The Hawaii Protocol for Scientific Monitoring of Coffee Berry Borer: a Model for Coffee Agroecosystems Worldwide.

The Hawaii Protocol for Scientific Monitoring of Coffee Berry Borer: a Model for Coffee Agroecosystems Worldwide.
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DOI:
10.3791/57204
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发表时间:
2018-03-19
期刊:
Journal of visualized experiments : JoVE
影响因子:
--
通讯作者:
Manoukis NC
Manoukis NC
中科院分区:
其他
文献类型:
--
作者:
Johnson MA;Hollingsworth R;Fortna S;Aristizábal LF;Manoukis NC

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咖啡果蛀虫(CBB)是全球咖啡作物最具破坏性的害虫。我们开发了一个科学的监测协议,旨在捕捉和量化这种入侵性昆虫害虫的动态和影响,以及其宿主植物在异质景观中的发展。这一综合监测系统的基石是通过移动的电子数据记录应用程序及时收集关于CBB运动、咖啡浆果侵染、真菌球孢白僵菌死亡率和咖啡植物物候的地理参考数据。这一电子数据收集系统可通过内置的全球定位系统为实地记录提供地理参考,并得到气象站网络和农场管理做法记录的支持。CBB和寄主植物动态的综合监测是夏威夷一个区域范围项目的重要组成部分,该项目旨在收集植物水平的数据,用于研究,以改善管理实践。世界其他地区的咖啡农业生态系统经历了高度可变的环境和社会经济因素,也将受益于实施该协议,因为它将推动定制的综合害虫管理(IPM)的发展,以管理CBB种群。
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.
DOI: 10.1117/1.jrs.11.046005
发表时间: 2017-10-13
影响因子: 1.7
作者:
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DOI: 10.3390/insects3030640
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期刊: Insects
影响因子: 3
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发表时间: 2012-01-01
影响因子: 1.5
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发表时间: 2011
期刊: Journal of insect science (Online)
影响因子: --
作者:
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通讯作者: Vega FE