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Technical note: Use of near infrared reflectance spectroscopy to assess nitrogen and carbon fractions in dairy cow feces

机译:技术说明:使用近红外反射光谱法评估奶牛粪便中的氮和碳含量

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The feasibility of using near infrared spectroscopy (NIRS) for rapid prediction of nitrogen and carbon fractions of dairy cow feces was investigated. Fecal samples were collected from different farms characterized by differences in milk performances and feeding regimes. Dried fecal samples were first analyzed by chemical analysis for fractions of carbon and nitrogen in terms of ammonium-N (NH4-N), water soluble nitrogen (WSN), undigested dietary nitrogen (UDN), bacterial and endogenous debris nitrogen (BEDN), organic matter (OM), total C, neutral detergent fiber (NDFom), acid detergent fiber (ADFom), and lignin(sa). After chemical analysis, the samples were scanned by near infrared reflectance spectroscopy. The fecal spectrum and reference data of the chemical analysis were calibrated and cross validated using the partial least squares regression method. In addition, 24 fecal samples were collected for external validation. The derived coefficient of determination (R-2) for calibration and standard error of calibration (SEC) were measured for total N and for NH4-N, WSN, UDN, OM and also for total C as 0.97 and 0.07, 0.92 and 0.02, 0.91 and 0.13, 0.90 and 0.04, 0.95 and 0.51, and 0.97 and 0.29, respectively. The NDFom, ADFom and lignin(sa) showed high R-2 values with 0.97, 0.85, and 0.92. However, SEC values were measured as 1.09, 1.49, and 0.77. The co-efficiency of determination in the cross validation (SECV) attained 3.16, 2.16, and 1.24, respectively, which were on a higher level in comparison to the other fractions. The lowest R-2 was found for BEDN measured as 0.78, with lower SEC as 0.15 and SECV as 0.17. Ratio of SEC to SD concerning the nitrogen fractions ranged between 0.29 and 0.50 and between 0.15 and 0.45 regarding the carbon fractions. The coefficient of determination for external validation was similar to the result obtained from cross validation for all parameters. This study suggested that NIRS is a suitable method for the determination of carbon and nitrogen fractions in dairy cow feces. The inclusion of a higher number of samples is expected to further improve the calibration equations
机译:研究了使用近红外光谱(NIRS)快速预测奶牛粪便中氮和碳含量的可行性。从不同的农场收集粪便样品,其特点是牛奶性能和喂养方式不同。首先通过化学分析法分析干燥的粪便样品中的碳和氮含量,其中包括铵态氮(NH4-N),水溶性氮(WSN),未消化的膳食氮(UDN),细菌和内源性碎片氮(BEDN),有机物(OM),总碳,中性洗涤剂纤维(NDFom),酸性洗涤剂纤维(ADFom)和木质素(sa)。化学分析后,通过近红外反射光谱法扫描样品。使用偏最小二乘回归方法对粪便光谱和化学分析的参考数据进行校准和交叉验证。此外,收集了24个粪便样本用于外部验证。对于总氮,NH4-N,WSN,UDN,OM以及总C分别测量得出的校准系数和标准误差(SEC)(R-2)为0.97和0.07、0.92和0.02,分别为0.91和0.13、0.90和0.04、0.95和0.51、0.97和0.29。 NDFom,ADFom和木质素(sa)的R-2值较高,分别为0.97、0.85和0.92。但是,SEC值分别为1.09、1.49和0.77。交叉验证(SECV)中测定的协同效率分别达到了3.16、2.16和1.24,与其他分数相比处于较高水平。发现BEDN的最低R-2为0.78,较低的SEC为0.15,SECV为0.17。关于氮分数的SEC与SD之比在关于碳分数的0.29至0.50之间以及在0.15与0.45之间。外部验证的确定系数类似于从所有参数的交叉验证中获得的结果。这项研究表明,NIRS是测定奶牛粪便中碳和氮含量的合适方法。包含更多样品有望进一步改善校准方程式

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