Determination of constants of a Two-Leaf multi-scale photosynthesis model using a genetic algorithm

Glen K. Menezes, Luis F. Rodriguez

Research output: Contribution to conferencePaperpeer-review


Photosynthesis is a well studied process and has been simulated at different scales using mechanistic or empirical (or semi-mechanistic) models. Here we have presented a modified Two-Leaf model of photosynthesis which is a canopy scale model underpinned by a biochemical leaf model. The biochemical model is based on enzyme kinetics and is mechanistic while the canopy model uses a numerical integration scheme and is empirical. This model calculates the change in Leaf Area Index (LAI) during life span of the plant and simulates growth with increase in LAI and senescence with reduction in LAI. Thus the Daily Carbon Gain (DCG) of the plant can be determined from emergence to senescence. The proposed model is based on the Two-Leaf canopy scale model presented by De Pury and Farquhar, which has been modified for growth chamber plants and uses a different numerical integration scheme. Thus the constants of this modified canopy model need to be re-calculated. The non-linear form of the equations, however, negates the use of linear regression methods; therefore we have adopted a genetic algorithm to determine the constants of the canopy model. Preliminary results showed that the model achieved a good fit in the early growth phases but over-predicted in senescence phase. A plan has been set for further work to improve fit using data from MEC model and also determine additional uses for this work.

Original languageEnglish (US)
StatePublished - Nov 7 2007
Event2007 ASABE Annual International Meeting, Technical Papers - Minneapolis, MN, United States
Duration: Jun 17 2007Jun 20 2007


Other2007 ASABE Annual International Meeting, Technical Papers
Country/TerritoryUnited States
CityMinneapolis, MN


  • Genetic algorithms
  • Multi-scale modeling
  • Photosynthesis

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Engineering(all)


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