A new and highly effective sampling plan using attractant-baited traps for the coffee berry borer (Hypothenemus hampei)

• Autor(a) principal: Fernandes, F. L.
• Data de Publicação: 2014
• Outros Autores: Picanço, M. C., Fernandes, M. E. S., Dângelo, R. A. C., Souza, F. F., Guedes, R. N. C.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: https://doi.org/10.1007/s10340-014-0622-2; http://www.locus.ufv.br/handle/123456789/21745
• topic: Coffea arabica; Coffee pest; Trap density; Spatial analysis; Attractant-baited traps

Several sampling plans have been developed for many insect pest species. However, few sampling plans have been based on attractant-baited traps. The coffee berry borer Hypothenemus hampei (Coleoptera: Curculionidae: Scolytinae) is a key coffee pest of worldwide importance whose sampling plans usually demand the harvest and inspection of up to 5,000 coffee berries per field, which is labor-intensive, costly, and ineffective. Therefore, this system constitutes a good model for the development of a more cost-effective sampling plan based on attractant-baited traps for capturing adult insects allowing the sustainable management of this pest species. The reported study was performed in 27 coffee fields using berry damage-assessment techniques and capture of adult borers applying attractant-baited traps made of PET-bottles (polyethylene terephthalate bottles). The relationship between trap capture and berry damage was significant allowing the use of the former to estimate coffee loss caused by the borer. The trap capture data from the coffee fields were adjusted to a negative binomial distribution suitable for establishing a single conventional sampling plan for all investigated fields. The required trap density varied from 14 to 355 traps/10 ha, depending on the precision error selected. The sampling plan developed using spatial interpolation (kriging and inverse weighted-distance methods) indicated that using 22 traps/10 ha for sampling of the coffee berry borer, costing US$ 303.24/10 ha and requiring 49.14 min/10 ha for the sampling procedure, was suitable and resulted in cheaper, faster, and more reliable estimates compared to present recommendations.