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Evaluation of irrigation scheduling and yield response for wheat cultivars using the AquaCrop model in an arid climate
Yield, soil water balance components and evapotranspiration-based water productivity (WPET) of three winter wheat cultivars were investigated using the AquaCrop model under arid conditions in Shiraz, Iran, for two consecutive years. The irrigation treatments were non-stressed (I1) and post-anthesis...
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Published in: | Water science & technology. Water supply 2022-01, Vol.22 (1), p.602-614 |
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description | Yield, soil water balance components and evapotranspiration-based water productivity (WPET) of three winter wheat cultivars were investigated using the AquaCrop model under arid conditions in Shiraz, Iran, for two consecutive years. The irrigation treatments were non-stressed (I1) and post-anthesis water stress (I2) with three wheat cultivars. Evaluation of the model was performed using the coefficient of root mean squared error (RMSE), normalized RMSE and R2. The AquaCrop model performed well in simulating grain yield and final biomass production with R2 > 0.90, and RMSE and normalized RMSE values less than 10. The I1 treatment resulted in higher grain yield and biomass productivity than the I2 treatment. The I2 irrigation resulted in yield reduction of 21 and 24% in the 2006–2007 and 2007–2008 growing seasons, respectively, as compared with I2. Using the measured grain yield and AquaCrop-simulated water balance, the amount of WPET was found to vary from 0.68 to 0.95 kg m−3. The AquaCrop model was able to predict winter wheat biomass and yield production with a good accuracy in the arid conditions of this study and its ability to simulate these variables for different wheat cultivars' was especially notable. The AquaCrop model can be used to explore management scenarios to improve wheat water management in the study region. |
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The irrigation treatments were non-stressed (I1) and post-anthesis water stress (I2) with three wheat cultivars. Evaluation of the model was performed using the coefficient of root mean squared error (RMSE), normalized RMSE and R2. The AquaCrop model performed well in simulating grain yield and final biomass production with R2 > 0.90, and RMSE and normalized RMSE values less than 10. The I1 treatment resulted in higher grain yield and biomass productivity than the I2 treatment. The I2 irrigation resulted in yield reduction of 21 and 24% in the 2006–2007 and 2007–2008 growing seasons, respectively, as compared with I2. Using the measured grain yield and AquaCrop-simulated water balance, the amount of WPET was found to vary from 0.68 to 0.95 kg m−3. The AquaCrop model was able to predict winter wheat biomass and yield production with a good accuracy in the arid conditions of this study and its ability to simulate these variables for different wheat cultivars' was especially notable. The AquaCrop model can be used to explore management scenarios to improve wheat water management in the study region.</description><identifier>ISSN: 1606-9749</identifier><identifier>EISSN: 1607-0798</identifier><identifier>DOI: 10.2166/ws.2021.246</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Accuracy ; Agricultural production ; Agricultural research ; aquacrop model ; Arid climates ; Aridity ; Biomass ; Corn ; Crop yield ; Crops ; Cultivars ; Evaluation ; Evapotranspiration ; Food ; Growing season ; Growth models ; Irrigation ; Irrigation scheduling ; Moisture content ; Potassium ; Productivity ; Root-mean-square errors ; Seasons ; Simulation ; Soil fertility ; Soil water ; Testing laboratories ; Triticum aestivum ; Water balance ; Water management ; water productivity ; Water stress ; Wheat ; Winter wheat</subject><ispartof>Water science & technology. 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Water supply</title><description>Yield, soil water balance components and evapotranspiration-based water productivity (WPET) of three winter wheat cultivars were investigated using the AquaCrop model under arid conditions in Shiraz, Iran, for two consecutive years. The irrigation treatments were non-stressed (I1) and post-anthesis water stress (I2) with three wheat cultivars. Evaluation of the model was performed using the coefficient of root mean squared error (RMSE), normalized RMSE and R2. The AquaCrop model performed well in simulating grain yield and final biomass production with R2 > 0.90, and RMSE and normalized RMSE values less than 10. The I1 treatment resulted in higher grain yield and biomass productivity than the I2 treatment. The I2 irrigation resulted in yield reduction of 21 and 24% in the 2006–2007 and 2007–2008 growing seasons, respectively, as compared with I2. Using the measured grain yield and AquaCrop-simulated water balance, the amount of WPET was found to vary from 0.68 to 0.95 kg m−3. The AquaCrop model was able to predict winter wheat biomass and yield production with a good accuracy in the arid conditions of this study and its ability to simulate these variables for different wheat cultivars' was especially notable. The AquaCrop model can be used to explore management scenarios to improve wheat water management in the study region.</description><subject>Accuracy</subject><subject>Agricultural production</subject><subject>Agricultural research</subject><subject>aquacrop model</subject><subject>Arid climates</subject><subject>Aridity</subject><subject>Biomass</subject><subject>Corn</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Cultivars</subject><subject>Evaluation</subject><subject>Evapotranspiration</subject><subject>Food</subject><subject>Growing season</subject><subject>Growth models</subject><subject>Irrigation</subject><subject>Irrigation scheduling</subject><subject>Moisture content</subject><subject>Potassium</subject><subject>Productivity</subject><subject>Root-mean-square errors</subject><subject>Seasons</subject><subject>Simulation</subject><subject>Soil fertility</subject><subject>Soil water</subject><subject>Testing laboratories</subject><subject>Triticum aestivum</subject><subject>Water balance</subject><subject>Water management</subject><subject>water productivity</subject><subject>Water stress</subject><subject>Wheat</subject><subject>Winter wheat</subject><issn>1606-9749</issn><issn>1607-0798</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNo9UU1LAzEUXETBz5N_IOBRtibZbJIepfgFghc9h7fJS5uybmqy2-K_N7bi6b03DDPDm6q6ZnTGmZR3uzzjlLMZF_KoOmOSqpqquT7e77KeKzE_rc5zXlPKlWL8rNo-bKGfYAxxINGTkFJYHq5sV-imPgxLAoMj3wF7RxLmTRwyEh8T2a0QRmKnfgxbSJlM-Zc8rpDcf02wSHFDPqPDnoShSBBIwRHbh08Y8bI68dBnvPqbF9XH48P74rl-fXt6Wdy_1raRYqwdegTHGta5jned9KrAUlNhtei8tq1QqDmVbeultuhbkK3lllFGlbTMNhfVy0HXRVibTSrm6dtECGYPxLQ0kMZgezSN7lB4AbzjIBqNc6GU19I2nEvJLBStm4PWJsWvCfNo1nFKQ4lvyjNVydUqUVi3B5ZNMeeE_t-VUfNbktkVfinJlJKaH5wkhec</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Amiri, E.</creator><creator>Bahrani, A.</creator><creator>Irmak, S.</creator><creator>Mohammadiyan Roshan, N.</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5057-6759</orcidid></search><sort><creationdate>20220101</creationdate><title>Evaluation of irrigation scheduling and yield response for wheat cultivars using the AquaCrop model in an arid climate</title><author>Amiri, E. ; Bahrani, A. ; Irmak, S. ; Mohammadiyan Roshan, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-defead131bdb2bb6f73646804c84bf8c547e820655f68cef5a65c2c101076c1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Agricultural production</topic><topic>Agricultural research</topic><topic>aquacrop model</topic><topic>Arid climates</topic><topic>Aridity</topic><topic>Biomass</topic><topic>Corn</topic><topic>Crop yield</topic><topic>Crops</topic><topic>Cultivars</topic><topic>Evaluation</topic><topic>Evapotranspiration</topic><topic>Food</topic><topic>Growing season</topic><topic>Growth models</topic><topic>Irrigation</topic><topic>Irrigation scheduling</topic><topic>Moisture content</topic><topic>Potassium</topic><topic>Productivity</topic><topic>Root-mean-square errors</topic><topic>Seasons</topic><topic>Simulation</topic><topic>Soil fertility</topic><topic>Soil water</topic><topic>Testing laboratories</topic><topic>Triticum aestivum</topic><topic>Water balance</topic><topic>Water management</topic><topic>water productivity</topic><topic>Water stress</topic><topic>Wheat</topic><topic>Winter wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amiri, E.</creatorcontrib><creatorcontrib>Bahrani, A.</creatorcontrib><creatorcontrib>Irmak, S.</creatorcontrib><creatorcontrib>Mohammadiyan Roshan, N.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Directory of Open Access Journals</collection><jtitle>Water science & technology. Water supply</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amiri, E.</au><au>Bahrani, A.</au><au>Irmak, S.</au><au>Mohammadiyan Roshan, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of irrigation scheduling and yield response for wheat cultivars using the AquaCrop model in an arid climate</atitle><jtitle>Water science & technology. Water supply</jtitle><date>2022-01-01</date><risdate>2022</risdate><volume>22</volume><issue>1</issue><spage>602</spage><epage>614</epage><pages>602-614</pages><issn>1606-9749</issn><eissn>1607-0798</eissn><abstract>Yield, soil water balance components and evapotranspiration-based water productivity (WPET) of three winter wheat cultivars were investigated using the AquaCrop model under arid conditions in Shiraz, Iran, for two consecutive years. The irrigation treatments were non-stressed (I1) and post-anthesis water stress (I2) with three wheat cultivars. Evaluation of the model was performed using the coefficient of root mean squared error (RMSE), normalized RMSE and R2. The AquaCrop model performed well in simulating grain yield and final biomass production with R2 > 0.90, and RMSE and normalized RMSE values less than 10. The I1 treatment resulted in higher grain yield and biomass productivity than the I2 treatment. The I2 irrigation resulted in yield reduction of 21 and 24% in the 2006–2007 and 2007–2008 growing seasons, respectively, as compared with I2. Using the measured grain yield and AquaCrop-simulated water balance, the amount of WPET was found to vary from 0.68 to 0.95 kg m−3. The AquaCrop model was able to predict winter wheat biomass and yield production with a good accuracy in the arid conditions of this study and its ability to simulate these variables for different wheat cultivars' was especially notable. 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subjects | Accuracy Agricultural production Agricultural research aquacrop model Arid climates Aridity Biomass Corn Crop yield Crops Cultivars Evaluation Evapotranspiration Food Growing season Growth models Irrigation Irrigation scheduling Moisture content Potassium Productivity Root-mean-square errors Seasons Simulation Soil fertility Soil water Testing laboratories Triticum aestivum Water balance Water management water productivity Water stress Wheat Winter wheat |
title | Evaluation of irrigation scheduling and yield response for wheat cultivars using the AquaCrop model in an arid climate |
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