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Research on Validity Examination of Simulated Results of Eggplant Water Requirements with Drip Irrigation under Mulch in Sunlight Greenhouse

机译:阳光温室覆盖下滴灌灌溉茄子需求模拟结果的有效性检查研究

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摘要

In order to explore the validity of the single and dual crop coefficient approaches in sunlight greenhouses, eggplant with drip irrigation was taken as the study object, and the crop water requirement was calculated via field experiments in a sunlight greenhouse. Results indicated that the results of the two model simulations are satisfactory. Model parameters of the single crop coefficient approach are perfect with a correlation index (R2) of 0.8374, a regression coefficient of 0.8281, an average mean absolute error of 0.2335 mm/day, an average standard error of 0.28 mm/day, a consistency index of relative unbiasedness of 0.9530, and a residual variance of 0.0785. For the dual crop coefficient approach, the model parameters had a correlation index (R2) of 0.8597, a regression coefficient of 0.8220, an average mean absolute error of 0.2196 mm/day, an average standard error of 0.27 mm/day, a consistency index of relative unbiasedness of 0.9543, and a residual variance of 0.0685. The results indicated that the dual crop coefficient model was better than the single crop coefficient model. Our research can provide some reference for the study of crop water requirements with drip irrigation under mulch in a sunlight greenhouse.
机译:为了探索的单和双作物系数的有效性日光温室接近,茄子滴灌带被作为研究对象,和作物需水量通过在太阳光下温室场实验计算。结果表明,在两个模型模拟的结果是令人满意的。单作物系数法的模型参数是完美的具有0.8374的相关性指数(R 2),的0.8281回归系数,0.2335毫米/天的平均平均绝对误差,0.28毫米/天的平均标准误差,一个一致性指标的0.9530相对无偏,和0.0785的残余方差。对于双作物系数法中,模型参数具有0.8597的相关性指数(R 2),的0.8220回归系数,0.2196毫米/天的平均平均绝对误差,0.27毫米/天的平均标准误差,一个一致性指标的0.9543相对无偏,和0.0685的残余方差。结果表明,双作物系数模型比单一作物系数模型更好。我们的研究可以提供对作物需水量滴灌带覆盖下的日光温室的研究提供一些参考。

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