Modeling the electrical conductivity relationship between saturated paste extract and 1:2.5 dilution in different soil textural classes
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Date
2024-12
Journal Title
Journal ISSN
Volume Title
Publisher
Department of agricultural engineering
Abstract
Regression 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
Description
doi: 10.3389/fsoil.2024.1-10
Keywords
soil health, soil salinity, ECe prediction models, salinity management, regression model, agricultural productivit
Citation
Front. Soil Sci. 4:1421661.