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Use of modelling to understand plant nutrient acquisition

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Plant Nutrition

Part of the book series: Developments in Plant and Soil Sciences ((DPSS,volume 92))

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Abstract

The definition, testing and uses of explanatory models are discussed and contrasted with descriptive, predictive models. Five examples are given: a model of nutrient solubilization by organic anion excretion from roots; a model of microbial dynamics in the rhizosphere; a model of nitrate versus ammonium nutrition in rice emphasising root physiological properties; a model of three-dimensional root growth and its consequences for nutrient acquisition; and a model of root proliferation and nutrient uptake in soil with patchy nutrient distributions. The models’ uses and limitations are discussed.

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References

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Author information

Authors and Affiliations

  1. International Rice Research Institute, MCPO, Box 3127, 1271, Makati City, Philippines

    G. J. D. Kirk

Authors
  1. G. J. D. Kirk
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Editor information

Editors and Affiliations

  1. University of Hannover, Hannover, Germany

    W. J. Horst  & M. K. Schenk  & 

  2. University of Kassel, Witzenhausen, Germany

    A. BĂĽrkert

  3. University of Göttingen, Göttingen, Germany

    N. Claassen  & H. Flessa  & 

  4. University of TĂĽbingen, TĂĽbingen, Germany

    W. B. Frommer  & N. v. Wirén  & 

  5. University of Bonn, Bonn, Germany

    H. Goldbach

  6. Hydro Agri, Pflanzenernährung und Umweltforschung, Dülmen, Germany

    H. -W. Olfs

  7. University of Hohenheim, Stuttgart, Germany

    V. Römheld

  8. University of Kiel, Kiel, Germany

    B. Sattelmacher

  9. TU MĂĽnchen, Freising-Weihenstephan, Germany

    U. Schmidhalter

  10. University of GieĂźen, GieĂźen, Germany

    S. Schubert

  11. University of Halle-Wittenberg, Halle, Germany

    L. Wittenmayer

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© 2001 Kluwer Academic Publishers

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Kirk, G.J.D. (2001). Use of modelling to understand plant nutrient acquisition. In: Horst, W.J., et al. Plant Nutrition. Developments in Plant and Soil Sciences, vol 92. Springer, Dordrecht. https://doi.org/10.1007/0-306-47624-X_255

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  • DOI: https://doi.org/10.1007/0-306-47624-X_255

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-7105-2

  • Online ISBN: 978-0-306-47624-2

  • eBook Packages: Springer Book Archive

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