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• W3164811498 endingPage "106974" @default.
• W3164811498 startingPage "106974" @default.
• W3164811498 abstract "Growing water scarcity and increasing Nitrogen (N) fertiliser prices in South Africa require more prudent N fertiliser and irrigation water use approaches. If the goal of sustainable agricultural intensification is to be realised, it is vital to develop location-specific agricultural land management strategies that promote increased crop productivity while minimising negative environmental impacts. In this study, a calibrated and validated Environmental Policy Integrated Climate (EPIC) model was used to simulate a range of N fertiliser and irrigation water levels on maize ( Zea mays L .) yield in the Eastern Cape of South Africa. Results showed that a fertiliser and irrigation water management schedule combining approximately 200 kg N ha -1 and 580 mm irrigation water per maize growing season provided the highest average maize yield of 12.2 Mg ha -1 (an increase of +69% above farmers’ current maize yield levels). Nitrogen fertiliser application levels greater than 160 kg N ha -1 resulted in potential N fertiliser leaching losses of more than 35 kg N ha -1 . The EPIC model can be considered a valuable tool to aid decision-makers in identifying optimal, site-specific irrigation water and N fertiliser application levels that contribute to increased maize crop productivity while maximising water use. • Crop model used to simulate fertiliser and irrigation management on maize yield. • Highest average maize yield of 12.2 t ha -1 given by 155 kg N ha -1 and 600 mm water. • Farmers’ average maize yield approximately 7.2 t ha -1 . • N fertiliser application above 160 kg N ha -1 result in N losses above 35 kg N ha -1 ." @default.
• W3164811498 created "2021-06-07" @default.
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• W3164811498 date "2021-08-01" @default.
• W3164811498 modified "2023-09-26" @default.
• W3164811498 title "Using EPIC to simulate the effects of different irrigation and fertilizer levels on maize yield in the Eastern Cape, South Africa" @default.
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• W3164811498 doi "https://doi.org/10.1016/j.agwat.2021.106974" @default.
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