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:
影响因子:
--
通讯作者:
Manoukis NC
中科院分区:
文献类型:
--
作者:
Johnson MA;Hollingsworth R;Fortna S;Aristizábal LF;Manoukis NC
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.
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影响因子:
1.7
作者:
Gaertner, Julie;Genovese, Vanessa Brooks;Manoukis, Nicholas C.
通讯作者:
Manoukis, Nicholas C.
影响因子:
3
作者:
Messing RH
通讯作者:
Messing RH
影响因子:
3
作者:
Aristizábal LF;Johnson M;Shriner S;Hollingsworth R;Manoukis NC;Myers R;Bayman P;Arthurs SP
通讯作者:
Arthurs SP
影响因子:
1.5
作者:
Pereira, Adriano E.;Vilela, Evaldo F.;Franca, Christiane F. M.
通讯作者:
Franca, Christiane F. M.
DOI:
10.1673/031.011.11701
发表时间:
2011
期刊:
Journal of insect science (Online)
影响因子:
--
作者:
Burbano E;Wright M;Bright DE;Vega FE
通讯作者:
Vega FE