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Simulation of efficient irrigation management strategies for grain sorghum production over different climate variability classes

机译:不同气候变异类别晶体高粱生产有效灌溉管理策略的仿真

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摘要

The Texas High Plains (THP) is a productive agricultural region, and it relies heavily on the exhaustible Ogallala Aquifer for irrigation water for crop production. Efficient use of irrigation water is critical for the sustainability of agriculture in the THP. Grain sorghum is one of the major crops grown in the region, and it is known for its drought tolerance and lower water requirement compared to other cereal crops such as corn. In this study, the CERES-Sorghum and CROPGRO-Cotton modules of the Decision Support System for Agrotechnology Transfer (DSSAT) were evaluated using data from cotton-sorghum rotation experiments at Halfway, Texas over a period of nine years (2006-2014). The evaluated CERES-Sorghum model was then used to identify the optimum (i) initial soil moisture at planting (ISM); (ii) threshold to start irrigation (ITH); (iii) threshold to terminate irrigation; and iv) deficit/excess (DFI) irrigation strategy for grain sorghum production based on simulated sorghum yield, irrigation water use efficiency (IWUE), and grain water use efficiency (WUE). In addition, the effect of weather conditions on simulated strategies was elucidated by dividing the long-term (1977-2016) weather data into cold, warm, wet, dry, and normal climate variability classes based on the 33rd and 66th percentiles of growing season temperature and precipitation. The DSSAT model adequately simulated the grain sorghum and seed cotton yields during calibration (average Percent Error (PE) of 1.3% (sorghum) and 3.4% (cotton)) and evaluation (average PE of -2.2% (sorghum) and -10.5% (cotton)). The results from long-term simulations indicated that weather conditions played a key role in selecting appropriate irrigation management strategies. Under normal/cold/wet weather, ISM of 75% available water holding capacity (AWC), ITH of 50%, and DFI 85% were found to be adequate for irrigated grain sorghum production. However, in warm/dry weather, ISM of 75%, ITH 60%, and DFI at 100% reduced sorghum yield loss.
机译:德克萨斯州高平原(THP)是一种生产性农业区,它严重依赖于灌溉水的令人无法令人满意的ogallala含水层,用于作物生产。有效使用灌溉水对于THP中农业可持续性至关重要。谷物高粱是该地区种植的主要作物之一,与其玉米等谷物作物(如玉米)相比,其抗旱耐受性和较低的水需求。在这项研究中,使用来自九年(2006 - 2014年)的棉花 - 高粱旋转实验的数据评估了农业技术转移(DSSAT)决策支持系统的Ceres-rolghum和Cropro-棉模块。然后使用评估的Ceres-rolghum模型来鉴定种植(ISM)的最佳(I)初始土壤水分; (ii)开始灌溉的阈值(ith); (iii)终止灌溉的门槛;基于模拟高粱产量,灌溉用水效率(IWUE)和粮食用水效率(WUE),缺陷/过量(DFI)灌溉策略,灌溉用水效率(IWUE)和谷物用水效率(WUE)。此外,通过将长期(1977-2016)天气数据除以基于33和第66百分点的生长季节,将长期(1977-2016)天气数据除以长期(1977-2016)天气数据,阐明了天气条件对模拟策略的影响温度和沉淀。 DSSAT模型在校准期间充分模拟晶粒高粱和种子棉产量(平均误差(PE)为1.3%(高粱)和3.4%(棉))和评价(平均PE为-2.2%(高粱)和-10.5% (棉布))。长期模拟的结果表明天气条件在选择适当的灌溉管理策略方面发挥了关键作用。在正常/冷/潮天气下,ISM为75%可用水持有能力(AWC),50%,DFI 85%的可用水持有能力(AWC)为灌溉谷物高粱生产足以充分。然而,在温暖/干燥的天气下,ISM为75%,ITH 60%,DFI在100%降低的高粱产量损失下降。

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