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Vargas Ramirez, A. F., Ramírez, I. M., & Arroyave, A. F. (2022). Relación entre el PH y las mediciones de conductividad eléctrica en un suelo cultivable ubicado en Medellín, Colombia. Ingenierías USBmed, 13(2), 56–62. https://doi.org/10.21500/20275846.4706 (Original work published September 27, 2022)
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Abstract

In order to assure an adequate soil for agriculture, it is very important to measure the soil pH and the soil electrical conductivity (EC), because these variables can be used to predict the availability of nutrients for plants in the soil. Therefore, in this study pH and EC were studied for a soil located in Santa Elena, a rural town close to Medellin, Colombia. Soil pH was measured in the laboratory using extraction with water and solutions of CaCl2, and it was also measured in the field. Soil EC was measured in the laboratory using extraction with water. The data were used to plot Variability maps for pH and EC, and Deming Linear regression was used to find the correlations among the variables. It was found that Soil pH from water extraction had a high correlation with soil EC

References

[1] I. N. Aini, M. H. Ezrin, and W. Aimrun, “Relationship between Soil Apparent Electrical Conductivity and pH Value of Jawa Series in Oil Palm Plantation,” Agric. Agric. Sci. Procedia, vol. 2, pp. 199–206, 2014.

[2] B. Minasny, A. B. McBratney, D. M. Brough, and D. Jacquier, “Models relating soil pH measurements in water and calcium chloride that incorporate electrolyte concentration,” Eur. J. Soil Sci., vol. 62, no. 5, pp. 728–732, Oct. 2011.

[3] D. Čapka, I. Kisić, Ž. Zgorelec, M. Mesić, and A. Jurišić, “Determination of Soil pH in Dominant Soil Types in the Republic of Croatia,” Agric. Conspec. Sci., vol. 74, no. 1, pp. 13–19, Mar. 2009.

[4] M. Futagawa, T. Iwasaki, H. Takao, M. Ishida, and K. Sawada, “Fabrication of a multi-modal sensor with PH, EC and temperature sensing areas for agriculture application,” in 2009 IEEE Sensors, 2009, pp. 2013–2016.

[5] E. Tola, K. A. Al-Gaadi, R. Madugundu, A. M. Zeyada, A. G. Kayad, and C. M. Biradar, “Characterization of spatial variability of soil physicochemical properties and its impact on Rhodes grass productivity,” Saudi J. Biol. Sci., vol. 24, No. 2, pp. 421–429, 2017.

[6] M. Schirrmann, R. Gebbers, E. Kramer, and J. Seidel, “Soil pH mapping with an on-the-go sensor.,” Sensors, vol. 11, no. 1, pp. 573–98, Jan. 2011.

[7] C. K. Gasch, B. Gräler, H. Meyer, T. S. Magney, and D. J. Brown, “Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set,” Spat. Stat., vol. 14, pp. 70–90, 2015.

[8] A. K. Manda and lR. K. Yadav. “Proper measurement of electrical conductivity and other parameters influence profile salinity and sodicity under different land uses”. Ecological Indicators, Vol. 101, pp. 1004-1006, Jun. 2019.

[9] Zenaida Lozano et al., “Selección de un diseño de muestreo en parcelas experimentales a partir del estudio de la variabilidad espacial de los suelos,” Bioagro, vol. 16, no. 1, pp. 61–72, 2004.

[10] Ministerio del ambiente, “Guía para el muestreo de suelos,” Lima, 2014.

[11] “Soil Quality Indicators: pH.” USDA Natural Resources Conservation Service, 1998.

[12] W. Chesworth, Encyclopedia of Soil Science. Springer Netherlands, 2008.

[13] D. L. Corwin and S. M. Lesch, “Apparent soil electrical conductivity measurements in agriculture,” Comput. Electron. Agric., vol. 46, No. 1–3, pp. 11–43, Mar. 2005.

[14] S. J. Gumiere, J. A. Lafond, D. W. Hallema, Y. Périard, J. Caron, and J. Gallichand, “Mapping soil hydraulic conductivity and matric potential for water management of cranberry: Characterisation and spatial interpolation methods,” Biosyst. Eng., vol. 128, pp. 29–40, 2014.

[15] H. Keskina and S. Grunwalda. “Regression kriging as a workhorse in the digital soil mapper's toolbox”. Geoderma, Vol. 326, pp. 22-41, Sep. 2018.

[16] R. F. Martin. “General Deming Regression for Estimating Systematic Bias and Its Confidence Interval in Method-Comparison Studies”. Clinical Chemistry, Vol. 46, No. 1, pp. 100-104, Jan. 2000.

[17] A. Carkeet. “Exact Parametric Confidence Intervals for Bland-Altman Limits of Agreement”. Optometry and Vision Science, Vol. 92, No. 3, pp. 71-80, Mar. 2015.

[18] J. P. Holcomb. “Regression with covariates and outcome calculated from a common set of variables measured with error: estimation using the SIMEX method”. Statist. Med. No.18, pp. 2847-2862, 1999.

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