Mentink R L, Hoffman P C, Bauman L M
School of Veterinary Medicine, University of Wisconsin, Madison 53706, USA.
J Dairy Sci. 2006 Jun;89(6):2320-6. doi: 10.3168/jds.S0022-0302(06)72303-7.
Total mixed ration (TMR) samples (n = 110) were analyzed for dry matter (DM), crude protein (CP), soluble CP, neutral detergent fiber (NDF), NDF CP, starch, ash, fat, total ethanol-soluble carbohydrate, and nonfiber carbohydrate (NFC). Rapidly and slowly degraded and undegraded in situ CP fractions and in vitro DM, organic matter, and NDF digestibility were determined on each TMR. The TMR were scanned using near-infrared reflectance spectroscopy (NIRS); spectra were retained with NIRS calibration and cross-validation statistics were determined using partial least squares regression methods. The CP, NDF, starch, in vitro DM, and in vitro indigestible NDF contents of TMR were predicted by NIRS with good degrees (R2 >0.85) of accuracy with proportionally low standard errors of prediction. Moderate utility of NIRS to predict the NFC (R2 = 0.83) and fat content (R2 = 0.81) of TMR was observed. Rapidly, slowly, and undegraded in situ CP fractions in TMR were not well predicted by NIRS. Similarly, soluble CP, NDF CP, total ethanol-soluble carbohydrate, and in vitro NDF digestibility (% of NDF) were not well predicted by NIRS. Ratios of nutrient range to reference laboratory method error were calculated and found to be positively related (R2 = 0.84) to NIRS predictability of a given TMR nutrient, suggesting some laboratory procedures were not precise enough to yield suitable NIRS predictions. Data suggest that NIRS has utility to predict basic nutrients such as CP, NDF, starch, NFC, and fat in TMR. However, difficulty was observed using NIRS in predicting key biological nutrients in TMR such as in situ CP fractions and in vitro NDF digestibility. Difficulty of NIRS in predicting these nutrients is related to the level of reference method error in relationship to the range of nutrient values in TMR, but other sources of prediction error may exist.
对110份全混合日粮(TMR)样本进行了干物质(DM)、粗蛋白(CP)、可溶性CP、中性洗涤纤维(NDF)、NDF CP、淀粉、灰分、脂肪、总乙醇可溶性碳水化合物和非纤维碳水化合物(NFC)的分析。测定了每份TMR的快速和慢速降解及未降解的瘤胃原位CP组分以及体外DM、有机物和NDF消化率。使用近红外反射光谱法(NIRS)对TMR进行扫描;保留光谱并进行NIRS校准,使用偏最小二乘回归方法确定交叉验证统计量。通过NIRS预测TMR的CP、NDF、淀粉、体外DM和体外不可消化NDF含量,具有良好的准确度(R2>0.85),预测标准误差相对较低。观察到NIRS预测TMR的NFC(R2 = 0.83)和脂肪含量(R2 = 0.81)的效用中等。NIRS对TMR中快速、慢速和未降解的瘤胃原位CP组分预测效果不佳。同样,NIRS对可溶性CP、NDF CP、总乙醇可溶性碳水化合物和体外NDF消化率(占NDF的百分比)预测效果也不佳。计算了营养范围与参考实验室方法误差的比率,发现其与给定TMR营养素的NIRS可预测性呈正相关(R2 = 0.84),这表明一些实验室程序不够精确,无法得出合适的NIRS预测结果。数据表明,NIRS可用于预测TMR中的基本营养素,如CP、NDF、淀粉、NFC和脂肪。然而,在使用NIRS预测TMR中的关键生物营养素,如瘤胃原位CP组分和体外NDF消化率时遇到了困难。NIRS在预测这些营养素时的困难与参考方法误差水平与TMR中营养素值范围的关系有关,但可能还存在其他预测误差来源。