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The effect of rye green manure application with nitrogen fertilizer on soil water storage, soil aggregate stability and soil water infiltration rate in Maragheh dryland condition

机译:黑麦绿色粪肥应用对氮肥对土壤蓄水,土壤综合稳定性及土壤水渗透率的影响

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With the aim of green manure application improving soil physical characteristics important to soil water retention in dry land condition, this study was carried out with or without rye green manure along with 4 nitrogen fertilization treatments (0, 26, 103 and 337 (kg N/ha) in 3 rotation system (green manure-wheat) between 2001 - 2007 years. Results showed that the green manure application effects were significant for soil aggregate stability. Results showed that the green manure application effectswere significant on the soil bulk density and soil moisture indexes such as FC and PWP. N-fertilizer application with green manure in order to decrease C/N ratio for best activation of soil microorganisms accelerated these effects. High AWC occurred forC/N=20 treatment. Our data showed that there are regression relationships with highly correlation coefficients between the levels of N-application with green manure and soil moisture indexes. Our results also showed that green manure application had a significant effect on soil water infiltration rate for dry land condition. Higher and lower infiltration rates occurred for C/N=36 and C/N=20 treatments respectively at 30 min. A soil water infiltration prediction Kostiakov model was determined as a best model for its higher R square (R~2 = 0.90) and lower standard error (SE=0.30). The model predicted about 90 % of variation in soil water infiltration rate for all of the treatments in this study.
机译:与绿肥应用提高在旱地条件土壤持水重要的土壤的物理特性的目的,该研究进行了用或不用4个氮施肥处理(0,26,103和337(公斤氮沿着黑麦绿肥/公顷)3转动系统(绿肥,小麦)2001年之间 - 2007年效果评价表明,施用绿肥效应对土壤团聚体稳定性显著结果表明,施用绿肥effectswere土壤容重和土壤水分显著。指标如FC和PWP。氮肥应用,以便绿肥降低C / N比为土壤中的微生物的最佳激活加速这些效果。高AWC发生FORC / N = 20治疗。我们的数据表明,有回归关系与绿肥和土壤湿度指数施氮水平之间的高度相关系数,我们的研究结果还表明,绿肥applicati在对土壤水分入渗率旱地条件显著的效果。较高和较低的渗透速度分别发生了C / N = 36和C / N = 20种治疗在30分钟。甲土壤水分入渗预测畦灌模型被确定为用于其较高的R平方(R 2 = 0.90)和较低的标准误差(SE = 0.30)一个最好的模式。该模型预测约90%的土壤水分入渗率的变化对所有的在这项研究中的治疗方法。

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