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Profile of Coffee Crops and Management of the Neotropical Coffee Leaf Miner, Leucoptera coffeella

Author

Listed:
  • Suzany Aguiar Leite

    (Students Graduate Program in Agronomy (Crop Science), State University Southwestern Bahia, Vitória da Conquista 45083-900, Brazil)

  • Raul Narciso Carvalho Guedes

    (Departament of Entomology, Federal University of Viçosa, Viçosa 36570-900, Brazil)

  • Mateus Pereira dos Santos

    (Students Graduate Program in Agronomy (Crop Science), State University Southwestern Bahia, Vitória da Conquista 45083-900, Brazil)

  • Daniela Ribeiro da Costa

    (Students Graduate Program in Agronomy (Crop Science), State University Southwestern Bahia, Vitória da Conquista 45083-900, Brazil)

  • Aldenise Alves Moreira

    (Departament of Crop Science and Animal Science, Graduate Program in Agronomy (Crop Science), State University Southwestern Bahia, Vitória da Conquista 45083-900, Brazil)

  • Sylvana Naomi Matsumoto

    (Departament of Crop Science and Animal Science, Graduate Program in Agronomy (Crop Science), State University Southwestern Bahia, Vitória da Conquista 45083-900, Brazil)

  • Odair Lacerda Lemos

    (Departament of Agricultural and Soil Engineering, Graduate Program in Agronomy (Crop Science), State University Southwestern Bahia, Vitória da Conquista 45083-900, Brazil)

  • Maria Aparecida Castellani

    (Departament of Crop Science and Animal Science, Graduate Program in Agronomy (Crop Science), State University Southwestern Bahia, Vitória da Conquista 45083-900, Brazil)

Abstract

The Neotropical coffee leaf miner is a key coffee pest and in the state of Bahia, one of the major coffee-producing states in the country. The insect finds favorable conditions for its development, causing production losses and intensive use of insecticides. Thus, the objective of the study was to analyze aspects of the profile of coffee crops and the management of the leaf miner, including the use of insecticide for the western and highland regions of Bahia. Data were obtained through questionnaires applied to coffee growers and/or production technicians and included information on the total area, area with coffee, and native vegetation, type of cultivation, cultivars, pest monitoring, methods of control and use, insecticide rotation, and doses used. Descriptive statistical analysis, principal component analysis (PCA), and canonical correlations indicated differences between farm size, and areas with coffee and native vegetation. Chemical pest control prevails as a management strategy in all farms. The results are important for managing the coffee leaf miner while providing an overview and diagnosis of insecticide use in coffee production in the state of Bahia. An increase in the application of systemic insecticides took place in recent years, similarly (same active ingredients) among most coffee growers. This fact increases the risk of selecting populations resistant to insecticides, compromising the management of the leaf miner in the regions.

Suggested Citation

  • Suzany Aguiar Leite & Raul Narciso Carvalho Guedes & Mateus Pereira dos Santos & Daniela Ribeiro da Costa & Aldenise Alves Moreira & Sylvana Naomi Matsumoto & Odair Lacerda Lemos & Maria Aparecida Cas, 2020. "Profile of Coffee Crops and Management of the Neotropical Coffee Leaf Miner, Leucoptera coffeella," Sustainability, MDPI, vol. 12(19), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8011-:d:420745
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    References listed on IDEAS

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    4. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Carolina Calderón-Arroyo & Pedro H. B. Togni & Gabriel M. Pantoja & Angela S. Saenz & Madelaine Venzon, 2023. "Plants for Fitness Enhancement of a Coffee Leaf Miner Parasitoid," Agriculture, MDPI, vol. 13(2), pages 1-10, January.
    2. Adriana H. Walerius & Angelo Pallini & Madelaine Venzon & Paulo A. Santana Júnior & Thiago L. Costa & Jhersyka da S. Paes & Emílio de S. Pimentel & Marcelo C. Picanço, 2023. "Use of Geostatistics as a Tool to Study Spatial-Temporal Dynamics of Leucoptera coffeella in Coffee Crops," Agriculture, MDPI, vol. 13(2), pages 1-13, February.

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