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Modelling water requirements of greenhouse spinach for irrigation management purposes

机译:为灌溉管理目的模拟温室菠菜的需水量

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Estimating water requirements of plants cultivated in greenhouse environments is crucial, both for the design of greenhouse irrigation systems and the improvement of irrigation scheduling. Spinach is one of the main vegetables sold as 'ready-to-eat' bagged produce; it is very sensitive to water stress and thus requires accurate irrigation, In this work, a water balance model simulating the daily irrigation need for greenhouse crops based on the FAO-56 'single crop coefficient' method was designed and applied (FAO-56-GH). Two experiments were conducted on two spinach varieties grown in pots in different periods. For each experiment, four nitrogen treatments were considered, irrigation was managed weighing the pots every day, and restoring soil water to field capacity. Crop coefficient (K_c) values were calibrated using data of the first experiment the model was successively validated using the second dataset. Results showed a good model performance both in the validation and calibration periods (R~2 = 0.80 and 0.84, root mean square error (RMSE) = 0.41 and 0.21 mm day~(-1), Nash-Sutcliffe efficiency (NSE) = 0.78 and 0.83). Analysis of variance (ANOVA) test revealed a scarce dependence of irrigation needs to nitrogen treatments. This study suggests the possibility of adopting the FAO-56-GH model with site-specific K_c to improve irrigation management and planning in greenhouse environments.
机译:估算温室环境中种植的植物的需水量对于温室灌溉系统的设计和改善灌溉计划都至关重要。菠菜是作为“即食”袋装产品出售的主要蔬菜之一。它对水分压力非常敏感,因此需要精确灌溉。在这项工作中,设计并应用了基于FAO-56“单一作物系数”方法模拟温室作物日常灌溉需求的水平衡模型(FAO-56- GH)。对在不同时期在盆中生长的两种菠菜品种进行了两次实验。对于每个实验,均考虑了四个氮处理,每天对灌溉进行称重,然后将土壤水恢复至田间持水量。使用第一个实验的数据对作物系数(K_c)值进行校准,然后使用第二个数据集对模型进行连续验证。结果表明,在验证和校准期间均具有良好的模型性能(R〜2 = 0.80和0.84,均方根误差(RMSE)= 0.41和0.21 mm天〜(-1),纳什-舒特克里夫效率(NSE)= 0.78和0.83)。方差分析(ANOVA)测试表明,灌溉需求对氮素处理的依赖很少。这项研究表明有可能采用具有特定地点K_c的FAO-56-GH模型来改善温室环境中的灌溉管理和规划。

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