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Saltmed Model Performance for Quinoa Irrigated with Fresh and Saline Water in a Mediterranean Environment

机译:地中海环境中用淡盐水和咸水灌溉的藜麦的盐化模型性能

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摘要

The SALTMED model performance was evaluated by comparing the simulated and measured soil water content, biomass and grain yield data of quinoa grown in a Mediterranean climate under various irrigation regimes using fresh and saline water of different qualities. The data from a two-year field study (2010-2012) were used for this purpose. Six different treatments consisted of full irrigation with fresh and saline water with salinity levels of ECw 10, 20 and 30 dS m(-1), and deficit irrigation with fresh water applied at 50 and 75% of full irrigation and rainfed treatment were considered. Quinoa irrigated with saline water of 30 dS m(-1) resulted in significant grain yield reduction in 2010, but slightly reduced with water salinity level ranging from 10 to 30 dS m(-1) in comparison to fresh water in 2012. However, deficit irrigation with fresh water reduced plant dry matter yields considerably. The results of calibration and validation of the model showed that the SALTMED model can simulate soil water content, dry matter and grain yield of quinoa with high accuracy under various watering regimes using fresh and saline water of different qualities. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:通过比较在不同灌溉制度下使用不同质量的淡水和咸水在地中海气候下种植的藜麦的模拟水分含量和生物量和谷物产量数据,对SALTMED模型的性能进行了评估。为此,使用了为期两年的实地研究(2010-2012年)得出的数据。六种不同的处理方法包括用盐度为ECw 10、20和30 dS m(-1)的淡水和盐水进行充分灌溉,并考虑在完全灌溉和雨水处理的50%和75%时应用淡水进行亏水灌溉。与2012年的淡水相比,用30 dS m(-1)的盐水灌溉的藜麦在2010年导致谷物单产显着降低,但水盐度水平从10到30 dS m(-1)有所降低。淡水灌溉不足会大大降低植物干物质产量。模型的定标和验证结果表明,SALTMED模型可以在不同灌溉条件下使用不同质量的淡水和盐水,高精度地模拟藜麦的土壤水分,干物质和谷物产量。版权所有(c)2016 John Wiley&Sons,Ltd.

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