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Fecal-FT-NIRS as a Noninvasive Tool for Assessing Diet Quality of Mediterranean Deer

机译:Fecal-FT-NIRS作为评估地中海鹿饮食质量的无创工具

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In order to assess the diet quality of two Mediterranean deer species we developed and validated a Fourier transform near-infrared diffuse reflectance spectroscopy methodology on feces (Fecal-FT-NIRS) for the determination of acid detergent fiber (ADF), neutral detergent fiber (NDF), lignin, C:N ratio, and enzymatic digestibility of organic matter (EDOM). We used rumen contents and fecal samples from 149 red deer (Cervus elaphus hispanicus) and 111 fallow deer (Dama dama) from southeast Spain(n = 520 observations). Spectra from the feces were related with rumen conventional chemical analysis through chemometric regression with partial least-squares (PLS). Specific predictive equations from red and fallow deer data separately were generated, as well as merged equations after pooling all deer samples. All the predictive equations had a high linearity with high correlation coefficients (r = 0.8 - 0.99). The selected equations had a reliable accuracy considering the root-mean-square errors of prediction (RMSEP), calibration (RMSEC), and cross-validation (RMSECV) in relation to the range of values for which the NIRS calibration was set for each parameter. Broad-based equations from combined samples were demonstrated as being useful for all nutritional parameters determination in red and fallow deer simultaneously. Equations obtained for the red deer data were also successfully applied to fallow deer and vice versa for NDF, ADF, C: N, and lignin determination, while for EDOM assessment the specific equations for each species were more accurately applied. Once validated, the Fecal-FT-NIRS technique can be considered as a suitable noninvasive tool for monitoring deer diet quality variations in Mediterranean environment. This method has the possibility to overcome interspecific barriers of direct fecal analysis by using rumen digesta as its reference method. (C) 2015 Society for Range Management. Published by Elsevier Inc. All rights reserved.
机译:为了评估两种地中海鹿物种的饮食质量,我们开发并验证了粪便(Fecal-FT-NIRS)的傅立叶变换近红外漫反射光谱法,用于测定酸性洗涤剂纤维(ADF),中性洗涤剂纤维( NDF),木质素,C:N比和有机物的酶消化率(EDOM)。我们使用了来自西班牙东南部的149头红鹿(Cervus elaphus hispanicus)和111头小鹿(Dama dama)的瘤胃含量和粪便样本(n = 520个观察值)。粪便中的光谱与瘤胃常规化学分析有关,通过偏最小二乘(PLS)进行化学计量回归。分别从红鹿和小鹿数据生成特定的预测方程式,以及合并所有鹿样本后的合并方程式。所有的预测方程都具有高线性和高相关系数(r = 0.8-0.99)。考虑到针对每个参数设置了NIRS校准的值的范围,考虑到预测的均方根误差(RMSEP),校准(R​​MSEC)和交叉验证(RMSECV),所选方程式具有可靠的准确性。结合样品的基础广泛的方程式被证明对于同时确定马鹿和小鹿的所有营养参数很有用。对于NDF,ADF,C:N和木质素测定,从马鹿数据获得的方程式也成功地应用于小鹿,反之亦然,而对于EDOM评估,则可以更准确地应用每种物种的特定方程式。一旦通过验证,Fecal-FT-NIRS技术可以被视为监测地中海环境中鹿饮食质量变化的合适无创工具。通过使用瘤胃消化作为参考方法,该方法有可能克服直接粪便分析的种间障碍。 (C)2015年范围管理学会。由Elsevier Inc.出版。保留所有权利。

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