UFV - Teses
URI permanente para esta coleçãohttps://thoth.dti.ufv.br/handle/123456789/4
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Item Seasonal variation, spatial distribution and decision–making system to control of the Leucoptera coffeella in coffee arabica fields(Universidade Federal de Viçosa, 2022-03-28) Walerius, Adriana Helena; Pallini, Angelo; Venzon, Madelaine; Picanço, Marcelo CoutinhoCoffee is the world's second-largest commodity and represented a global market of US$ 102.02 billion dollars in 2020. The Neotropical region is the main coffee producer globally, accounting for more than 56% of the world's production of Arabica coffee. In this region, the coffee leaf miner Leucoptera coffeella is one of key coffee pests. This pest can decrease productivity by around 50 to 87% at high densities. Several factors can influence the L. coffeella population dynamics in the field. Therefore, prior knowledge of the areas and seasons of higher incidence of L. coffeella is essential to field management. The objective of this study was to evaluate the seasonality of the L. coffeella population and the factors that regulate its dynamics in coffee crops located in the Atlantic Forest and the Cerrado biomes. We aim to determine the spatial distribution of Leucoptera coffeella in coffee crops in the Cerrado through geostatistical analyses and propose a decision-making control system based on management zones. L. coffeella densities were higher in the Cerrado area compared to the Atlantic Forest. In the Cerrado, air temperature and potential evapotranspiration were higher, while rainfall was lower. These data are correlated with the high densities of L. coffeella in the fields. The highest population densities were observed between July and October, when the coffee plants were in the fruiting and flowering phases. The minimum, optimum and maximum temperatures for the development of the pest were 16.59, 26.81, and 34.8°C, respectively. Therefore, the climatic elements in each biome influenced the spatio-temporal dynamics of L. coffeella. Geostatistical analysis showed an aggregated distribution of L. coffeella in the Cerrado field. Colonization generally started at the edges of the crop, except in the last year of evaluation. Pest outbreaks appeared at different pivots and different locations within the pivots. Due to isotropy, sampling must be done equidistantly, as the pest is evenly distributed in all directions. The programs that use sampling and level of control (30% of active mined leaves) in decision making were the most efficient and assertive in controlling L. coffeella. Management zones reduce insecticide use by 70% compared to conventional controlover the whole area. The information provided in this study is essential for designing and implementing efficient control strategies, thus reducing production costs and the harmful effects of pesticide use. Keywords: Coffea arabica. Coffe Leaf miner. Population Fluctuation. Climatic Elements. Geostatistics. Integrated Pest Management. Precision Agriculture.