1. Modeling the electrical conductivity relationship between saturated paste extract and 1:2.5 dilution in different soil textural classes.
- Author
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Omar, Moh'd M., Shitindi, Mawazo J., Massawe, Boniface H. J., Pedersen, Ole, Meliyo, Joel L., and Fue, Kadeghe G.
- Subjects
SOIL salinity ,STANDARD deviations ,SOIL management ,ELECTRIC conductivity ,SOIL testing - Abstract
Regression models were developed to estimate the electrical conductivity of saturated paste extract (ECe) from the electrical conductivity of soil-water ratio (EC
1:2.5 ) 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. [ABSTRACT FROM AUTHOR]- Published
- 2024
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