Simplifying sirius: Sensitivity analysis and development of a meta-model for wheat yield prediction

European Journal of Agronomy

Volumn 14, Issue 1, 2001, Pages 43-60

  Brooks, Roger J ^a   Semenov, Mikhail A ^b   Jamieson, Peter D ^c  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

^c THE NEW ZEALAND INSTITUTE FOR PLANT AND FOOD RESEARCH LIMITED   (New Zealand)

Author keywords

Computer simulation; Crop model; Mathematical modelling; Meta model; Model simplification

Indexed keywords

TRITICUM AESTIVUM;

EID: 0035139373     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1161-0301(00)00089-7     Document Type: Article

References (24)

1. The temperature response of vernalization in wheat-a developmental analysis
2. The influence of daylength on the final leaf number in spring wheat
3. Sensitivity analysis of the Sirius wheat model
4. Modelling climate change impacts on wheat in central England
5. Choosing the best model: Level of detail, complexity and model performance
6. Methods and benefits of simplification in simulation
7. Predicting crop yields under climate change
8. Mathematical modelling of root growth under different nitrogen and irrigation treatments: The ecosys approach
9. Prediction of leaf appearance in wheat: A question of temperature
10. Drought influences on grain yield of barley, wheat and maize
11. Making sense of wheat development: A critique of methodology
12. A comparison of the models AFRCWHEAT2, CERES-Wheat, Sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought
13. Sirius: A mechanistic model of wheat response to environmental variation
14. Comments on "Testing winter wheat simulation models' predictions against observed UK grain yields" by S. Landau et al (1998)
15. 2 effects on wheat with varying nitrogen supplies
16. Modelling nitrogen uptake and redistribution in wheat
17. Irrigation at Woburn VII
18. AFRCWHEAT2: A model of the growth and development of wheat incorporating responses to water and nitrogen
19. On the assessment of surface heat flux and evaporation using large scale parameters
20. Description and performance of CERES-Wheat: A user-oriented wheat yield model
21. The temperature response of vernalization in wheat: Modelling the effect on the final number of mainstem leaves
22. A winter wheat crop simulation model without water or nutrient limitations
23. Comparison of wheat simulation models under climate change, I. Model calibration and sensitivity analyses