SPATIAL VARIABILITY OF APPARENT ELECTRICAL CONDUCTIVITY AND PHYSICOCHEMICAL ATTRIBUTES OF THE SOIL

The apparent electrical conductivity has been an attribute widely used in studies of spatial variability, due to its high correlation with other soil attributes and because it is an attribute that represents the variability of an area in a quick, easy and low-cost way. The objective of this study wa...

Full description

Saved in:
Bibliographic Details
Published inCultura Agronômica (Online) Vol. 26; no. 3; pp. 469 - 482
Main Authors Lima, Elizeu De Souza, Lovera, Lenon Henrique, Montanari, Rafael, Souza, Zigomar Menezes de, Torres, Jose Luiz Rodrigues
Format Journal Article
LanguageEnglish
Portuguese
Published Ilha Solteira Universidade Estadual Paulista - UNESP Ilha Solteria Faculdade de Engenharia 01.07.2017
Subjects
Cation exchange
Cation exchanging
Clay
Correlation
Electrical conductivity
Electrical resistivity
Eutrophication
Geostatistics
Organic matter
Potassium
Soil analysis
Soil management
Soils
Spatial variability
Statistical analysis
Statistical methods
Variability
Online AccessGet full text

Cover

More Information
Summary:The apparent electrical conductivity has been an attribute widely used in studies of spatial variability, due to its high correlation with other soil attributes and because it is an attribute that represents the variability of an area in a quick, easy and low-cost way. The objective of this study was to evaluate the relationship between the spatial variability of apparent electrical conductivity with physicochemical attributes of an Eutrophic Red Oxisol located in Maracaju, state of Mato Grosso do Sul, Brazil, for determining specific soil management zones. We analyzed apparent electrical conductivity attributes (ECa 2, 7 and 15 kHz), contents of potassium, cation exchange capacity, clay, base saturation and organic matter content. ECa was measured with the Profiler EMP-400 crossing the entire area in 0.45 m spaced lines. Soil samples were collected in the 0.000.20 m layer, with a total of 216 samples in an area of 70 ha. Statistical and geostatistical analyses were performed by SAS and GS+ software. The apparent electrical conductivity (ECa) was presented as an important tool to identify specific management zones showing data variability between low and medium zones. The attributes that had higher correlation with apparent electrical conductivity were potassium and clay.
ISSN:0104-1010
2446-8355
DOI:10.32929/2446-8355.2017v26n3p469-482