2001
DOI: 10.1017/s0021859601001241
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Ability of the SUNDIAL model to simulate the short-term dynamics of 15N applied to winter wheat and oilseed rape

Abstract: Labelling using the stable 15 isotope of nitrogen allows a close monitoring of the fate of the fertilizer applied to arable crops. Because 15N data give direct estimates of nitrogen transformation rates, they also provide more stringent tests for N models than those based on bulk inorganic N dynamics. They may therefore point at flaws in models that had previously gone unnoticed, especially if 15N was monitored on short time steps which capture even rapid processes like nitrification.Here we tested the simple,… Show more

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Cited by 7 publications
(3 citation statements)
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“…Due to the low crop competition, a large of N is incorporated by the soil microorganisms and, therefore, immobilized and must be remineralized before being plant available (Limaux et al. 1999, Gabrielle et al. 2001).…”
Section: Discussionmentioning
confidence: 99%
“…Due to the low crop competition, a large of N is incorporated by the soil microorganisms and, therefore, immobilized and must be remineralized before being plant available (Limaux et al. 1999, Gabrielle et al. 2001).…”
Section: Discussionmentioning
confidence: 99%
“…In early growth stages, the ability of the rice plants to absorb nitrogen is weaker as the plant roots are less developed, which results in higher nitrogen losses at early stages (Gabrielle et al, 2001;Yu et al, 2012), thus the reduction in nitrogen application at early plant stages is feasible to decrease nitrogen loss. In the present study, the nitrogen source of BF and TF was ammonium bicarbonate, and the panicle fertilizer was urea.…”
Section: Potential Measures To Mitigate Ammonia Emission Frommentioning
confidence: 99%
“…It has also proved to be a unique data set for testing the various components of soil-crop models, such as a modified version of the CERES model [10], the mechanistic DAISY model [12] and the Rothamsted C-N model SUN-DIAL [1]. The CORD made it possible to screen the weaknesses and strengths in these models, and to identify potential improvements to them [6]. Given the range of measured soil parameters, different parameterization scenarios could also be implemented to analyse model sensitivity to the level of information available for the simulation [5].…”
Section: Examples Of Usementioning
confidence: 99%