Abstract

ABSTRACT Establishing the number of samples required to determine values of soil physical properties ultimately results in optimization of labor and allows better representation of such attributes. The objective of this study was to analyze the spatial variability of soil physical properties in a Conilon coffee field and propose a soil sampling method better attuned to conditions of the management system. The experiment was performed in a Conilon coffee field in Espirito Santo state, Brazil, under a 3.0 × 2.0 [...]

Highlights

  • The objective of this study was to analyze the spatial variability of soil physical properties in a Conilon coffee field and propose a soil sampling method better attuned to conditions of the management system

  • The objective of this study was to analyze the spatial variability of soil physical properties in a Conilon coffee field and to propose a method for soil sampling which will better fit the conditions of the management system

  • The mean and median values of particle density (PD), macroporosity (Ma), soil water storage capacity, and the particle size fractions of total sand and clay are very close, indicating symmetric distribution (Table 1), a fact confirmed by the asymmetry values near zero

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Summary

Introduction

Inadequate soil management and intense agricultural machine traffic may result in a change in soil physical properties, leading to many problems, such as soil degradation and compaction (Berisso et al, 2013). The soil under study was within a region denominated as coastal plains Soils within this region were previously studied by Duarte et al (2000) and Melo et al (2002) in the state of Espírito Santo. These authors reported the presence of primarily Ultisols and Oxisols, with particular properties such as low contents of Fe and the presence of a cohesive subsurface horizon

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