首页> 外文期刊>Journal of dairy science >Utility of near-infrared reflectance spectroscopy to predict nutrient composition and in vitro digestibility of total mixed rations.
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Utility of near-infrared reflectance spectroscopy to predict nutrient composition and in vitro digestibility of total mixed rations.

机译:利用近红外反射光谱预测总混合日粮的营养成分和体外消化率。

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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..
机译:分析了总混合日粮(TMR)样品(n = 110)的干物质(DM),粗蛋白(CP),可溶性CP,中性洗涤剂纤维(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)。在每个TMR上确定快速降解和未降解的原位CP馏分以及体外DM,有机物和NDF消化率。使用近红外反射光谱(NIRS)扫描TMR;光谱通过NIRS校准保留,并使用偏最小二乘回归方法确定交叉验证统计数据。 NIRS预测了TMR的CP,NDF,淀粉,体外DM和体外难消化的NDF含量,其准确度高(R2> 0.85),且预测的标准误成比例较低。 NIRS适度用于预测TMR的NFC(R2 = 0.83)和脂肪含量(R2 = 0.81)。 NIRS不能很好地预测TMR中快速,缓慢和未降解的原位CP分数。同样,NIRS不能很好地预测可溶性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)。计算了营养物范围与参考实验室方法误差的比率,发现与给定TMR营养物的NIRS可预测性呈正相关(R2 = 0.84),这表明某些实验室程序不够精确,无法得出合适的NIRS预测。数据表明,NIRS可用于预测TMR中的基本营养素,例如CP,NDF,淀粉,NFC和脂肪。但是,使用NIRS很难预测TMR中的关键生物营养素,例如原位CP馏分和体外NDF消化率。 NIRS难以预测这些营养素与参考方法误差的水平有关,而该误差与TMR中营养素值的范围有关,但可能存在其他预测误差来源。

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