Full TGIF Record # 224791
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DOI:10.1016/S1161-0301(98)00040-9
Web URL(s):http://www.sciencedirect.com/science/article/pii/S1161030198000409
    Last checked: 07/16/2013
    Access conditions: Item is within a limited-access website
Publication Type:
i
Refereed
Author(s):Tabourel-Tayot, Florence; Gastal, François
Author Affiliation:Station d'Ecophysiologie des Plantes Fourragères, INRA, Centre de Recherches de Poitou-Charentes, Lusignan, France
Title:Parameter estimation and model evaluation
Article Series:MecaNiCAL, a supply-demand model of carbon and nitrogen partitioning applied to defoliated grass, part 2
Source:European Journal of Agronomy. Vol. 9, No. 4, December 1998, p. 243-258.
Publishing Information:Amsterdam, the Netherlands: Elsevier Science Pub. Co.
# of Pages:16
Keywords:TIC Keywords: Evaluations; Light; Models; Nitrogen; Root weight
Trade Names:MecaNiCAL
Abstract/Contents:"The MecaNiCAL model of carbon and nitrogen partitioning over a period of regrowth for a mean grass plant as described in Part 1 was fitted and evaluated against data from an experiment under controlled conditions with contrasting light and nitrogen nutrition. In the first investigation, the rate of nitrogen uptake was imposed to limit the compensation of errors between process. The root:shoot ratio was simulated well, with a good estimation of the nitrogen allocation to shoots. Some underestimation of the root weight after the cut and the final shoot weight under the low nitrogen treatment were consequences of both the lack of remobilisation and the high priority given to shoots. The good agreement obtained with the expected trend in simulations conducted with the simple nitrogen aborption submodel in extended conditions (contrasting initial content of nitrogen substrate and temperature change in regrowth) ensures the general consistency of the model in the limit of its area of validity. Partitioning to shoots and forage production seem to be sensitive mainly to the size of the carbohydrate substrate pool and its availibility [availability], particularly under conditions of low light. Estimating the initial carbohydrate substrate pool by biochemical analysis may improve the accuracy of the model. Compared with more simple assumptions of partitioning, MecaNiCAL shows a higher level of agreement with the partitioning response to a wide range of environmental conditions. A simple assumption relating partitioning to plant nitrogen content does not seem to be sufficient to simulate the decrease in the root:shoot ratio observed under conditions of low light. Nevertheless, more data from experiments conducted under a wider range of contrasting conditions are required to estimate the validity of MecaNiCAL attached to the nitrogen absorption submodel and the advantage of its more complex assumptions with even greater accuracy."
Language:English
References:25
See Also:See also part 1 "Model description and analysis" European Journal of Agronomy, 9(4) December 1998, p. 223-241, R=224786. R=224786
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Tabourel-Tayot, F., and F. Gastal. 1998. Parameter estimation and model evaluation. European Journal of Agronomy. 9(4):p. 243-258.
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DOI: 10.1016/S1161-0301(98)00040-9
Web URL(s):
http://www.sciencedirect.com/science/article/pii/S1161030198000409
    Last checked: 07/16/2013
    Access conditions: Item is within a limited-access website
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