Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey
Farming winter wheat in Central Anatolia of Turkey traditionally is rainfed. Crop yields are frequently affected in this region because of the drought events of varying severity. There is apparent necessary for an aim appraisal of the effect of dryness on this critical crop, to answer the contradict...
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Ankara University
2018-06-01
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| Series: | Journal of Agricultural Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/510919 |
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| author | Sema Kale Sevinç Madenoğlu |
| author_facet | Sema Kale Sevinç Madenoğlu |
| author_sort | Sema Kale |
| collection | DOAJ |
| description | Farming winter wheat in Central Anatolia of Turkey traditionally is rainfed. Crop yields are frequently affected in this region because of the drought events of varying severity. There is apparent necessary for an aim appraisal of the effect of dryness on this critical crop, to answer the contradiction whether irrigation is essential or not. For this reason the FAOAquaCrop (Ver.5.0) crop water productivity model was preferred to predict attainable yields of winter wheat (Triticum durum L.) under four different irrigation regimes. Field experiment was conducted under four different irrigation treatments in Central Anatolia Region of Turkey during 2008-2010. The AquaCrop was calibrated with 2008-2009 field data and model validation was performed using 2009-2010 data. Model simulation results showed that model simulates soil water content in root zone (SWC), canopy cover (CC), grain yield (GY) and aboveground biomass (BM) of wheat reasonably well. The average root mean square error (RMSE) between simulated and observed SWC, CC, GY and BM were 21.1 mm, 7.1%, 0.32 t ha-1 and 0.34 t ha-1. Nash-Sutcliffe efficiency (EF) and index of Willmott (d) also were obtained 0.89 and 0.98 for CC, 0.74 and 0.93 for SWC, 0.98 and 0.92 for BM, 0.95 and 0.82 for GY. Model predicted canopy cover, grain yields and biomass with high accuracy while soil water content at 90 cm soil depth was estimated in the moderate accuracy. The results presented that AquaCrop model can be suggested as a convenient model for decisionmaking whether irrigating wheat is in the priority or not at the limited water resources areas. A |
| format | Article |
| id | doaj-art-b750bf5655bd4a5fbb9fb71964fe54ce |
| institution | DOAJ |
| issn | 1300-7580 2148-9297 |
| language | English |
| publishDate | 2018-06-01 |
| publisher | Ankara University |
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| series | Journal of Agricultural Sciences |
| spelling | doaj-art-b750bf5655bd4a5fbb9fb71964fe54ce2025-08-20T03:05:15ZengAnkara UniversityJournal of Agricultural Sciences1300-75802148-92972018-06-0124220521710.15832/ankutbd.44643845Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in TurkeySema Kale0Sevinç Madenoğlu1Suleyman Demirel University, Faculty of Agriculture, Department of Agricultural Structure and Irrigation, Isparta, TURKEYSoil, Fertilizer and Water Resources Central Research Institute, 06171, Ankara, TURKEYFarming winter wheat in Central Anatolia of Turkey traditionally is rainfed. Crop yields are frequently affected in this region because of the drought events of varying severity. There is apparent necessary for an aim appraisal of the effect of dryness on this critical crop, to answer the contradiction whether irrigation is essential or not. For this reason the FAOAquaCrop (Ver.5.0) crop water productivity model was preferred to predict attainable yields of winter wheat (Triticum durum L.) under four different irrigation regimes. Field experiment was conducted under four different irrigation treatments in Central Anatolia Region of Turkey during 2008-2010. The AquaCrop was calibrated with 2008-2009 field data and model validation was performed using 2009-2010 data. Model simulation results showed that model simulates soil water content in root zone (SWC), canopy cover (CC), grain yield (GY) and aboveground biomass (BM) of wheat reasonably well. The average root mean square error (RMSE) between simulated and observed SWC, CC, GY and BM were 21.1 mm, 7.1%, 0.32 t ha-1 and 0.34 t ha-1. Nash-Sutcliffe efficiency (EF) and index of Willmott (d) also were obtained 0.89 and 0.98 for CC, 0.74 and 0.93 for SWC, 0.98 and 0.92 for BM, 0.95 and 0.82 for GY. Model predicted canopy cover, grain yields and biomass with high accuracy while soil water content at 90 cm soil depth was estimated in the moderate accuracy. The results presented that AquaCrop model can be suggested as a convenient model for decisionmaking whether irrigating wheat is in the priority or not at the limited water resources areas. Ahttps://dergipark.org.tr/tr/download/article-file/510919quacrop; grain yield; irrigation; canopy cover |
| spellingShingle | Sema Kale Sevinç Madenoğlu Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey Journal of Agricultural Sciences quacrop; grain yield; irrigation; canopy cover |
| title | Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey |
| title_full | Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey |
| title_fullStr | Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey |
| title_full_unstemmed | Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey |
| title_short | Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey |
| title_sort | evaluating aquacrop model for winter wheat under various irrigation conditions in turkey |
| topic | quacrop; grain yield; irrigation; canopy cover |
| url | https://dergipark.org.tr/tr/download/article-file/510919 |
| work_keys_str_mv | AT semakale evaluatingaquacropmodelforwinterwheatundervariousirrigationconditionsinturkey AT sevincmadenoglu evaluatingaquacropmodelforwinterwheatundervariousirrigationconditionsinturkey |