Regional modeling of winter wheat yield and water productivity under water-saving irrigation scenarios. Issue 10 (16th September 2022)

• Record Type: Journal Article
• Authors: Ahmadi, Seyed Hamid; Jorenush, Mohammad Hadi; Boroomand Nasab, Saeed
• Is Part Of: Journal of water and climate change. Volume 13:Issue 10(2022)
• Page Start: 3547
• Page End: 3565
• Publication Date: 2022-09-16
• Subjects: AquaCrop -- climatic conditions -- deficit irrigation -- sowing date -- water productivity -- wheat grain yield; Water -- Periodicals; Hydrology -- Periodicals; Climatic changes -- Periodicals; Climatic changes; Hydrology; Water; Electronic journals; Periodicals; 333.9116
• DOI: 10.2166/wcc.2022.170
• Languages: English
• ISSNs: 2040-2244

Abstract

Abstract: Wheat is the major agricultural crop in Iran. Using reliable tools to estimate wheat grain yield may help the regional planners and stakeholders to employ proper cultivation approaches to increase grain yield in different regions. The process-based crop growth models are the essential analytical tools for representing the main interactions between the environment, crop, resources, and yield production. For these reasons, the crop growth models have been used as an important component in productive farming systems for assessing and improving the crop production at field and regional scales. In this study, the parameterized AquaCrop model was employed to simulate the four major elements that affect the crop growth process, such as soil water content, canopy cover, biomass, and grain yield, of three irrigated winter wheat cultivars. The field experiments were conducted in four locations with different climatic conditions in the south and southwest of Iran during three consecutive growing seasons of 2016–2017, 2017–2018, and 2018–2019. Results showed that AquaCrop had reliable simulation of soil water content with normalized root mean squared error (NRMSE) and Nash–Sutcliffe coefficient ( C NS ) ranging from 0.05 to 0.15 and 0.69 to 0.85, respectively, for the four study locations. The NRMSE and C NS ranged from 0.10 to 0.21 and 0.83 to 0.97 for canopy cover, respectively. The NRMSE and C NS values were 0.11–0.26 and 0.80–0.97 for biomass, respectively. These results indicate that the parameterized AquaCrop model has high skill in the simulation of soil water content, canopy cover, biomass, and grain yield of different winter wheat cultivars in the vast regions in the southern part of Iran. The model was then used to simulate wheat grain yield and irrigation water productivity (WP) for 324 scenarios, including nine sowing dates, three irrigation levels, and three climatic conditions. AquaCrop showed that it was skillful to simulate grain yield and WP of different irrigated winter wheat cultivars in different regional climatic conditions, deficit irrigation levels, and sowing dates. Overall, the AquaCrop model could be used as a reliable decision-making tool for the field managers and stakeholders. HIGHLIGHTS: The AquaCrop model was used for wheat growth modeling in four locations in the south and southwest of Iran. Soil water content, canopy cover, biomass, and grain yield of irrigated winter wheat were simulated successfully. AquaCrop was used to simulate wheat grain yield and water productivity under scenarios of planting dates, deficit irrigation levels, and climate conditions. The AquaCrop model is a strong and reliable decision-making tool for modeling irrigation management scenarios. Graphical Abstract