Reference : Estimation of the Exchangeable Sodium Percentage from the Sodium Adsorption Ratio for...
Scientific congresses and symposiums : Unpublished conference/Abstract
Life sciences : Agriculture & agronomy
Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
Estimation of the Exchangeable Sodium Percentage from the Sodium Adsorption Ratio for salt-affected soils in the High Valley (Bolivia)
Andrade Foronda, Demis mailto [Université de Liège - ULiège > > > Gembloux Agro-Bio Tech]
EGU General Assembly 2021
19–30 Apr 2021
[en] In order to obtain a more cost-time efficient way to predict the Exchangeable Sodium Percentage (ESP) function to Sodium Adsorption Ratio (SARe) of salt-affected soils in the High Valley of Cochabamba (Bolivia), two regression models were generated: ESP= 0.972 SARe + 1.576 (R2=0.85, P < 0.0005) and ESP= 6.522 SARe0.5 – 5.723 (R2=0.78, P < 0.0005), based on 84 soil samples. The efficiency of the models was evaluated through an independent test set with 18 samples. The predicted ESP values showed a significant relationship with the measured ESP values: (R2=0.69, P < 0.0001) and (R2=0.68, P < 0.0001), respectively, and according to T-test of paired samples were not significantly different (P > 0.05). Both models are relatively similar in terms of performance and could be recommended to predict ESP from SARe in the High Valley. To improve the prediction, additional samples for modelling and data stratification in terms of sodicity might be necessary.

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