AOBPreview originally published online on November 27, 2007
Annals of Botany 2008 101(8):1099-1108; doi:10.1093/aob/mcm212
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The Derivation of Sink Functions of Wheat Organs using the GREENLAB Model
1 Capital Normal University, 100037, BeiJing, China
2 Crop and Weed Ecology, Plant Sciences Group, Wageningen University, 6709 RZ, Wageningen, The Netherlands
3 LIAMA, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China
4 Projet DigiPlante, INRIA Rocquencourt, France
5 CIRAD, Montpellier, Cedex 5, France
* For correspondence. E-mail mzkang{at}liama.ia.ac.cn
Received: 1 March 2007 Returned for revision: 23 April 2007 Accepted: 11 July 2007 Published electronically: 27 November 2007
Background and Aims: In traditional crop growth models assimilate production and partitioning are described with empirical equations. In the GREENLAB functional–structural model, however, allocation of carbon to different kinds of organs depends on the number and relative sink strengths of growing organs present in the crop architecture. The aim of this study is to generate sink functions of wheat (Triticum aestivum) organs by calibrating the GREENLAB model using a dedicated data set, consisting of time series on the mass of individual organs (the ‘target data’).
Methods: An experiment was conducted on spring wheat (Triticum aestivum, ‘Minaret’), in a growth chamber from, 2004 to, 2005. Four harvests were made of six plants each to determine the size and mass of individual organs, including the root system, leaf blades, sheaths, internodes and ears of the main stem and different tillers. Leaf status (appearance, expansion, maturity and death) of these 24 plants was recorded. With the structures and mass of organs of four individual sample plants, the GREENLAB model was calibrated using a non-linear least-square-root fitting method, the aim of which was to minimize the difference in mass of the organs between measured data and model output, and to provide the parameter values of the model (the sink strengths of organs of each type, age and tiller order, and two empirical parameters linked to biomass production).
Key Results and Conclusions: The masses of all measured organs from one plant from each harvest were fitted simultaneously. With estimated parameters for sink and source functions, the model predicted the mass and size of individual organs at each position of the wheat structure in a mechanistic way. In addition, there was close agreement between experimentally observed and simulated values of leaf area index.
Key words: Wheat, Triticum aestivum ‘Minaret’, tiller, GREENLAB, organ mass, functional–structural model, model calibration, multi-fitting, source–sink
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