Geostatistics analysis of the relationship between plant nutrition and coffee rust
G. B. Vasco (1), E. A. POZZA (2), G. Dornelas (1), P. V. A. Paula (1), M. L. O. Silva (1), M. C. Alves (3), P. E. Souza (1). (1) Federal University of Lavras, Lavras, Brazil; (2) Department of Plant Pathology, Federal University of Lavras, Lavras, Brazil; (3) Federal University of Mato Grosso, Cuiabá, Brazil
Precision agriculture is an important tool in the management of many cultures. Especially in relation to soil fertility. The goal of this study was to characterize the spatial distribution pattern of coffee rust (<i>Hemileia vastatrix</i>) in non-irrigated crops. The area have 15 ha of Acaia 474/19 cultivar, at 6 years of age and spacing of 3.6 x 0.70m (3968 plants.ha<sup>-1</sup>). In this area was sampled 51 point (50 x 50m). The evaluation of the incidence of the disease was performed in 8 leaves per plant, 5 plants per sampling point, in the middle third of the plant. Four evaluations were done at intervals of 60 days (August 2012 to February 2013). The area under the disease progress curves of coffee rust incidence (AUDPCI) was calculated. According to the results, there was moderate spatial dependence with the AUDPCI, for nutrients potassium and boron. For variable calcium, pH and zinc, there was strong spatial dependence. For all variables, the best model was the exponential.
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