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- W2090989329 abstract "Environmental context. Total concentrations of mineral elements in soil bear little relation to their availability for plants. The DGT (diffusive gradients in thin-films) technique has been found to be a good predictor of trace metal uptake and P deficiency, though not consistently in all studies for all elements. This review examines the fundamental basis for the relation between DGT fluxes and plant uptake and assesses under which conditions this relation may break down. Abstract. In the DGT technique, elements are accumulated on a binding gel after their diffusive transport through a hydrogel. In this paper, we explore in more detail why – and under which conditions – DGT correlates with plant uptake. The theoretical considerations are illustrated with experimental results for metal uptake and toxicity, and for phosphorus deficiency. Strong correlations between DGT and plant uptake are predicted if the diffusive transport of the element from soil to the plant roots is rate-limiting for its uptake. If uptake is not limited by diffusive transport, DGT-fluxes and plant uptake may still correlate provided that plant uptake is not saturated. However, competitive cations may affect the plant uptake under these conditions, whereas they have no effect on the DGT flux. Moreover, labile complexes are not expected to contribute to the plant uptake if diffusion is not limiting, but they are measured with DGT. Therefore, if plant uptake is not limited by diffusion, interpretation of the observed correlation in terms of the labile species measured by DGT is inappropriate." @default.
- W2090989329 created "2016-06-24" @default.
- W2090989329 creator A5011679544 @default.
- W2090989329 creator A5042020515 @default.
- W2090989329 creator A5049341927 @default.
- W2090989329 creator A5052150811 @default.
- W2090989329 date "2009-01-01" @default.
- W2090989329 modified "2023-10-18" @default.
- W2090989329 title "Predicting availability of mineral elements to plants with the DGT technique: a review of experimental data and interpretation by modelling" @default.
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- W2090989329 doi "https://doi.org/10.1071/en09010" @default.
- W2090989329 hasPublicationYear "2009" @default.
- W2090989329 type Work @default.