Spatial Variability of Deviation from Optimum Percentage in Conilon Coffee
Abel Souza da Fonseca *
University of Espírito Santo, S: Felicio Alcure, s/n 29500-000, Alegre, ES, Brazil
Julião Soares de Souza Lima
University of Espírito Santo, S: Felicio Alcure, s/n 29500-000, Alegre, ES, Brazil
Mariana Lima de Jesus
Professional Education Technical Center, S: Alexandria s/n, Eunápolis, BA, Brazil
Samuel de Assis Silva
University of Espírito Santo, S: Felicio Alcure, s/n 29500-000, Alegre, ES, Brazil
*Author to whom correspondence should be addressed.
Abstract
The objective of this work was to identify the structure of the spatial dependence of the percentage deviation of the optimum (DOP) and its correlation with the productivity in the conilon coffee crop. The data were collected at the experimental farm of INCAPER, county of Cachoeiro de Itapemirim-ES. Leaves were collected in the middle third of each plant, two pairs of leaves of lateral branches, at the 4 cardinal points. The leaves were sent to the laboratory to determine the contents of N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, Zn. To evaluate the nutritional status, the DOP indexes of macro and micronutrients were classified as optimal (DOP = 0), deficiency (DOP <0) or excess (DOP> 0). The nutritional balance index (ΣDOP) was calculated showing a nutritional imbalance in the crop. The order of nutrient limitation (Fe> K> Zn> S> Mg> N> Ca> Cu> P> B> Mn) shows deficiency for Fe, K, Zn and S and excess for Mn. The nutritional balance evaluated through the DOP indexes presented spatial variability with a defined structure adjusted to the exponential and spherical semivariogram models.
Keywords: Coffea canephora, geostatic, semivariogram, precision agriculture, spatial variabity