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[Maize biomass simulation based on dynamic photosynthate allocation.]

Xue Yan Ma1,2, Guang Sheng Zhou1,3

  • 1Chinese Academy of Meteorological Sciences, Beijing 100081, China.

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|May 9, 2018
PubMed
Summary
This summary is machine-generated.

A new maize model accurately simulates biomass changes, explaining over 95% of total biomass variation. This tool aids in understanding crop growth and biomass formation for better crop simulation.

Keywords:
biomassmaizemodelphotosynthate allocation

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Area of Science:

  • Agricultural Science
  • Crop Physiology
  • Biomass Modeling

Background:

  • Photosynthate allocation is crucial for crop growth and biomass accumulation.
  • Accurate simulation of crop biomass dynamics is essential for agricultural research and management.

Purpose of the Study:

  • To develop and validate a photosynthate allocation model for maize.
  • To integrate this model with the WOFOST crop model for daily biomass simulation of different maize organs.

Main Methods:

  • Established a maize photosynthate allocation model based on physiological mechanisms and stage-specific characteristics.
  • Coupled the model with the CO2 assimilation module of the WOFOST crop model.
  • Validated the integrated model using 5 years of field experiment data for spring maize.

Main Results:

  • The model explained 95.4% of the total biomass change in maize.
  • It accurately simulated biomass variations for vegetative parts (87.0%), leaves (85.3%), roots (67.9%), stems (76.5%), and ears (87.5%).

Conclusions:

  • The developed model provides a robust tool for simulating maize organ biomass dynamics.
  • This enhanced simulation capability can improve the accuracy of crop growth and yield predictions.