Table 1 Models used for the simulation exercise and their main characteristics.

From: Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments

Model

Exercise simulated

CO2 response for primary production

Other direct effects of [CO2]

Leaf area increase

Yield formation

Reference

FACE

SPAR

Leaf-level

Canopy-level

Resource-driven

Temperature-driven

Direct CO2 effect on grain set or harvest index

Grain number

Partitioning coefficient

LRC

FvCB

RUE

Carbon

Nitrogen

1. APSIM-ORYZA

   

   

 

47,48

2. CERES-RICE

  

Gs, Tr

  

 

 

49

3. DNDC-Rice

 

 

Gs, Tr

 

   

20,50,51

4. GECROS

 

 

Gs, Gm, Tr

  

 

52

5. GEMRICE

  

phenology, spikelet sterility

  

 

5356

6. H/H

 

 

Gs

 

   

20,51,57

7. InfoCrop

 

  

Tr,

  

 

58

8. MATCRO§

 

 

Gs

    

5961

9. MCWLA§

 

 

Gs, Tr

  

 

62

10. ORYZA2000

   

   

 

47

11. RiceGrow

   

    

63

12. RicePSM

   

  

 

64

13. SAMARA§

 

  

Tr

  

 

 

65

14. SIMRIW§

  

phenology, spikelet sterility

  

 

66,67

15. STICS

   

Gs, Tr

  

 

68,69

16. WARM§

  

 

    

70,71

  1. Gs, stomatal conductance; Gm, mesophyll conductance; Tr, transpiration.
  2. Leaf area increase;
  3. Resource-driven, dependent: LAI increases with the resource such as C and N allocated to the leaves;
  4. Temperature-driven, LAI increases without any effects of resource availability (only as a function of developmental stages or temperatures).
  5. Yield formation;
  6. Grain number, yield is calculated by grain number × individual grain weight;
  7. Partitioning coefficient, yield is calculated by biomass × harvest index.;
  8. Direct CO2 effect on grain set or harvest index, models that account for a direct effect of E-[CO2] on grain set or harvest index.
  9. §The models that do not include the quantification of the effects of different nitrogen on crop growth and yield.