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A modified CROPGRO model for simulating soybean growth in controlled environments.

J Cavazzoni1, T Volk, G Stutte

  • 1Department of Biology, New York University 10003, USA. jmv4031@is2.nyu.edu

Life Support & Biosphere Science : International Journal of Earth Space
|January 1, 1997
PubMed
Summary
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This study adapted the CROPGRO model to analyze soybean growth under elevated carbon dioxide (CO2) levels. The modified model accurately simulates experimental data, showing potential for optimizing legume production in bioregenerative systems.

Area of Science:

  • Agricultural science
  • Plant physiology
  • Bioregenerative life support systems

Background:

  • Soybean (cv. Hoyt) experiments were conducted at elevated CO2 levels (1200 micromol mol-1) at Kennedy Space Center, FL.
  • Accurate crop growth modeling is crucial for understanding plant responses to environmental changes.

Purpose of the Study:

  • To adapt the CROPGRO crop growth model for analyzing soybean experimental data.
  • To improve model agreement with gas-exchange data under elevated CO2.

Main Methods:

  • Inputting square-wave temperature and photosynthetically active radiation (PAR) profiles.
  • Modifying biomass partitioning, developmental parameters, and leaf area expansion rates.
  • Adjusting PAR albedo and diffuse PAR fraction for hydroponic conditions.
Keywords:
NASA Center KSCNASA Discipline Life Support SystemsNon-NASA Center

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Main Results:

  • The adapted CROPGRO model showed improved agreement with experimental gas-exchange data.
  • Specific modifications included changes in leaf area expansion and specific leaf area.
  • The model successfully simulated soybean responses under elevated CO2.

Conclusions:

  • The modified CROPGRO model is a promising tool for analyzing legume production in controlled environments.
  • Further development could lead to optimization of crop yields in bioregenerative life support systems.
  • This research contributes to advancing controlled environment agriculture and space exploration technologies.