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首页> 外文期刊>Journal of Ginseng Research >Discrimination of cultivation ages and cultivars of ginseng leaves using Fourier transform infrared spectroscopy combined with multivariate analysis
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Discrimination of cultivation ages and cultivars of ginseng leaves using Fourier transform infrared spectroscopy combined with multivariate analysis

机译:傅里叶变换红外光谱结合多元分析判别人参叶片的栽培年龄和品种

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To determine whether Fourier transform (FT)-IR spectral analysis combined with multivariate analysis of whole-cell extracts from ginseng leaves can be applied as a high-throughput discrimination system of cultivation ages and cultivars, a total of total 480 leaf samples belonging to 12 categories corresponding to four different cultivars (Yunpung, Kumpung, Chunpung, and an open-pollinated variety) and three different cultivation ages (1?yr, 2?yr, and 3?yr) were subjected to FT-IR. The spectral data were analyzed by principal component analysis and partial least squares-discriminant analysis. A dendrogram based on hierarchical clustering analysis of the FT-IR spectral data on ginseng leaves showed that leaf samples were initially segregated into three groups in a cultivation age-dependent manner. Then, within the same cultivation age group, leaf samples were clustered into four subgroups in a cultivar-dependent manner. The overall prediction accuracy for discrimination of cultivars and cultivation ages was 94.8% in a cross-validation test. These results clearly show that the FT-IR spectra combined with multivariate analysis from ginseng leaves can be applied as an alternative tool for discriminating of ginseng cultivars and cultivation ages. Therefore, we suggest that this result could be used as a rapid and reliable F1 hybrid seed-screening tool for accelerating the conventional breeding of ginseng. Keywords: cultivation age, Fourier transform IR, ginseng cultivars, ginseng leaves, Panax ginseng.
机译:为了确定傅里叶变换(FT)-IR光谱分析与人参叶全细胞提取物的多变量分析相结合是否可以用作培养年龄和品种的高通量判别系统,总共480个叶样品属于12个FT-IR分别对应于四个不同的栽培品种(云蓬,甘榜,春蓬和一个开放授粉品种)和三个不同的种植年龄(1?yr,2?yr和3?yr)进行分类。光谱数据通过主成分分析和偏最小二乘判别分析进行分析。基于人参叶片FT-IR光谱数据的层次聚类分析的树状图显示,叶片样品最初以取决于栽培年龄的方式分为三类。然后,在同一栽培年龄组内,叶片样品以依赖栽培品种的方式分为四个亚组。在交叉验证测试中,判别品种和栽培年龄的总体预测准确度为94.8%。这些结果清楚地表明,FT-IR光谱与人参叶的多变量分析相结合可以用作区分人参品种和栽培年龄的替代工具。因此,我们建议该结果可作为一种快速,可靠的F1杂交种子筛选工具,用于加速人参的常规育种。关键词:栽培年龄;傅里叶变换红外光谱;人参品种;人参叶;人参

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