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Predicting EC<sub>e</sub> of the saturated paste extract from value of EC<sub>1:5</sub>
50
Citations
13
References
2013
Year
Soil CharacterizationSoil PropertyBiogeochemistryEngineeringData ScienceEnvironmental EngineeringSoil ScienceEc ESoil SalinityGeoenvironmental EngineeringPlant ResponseBiostatisticsLand DegradationSaturated Paste ExtractSoil Technology
He, Y., DeSutter, T., Hopkins, D., Jia, X. and Wysocki, D. A. 2013. Predicting EC e of the saturated paste extract from value of EC 1:5 . Can. J. Soil Sci. 93: 585–594. Many laboratories appraise soil salinity from measurement of electrical conductivity of 1:5 soil to water extract (EC1:5) due to its simplicity. However, the influence of salinity on plant growth is mainly based on electrical conductivity of saturated paste extract (ECe), so it is necessary to convert EC1:5 to ECe in order to assess plant response. The objectives of this research were to develop models relating EC1:5 and ECe under four different 1:5 equilibration methods: (1) shaking, (2) shaking plus centrifuging, (3) stirring, and (4) a United States Department of Agriculture-Natural Resources Conservation Service (2011) equilibration method. One hundred soil samples, which were all derived from glacial parent materials in North Dakota, USA, were selected for this study. Non-transformed, non-transformed separated, ln-transformed, and exponential models were developed between EC1:5 and ECe. Non-transformed, simple linear regression models had obvious segments for all equilibration methods and the residual distributions varied. Therefore, data were separated at EC of 4 dS m−1 and a quadratic curvilinear model was developed for relating EC1:5 and ECe (r 2 values ranged from 0.87 to 0.93) when ECe values were less than 4 dS m−1. Although the linear model was significant (P<0.05), soils having ECe greater than 4 dS m−1 had r 2 values less than 0.61. Across all soils, the ln-transformed model had r 2 values greater than 0.85, which was greater than the non-transformed or exponential models. By comparison of r 2, RMSE, and relative percentage difference, the separated curvilinear model that was established when salinity is less than 4 dS m−1, and ln-transformed models were superior at predicting ECe from EC1:5 data compared to non-transformed and exponential models. These results indicate that across all equilibration methods ECe can reliably be predicted from EC1:5 data for soils from this region.
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