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首页> 外文期刊>Tarim Bilimleri Dergisi: Journal of Agricultural Sciences >Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey
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Evaluating AquaCrop Model for Winter Wheat under Various Irrigation Conditions in Turkey

机译:土耳其不同灌溉条件下冬小麦的AquaCrop模型评估

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摘要

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 FAO- AquaCrop (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 decision- making whether irrigating wheat is in the priority or not at the limited water resources areas.
机译:传统上在土耳其中部安纳托利亚种植冬小麦是雨养的。由于严重程度不同的干旱事件,该地区的农作物产量经常受到影响。显然有必要对干旱对这种关键作物的影响进行客观评估,以回答是否需要灌溉的矛盾。因此,首选采用FAO-AquaCrop(Ver.5.0)作物水分生产率模型来预测四种不同灌溉制度下冬小麦(Triticum durum L.)可获得的产量。在2008年至2010年期间,在土耳其中部安纳托利亚地区进行了四种不同灌溉处理的田间试验。 AquaCrop已使用2008-2009年现场数据进行了校准,并使用2009-2010年数据进行了模型验证。模型仿真结果表明,该模型较好地模拟了小麦根区(SWC),冠层(CC),谷物产量(GY)和地上生物量(BM)的土壤水分。模拟和观察到的SWC,CC,GY和BM之间的平均均方根误差(RMSE)为21.1 mm,7.1%,0.32 t ha-1和0.34 t ha-1。 Nash-Sutcliffe效率(EF)和Willmott指数(d)也分别获得CC的0.89和0.98,SWC的0.74和0.93,BM的0.98和0.92,GY的0.95和0.82。该模型以较高的准确度预测模型的冠层覆盖率,谷物产量和生物量,而以中等准确度估算90 cm土深处的土壤水分。结果表明,可以将AquaCrop模型作为一种方便的决策模型,以在有限的水资源区域中是否优先考虑灌溉小麦。

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