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Utilization of near infrared reflectance spectroscopy for the evaluation and characterization of barley in western Canada.

机译:利用近红外反射光谱法对加拿大西部大麦进行评估和鉴定。

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摘要

The first study evaluated near infrared reflectance spectroscopy (NIRS) for the determination of barley silage DM on as-is samples using either a commodity specific or broad based equation. A second study was conducted to evaluate a commercial NIRS prediction equation for barley grain, examining the nutrients of DM, CP and starch. Barley samples were selected as HIGH, MID or LOW for each nutrient group and the equation was tested using all samples or only the selected samples. Finally, a third study was conducted to evaluate NIRS as a selection tool for barley grain and the relationship between nutrient composition and digestion kinetics. The results of the first study indicated that NIRS accurately predicts the DM of as-is barley silage (R2 = 0.98, p < 0.05) using either a commodity specific or broad based equation. The second experiment indicates NIRS can accurately predict the DM and CP (R2 > 0.50, p < 0.05), however did not accurately predict starch content of barley grain (R2 ¡U 0.21, p < 0.05). The third experiment indicates that NIRS holds promise as a selection tool for barley grain quality and a relationship exists being nutrient content and digestion kinetics. There was a significant relationship between the DM content of the sample and the rate of fermentation with LOW DM samples having a faster rate of fermentation than the MID and HIGH (p < 0.05). Gas production of LOW DM samples was greater between 8 and 23 hours of incubation compared to the HIGH and MID (p < 0.05). The MID CP had greater gas production (mL/g of substrate DM, p ¡U 0.05) than the HIGH range, with LOW being intermediate. Correlations between the NIRS and lab determined chemical constituents and the gas production kinetics were examined. DM was negatively correlated (p ¡U 0.05) with k and lag when measured with NIRS or in a lab, and CP was significantly (p ¡U 0.05) negatively correlated with cumulative gas production (NIRS r = -0.31, lab r = -0.31), k (NIRS r = 0.48, lab r = 0.47), and lag (NIRS r = 0.30, lab r = 0.37).
机译:第一项研究评估了近红外反射光谱法(NIRS),用于使用商品特有或广泛基础方程确定原样上的大麦青贮DM。进行了第二项研究,以评估用于大麦籽粒的商业NIRS预测方程,检查DM,CP和淀粉的营养成分。对于每个营养组,选择大麦样品为高,中或低,并使用所有样品或仅使用选定的样品测试方程。最后,进行了第三项研究以评估NIRS作为大麦籽粒的选择工具以及营养成分与消化动力学之间的关系。第一项研究的结果表明,NIRS使用商品特有或广泛基础的方程式可以准确地预测大麦原状青贮饲料的DM(R2 = 0.98,p <0.05)。第二个实验表明,NIRS可以准确地预测DM和CP(R2> 0.50,p <0.05),而不能准确地预测大麦籽粒的淀粉含量(R2 U U 0.21,p <0.05)。第三个实验表明,近红外光谱技术有望成为大麦籽粒品质的选择工具,并且与养分含量和消化动力学有关。样品的DM含量与发酵速率之间存在显着关系,而LOW DM样品的发酵速率比MID和HIGH快(p <0.05)。相较于HIGH和MID,在孵育8到23小时之间,LOW DM样品的产气量更大(p <0.05)。 MID CP的气体产生量(底物DM的mL / g,p <0.05)比HIGH范围大,而LOW为中间。检查了NIRS与实验室确定的化学成分与产气动力学之间的相关性。当用NIRS或实验室测量时,DM与k和滞后量呈负相关(p≤0.05),而CP与累积气体产量呈显着负相关(p≤0.05)(NIRS r = -0.31,实验室r =- 0.31),k(NIRS r = 0.48,lab r = 0.47)和滞后(NIRS r = 0.30,lab r = 0.37)。

著录项

  • 作者

    O'Neill, Charlotte.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Animal sciences.;Agriculture.
  • 学位 M.S.
  • 年度 2013
  • 页码 88 p.
  • 总页数 88
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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