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Ciencia del suelo

versión On-line ISSN 1850-2067


BOSCH MAYOL, Matías; COSTA, José Luís; CABRIA, Fabián Néstor  y  APARICIO, Virginia Carolina. Relationship between spatial variability of electrical conductivity and soil sodium content. Cienc. suelo [online]. 2012, vol.30, n.2, pp.95-105. ISSN 1850-2067.

Precision agriculture utilizes modern tools in order to obtain and analyze georreferenced data. Direct measuring sensors of soil apparent electrical conductivity (ECa) are part of these modern tools and are widely used to quantify ECa spatial variability. This variable is correlated with other soil properties (water holding capacity, organic matter content, salinity, drainage, topography, tillage managing and soil texture). Plants are negatively affected by elevated salts amount and elevated exchangeable sodium content, which causes physical and chemical damage of soils, affecting crop's grown and production. In order to determinate sodium spatial content and distribution, three fields about 80 Has average were selected. All fields are under central pivot irrigation system and are located in the southeast of Buenos Aires province, Argentina. In these fields ECa was measured and georreferenced whit a direct measure sensor. Obtained data was used to create ECa maps in every field using spatial interpolation methods (Kriging). All fields were divided into four different zones, based on its ECa value, where soil samples were taken. Soil samples were laboratory processed in order to determinate gravimetric humidity (θg),, electrical conductivity of soil saturation paste extract (ECe) and soluble cations (Na+, Ca+2 and Mg+2), and sodium adsorption ratio (SAR) was calculated. Experimental data was statistically analyzed using SAS PROC MIXED procedure. We observed CEa spatial variability, and associations between ECa and SAR. Significantly relationships between ECa, ECe and soil sodium content were found. Sodium content was statistically differenced between different ECa zones in every field. The ECa direct measuring sensors are accurately tools to estimate soil sodium spatial content.

Palabras clave : Georeferencing; Irrigation; Sensor; Precision Agriculture; Sodicity.

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