Simulation of growth and yield of four wheat cultivars using WOFOST model under middle Gujarat region
DOI:
https://doi.org/10.54386/jam.v15i1.1437Keywords:
WOFOST, Wheat, SimulationAbstract
WOFOST is a mechanistic crop growth simulation model capturing the complex effect of climate, genotype and agronomic variable through several functions. Results showed that mean observed days to anthesis were 57.9 ± 2.5, 61.1 ± 2.1, and 59.5 ± 1.6 during 2009-10, 2010-11 and for pooled data, while simulated days to anthesis were 60.3 ± 3.9, 62.8 ± 2.0 and 61.6 ± 2.2, respectively. The values of
RMSE for simulated maximum LAI were 0.11, 0.08 and 0.08 for 2009-10, 2010-11 and for pooled data, respectively. The observed mean yields were 3406 ± 223, 3757 ± 684 and 3581 ± 430 kg ha-1 during 2009-10, 2010-11 and for pooled analysis while, respective simulated mean yields were 3496 ± 435, 4061 ± 684 and 3778 ± 494 kg ha-1. Likewise, measured above ground production were 8349 ± 752, 8495 ± 953 and 8422 ± 796 kg ha-1 during 2009-10, 2010-11 and for pooled data, while corresponding simulated biomass were 8787 ± 698, 8910 ± 733 and 8889 ± 653 kg ha-1, respectively. The very low value of correlation coefficient r=0.30 and standard deviation ± 4.26 proves the failure of WOFOST model for simulation of harvest index during 2009-10. However, during second year and for pooled analysis the model efficiently and accurately simulated the harvest index. The model performance was somewhere underestimated or overestimated but found within quite acceptable limits. The WOFOST model may be used for simulation and forecasting the yield of wheat.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
