Abstract
Problem statement: Crop growth models have many potential uses for crop managements. Approach: In order to evaluation of CERES-Wheat model on five varieties of winter wheat in Karaj weather condition in Full Irrigation (FI) and Stop Irrigation (SI) after flowering until final growth stage an experiment conducted in shape of split plot in based on randomize complete block design with four replicate in research field Islamic Azad university of Karaj branch in 2009-2010. Two irrigation levels located in main plot and cultivars as sub plot. In this study simulation of some traits such as Grain Yield (GY), Biomass (B) and Leaf Area Index (LAI) was evaluated by use of CERES-Wheat model. Results: According to results, model was successful in simulation of traits whole under two irrigation treatments. Rate of coefficient of correlation (R2) was low in regression curve of measured versus simulated for traits of LAI. Model simulated GY with high vigor for both irrigation conditions. Variation dimension of R2 in FI and SI obtained 0.8089-0.8097 and 0.8087-0.9504, respectively. Variation dimension of Wilmot coefficient (d) FI and SI was 0.65-0.74 and 0.58-0.74, respectively. Simulation precise in SI was lower than FI. We could after evaluation and calibration model by means of experimental replication and reduce of Root Mean Square Error (RMSE) as a result used for research objective management programming in Karaj area. Conclusion: The results of CERES-Wheat model assessment in this research indicated that this model in full irrigation and discontinuing the irrigation after flowering stage have appropriate and good accurate, simulation of seed yield and biomass but has simulated the leaf area index well only in full irrigation conditions.
Highlights
Water stress due to drought and salinity is probably the most significant abiotic factor limiting plant and crop growth and development (AlTaisan, 2010)
Drought stress can reduce grain yield, it has been estimated that average yield loss of 17-70% in grain yield is due to drought stress (Ahmadizadeh et al, 2011)
It may be due to nonidentification of varieties in stress conditions because of genetic coefficients applied in both irrigation and drought stress conditions or perhaps other input data to the model have not the appropriate accurate and the model could not simulate the stress conditions for some varieties
Summary
Water stress due to drought and salinity is probably the most significant abiotic factor limiting plant and crop growth and development (AlTaisan, 2010). Andarzian et al (2008) in a study with wheatPot model that were conducted in different locations across the Khouzestan-Iran, province over the 2003–2004 and 2004–2005 growing seasons According to their results of the model evaluation under the environmental conditions of Khouzestan province showed that the Managerial information: Including specifications of test plots, plant spacing, depth of planting, seed and seedling density, test execution method, introduction of experiment treatments, introduction of varieties, irrigation method and declaration of amount and time of irrigation, fertilizer using method and its amount, dates model had predicted yield potential from -5% to +19% of planting and harvesting, soil structure and texture. The trend of simulated biomass variations in full-irrigation and stopping irrigation conditions for wheat varieties aiding CERES-Wheat model in Karaj, considering the Fig. 2 and variations range of d coefficient in different varieties are respectively within the range
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