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Near infrared monitoring of mineralisation of liquid dairy manure in agricultural soils

机译:农业土壤中液态乳肥料矿化的近红外监测

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Liquid dairy manure is a major organic input to cultivated soils. Therefore, a method for monitoring the mineralisation of slurries should be a useful tool for managing soil fertilisation. In order to examine whether the biodegradation of cattle sludge can be monitored by near infrared (NIR) spectroscopy, soil samples from a laboratory incubation experiment were analysed using this rapid and inexpensive method. Five different cattle slurries were added to three soils with increasing clay content in such an amount as to give 130 ppm of total nitrogen. The resulting 18 experimental treatments (three control soils and 15 soil-slurry combinations) were incubated for 180 days under optimal temperature and soil water content. Each treatment was sampled at 0, 2, 8, 12, 16, 21, 29, 41, 72,121 and 180 days: the respired CO{sub}2 was captured in alkali traps and mineral N was extracted using 1 M KCl. Three replicates of each sampling were analysed individually. The resulting 648 samples, air dried and ground at 0.5mm, were analysed by NIR spectroscopy using an Antaris (Thermo Nicolet] Fourier transfor m-NIR spectrometer. Although the slurries and soil mineralised carbon represent only a very small part of the total soil organic carbon, the mineralisation of carbon can be clearly monitored by NIR spectroscopy in both amended and unamended soils. Whereas NO{sub}3-N evolution was difficult to predict using NIR data, the results for NH{sub}4-N were more encouraging. Using measurements of CO{sub}2-C respired, a two-pool mineralisation model was developed and the simulated concentration of carbon pools in the soils were used for the development of NIR equations. The results obtained in this work have demonstrated that NIR is a useful tool for monitoring the carbon mineralisation process when cattle sludge is incorporated into agricultural soils.
机译:液态奶肥是耕种土壤的主要有机投入。因此,一种监测浆料矿化的方法应该是管理土壤肥力的有用工具。为了检查是否可以通过近红外(NIR)光谱法监测牛污泥的生物降解,使用这种快速且廉价的方法对来自实验室培养实验的土壤样品进行了分析。将五种不同的牛粪便添加到三种土壤中,粘土含量不断增加,其总氮含量为130 ppm。在最佳温度和土壤含水量下,将所得的18种实验处理(三种对照土壤和15种土壤-泥浆组合)孵育180天。在0、2、8、12、16、21、29、41、72,121和180天对每种处理进行采样:在碱阱中捕获呼吸的CO {sub} 2,并使用1 M KCl提取矿物N。每个样品的三个重复进行单独分析。使用Antaris(Thermo Nicolet)傅里叶变换m-NIR光谱仪对近648个样品进行风干和0.5mm研磨,通过NIR光谱仪进行了分析,尽管泥浆和土壤矿化碳仅占土壤有机总量的很小一部分碳,通过NIR光谱可以清楚地监测到改良土壤和未改良土壤中的碳矿化,尽管用NIR数据很难预测NO {sub} 3-N的演变,但NH {sub} 4-N的结果却令人鼓舞。通过测量呼吸的CO {sub} 2-C,建立了一个两池成矿模型,并将土壤中碳库的模拟浓度用于建立NIR方程,这项工作获得的结果表明NIR是将牛粪污泥掺入农业土壤时监测碳矿化过程的有用工具。

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