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Potential of near-infrared reflectance spectroscopy (NIRS) to predict nutrient composition of Bromus tomentellus

机译:近红外反射光谱(NIRS)的潜力预测Bromus Tomentellus的营养成分

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Near-infrared reflectance spectroscopy (NIRS) was used to analyse the nitrogen (N), acid detergent fiber (ADF), dry matter digestibility (DMD) and metabolizable energy (ME) content of three phenological stages (vegetative, flowering and seeding) of Bromus tomentellus samples in grazing pastures of Iran. The sample set consisted of 40 samples for calibration and 23 samples for validation was used to predict N, ADF, DMD and ME, separately. The samples were measured by reflectance NIR in a 950-1650 nm range. Calibration models between chemical data and NIR spectra were produced using the method of partial least squares (PLS). The coefficients of determination (R2) and standard error of cross validation (SECV) were 0.94 (SECV: 0.208%), 0.98 (SECV: 1.76%), 0.98 (SECV: 1.97%), and 0.97 (SECV: 0.34) forN, ADF, DMD and ME, respectively. The results obtained from this study indicate that NIRS have a potential to be used to predict the N, ADF, and the estimated DMD and ME content of forage samples.
机译:近红外反射光谱(NIRS)用于分析氮气(N),酸性洗涤剂纤维(ADF),干物质消化率(DMD)和代谢能量(ME)含量(营养,开花和播种) Bromus tomentellus样本在伊朗放牧牧场。样本集由40个样本组成,用于校准,23个样本用于预测N,ADF,DMD和ME,分别。通过在950-1650nm范围内通过反射液测量样品。使用偏最小二乘法(PLS)的方法产生化学数据和NIR光谱之间的校准模型。结核系数(R2)和交叉验证的标准误差(SECV)为0.94(SECV:0.208%),0.98(SECV:1.76%),0.98(SECV:1.97%)和0.97(SECV:0.34)FORN, ADF,DMD和ME。本研究获得的结果表明,NIR具有用于预测N,ADF和估计的DMD和饲料样本含量的潜力。

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