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ARS Home » Pacific West Area » Hilo, Hawaii » Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center » Tropical Crop and Commodity Protection Research » Research » Publications at this Location » Publication #344310

Research Project: Detection, Control and Area-wide Management of Fruit Flies and Other Quarantine Pests of Tropical/Subtropical Crops

Location: Tropical Crop and Commodity Protection Research

Title: The Hawaii protocol for scientific monitoring of coffee berry borer: a model for coffee agroecosystems worldwide

Author
item Johnson, Melissa - Orise Fellow
item Hollingsworth, Robert
item Fortna, Samuel - University Of Hawaii
item Manoukis, Nicholas

Submitted to: Journal of Visualized Experiments
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/18/2018
Publication Date: 3/19/2018
Citation: Johnson, M.A., Hollingsworth, R.G., Fortna, S., Manoukis, N. 2018. The Hawaii protocol for scientific monitoring of coffee berry borer: a model for coffee agroecosystems worldwide. Journal of Visualized Experiments. 133:e57204. doi:10.3791/57204.
DOI: https://doi.org/10.3791/57204

Interpretive Summary: A protocol to monitor coffee berry borer movement, infestation rates and stages, mortality, weather, management and coffee plant phenology via a mobile electronic data recording application is described. This system can be used to inform control methods in coffee agroecosystems worldwide.

Technical Abstract: Coffee Berry Borer (CBB) is the most devastating insect pest for coffee crops worldwide. We developed a scientific monitoring protocol 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 Beauveria bassiana fungus, and coffee plant phenology via a mobile electronic data recording application. This electronic data collection system is backed by a network of weather stations, and includes records of management practices that together can be used to inform control methods in coffee agroecosystems worldwide.