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Development of near-infrared reflectance spectroscopy models for quantitative determination of water-soluble carbohydrate content in wheat stem and glume

机译:建立近红外反射光谱模型以定量测定小麦茎和颖中水溶性碳水化合物的含量

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摘要

Water-soluble carbohydrate (WSC) reserved in stem is an important agronomic trait for crop improvement. The intact samples and pieces of chipped samples were employed to determine WSC content by near-infrared reflectance spectroscopy (NIRS). Three NIRS models were developed to predict WSC content in wheat stem lower internode, upmost internode, and wheat glume, respectively. Moreover, a mixed model was developed for WSC quantitative analysis in the mixed sample of the three wheat organs. Statistics analysis indicated that the four models showed a high determination coefficient (R~2 ≥0.97) and ratio of standard deviation to RMSECV (RPD ≥5.99). The NIRS models would allow rapid and high throughout assessments and selections of WSC contents in wheat genetics and breeding programs.
机译:茎中保留的水溶性碳水化合物(WSC)是作物改良的重要农艺性状。使用完整的样品和碎片样品通过近红外反射光谱法(NIRS)测定WSC含量。开发了三种NIRS模型来分别预测小麦茎下节间,最高节间和小麦颖片中的WSC含量。此外,在三个小麦器官的混合样品中,建立了用于WSC定量分析的混合模型。统计分析表明,这四个模型具有较高的测定系数(R〜2≥0.97)和RMSECV的标准偏差比(RPD≥5.99)。 NIRS模型将允许在小麦遗传学和育种计划中快速,全面地评估和选择WSC含量。

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