Abstract
Modeling of irrigation methods is one of the most important techniques that contribute to the future of modern agriculture. This will conserve water as water scarcity is a major threat for agriculture. In this study, AquaCrop model was used to model different irrigation methods of maize in field trails in Al-Yousifya, 15 km Southwest of Baghdad. Field experiments were conducted for two seasons during 2016 and 2017 using five irrigation methods including furrow, surface drip and subsurface drip with three patterns of emitter depth (10, 20 and 30 cm) irrigation. AquaCrop simulations of biomass, grain yield, harvest index and water productivity were validated using different statistical parameters under the natural conditions obtained in the study area. For 2016 and 2017 seasons, results of R2 were 0.98 and 0.99, 0.99 and 0.99, 0.99 and 0.97, and 0.8 and 0.73 for biomass, grain yield, harvest index and water productivity, respectively. The study has conducted that simulation using AquaCrop is considered very efficient tool for modeling of different irrigation applications for maize production under the existing conditions in the central region of Iraq.
Highlights
The study aims at making validation and calibration of AquaCrop model by using different irrigation methods coefficients of Maize (Zea mays L.) in order to get the calibrations necessary to apply simulations and predict the use of AquaCrop model of Maize in different irrigation ways by using statistical calibration method, which will be studied for several plant measures (Water productivity, Biomass, Dry Yield and Harvest Index) and compare them with the values that are simulated by using AquaCrop model as well as study the compatibility level in accordance with statistical measurements that have used in this study
The values of the statistical analysis confirmed the accuracy of the calibration of AquaCrop in its simulation of the biomass, grain yield, harvest index and water productivity in the (Table 3)
This study showed that the subsurface drip irrigation with a depth of 20 cm I3 was the best among other irrigation methods in terms of yield and water use efficiency, which are the two main objectives of the irrigation process
Summary
AquaCrop should calibrate according to a geographical location under different climatic conditions, soil type, phenotype, irrigation method, and crop management to improve model simulation [19] [20]. The study aims at making validation and calibration of AquaCrop model by using different irrigation methods coefficients of Maize (Zea mays L.) in order to get the calibrations necessary to apply simulations and predict the use of AquaCrop model of Maize in different irrigation ways by using statistical calibration method, which will be studied for several plant measures (Water productivity, Biomass, Dry Yield and Harvest Index) and compare them with the values that are simulated by using AquaCrop model as well as study the compatibility level in accordance with statistical measurements that have used in this study
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