Variability of Parameters of Oryza (V3) for Rice under Different Water and Nitrogen Treatments and the Cross Treatments Validation. | [International Journal of Agriculture and Biology • 2018]

Author(s):

1. Junzeng Xu: State key laboratory of hydrology-water resources and hydraulic engineering, Hohai University, Nanjing, China;College of water conservancy and hydropower engineering, Hohai University, Nanjing, China

2. Qi Liao: College of water conservancy and hydropower engineering, Hohai University, Nanjing, China

3. Shihong Yang: State key laboratory of hydrology-water resources and hydraulic engineering, Hohai University, Nanjing, China;College of water conservancy and hydropower engineering, Hohai University, Nanjing, China

4. Yuping Lv: College of water conservancy and hydropower engineering, Hohai University, Nanjing, China

5. Qi Wei: College of water conservancy and hydropower engineering, Hohai University, Nanjing, China

6. Yawei Li: College of water conservancy and hydropower engineering, Hohai University, Nanjing, China

7. Fazli Hameed: College of water conservancy and hydropower engineering, Hohai University, Nanjing, China

Abstract:

To reveal the variability in ORYZA (v3) model parameters among different water and nitrogen treatments, and illustrate the model performance and uncertainty in rice biomass simulation with different treatment specific calibrated parameters, ORYZA (v3) model were calibrated and validated treatment specifically based on data from four different water and nitrogen treatments. Generally, the treatment specific calibrated ORYZA (v3) model is accurate in modelling rice biomass accumulation in the exact specific treatment, and it performed a little better under potential condition than water or nitrogen limited condition. Variability of treatment specific calibrated parameters for ORYZA (v3) model was low, with the maximum CV of 6.43% for biomass partitioning factor to leaf. The cross treatment validation indicated the errors in simulated total above ground biomass (WAGT) and panicles biomass (WSO) for a specific treatment were enlarged in a certain degree, when it was simulated by parameters calibrated from others. For WAGT simulation, the FF (flooding irrigation + farmers' fertilization practice) treatment calibrated parameters performed slightly better than others. For WSO simulation, all the four group calibrated parameters underestimated it in the early panicle growth phrase under water or nitrogen limited conditions, and FF and NFS (non-flooding controlled irrigation + site specific nitrogen management) treatment parameters performed slightly better than FS (flooding irrigation + site specific nitrogen management) treatment and NFF (non-flooding controlled irrigation + farmers' fertilization practice treatment). There would be a certain degree of uncertainty when rice biomass production simulated by ORYZA (v3) model with different treatment specific calibrated parameters. The range and standard deviation of simulated WAGT or WSO is low at beginning and increased along with crop development, with the values in FF and FS treatment are generally lower than that in NFF and NFS.

Page(s): 221-222

DOI: DOI not available

Published: Journal: International Journal of Agriculture and Biology, Volume: 20, Issue: 2, Year: 2018

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