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首页> 外文期刊>Agricultural Water Management >Evaluation of fertigation scheduling for sugarcane using a vadose zone flow and transport model.
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Evaluation of fertigation scheduling for sugarcane using a vadose zone flow and transport model.

机译：使用渗流区流和运输模型评估甘蔗施肥计划。

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Micro-irrigation has become an optimal means for providing water and nutrients to crops. There is an ample space for improving fertilizer use efficiency with micro-irrigation, if the movement and reactions of fertilizers in the soil are well understood. However, the rhizosphere dynamics of nutrients is very complex, depending on many factors such as soil temperature, pH, water content, and soil and plant characteristics. Many factors cannot be easily accurately quantified. However, using state-of-the-art modelling techniques, useful and reliable information can be derived. An attempt was made to evaluate the reactive transport of urea in the root zone of a sugarcane crop under drip irrigation, and to quantify the fluxes of urea, ammonium, and nitrate into the crop roots, volatilization fluxes, and deep drainage using a numerical model. This quantification helped in designing an optimal fertigation schedule. Various parameters used in the model were taken from either the literature or the field study. A typical scenario, based on the recommended total quantity of urea for sugar cane crop under drip irrigation in India, was tested using HYDRUS-2D. The total amount of urea was divided into fortnightly doses, depending on the stage of crop growth. For this scenario, the modelled crop uptake was found to be 30% higher than the crop demand. Consequently, an optimal fertigation schedule was developed that reduced the use of urea by 30% while at the same time providing enough N for its assimilation at all stages of crop growth. This type of modelling study should be used before planning field experiments for designing optimal fertigation schedules.
机译：微灌已成为向作物提供水和养分的最佳手段。如果对肥料在土壤中的运动和反应有充分的了解，那么就有足够的空间通过微灌溉提高肥料的使用效率。但是，养分的根际动力学非常复杂，取决于许多因素，例如土壤温度，pH，水含量以及土壤和植物的特性。许多因素无法轻松准确地量化。但是，使用最新的建模技术，可以得出有用且可靠的信息。尝试评估滴灌条件下尿素在甘蔗作物根区的反应性转运，并使用数值模型量化尿素，铵和硝酸盐进入作物根部的通量，挥发通量和深层排水。这种量化有助于设计最佳施肥时间表。模型中使用的各种参数均来自文献或现场研究。使用HYDRUS-2D测试了一种典型的情景，该情景基于印度滴灌条件下甘蔗作物的建议尿素总量推荐。尿素的总量根据作物的生长阶段分为每两周一次。在这种情况下，模型作物的吸收量比作物需求高30％。因此，制定了最佳施肥方案，将尿素的使用量减少了30％，同时为作物生长的所有阶段提供了充足的氮素用于吸收。在计划野外实验以设计最佳施肥计划之前，应使用这种类型的模型研究。

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