ASSESSMENT OF AQUACROP MODEL IN PREDICTION MAIZE HYBIRDS YILD BY SIMULATION PRODUCTION UNDER DEFICIT IRRIGATION

  • AKRAM ABBAS KHALAF university of duhok
  • DAHAM SALAH AL.DIN. HAM zakho university
Keywords: AquaCrop model, Defecit Irrigation, Grain Yield, maize genotype

Abstract

The study was carried out at the field of Agriculture College, Duhok University, ‎during spring season 2015, using drip irrigation system., the irrigation ‎levels (100%, 75% and 50% of field capacity) arranged in main plots and maize hybrids namely Symiami, IK58*HS and Ddhi9445*HS in the sub plots within split plot design in Randomize Complete Block Design.The data were recorded on, grain yield, above ground biomass, and harvest index. The results showed that the Actual evapotranspiration (ETa) was linear relationship with water applied and water ‎use.

The production parameters were significantly affected by increasing irrigation levels. The level 100% of field capacity showed higher amounts of grain yield,  above ground biomass and grain yield plant-1 compared with 75% and 50% of field capacity. The maize hybrids exhibited a significant effect on grain yield and above ground biomass and the hybrid IK58*HS was superior in grain yield plant-1 and above ground biomass.AquaCrop model was found to be accurate and fit to simulate grain yield,  above ground biomass.According to this study, which was revealed that the productivity parameters of maize hybrids were more affected by deficit irrigation. The 100% of field capacity and the hybrid IK58*HS gave a significant increase in most of  production parameters. AquaCrop ‎model can be used as a helpful tool in the evaluation and comparison of crops productivity and irrigation strategies.

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References

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Published
2019-08-01
How to Cite
ABBAS KHALAF, A., & SALAH AL.DIN. HAM, D. (2019). ASSESSMENT OF AQUACROP MODEL IN PREDICTION MAIZE HYBIRDS YILD BY SIMULATION PRODUCTION UNDER DEFICIT IRRIGATION. Journal of Duhok University, 22(1), 7-23. https://doi.org/10.26682/avuod.2019.22.1.2
Section
Agriculture and Veterinary Science