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首页> 外文期刊>African Journal of Agricultural Research >Evaluation and modification of model for the prediction of wheat yield at Iran region
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Evaluation and modification of model for the prediction of wheat yield at Iran region

机译:伊朗地区小麦单产预测模型的评估和修改

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摘要

In this study, the mentioned model was evaluated and modified for simulation of winter wheat (Sabalan cul.) under irrigated and rainfed conditions in Maragheh area (Eastern Azarbayejan province) of Iran for three consecutive crop years (1999 - 2000 to 2001 -2002). The simulated and measured grain yields were compared. Results show that the model was simulated satisfactory for the grain yield under irrigated condition, but the model was not able to simulate the grain yield under rainfed condition. The simulated grain yield was less than observed values under rainfed condition and it sounded that soil water content in this condition was simulated lower. Therefore, the coefficient of soil readily available water was changed from 0.65 to 0.90 for rainfed grain yield simulation. The model was able to predict more available water for plant transpiration using this scheme. The modified model properly simulated the grain yield under rainfed condition. Furthermore, it was found that this model was not able to simulate the grain yield for crop year (2001 - 2002) with high rainfall during the growing season in spring and summer due to plant disease infection. The amount of this rainfall was more than 140 mm and the model was modified for this parameter. Therefore, the modified model for excess rain was able to simulate the grain yield of Sabalan winter wheat under irrigated and rainfed conditions in the Maragheh area even for years with high rainfall during the growing season in spring and summer. Finally, the modified model was validated by data obtained for Alamoot cultivar and the results indicated that there was no significant differences at 5% level between measured and predicted grain yield.
机译:在这项研究中,对上述模型进行了评估和修改,以连续三个作物年度(1999-2000年至2001-2002年)在伊朗马拉格地区(东部阿扎尔巴耶扬省)的灌溉和雨水条件下模拟冬小麦(Sabalan cul。)。 。比较了模拟和测量的谷物产量。结果表明,该模型在灌溉条件下的谷物产量模拟效果令人满意,但在雨养条件下不能模拟谷物产量。在雨育条件下,模拟的谷物单产低于观测值,听起来在该条件下模拟的土壤含水量较低。因此,用于雨育谷物产量模拟的土壤速效水的系数从0.65变为0.90。使用该方案,该模型能够预测更多可用于植物蒸腾的水。改进的模型可以正确模拟雨养条件下的谷物产量。此外,还发现该模型无法模拟由于植物病害而在春季和夏季的生长季节降雨旺盛的作物年度(2001-2002)的谷物产量。降雨量超过140毫米,并为此参数修改了模型。因此,即使在春季和夏季的生长季节降雨多年,经过修正的过量降雨模型也能够模拟马拉巴赫地区在灌溉和雨水条件下的萨巴兰冬小麦的籽粒产量。最后,通过对Alamoot品种获得的数据验证了改进的模型,结果表明实测和预测的单产在5%水平上没有显着差异。

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