Johnson Melissa Anne, Hollingsworth Robert, Fortna Samuel, Aristizábal Luis F, Manoukis Nicholas C
Oak Ridge Institute for Science and Education; Daniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture-Agricultural Research Service;
Daniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture-Agricultural Research Service.
J Vis Exp. 2018 Mar 19(133):57204. doi: 10.3791/57204.
Coffee berry borer (CBB) is the most devastating insect pest for coffee crops worldwide. We developed a scientific monitoring protocol that is aimed at capturing and quantifying the dynamics and impact of this invasive insect pest as well as the development of its host plant across a heterogeneous landscape. The cornerstone of this comprehensive monitoring system is timely georeferenced data collection on CBB movement, coffee berry infestation, mortality by the fungus Beauveria bassiana, and coffee plant phenology via a mobile electronic data recording application. This electronic data collection system allows field records to be georeferenced through built-in global positioning systems, and is backed by a network of weather stations and records of farm management practices. Comprehensive monitoring of CBB and host plant dynamics is an essential part of an area-wide project in Hawaii to aggregate landscape-level data for research to improve management practices. Coffee agroecosystems in other parts of the world that experience highly variable environmental and socioeconomic factors will also benefit from implementing this protocol, in that it will drive the development of customized integrated pest management (IPM) to manage CBB populations.
咖啡果小蠹是全球咖啡作物最具毁灭性的害虫。我们制定了一项科学监测方案,旨在捕捉和量化这种入侵害虫的动态及影响,以及其寄主植物在异质景观中的生长情况。这个综合监测系统的核心是通过移动电子数据记录应用程序,及时收集关于咖啡果小蠹移动、咖啡果受侵染情况、球孢白僵菌所致死亡率以及咖啡树物候的地理参考数据。这种电子数据收集系统可通过内置的全球定位系统对实地记录进行地理参考定位,并以气象站网络和农场管理实践记录为后盾。对咖啡果小蠹和寄主植物动态进行全面监测是夏威夷一个区域项目的重要组成部分,该项目旨在汇总景观层面的数据用于研究,以改进管理措施。世界其他地区的咖啡农业生态系统,若面临高度多变的环境和社会经济因素,实施该方案也将受益,因为它将推动定制化综合虫害管理的发展,以控制咖啡果小蠹种群数量。