Monitoramento de Leucoptera coffeella com armadilha de feromônio sexual

• Autor(a) principal: Bacca Ibarra, Rolando Tito Libio
• Data de Publicação: 2006
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/937
• topic: Leucoptera coffeella; Monitoramento; Feromônio sexual; Bicho-mineiro-do-cafeeiro - Populações; Café - Doenças e pragas - Controle; Feromonas; Leucoptera coffeella; Monitoring; Sexual pheromone traps; Coffee leaf miner - Populations; CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOSSANIDADE

The use of pheromone traps was tested for monitoring of the coffee leaf miner, Leucoptera coffeella (Guérin-Méneville) (Lepidoptera: Lyonetiidae). Insect sampling was carried out in seven coffee plantations under different agronomic conditions in two regions - the Triângulo Mineiro and the Zona da Mata, both in the state of Minas Gerais. The sampling period ranged from 6 to 20 months. The locality significantly affected male capture and among the weather variables analyzed, the decrease in the average temperature favored higher infestations of L. coffeella in coffee plants and higher male capture. A positive relationship between male capture and % of leaves mined (R2 =0.79) was observed in the Triângulo Mineiro and in Zona da Mata this relationship was weak, although significant (R2 =0.06). In this last region, a positive and significant correlation between males captured and pest eggs was observed (R2 =0.34). Using geostatistical analysis, we determined at what distance captures were independent from other traps. Traps were placed in groups of 12 with distances among traps per group of either 2, 5, 10, 15, or 30 m. Traps were checked for males every 4 days during 16 days. We found interference between traps when inter-trap distances were shorter than 10 m. The range and magnitude of spatial dependence varied considerably among each sampling date and wind direction. For directions of 45º and 135º, the traps should be placed 110 m and 177 m apart, respectively to obtain spatially independent counts and therefore representative samplings for assessing the insect population in the area. We sampled males of L. coffeella in 12 evaluations every eight days. Taylor s power law and frequency distribution methods were used to adjust the data of male capture of L. coffeella to a binomial negative distribution. A common K was obtained and a single conventional sampling plan was determined using 8 traps in an area of 30 ha with a 25% precision. Kriging-generated maps allowed the simulation of male captures for 8, 12 and 20 traps per 30 ha and the results were compared with those obtained with absolute sampling, obtaining R2-values of 0.30, 0.57 and 0.60 respectively. The results of this study suggest that there is a significant correlation between the male capture by pheromone traps and the population density of L coffeella, emphasizing the potential of pheromone traps for monitoring the coffee leaf miner, indicated that a trap density of one pheromone trap for every 4 ha would be suitable for monitoring the coffee leaf miner.