手持式近红外干物质测定仪的评价

Pub Date : 2023-06-22 DOI:10.1002/cft2.20239
J. H. Cherney, D. J. R. Cherney, M. F. Digman
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引用次数: 0

摘要

准确的饲料干物质(DM)浓度估计对于最大限度地提高动物性能和最小化饲料成本至关重要。估计每日口粮再平衡DM的一种可能方法是使用手持近红外反射光谱仪。SCiO杯是可用于估计饲料DM的手持式仪器之一,但尚未对其有效性进行彻底评估。在三年的时间里,从纽约州各地的143个料仓中收集了干草样本(n=600),并用SCiO Cup真空包装以进行最终分析。样本范围从纯苜蓿(Medicago L.)到纯草,但大多来自混合物种。除一个样本外,所有样本都收到了根据设备中预加载的几个可用校准估计的DM值。60个样本(占样本总数的10%)太湿或太干,无法使用混合青贮饲料校准产生结果。对于其余90%的样品,SCiO Cup DM估计值在3.22%的烘箱DM单位内,80%的时间。使用混合青贮饲料校准对样品进行多次扫描评估的仪器精度非常好,三个值的平均标准偏差为0.40(n=200)。混合青贮饲料校准在预测这组干草的DM方面比豆类或草青贮饲料校准更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of a handheld NIRS instrument for determining haylage dry matter

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Evaluation of a handheld NIRS instrument for determining haylage dry matter

Accurate forage dry matter (DM) concentration estimation is essential for maximizing animal performance and minimizing feed costs. One possible method of estimating DM for rebalancing rations daily involves the use of hand-held near infrared reflectance spectrometer instruments. The SCiO Cup is one of the hand-held instruments that could be used to estimate forage DM, but a thorough evaluation of its effectiveness has not been conducted. Haylage samples (n = 600) from 143 bunker silos were collected across New York State over three years, and vacuum packed for eventual analysis using a SCiO Cup. Samples ranged from pure alfalfa (Medicago L.) to pure grass but were mostly from mixed species. All but one sample received a DM value estimated from several available calibrations pre-loaded in the device. Sixty samples (representing 10% of the sample population) were too wet or dry to generate a result using the mixed silage calibration. For the remaining 90% of samples, SCiO Cup DM estimates were within 3.22%units of oven DM 80% of the time. Precision of the instrument evaluated with multiple scanning of samples using the mixed silage calibration was very good, with the average standard deviation of three values of 0.40 (n = 200). The mixed silage calibration was more effective for predicting DM of this set of haylages than either legume or grass silage calibrations.

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