A field trial was conducted at Sakha Experimental Research Station, Kafr El-Sheikh Governorate, Egypt during the two successive winter seasons of 2018/2019 and 2019/2020 to calibrate and validate the AquaCrop model (Version 5). Two cultivars of canola (Serw4 and Serw6) were sown to study the influence of two irrigation regimes (50 and 70% of soil moisture depletion SMD). Then, AquaCrop model was calibrated using the dataset of 1 st season and validated using the 2 nd season dataset by different statistical indicators i.e. coefficient of determination (R 2) and degree of agreement (d). Also, the simulation of climate change impact on canola yields was done. Results show that mostly, irrigation at 50% depletion from soil moisture gives higher values of seed and biomass yields (Mg ha-1) and canola water productivity compared to 70% depletion from soil moisture. This trend is found with both canola cultivars but the Serw4 records values better than Serw6. Also, results show that AquaCrop model (Version 5) is able to simulate well seed and biomass yield of canola cultivars as well as canola water productivity under different irrigation treatments at the studied region, where, values of R 2 and d record a robust agreement among predicted and observed values. As for the simulation of climate change influence, the findings indicate that increasing temperature leads to increasing the reduction percentage of seed yield of different canola cultivars, and the reduction percentage with Serw6 was more than Serw4.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.