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The use of near infrared reflectance spectroscopy for the characterization of wheat and barley grain entering feedlots in Western Canada.

机译:使用近红外反射光谱法对加拿大西部饲育场中的小麦和大麦籽粒进行表征。

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摘要

The first experiment evaluated the use of near infrared reflectance spectroscopy (NIRS) for the nutrient prediction of wheat grain and the factors affecting in vitro dry matter digestibility (IVDMD) and in vitro kinetics of gas production of wheat grain. Wheat samples (n = 75) were selected from three feedlots in Alberta from September 2011 to April 2012 to represent a range in DM, CP, starch, and fat. The prediction models for DM, CP, and starch were tested and the effect of each nutrient on in vitro fermentation parameters were evaluated. A second experiment was conducted evaluating the effects of a barley spectra index on in vitro fermentation parameters and feedlot performance of yearling cattle. Results of the first experiment demonstrate that NIRS can accurately predict (R2 = 0.90) the CP content but not DM or starch (R2 = 0.17 and 0.02, respectively) across a broad range of composition. High DM samples had greater IVDMD (P < 0.05) than low and medium DM samples. Rate of gas production of high starch samples was lower than low starch samples and higher for high CP samples than medium and low CP samples. Results of experiment two indicate that segregating barley by spectra index may improve cattle performance by minimizing variability in substrate supplied to the rumen. Cattle fed LOW, MED, or HIGH spectra index barley had greater DMI (P = 0.02), tended to have greater HCW and live- and carcass adjusted ADG (P = 0.08, 0.09, 0.07, respectively) than cattle fed the unsegregated CON. Likelihood of Yield Grade 1 carcasses was greatest (P = 0.05) in steers fed MED treatment barley. As treatment group increased there was: a linear decrease in DM (P = 0.02); linear increase in CP (P < 0.01); a tendency for a linear decrease in starch (P = 0.07); linear decrease in the color variables brightness and red:green scale (P = 0.02 and 0.04, respectively); and linear increases in 1,000-kernel weight and kernel diameter (P < 0.05).
机译:第一个实验评估了使用近红外反射光谱(NIRS)预测小麦籽粒的养分以及影响体外干物质消化率(IVDMD)和小麦籽粒产气动力学的因素。从2011年9月至2012年4月在艾伯塔省的三个饲养场中选取了小麦样本(n = 75),以表示DM,CP,淀粉和脂肪的含量。测试了DM,CP和淀粉的预测模型,并评估了每种营养素对体外发酵参数的影响。进行第二个实验,评估大麦光谱指数对一岁牛体外发酵参数和饲养场性能的影响。第一个实验的结果表明,NIRS可以在广泛的组成范围内准确预测(R2 = 0.90)CP含量,但不能准确预测DM或淀粉(R2 = 0.17和0.02)。高DM样品比低和中DM样品具有更高的IVDMD(P <0.05)。高淀粉样品的产气率低于低淀粉样品,高CP样品的产气率高于中低CP样品。实验二的结果表明,通过光谱指数分离大麦可以通过最大程度地减少提供给瘤胃的底物的变异性来提高牛的生产性能。与饲喂未分离CON的牛相比,饲喂LOW,MED或HIGH光谱指数大麦的牛具有更高的DMI(P = 0.02),倾向于具有更高的HCW以及活体和car体调整的ADG(分别为P = 0.08、0.09、0.07)。在饲喂MED处理大麦的ste牛中,1级cas体产量的可能性最大(P = 0.05)。随着治疗组的增加,DM呈线性下降(P = 0.02); CP的线性增加(P <0.01);淀粉线性下降的趋势(P = 0.07);颜色变量亮度和红色:绿色比例线性下降(分别为P = 0.02和0.04);千粒重和籽粒直径呈线性增加(P <0.05)。

著录项

  • 作者

    Harding, Andrew Robert.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Animal sciences.
  • 学位 M.S.
  • 年度 2014
  • 页码 124 p.
  • 总页数 124
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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