首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >Validation of the AquaCrop Model for Full and Deficit Irrigated Potato Production in Environmental Condition of Kor?a Zone, South-eastern Albania
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Validation of the AquaCrop Model for Full and Deficit Irrigated Potato Production in Environmental Condition of Kor?a Zone, South-eastern Albania

机译:阿尔巴尼亚东南部Kor?a区环境条件下全量和亏缺灌溉马铃薯生产的AquaCrop模型的验证

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Simulation models that quantify the effects of water on yield at the farm level are valuable tools in water and irrigation management. To address this need, FAO has developed a yield-response to water model, named AquaCrop model, which simulates attainable yields of the major field and vegetable crops cultivated worldwide. Although the model is simple, it gives particular attention to the fundamental processes involved in crop productivity and in the responses to water, from a physiological and agronomic background perspective. The objectives of this study were to evaluate the AquaCrop model for its ability to simulate potato performance under full and deficit water conditions in a semi-arid environment in southeaster Albania. The ease of use of the model, the low requirement of input parameters, and its sufficient degree of simulation accuracy make it a valuable tool for estimating crop productivity under rainfed conditions, supplementary and deficit irrigation, and on-farm water management strategies for improving the efficiency of water use in agriculture. A set of conservative parameters calibrated and validated for potato in a prior study and considered applicable to a wide range of conditions and not specific to a given potato cultivar, are used to further evaluate the performance of AquaCrop model for potato using data from environmental conditions of Korça zone. The verification test shows that the model slightly overestimates canopy cover, and biomass. WP values of 31,6 g m−2 was considered to evaluate the model performance. While linear function between observed tuber yields and estimated by AquaCrop had always a correlation coefficient greater than 0.85 (p 0.001). The AquaCrop model was able to accurately simulate soil water content of root zone, crop biomass and grain yield, with normalized root mean square error (RMSE) less than 10%..
机译:在农场一级量化水对产量影响的模拟模型是水和灌溉管理中的宝贵工具。为了满足这一需求,粮农组织开发了一种对水的产量响应模型,称为AquaCrop模型,该模型模拟了世界范围内种植的主要田地和蔬菜作物的可达到的产量。尽管该模型很简单,但从生理和农艺背景的角度来看,它特别关注了涉及作物生产力和对水的响应的基本过程。这项研究的目的是评估AquaCrop模型在东南部阿尔巴尼亚的半干旱环境中,在满水和缺水条件下模拟马铃薯性能的能力。该模型的易用性,输入参数的要求低以及其足够高的模拟精度使其成为估算雨养条件下的作物生产力,补充灌溉和亏缺灌溉以及改善水田间农田水管理策略的宝贵工具。农业用水效率。在先前的研究中对马铃薯进行了校准和验证的一组保守参数,被认为适用于各种条件,而不是特定于给定的马铃薯栽培种,它使用来自环境条件的数据进一步评估了AquaCrop马铃薯模型的性能。科尔萨区。验证测试表明,该模型略微高估了树冠覆盖和生物量。考虑到31.6 g m-2的WP值来评估模型性能。虽然观察到的块茎产量与AquaCrop估计的线性函数之间的相关系数始终大于0.85(p <0.001)。 AquaCrop模型能够准确模拟根区的土壤水分,作物生物量和谷物产量,归一化均方根误差(RMSE)小于10%。

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