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Paper Information

Journal:   PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH)   summer 2018 , Volume 10 , Number 33 ; Page(s) 174 To 185.

Evaluation of Aquacrop model to predict maize total biomass and grain yield under different water regimes and fertilizer

Author(s):  AMIRI E., KHORSAND A.
This study was conducted for performance evaluation of AquaCrop model to predict grain yield and biomass of maize genotype SC704 in Lahijan, Iran for two years (2010-2011). The experiment was a randomize complete block based on a split plots design with three replications. Irrigation treatments were in the main plots as main factor in three irrigation levels 6, 12 and 18 days. Nitrogen fertilizer treatments were as sub plots in 4 levels of 0, 120, 180 and 240 kg/ha. Evaluation simulated and measured grain yield and biomass by adjusted coefficient of correlation (R2) and by normalized root mean square errors (RMSEn). Based on results, the average normalized root mean square error of calibration and validation in grain yield prediction for, were calculated 14. 74 and 12. 01 percent, respectively and for biomass, were calculated 10. 31 and 9. 66, respectively. Also, the regression coefficient (R2) of calibration and validation for maize grain yield, were calculated 0. 86 and 0. 80, respectively and for maize biomass, were calculated 0. 92 and 0. 86, respectively. Results indicated that, the AquaCrop model predicted maize grain yield and biomass prediction with an appropriate precision and can determine the optimization strategies for improve the water productivity and nitrogen fertilizer in maize used in Gilan province.
Keyword(s): Crop yield,Gilan,maize,simulation model
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