为探明不同品种月季花瓣营养成分间的差异和相关性,该研究对河南南阳地区10个不同栽培品种月季花瓣中的基本营养成分进行了测定,并结合化学计量学对各营养成分进行了分析评价。结果表明,所测品种中蛋白质和脂肪的平均含量分别为8.93%、1.28%(质量分数);矿物元素K、Ca、Mg、Na、Fe、Mn、Cu、Zn、Se等的平均含量分别为14 459.41、2 171.43、1 692.21、53.04、93.31、30.98、3.70、20.89、0.87 μg/g,且品种间差异达显著水平;主成分分析得出4因子模型,提取前4个主成分其累计贡献率达到 83.24%,主成分分析和聚类分析均将10个品种的月季花划分为五类,表明这2种分析法可以很好地区分不同月季花品种。该研究为月季花种质的筛选、品质评价和月季花资源的综合利用和产品开发提供了一定的科学参考。
To investigate the correlation between the nutrient contents of different species of Chinese rose petals,Kjeldahl nitrogen determination,inductively coupled plasma atomic emission spectroscopy (ICP-AES),and acid hydrolysis were employed to measure the principal nutrient contents in ten species of Chinese rose petals from Nanyang in Henan.Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were then utilized to evaluate each nutrient.Using these methods,the average protein and fat levels across ten different species were 8.93% and 1.28%,respectively.The average contents of mineral elements K,Ca,Mg,Na,Fe,Mn,Cu,Zn,Se were 14 459.41,2 171.43,1 692.21,53.04,93.31,30.98,3.70,20.89,0.87 μg/g.However,there were statistically significant differences in the concentration of protein,fat,macroelements,and microelements across species.Moreover,the coefficient of variances of difference species were significantly different.PCA of each nutrient content resulted in a four-factor model,and the cumulative contribution rate of the four principal components was 83.24%.The ten species were categorized into 5 groups by PCA,which was consistent with the result obtained using HCA and indicating that PCA and HCA were suitable methods for classification of different Chinese rose species.The study thus provides scientific references and valuable insights for germ plasm screening,quality evaluation,integrated utilization,and product development of Chinese roses.
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