Flight Activity and Field Infestation Relationships for Coffee Berry Borer in Commercial Coffee Plantations in Kona and Kau Districts, Hawaii

Abstract

The coffee berry borer (CBB), Hypothenemus hampei Ferrari (Coleoptera: Curculionidae: Scolytinae) is a recent invader to Hawaii. To date, limited information regarding the seasonal phenology of this pest on the islands limits the implementation of integrated control strategies. As part of a coffee farmer training program, we monitored CBB flight activity in 15 coffee plantations (Kona and Kau Districts) over 10 mo with methanol-ethanol (3:1 ratio) baited traps. Concurrently, we quantified CBB infestation and penetration rates inside developing coffee berries through the end of harvest. Approximately 1 million CBB were captured, with the highest activity (e.g., >500 CBB/trap/wk) in December through February, coinciding with end of main regional harvesting periods. Relatively high activity (>250 CBB/trap/wk) was also observed during berry development, in May and June (Kona) and June and July (Kau). Field infestation rates were higher overall in Kau (9.6 ± 1.1%) compared with coffee plantations in Kona (4.7 ± 0.4%). Linear regression investigated relationships between CBB trap data and berry infestation rates. Trap catch data generally correlated better with the proportion of shallow entries (AB position) compared with deeper penetrations (CD position) or total infestation. Pearson correlation coefficients based on different parameters (i.e., region, altitude, and berry phenology) revealed positive and mostly significant correlations between these variables (R values 0.410 to 0.837). Timing peak flight activity of CBB with insecticide applications will help coffee growers improve pest control. The ability of trap data to calculate reliable economic (action) thresholds for the CBB is discussed.

Keywords: Coffea arabica; Monitoring traps; ethanol; integrated pest management; seasonal phenology.