USE OF APPLICATION TECHNOLOGY AND GEOSTATISTICS IN MONITORING AND PEST CONTROL IN COCONUT COMMERCIAL PLANTING
Crown atrophy, Electrostatic spraying, Efficiency, Geostatistics, Krigagem.
Pests and diseases are the main challenge to agricultural production and the coconut economy in Brazil. The distribution in space and time creates an identity of dispersion of damage caused to plantations. The ‘Lethal Atrophy of the Coconut Crown’ (ALCC) and the Aceria guerreronis mite have become threats to commercial coconut plantations in the country, being able to quickly lead to death of plants and great losses in production. The first objective of this work was to characterize the spatial and temporal distribution pattern of the ALCC in a commercial area of green dwarf coconut plantations in Brazil in the municipality of Santa Izabel, mesoregion of the Northeast of Pará. Monthly evaluations were carried out from January 2014 to December 2018, checking plants with symptoms characteristic of ALCC. The geostatistical technique was applied to perform spatial-temporal estimates of the disease, from the modeling of semivariograms and preparation of ordinary kriging maps. The model that best fit the spatial distribution of the disease was the spherical one, as it presented the best coefficient of determination (R²). The Spatial Dependence Index (SDI) was moderate in the evaluations between 2014 and 2017, except for 2018, which showed strong SDI. The second objective of this work was to evaluate the parameters of spraying in coconut culture. The efficiency and the deposition of drops on the target are important for the effectiveness in combating pests and diseases. The use of an electrostatic sprayer proved to be efficient for coconut spraying. It was observed that the density and droplet size were satisfactory for spraying. Spray coverage and deposition were higher in the middle and lower thirds. As for the parameters, deposition and volumetric distribution uniformity, the best results occurred when volumes of 888 L ha-1 were used.