African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6863

Full Length Research Paper

Spatial patterns of soil attributes in a fluvent in the semiarid region, Brazil

Carolyne Wanessa Lins de Andrade*
  • Carolyne Wanessa Lins de Andrade*
  • Department of Agricultural Engineering, Federal Rural University of Pernambuco (UFRPE), Brazil.
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Abelardo Antonio de Assunçao Montenegro
  • Abelardo Antonio de Assunçao Montenegro
  • Department of Agricultural Engineering, Federal Rural University of Pernambuco (UFRPE), Brazil.
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Suzana, Maria Gico Lima Montenegro
  • Suzana, Maria Gico Lima Montenegro
  • Department of Civil Engineering, Federal University of Pernambuco (UFPE), Brazil.
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Jucicleia Soares da Silva
  • Jucicleia Soares da Silva
  • Water and Soil Engineering Nucleus, Federal University of the Recôncavo of Bahia (UFRB), Brazil.
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Uilka Elisa Tavares
  • Uilka Elisa Tavares
  • Department of Agricultural Engineering, Federal Rural University of Pernambuco (UFRPE), Brazil.
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  •  Received: 23 November 2016
  •  Accepted: 21 December 2016
  •  Published: 02 February 2017

Abstract

Spatial variability studies on soil attributes are fundamental for adoption of best agricultural practices concerned with irrigated agricultural sustainability. This study aims to infer the spatial variability patterns of soil moisture, soils salinity and soil texture in an irrigated area of Pernambuco State (Brazil) under cultivation of carrot (Daucus Carota L.), during the dry period of 2012. The area is a typical system in the semiarid under small scale agricultural practices. For the study, it was adopted a 4 × 4 m regular mesh, with 49 sampling points collected at 0-0.2 m and 0.2-0.4 m layers. Data were submitted to classical statistical procedure, followed by geostatistical analysis. For soil moisture at 0.2-0.4 m layer and clay content, the degree of variability was considered low. For soil moisture at 0-0.2 m the degree of variability was moderate, while the electrical conductivity showed a high degree of variability. Occurrence of soil salinity is higher at the soil surface. Water flow occurs from the borders to the central plot, as evidenced by contour maps. Geostatistics allowed the characterization of the spatial variability patterns for the main soil attributes in an irrigated plot in the semiarid of Brazil, and it has been shown as an important tool for the prediction of soil attributes. Such results are important for issuing guidance for sustainable small scale agriculture practices in the region.

Key words: Geostatistics, soil moisture, salinity, texture, communal farming.