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Parameter optimization and field validation of the functional-structural model GREENLAB for maize.

Yan Guo1, Yuntao Ma, Zhigang Zhan

  • 1Key Laboratory of Plant-Soil Interactions, Ministry of Education, College of Resources and Environment, China Agricultural University, Beijing 100094, China.

Annals of Botany
|January 5, 2006
PubMed
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This study introduces multi-fitting to optimize crop models for plant architecture, improving predictions of maize growth. The validated GREENLAB model offers enhanced insights into crop phenotypic plasticity and mechanized cropping systems.

Area of Science:

  • Plant architecture modeling
  • Functional-structural plant models
  • Computational biology

Background:

  • Increasing demand for crop models based on architectural principles and organogenesis.
  • Need for models guiding new crop development and understanding phenotypic plasticity.
  • Requirement for crop architecture information in mechanized cropping systems.

Purpose of the Study:

  • Introduce a novel crop parameter optimization methodology: multi-fitting.
  • Validate the GREENLAB functional-structural model for maize using independent field data.
  • Describe a 3D visualization technique for model outputs.

Main Methods:

  • Grew maize in Beijing across multiple summer seasons with detailed morphological observations.
  • Utilized generalized least square method for parameter optimization using 2000 data.

Related Experiment Videos

  • Employed in situ plant digitization for 3D organ symbol file creation and model output visualization.

    • Main Results:

    • Multi-fitting demonstrated superior parameter accuracy compared to single fitting.
    • The calibrated GREENLAB model accurately predicted maize plant architecture and vegetative growth across seasons.
    • Biomass partitioning predictions during grain filling showed less accuracy, indicating areas for model refinement.

    Conclusions:

    • Multi-fitting enhances the accuracy of crop model parameterization and extracts generic organ expansion kinetics.
    • The validated GREENLAB model provides reliable predictions for maize vegetative growth under varying conditions.
    • Further model development should address processes governing cob sink size and leaf senescence for improved accuracy.