Pest Monitoring Technology For Predicting Pest Attack Intensity Hypothenemus Hampei Ferr. (Coleoptera: Scolytidae) of Arabica Coffee Plant In Enrekang, South of Sulawesi
S Sulaeha, N Agus, Hardy, S Sjam, and M Melina

Pest and Plant Diseases, Faculty of Agriculture, Hasanuddin University, Makassar 90245, South Sulawesi, Indonesia.

Abstract

Coffee Berry Borer (Hypothenemus hampei Ferr.) is one of the most serious pests, causing up to 80% yield losses in coffee. Because the Arabica coffee variety is wider than the Arabica coffee variant, the Coffee Berry Borer pest attacks arabica coffee more than robust type in Indonesia. As a result, H. hampei had spread across Indonesia and is now an endemic pest. Population monitoring techniques to reduce pest invasion spread and attack are among the pest management approaches. This study was undertaken to forecast attacks during the harvest season through monitoring the population of H. hampei in Enrekang district, that had not been done earlier. The study conducted in Enrekang district using the weekly observation technique and identifying the sample plants that used a line transect. Plant samples were collected using line transects each 4 meters, with such a total of 30 tree samples observed.

The study indicate that pest monitoring technology could determine attack levels in post-peak cropping conditions (high season), with the highest attack intensity of 6.14 percent at the beginning of the observe and also the lowest at 0.54 percent at the end. CBB pests attack based on fruit color, with unripe green fruit getting its most attention compared to red, with a total of 209 green fruits attacked out of a total of 264 fruits. H. Hampei will begin its first attack on young fruit whose endosperm has hardened, and dark green fruit (Fruit Development) aged 1 month which is the most sensitive. The soft tissue of the dark green fruits supports the movement of CBB larvae. Direct monitoring on infection rates will improve in decision making for control measures to reduce population and spread. Crop attack rate will be decreased with monitoring techniques and management systems.

Key words : Coffee Berry Borer, Fruit Development, line transect, pest distribution

Keywords: Coffee Berry Borer, Fruit Development, line transect, pest distribution

Topic: Emerging Technologies in Agricultural Production Systems