Tamburini E, Castaldelli G, Ferrari G, Marchetti M G, Pedrini P, Aschonitis V G
a Department of Life Sciences and Biotechnology , University of Ferrara , Ferrara , Italy.
Environ Technol. 2015;36(18):2285-94. doi: 10.1080/09593330.2015.1026287. Epub 2015 Apr 1.
The nitrogen and moisture of manure are highly variable parameters and depend on animal type, husbandry techniques, environmental conditions and storage time. The precision in manure dose estimation for crops fertilization depends on the total nitrogen and moisture content just before its incorporation in the field. The aim of the study is to develop a Fourier Transform Near Infrared (FT-NIR) spectroscopy method to determine the total Kjeldhal nitrogen (TKN%) and moisture (M%) of different types of poultry manure prior to land application. Samples covering a wide range of poultry types and different husbandry conditions were obtained from farms of North-Eastern Italy in order to develop the method. The method was calibrated (R(2) = 0.94 for TKN%, R(2) = 0.99 for M%) and validated (R(2) = 0.82 for TKN%, R(2) = 0.95 for M%) in the laboratory. An external validation was also performed in situ with independent samples, of similar origin to the previous data set, which were collected just before application in the field. Spectra acquisitions for these samples were carried out using the same instrumentation which was placed in a special vehicle for monitoring campaigns. The results showed satisfactory prediction accuracy (R(2) = 0.82 for TKN%, R(2) = 0.93 for M%). Finally, an additional analysis was performed to discriminate the different types of poultry effluents. The TKN and M measurements in the disposal areas indicated that current agronomic practices lead to more than double poultry manure oversupply. The proposed FT-NIR methodology aims to improve the current fertilization management and environmental protection by providing fast and precise estimations of poultry manure doses prior to land application.
粪便中的氮和水分是高度可变的参数,取决于动物类型、饲养技术、环境条件和储存时间。用于作物施肥的粪便剂量估算精度取决于其施用于田间之前的总氮和水分含量。本研究的目的是开发一种傅里叶变换近红外(FT-NIR)光谱法,用于在土地施用前测定不同类型家禽粪便的凯氏定氮法总氮(TKN%)和水分(M%)。为了开发该方法,从意大利东北部的农场获取了涵盖广泛家禽类型和不同饲养条件的样本。该方法在实验室中进行了校准(TKN%的R(2) = 0.94,M%的R(2) = 0.99)和验证(TKN%的R(2) = 0.82,M%的R(2) = 0.95)。还使用与先前数据集来源相似的独立样本在现场进行了外部验证,这些样本是在田间施用前采集的。这些样本的光谱采集使用放置在专用车辆上用于监测活动的相同仪器进行。结果显示预测精度令人满意(TKN%的R(2) = 0.82,M%的R(2) = 0.93)。最后,进行了额外的分析以区分不同类型的家禽粪便。处理区域中的TKN和M测量结果表明,当前的农艺实践导致家禽粪便供应过剩超过两倍。所提出的FT-NIR方法旨在通过在土地施用前快速精确地估算家禽粪便剂量来改善当前的施肥管理和环境保护。