Predicting radiocaesium root uptake based on potassium uptake parameters. A mechanistic approach

This paper describes the application of a mechanistic model in the study of radionuclide soil–plant transfer and the obtainment of predictive estimates of radionuclide plant contamination. Soil–plant K and ¹³⁴Cs transfer rates were measured and compared with those predicted by the Barber–Cushman model. The experiment was performed on pea plants grown in pots and in two different types of soil (Calcic Luvisol and Fluvisol). For K, model predictions proved valid for all development stages sampled; for ¹³⁴Cs, the quality of the prediction depended on the plant stage. In both, parameter estimates varied depending on plant age and soil type. The model was also run for ¹³⁴Cs using the Michaelis–Menten parameters obtained for K. In this case, the predicted values were significantly correlated with those measured, but about three times higher. Thus, a positive plant discrimination of K versus ¹³⁴Cs in plant absorption is observed for the types of soil studied. As regression proved to be significant, K absorption rates may be used to estimate ¹³⁴Cs absorption in determining radiocaesium plant uptake. This revised version was published online in June 2006 with corrections to the Cover Date.