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首页> 外文期刊>Agricultural Water Management >Application of DSSAT-CERES-Wheat model to simulate winter wheat response to irrigation management in the Texas High Plains
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Application of DSSAT-CERES-Wheat model to simulate winter wheat response to irrigation management in the Texas High Plains

机译：DSSAT-CERES-Wheat模型在德克萨斯高平原模拟冬小麦对灌溉管理的响应中的应用

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Winter wheat (Triticum aestivum L.) is a major crop in the semi-arid Texas High Plains. Irrigated winter wheat production in this region mainly depends on water from the Ogallala Aquifer. However declining water levels in this aquifer is a major concern for producers and policy makers. A modeling study was conducted using the DSSAT-CERES-Wheat model for accurate prediction of winter wheat grain and biomass yields and water use efficiency (WUE) responses to irrigation management in the Texas High Plains. Model calibration was performed using field observations of winter wheat response to nine irrigation treatments ranging from dryland to full irrigation. Close match of simulated crop phenology, grain and biomass yields, and evapotranspiration (ET) with observed data indicated accurate prediction of these parameters by the model. Results of simulations using historical weather data for 32 years (1980-2012) showed that a single irrigation of 100 mm at jointing or booting had 35% higher grain yield than dryland while 140 mm at anthesis or grain filling produced 68% higher grain yield compared to dryland. Simulation of biomass yield showed significant advantage of irrigating 100 mm at jointing or booting stage compared to 140 mm at anthesis or grain filling. Irrigation of 100 mm at jointing and 140 mm at anthesis (240 mm in total) was found to produce similar grain and biomass yields as full irrigation (400 mm). Deficit irrigation at grain filling significantly increased WUE compared to full irrigation. Advantage of deficit irrigation was more pronounced at seasons with below average precipitation. These results show the importance of irrigation timing in winter wheat production under water-limited conditions in the Texas High Plains. (C) 2015 Elsevier B.V. All rights reserved.
机译：冬小麦（Triticum aestivum L.）是半干旱的德克萨斯州高平原地区的主要农作物。该地区灌溉的冬小麦产量主要依靠来自Ogallala含水层的水。然而，该含水层中水位的下降是生产者和决策者的主要关切。使用DSSAT-CERES-Wheat模型进行了建模研究，以准确预测冬小麦的籽粒和生物量产量以及水分利用效率（WUE）对德克萨斯高平原灌溉管理的响应。使用冬小麦对从旱地到全灌的九种灌溉处理的响应的野外观察进行模型校准。模拟的作物物候，谷物和生物量产量以及蒸散量（ET）与观测数据的紧密匹配表明该模型对这些参数的准确预测。使用32年（1980-2012）的历史天气数据进行的模拟结果表明，在拔节或孕穗期进行100毫米的单次灌溉比旱地高35％的谷物产量，而在花期或灌浆时140毫米的单季灌溉相比高出68％。到旱地。模拟的生物量产量表明，与拔节期或灌浆期的140 mm相比，拔节或孕穗期灌溉100 mm具有明显的优势。发现节理时灌溉100毫米，花期灌溉140毫米（总计240毫米），与完全灌溉（400毫米）产生相似的谷物和生物量产量。与完全灌溉相比，灌浆时的亏欠灌溉显着增加了WUE。在降水量低于平均水平的季节，亏缺灌溉的优势更为明显。这些结果表明，在得克萨斯州高平原地区，在缺水的条件下，灌溉时机对冬小麦生产至关重要。 （C）2015 Elsevier B.V.保留所有权利。

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