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Irrigation scheduling based on CERES-Wheat model for spring wheat production in the Minqin Oasis in Northwest China.

机译:基于CERES-Wheat模型的灌溉计划在西北民勤绿洲的春小麦生产中。

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摘要

The Minqin County in Northwest China is known for its serious desertification and irrigation-dependent oasis farming that is mainly distributed along the Shiyang River. To answer some important hypothetical questions related to optimal irrigation scheduling for spring wheat (Triticum aestivum L.) production in the Minqin Oasis, the CERES-Wheat model in DSSAT V4.5 was used to simulate the spring wheat growth in irrigated farmland in this area. The results of model simulation indicate that if the soil water content is lower than 65% of field capacity (or about 190 mm water) in the 1-m depth soil profile during the grain filling and milk ripe stages, the final grain yield can be remarkably reduced (e.g. more than 1000 kg ha-1 for some treatments in field experiment) even for a short period of water stress. The water stress in the early stages could be eliminated with luxurious water supply, but more nitrogen would be washed away from the soil profile and then the yield was impacted. The optimized irrigation dates played an important role in improving the water use efficiency of spring wheat. If there was only a single irrigation allowed by the limited water resources, the irrigation date should be at the end of booting or beginning of heading stage. If the second irrigation could be adjusted to the middle of heading stage, the 3-irrigation schedule (a total of three irrigations in the whole growth season, and so forth) could meet the water demand of spring wheat without losing too much yield (e.g. less than 20 kg ha-1 when compared with the 4-irrigation treatment). Furthermore, if the first irrigation of the 4-irrigation schedule could be delayed to the starting of jointing, the simulated yield could be increased from about 6500 kg ha-1 to the highest 7000 kg ha-1. Finally, the analysis of uncertainties of simulated dry yields across 58 years historical weather data showed that the schedules with fewer irrigation events cause larger uncertainties due to local weather variations. The 4-irrigation schedule seemed to be the best choice for spring wheat at the Minqin Oasis due to its relatively higher long-term average yields and lower uncertainties since it was under non-limited water conditions.
机译:中国西北地区的民勤县以其严重的荒漠化和依赖灌溉的绿洲农业而著称,主要分布在石羊河沿岸。为了回答与民勤绿洲中春小麦(Triticum aestivum L.)生产的最佳灌溉安排有关的一些重要假设假设问题,使用DSSAT V4.5中的CERES-Wheat模型模拟了该地区灌溉农田的春小麦生长。模型模拟的结果表明,如果在灌浆和乳熟阶段,土壤深度在1 m深度土壤剖面中的水分含量低于田间持水量的65%(或约190 mm水),最终谷物产量将为即使在短时期的水分胁迫下也显着降低(例如,在田间试验中某些处理超过1000 kg ha -1 )。可以通过提供豪华的供水来消除早期的水分胁迫,但是会从土壤剖面上冲走更多的氮,进而影响产量。优化的灌溉日期对提高春小麦的水分利用效率起着重要作用。如果只有有限的水资源允许一次灌溉,则灌溉日期应在启动结束或抽穗期开始时。如果可以将第二次灌溉调整到抽穗期的中间,则三次灌溉计划(整个生长季节总共进行三次灌溉,依此类推)可以满足春小麦的需水量而不会损失太多产量(例如,与4次灌水处理相比,小于20 kg ha -1 。此外,如果将4次灌溉时间表中的第一次灌溉推迟到拔节开始,则模拟产量可以从大约6500 kg ha -1 增加到最高7000 kg ha -1 。最后,对58年历史天气数据中模拟干旱单产的不确定性分析表明,灌溉事件较少的时间表因当地天气变化而导致较大的不确定性。民勤绿洲的4次灌溉时间表似乎是春小麦的最佳选择,因为它处于不受限制的水条件下,因此其长期平均单产相对较高,不确定性较低。

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