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Irrigation scheduling to maximize crop gross margin under limited water availability

机译:灌溉调度限制水资源可用性下的作物毛利率

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摘要

MOPECO uses the optimized regulated deficit irrigation (ORDI) methodology to determine the irrigation schedule that maximizes the gross margin (GM) of annual crops when the availability of irrigation water is limited. To this end, it is necessary to determine the functions that relate GM to the gross irrigation water (I-G) supplied to the crop. Given that MOPECO is designed for implementation by farmers using online tools, the time required to obtain the "GM vs. I-G" function must be low. Thus, the objective was to develop and validate a methodology to generate the most accurate "GM vs. I-G" function with a low calculation time that takes into consideration the effect of irrigation uniformity on final yield. Five sub-models were developed and evaluated with barley, onion and maize for the semi-arid conditions of Castilla-La Mancha (Spain). The sub-models included one or more of the following variables: yield (Y); effective precipitation (Pef); soil moisture (S); and its distribution uniformity at plot level (CU). The sub-model "Y-Pef-S-CU" achieved the best fitting. The other submodels (Y, Y-Pef, Y-Pef-S, and Y-Pef-CU) provided solutions that were very close to the optimum, with low calculation time. Nevertheless, the best fit of each sub-model to the optimum function was achieved in different sections of this function. Therefore, the five sub-models are complementary, and it is advisable to use them simultaneously thanks to their low calculation time requirements (3.9 s). The validation with the three crops showed that in farms where irrigation uniformity and water price are low and harvest price is high, it is economically advisable to apply higher irrigation depths than the crop irrigation requirements. Nevertheless, as improving agricultural water productivity is key for sustaining the environment, tools like MOPECO may help to maximize GM and increase water use efficiency by means of deficit irrigation strategies.
机译:Mopeco使用优化的规范缺陷灌溉(armi)方法来确定当灌溉水的可用性有限时最大化年度作物的毛利率(GM)的灌溉计划。为此,有必要确定将GM与提供给作物提供的灌溉水(I-G)相关的功能。鉴于Mopeco专为使用在线工具而设计的农民,获取“GM与I-G”功能所需的时间必须低。因此,该目的是开发和验证一种方法,以产生最精确的“GM与I-G”功能,以考虑到最终产量的灌溉均匀性的影响。为Castilla-La Mancha(西班牙)的半干旱条件,用大麦,洋葱和玉米开发和评估了五种子模型。子模型包括以下一个或多个变量:产量(Y);有效降水(PEF);土壤水分;及其在绘图级(Cu)的分布均匀性。子模型“Y-PEF-S-CU”实现了最合适的。另一个子模型(Y,Y-PEF,Y-PEF-S和Y-PEF-CU)提供了非常接近最佳的溶液,计算时间较低。然而,在该功能的不同部分中实现了每个子模型到最佳功能的最佳拟合。因此,五个子模型是互补的,这是由于它们的低计算时间要求(3.9秒),建议同时使用它们。三种作物的验证表明,在灌溉均匀性和水价低,收获价格高的农场中,经济地建议应用更高的灌溉深度而不是作物灌溉要求。尽管如此,随着农业水生产率的提高是维持环境的关键,Mopeco等工具可能有助于通过赤字灌溉策略来最大限度地提高水利用效率。

著录项

  • 来源
    《Agricultural Water Management》 |2019年第2019期|共11页
  • 作者单位

    Univ Castilla La Mancha CREA Escuela Tecn Super Ingenieros Agron &

    Montes Campus Univ S-N Albacete 02071 Spain;

    Univ Castilla La Mancha CREA Escuela Tecn Super Ingenieros Agron &

    Montes Campus Univ S-N Albacete 02071 Spain;

    Univ Castilla La Mancha CREA Escuela Tecn Super Ingenieros Agron &

    Montes Campus Univ S-N Albacete 02071 Spain;

    Univ Castilla La Mancha CREA Escuela Tecn Super Ingenieros Agron &

    Montes Campus Univ S-N Albacete 02071 Spain;

    Univ Castilla La Mancha CREA Escuela Tecn Super Ingenieros Agron &

    Montes Campus Univ S-N Albacete 02071 Spain;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;
  • 关键词

    y MOPECO; ORDI; Water productivity; Irrigation uniformity;

    机译:y mopeco;ordi;水生产率;灌溉均匀性;

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