Modeling the electrical conductivity relationship between saturated paste extract and 1:2.5 dilution in different soil textural classes

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dc.contributor.authorOmar, Moh’d M.
dc.contributor.authorShitindi, Mawazo J.
dc.contributor.authorMassawe, Boniface H. J.
dc.contributor.authorPedersen, Ole
dc.contributor.authorMeliyo, Joel L.
dc.contributor.authorFue, Kadeghe G.
dc.date.accessioned2025-05-07T08:42:17Z
dc.date.available2025-05-07T08:42:17Z
dc.date.issued2024-12
dc.descriptiondoi: 10.3389/fsoil.2024.1-10
dc.description.abstractRegression models were developed to estimate the electrical conductivity of saturated paste extract (ECe) from the electrical conductivity of soil-water ratio (EC1:2.5) for different soil textural classes. ECe is a crucial parameter used to indicate the presence, type, and distribution of salinity in soils. However, determining ECe is demanding, time-consuming, requires considerable skill to accurately identify the correct soil saturation point, and is not routinely performed by soil testing laboratories. Many laboratories, instead, commonly measure the electrical conductivity of soil-water extracts at various dilutions, such as EC1:1, EC1:2.5, or EC1:5. In this study, 706 soil samples were collected from depths of 0 - 30 cm across three rice irrigation schemes to determine EC1:2.5, with 50% analyzed for ECe. ECe values were grouped based on soil textural classes. The results showed a strong linear relationship between EC1:2.5 and ECe values, with a high coefficient of determination (R² > 0.95). The Root Mean Square Error values were low (1.4 < RMSE), and the Mean Absolute Error values were similarly low (0.85 < MAE). Therefore, the regression models developed provide a practical means of estimating ECe for various soil textural classes, thereby enhancing soil salinity assessment and management strategies
dc.description.sponsorshipDANIDA
dc.identifier.citationFront. Soil Sci. 4:1421661.
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/6714
dc.language.isoen
dc.publisherDepartment of agricultural engineering
dc.subjectsoil health
dc.subjectsoil salinity
dc.subjectECe prediction models
dc.subjectsalinity management
dc.subjectregression model
dc.subjectagricultural productivit
dc.titleModeling the electrical conductivity relationship between saturated paste extract and 1:2.5 dilution in different soil textural classes
dc.typeArticle

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