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Predicting Total Digestible Nutrient Losses From Heat Damaged Hays and Haylages with NIR

机译:利用NIR预测热损伤干草和Haylages的总可消化营养素损失

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During the storage of hay or haylage, heating damage may occur and lead to losses of available protein and digestible nutrients. Recent research indicates that losses of total digestible nutrients (TDN) may be more significant economically than lossesof available protein. Our objectives for this study were to establish a near-infrared reflectance spectroscopy (NIRS) model to estimate losses of TDN caused by heating damage during storage, to test the model on farmer samples obtained from commercial forage testing laboratories, and then to determine the frequency with which significant losses of TDN occurred within these producer samples. Hay/haylage samples from wrapped bales harvested with moisture ranges of 9.3 to 17.3%, 16.8 to 24.2%, and 26.7 to46.6% for three different harvests in a previous study in which internal bale temperatures were measured daily were utilized to develop a NIRS calibration. The model external validation coefficient of determination (R~2) was 0.88. The calibration was tested on three unknown sets of samples from commercial forage testing laboratories. The three sets contained spectra of 1000, 618, and 1994 forage samples submitted by producers. A very small number of samples in Sets 1, 2, and 3 exhibited H values > 3 (21, 11, and 66 samples, respectively), which indicates that the developed equation was appropriate for use on the commercial samples. The predicted TDN losses from producer samples due to heating exceeded 4 TDN units in 50% of the samples, and exceeded 8TDN units in 16% of the samples. Heat damage is a significant economic loss to many farmers.
机译:在存放干草或干草的过程中,可能会发生加热损坏,并导致可用蛋白质和易消化营养物质的流失。最新研究表明,总可消化营养素(TDN)的损失在经济上可能比可用蛋白质的损失更为严重。这项研究的目的是建立一个近红外反射光谱(NIRS)模型,以估算在存储过程中由热损伤引起的TDN损失,在从商业饲草测试实验室获得的农民样品上测试该模型,然后确定频率这些生产者样本中TDN发生了重大损失。在以前的研究中,从每天测量内部草捆温度的三个研究中,从包裹湿度为9.3%至17.3%,16.8%至24.2%和26.7%至46.6%的捆包中收集干草/干草样本,以开发NIRS校准。模型的外部验证确定系数(R〜2)为0.88。在来自商业饲草测试实验室的三套未知样品上测试了校准。这三套包含生产者提交的1000、618和1994饲草样品的光谱。第1、2和3组中的极少数样本显示出H值> 3(分别为21、11和66个样本),这表明所开发的方程式适用于商业样本。由于加热,生产商样品的预计TDN损失在50%的样品中超过了4个TDN单位,在16%的样品中超过了8TDN单位。对许多农民来说,热损害是巨大的经济损失。

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