了实地调查，以监测草地贪夜蛾的初始侵染情况。利用HYSPLIT模型，结合害虫发生数据和气象信息，模拟了迁飞轨迹。使用线粒体和核基因对来自12个地理种群的113只草地贪夜蛾个体进行了遗传分析。此外，还进行了一项越冬实验，以评估草地贪夜蛾蛹在当地冬季条件下的存活情况。陕西草地贪夜蛾的首次发现日期显示出显著的年际变化，每年都有侵染延迟的趋势。确定了三条进入陕西的主要迁飞路线，分别来自四川、湖北—重庆和河南。遗传分析表明，陕西草地贪夜蛾以水稻型为主，北部地区有一些玉米型变种。越冬实验表明，草地贪夜蛾蛹在陕西无法越冬，这表明该地区不支持这种害虫的全年繁殖。本研究全面深入地了解了陕西草地贪夜蛾的时空动态和迁飞模式。研究结果突出了综合害虫管理方法的重要性，包括监测迁飞路线和遗传多样性，以制定有针对性的控制措施。草地贪夜蛾在陕西无法越冬，这表明区域气候条件在限制其全年存在方面起着重要作用，这对于设计预警系统和可持续害虫管理策略是有价值的信息。
