...
首页> 外文期刊>Journal of near infrared spectroscopy >Evaluation of groat percentage in oats (Avena sativa L.) by near infrared spectroscopy
【24h】

Evaluation of groat percentage in oats (Avena sativa L.) by near infrared spectroscopy

机译:用近红外光谱法评估燕麦(Avena sativa L.)中的去壳率

获取原文
获取原文并翻译 | 示例
           

摘要

In oats (Avena sativa L.), groat percentage (GP) is defined as the amount of hull-less kernels obtained after de-hulling, expressed as a percentage of the weight of the sample. GP is considered a good marker of milling yield in oats, but so far a quick and reliable method to define it has been lacking. In the present study, a group of oat cultivars, grown in Italy in 1998-2000, was used to develop near infrared (NIR) spectroscopy calibration equations for this parameter. The material for the analysis was represented by whole kernels. The coefficient of determination R{sup}2c was 0.80. The ability of the equation to predict GP was then verified using a separate set of oat samples. These preliminary results indicated that NIR spectroscopy could be considered a good tool to predict GP in oat cultivars; analysis of whole kernels allowed time to be saved by avoiding the grinding stage in sample preparation.
机译:在燕麦(Avena sativa L.)中,去壳率(GP)定义为脱壳后获得的无壳果仁的量,表示为样品重量的百分比。 GP被认为是燕麦制粉产量的良好标志,但到目前为止,尚缺乏一种快速可靠的方法来定义它。在本研究中,一组1998年在意大利种植的燕麦品种被用于开发该参数的近红外(NIR)光谱校准方程式。分析的材料以整个内核表示。测定系数R {sup} 2c为0.80。然后使用另一套燕麦样品验证了方程预测GP的能力。这些初步结果表明,近红外光谱可被认为是预测燕麦品种GP的良好工具。对整个籽粒的分析可以避免样品制备中的研磨步骤,从而节省了时间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号