Agronomy Journal Journal of Natural Resources and Life Sciences Education
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Published online 17 August 2005
Published in Agron J 97:1295-1303 (2005)
DOI: 10.2134/agronj2004.0251
© 2005 American Society of Agronomy
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Process-Based Modeling of Timothy Regrowth

Marcel van Oijena,*, Mats Höglindb, Hans Martin Hanslinb and Nick Caldwella

a CEH-Edinburgh, Bush Estate, Penicuik, EH26 0QB, UK
b The Norwegian Crop Research Inst., Særheim Research Centre, Postvegen 213, N-4353 Klepp St., Norway



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Fig. 1. Measurements (symbols) and simulations (lines) for the experiments in 2000. Two treatments were applied: early cutting (+,—) and late cutting (o, ___). Eight variables were measured and simulated: aboveground biomass (g dry matter m–2), leaf area index (LAI) (m2 leaf m–2 ground), water-soluble carbohydrate concentration (g CH2O g–1 aboveground dry matter), tiller density (no. m–2), leaf elongation rate (m d–1 tiller –1), number of elongating leaves (no. tiller–1), leaf appearance rate (no. tiller–1 d–1), and specific leaf area (m2 leaf g–1 leaf dry matter). Simulations made use of default, uncalibrated parameter values.

 


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Fig. 2. Measurements and simulations for the experiments in 2001. Treatments and variables as in Fig. 1.

 


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Fig. 3. Measurements and simulations for the experiments in 2002. Treatments and variables as in Fig. 1.

 


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Fig. 4. Measurements and simulations of aboveground biomass and tiller density for each year and both treatments [i.e., early cutting (+, —) and late cutting (o, ___)]. Simulation results differ from those shown in Fig. 1–3 in that parameters were optimized for minimum RMSEnorm.

 





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