Abstract

Mapeamento do Conteúdo de Nutrientes da Cultura Cafeeira Infectada por Nematoides por Meio de Modelos Empíricos Derivados de Imagens do RapidEye

Highlights

  • Coffee (Coffea spp.) is the most valuable agricultural commodity in international trade

  • Given the spectral configuration of some orbital systems that include a red-edge band, the aim of this study was to evaluate the potential of empirical models generated from specific spectral bands and vegetation indices derived from a RapidEye image in estimating the macro and micronutrients contents in this experimental area located in Monte Carlo municipality, Minas Gerais State

  • The experimental area is characterized by a marked occurrence of nematodes, only the Mg and S macronutrients and the Cu and Mn micronutrients had a significant correlation with the nematode concentration

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Summary

Introduction

Coffee (Coffea spp.) is the most valuable agricultural commodity in international trade. The productivity currently obtained in commercial crops is far below the potential, since it is neither possible nor economically viable to remove all factors limiting the development of crops, such as the supply of nutrients in adequate concentrations and balanced relations (Malavolta et al, 1997), competition with weeds and mainly damages caused by insect pests and pathogens (Povh et al, 2008). The expansion of cropping areas in nutrient-deficient soils, greater nutrient removal due to increased productivity and the inadequate incorporation of limestone or its use in high concentrations, have accelerated the emergence of problems related to nutritional deficiencies in the plants. Phytonematodes are among the most important coffee pathogens, causing significant loss of productivity in several species, mainly C. arabica and C. robusta (Barros et al, 2014; Jones et al, 2013). The implementation of measures such as phytosanitary control, post-harvest care, adequate fertilization management program and the selection of cultivars with suitable agronomic characteristics, contribute to a satisfactory production of coffee plantations (Galdeano et al, 2010)

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