Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in Zimbabwe

The optimization of water footprints in crop production is critical, given that agroecosystems currently account for more than 70% of global freshwater use. To achieve this, crop growth models provide insights into the impact of various crop and irrigation management strategies on both crop producti...

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Main Authors: Simbarashe Govere, Justice Nyamangara, E. Z. Nyakatawa
Format: Article
Language:English
Published: IWA Publishing 2023-11-01
Series:Water Supply
Subjects:
Online Access:http://ws.iwaponline.com/content/23/11/4714
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author Simbarashe Govere
Justice Nyamangara
E. Z. Nyakatawa
author_facet Simbarashe Govere
Justice Nyamangara
E. Z. Nyakatawa
author_sort Simbarashe Govere
collection DOAJ
description The optimization of water footprints in crop production is critical, given that agroecosystems currently account for more than 70% of global freshwater use. To achieve this, crop growth models provide insights into the impact of various crop and irrigation management strategies on both crop productivity and water use. This study evaluated the capability of the AquaCrop model in simulating wheat yields, crop water use, and water footprints in the Middle-Manyame Sub-Catchment, Zimbabwe. The model was calibrated and validated using experimental data collected from field experiments. Simulation experiments were conducted to assess the impact of early and late planting, drip and sprinkler irrigation techniques, and no mulch, organic mulch, and synthetic mulch options on the water footprint (WF). The AquaCrop model accurately simulated soil water content, crop water use, crop biomass, and grain yield. Simulation runs showed that early planting reduced WFblue and WFgreen by 25 and 4%, respectively. The lowest consumptive WF was observed with drip irrigation and synthetic mulching. The greatest decline in WFblue and WFgreen (52 and 11%) was simulated under early planting, using drip irrigation and synthetic mulching. Overall, the study highlights the importance of efficient crop and irrigation management practices to reduce water footprints in agroecosystems. HIGHLIGHTS AquaCrop was validated for winter wheat in Zimbabwe for the first time.; AquaCrop accurately simulated canopy cover, grain yield, and water use.; Early planting, drip irrigation, and synthetic mulching reduce the WFblue by 52%.; Early planting, drip irrigation, and synthetic mulching reduce the WFgreen by 11%.; Combining farm trials, experiments, and simulations provides realistic options for optimizing WFs.;
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spelling doaj.art-6a07ea30ee48484aa29e396d0dca743b2023-12-02T12:34:37ZengIWA PublishingWater Supply1606-97491607-07982023-11-0123114714472710.2166/ws.2023.295295Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in ZimbabweSimbarashe Govere0Justice Nyamangara1E. Z. Nyakatawa2 Department of Environmental Sciences, University of Botswana, Plot 4775 Notwane Rd, Gaborone, Botswana Department of Environmental Sciences and Technology, Marondera University of Agricultural Sciences and Technology, Private Bag 35, Marondera, Zimbabwe Zimbabwe Open University, 3rd Floor West Main Post Office Building, Harare, Zimbabwe The optimization of water footprints in crop production is critical, given that agroecosystems currently account for more than 70% of global freshwater use. To achieve this, crop growth models provide insights into the impact of various crop and irrigation management strategies on both crop productivity and water use. This study evaluated the capability of the AquaCrop model in simulating wheat yields, crop water use, and water footprints in the Middle-Manyame Sub-Catchment, Zimbabwe. The model was calibrated and validated using experimental data collected from field experiments. Simulation experiments were conducted to assess the impact of early and late planting, drip and sprinkler irrigation techniques, and no mulch, organic mulch, and synthetic mulch options on the water footprint (WF). The AquaCrop model accurately simulated soil water content, crop water use, crop biomass, and grain yield. Simulation runs showed that early planting reduced WFblue and WFgreen by 25 and 4%, respectively. The lowest consumptive WF was observed with drip irrigation and synthetic mulching. The greatest decline in WFblue and WFgreen (52 and 11%) was simulated under early planting, using drip irrigation and synthetic mulching. Overall, the study highlights the importance of efficient crop and irrigation management practices to reduce water footprints in agroecosystems. HIGHLIGHTS AquaCrop was validated for winter wheat in Zimbabwe for the first time.; AquaCrop accurately simulated canopy cover, grain yield, and water use.; Early planting, drip irrigation, and synthetic mulching reduce the WFblue by 52%.; Early planting, drip irrigation, and synthetic mulching reduce the WFgreen by 11%.; Combining farm trials, experiments, and simulations provides realistic options for optimizing WFs.;http://ws.iwaponline.com/content/23/11/4714aquacrop modelcrop productivitycrop water usedrip irrigationwater footprints
spellingShingle Simbarashe Govere
Justice Nyamangara
E. Z. Nyakatawa
Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in Zimbabwe
Water Supply
aquacrop model
crop productivity
crop water use
drip irrigation
water footprints
title Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in Zimbabwe
title_full Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in Zimbabwe
title_fullStr Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in Zimbabwe
title_full_unstemmed Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in Zimbabwe
title_short Optimizing crop production water footprints in the face of water scarcity: a combined experimental and simulation study of wheat in Zimbabwe
title_sort optimizing crop production water footprints in the face of water scarcity a combined experimental and simulation study of wheat in zimbabwe
topic aquacrop model
crop productivity
crop water use
drip irrigation
water footprints
url http://ws.iwaponline.com/content/23/11/4714
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AT justicenyamangara optimizingcropproductionwaterfootprintsinthefaceofwaterscarcityacombinedexperimentalandsimulationstudyofwheatinzimbabwe
AT eznyakatawa optimizingcropproductionwaterfootprintsinthefaceofwaterscarcityacombinedexperimentalandsimulationstudyofwheatinzimbabwe