SPATIAL CONTINUITY OF ELECTRICAL CONDUCTIVITY, SOIL WATER CONTENT AND TEXTURE ON A CULTIVATED AREA WITH CANE SUGAR

Authors

  • Jucicléia Soares da Silva Universidade Federal do Recôncavo da Bahia, Cruz das almas, BA
  • Ênio Farias de França e Silva Departament of Agricultural Engineering, Universidade Federal Rural de Pernambuco, Recife, PE
  • Glécio Machado Siqueira Departament of Geosciences, Universidade Federal do Maranhão, São Luís, MA
  • Gerônimo Ferreira da Silva Departament of Agricultural Engineering, Universidade Federal Rural de Pernambuco, Recife, PE
  • Diego Henrique Silva de Souza Departament of Agricultural Engineering, Universidade Federal Rural de Pernambuco, Recife, PE

DOI:

https://doi.org/10.1590/1983-21252018v31n220rc

Keywords:

Precision agriculture. Geostatistics. Chemical and physical soil attributes.

Abstract

Spatial variability of soil attributes affects crop development. Thus, information on its variability assists in soil and plant integrated management systems. The objective of this study was to assess the spatial variability of the soil apparent electrical conductivity (ECa), electrical conductivity of the saturation extract (ECse), water content in the soil (θ) and soil texture (clay, silt and sand) of a sugarcane crop area in the State of Pernambuco, Brazil. The study area had about 6.5 ha and its soil was classified as orthic Humiluvic Spodosol. Ninety soil samples were randomly collected and evaluated. The attributes assessed were soil apparent electrical conductivity (ECa) measured by electromagnetic induction with vertical dipole (ECa-V) in the soil layer 0.0.4 and horizontal dipole (ECa-H) in the soil layer 0.0-1.5 m; and ECse, θ and texture in the soil layers 0.0-0.2 m and 0.2-0.4 m. Spatial variability of the ECa was affected by the area relief, and had no direct correlation with the electrical conductivity of the saturation extract (ECse). The results showed overestimated mean frequency distribution, with means distant from the mode and median. The area relief affected the spatial variability maps of ECa-V, ECa-H, ECse and θ, however, the correlation matrix did not show a well-defined cause-and-effect relationship. Spatial variability of texture attributes (clay, site and sand) was high, presenting pure nugget effect.

Author Biographies

  • Jucicléia Soares da Silva, Universidade Federal do Recôncavo da Bahia, Cruz das almas, BA
    Atualmente é Pós-Doutoranda da Universidade Federal do Recôncavo da Bahia
  • Ênio Farias de França e Silva, Departament of Agricultural Engineering, Universidade Federal Rural de Pernambuco, Recife, PE
    Professor Associado da Universidade Federal Rural de Pernambuco
  • Glécio Machado Siqueira, Departament of Geosciences, Universidade Federal do Maranhão, São Luís, MA
    Professor Adjunto da Universidade Federal do Maranhão.
  • Gerônimo Ferreira da Silva, Departament of Agricultural Engineering, Universidade Federal Rural de Pernambuco, Recife, PE
    Professor Adjunto da Universidade Federal Rural de Pernambuco
  • Diego Henrique Silva de Souza, Departament of Agricultural Engineering, Universidade Federal Rural de Pernambuco, Recife, PE
    Discente de Pós-Graduação em Engenharia Agrícola da Universidade Federal Rural de Pernambuco.

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Published

06-04-2018

Issue

Section

Agricultural Engineering