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Research Article Open access CC BY 4.0

Spatial Variability of Deviation from Optimum Percentage in Conilon Coffee

Abel Souza da Fonseca, Julião Soares de Souza Lima, Mariana Lima de Jesus, Samuel de Assis Silva

Journal of Experimental Agriculture International · pp. 1–11 · Published 6 Jun 2018

10.9734/JEAI/2018/41817

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.

Coffea canephora geostatic semivariogram precision agriculture spatial variabity

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