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Effect of sample preparation on predicting chemical composition and fermentation parameters in Italian ryegrass silages by near infrared spectroscopy

机译:样品制剂对近红外光谱法预测意大利黑麦草中的化学成分和发酵参数的影响

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The objective of this study was to investigate effect of sample preparations on prediction ability of chemical composition and fermentation parameter for Italian ryegrass silages by NIRS.A population of 174 Italian ryegrass silages representing a wide range in chemical parameters were used in this investigation.Samples were scanned at 1nm intervals over the wavelength range 680-2500nm and the optical data recorded as log 1/Reflectance (log l/R) and scanned in oven-dried grinding and fresh ungrinding condition.The optimum calibrations were selected on the basis of minimizing the standard error of cross validation (SECV) and maximizing the correlation coefficient of cross validation (R2Cv).The results of this study show that NIRS predicted the chemical parameters with high degree of accuracy in oven-dried grinding treatment except for moisture contents.Prediction accuracy of the moisture contents was better for fresh ungrinding treatment (SECV 1.37%, R2 =0.96) than for oven-dried grinding treatments (SECV 4.31%, R2 =0.68).
机译:本研究的目的是调查样品制剂对化学成分的预测能力的影响,以及NIRS的意大利黑麦草的化学成分和发酵参数。在本研究中使用了174个意大利黑麦草的群体,其代表化学参数范围广泛.Samples是在波长范围内以1nm间隔扫描680-2500nm,并记录为log 1 /反射率(log l / r)并以烘箱干研磨和新鲜的未铣r条件扫描。基于最小化最小化选择最佳校准交叉验证的标准误差(SECV)和最大化交叉验证的相关系数(R2CV)。该研究的结果表明,NIRS在烘箱干研磨处理中具有高精度的化学参数,除了水分含量.priction精度对于新鲜的未铣削处理(SECV 1.37%,R2 = 0.96)而言,水分含量优于烘箱干燥的Grindin G治疗(SECV 4.31%,R2 = 0.68)。

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