摘要: 为有效利用杜仲雄花资源,以193份杜仲种质为试材,采用主成分分析和聚类分析方法开展了品质评价指标筛选和种质资源综合评价研究。结果表明:含水率和氨基酸含量在不同种质间变异系数较小,其它性状变异系数较大。主成分分析显示反映杜仲雄花品质的17个性状可用8个主成分来表示(累积贡献率达85.777%),筛选出雄蕊长度、单株产量、京尼平苷酸、绿原酸、异槲皮苷、总黄酮、氨基酸含量以及含水率这8个性状用于杜仲雄花品质综合评价。经综合评价,编号为10469x、11042x、11034x、10036x、10464x、10559x、10024x、10060x、10497x的杜仲雄花品质相对较好。对193份杜仲种质进行Q型聚类,在遗传距离7.0处可划分为四类,第Ⅲ类群杜仲种质雄花综合性状较好,与主成分分析综合评价结果基本一致,第Ⅱ类群杜仲雄花8种活性成分含量均较高,第Ⅳ类群杜仲雄花形态性状表现也较好。可为杜仲良种选育及雄花资源开发利用提供参考依据。
关键词: 杜仲, 雄花, 品质, 主成分分析, 聚类分析
Abstract: To efficiently utilize the Eucommia ulmoides male flower resources, the morphological traits and active compounds of 193 E.ulmoides germplasms were testd. The screening of evaluation indices and comprehensive evaluation of E.ulmoides germplasms were carried out by using principal component analysis and cluster analysis. The coefficients of variation of water content and amino acids content were smaller than those of other 15 traits among different germplasms. By principal component analysis, 17 traits reflecting the quality of E.ulmoides male flowers could be represented by 8 principal components(cumulative contribution rates of 85.777%). Eight traits including stamen length, yield of per plant, geniposidic acid, chlorogenic acid, isoquercitrin, total flavonoids, amino acids content and water content were selected to comprehensively evaluate the quality of E.ulmoides male flowers. On the basis of composite score ranking, E.ulmoides numbered 10469x, 11042x, 11034x, 10036x, 10464x, 10559x, 10024x, 10060x and 10497x had better quality. The 193 E.ulmoides germplasms were divided into 4 groups at 7.0 by Q-type cluster analysis, the overall traits of E.ulmoides male flowers in the third group was better than other 3 groups, which was consistent with the results of comprehensive evaluation. Eight active compounds were comparatively high in the second group and the morphological traits were also good in the fourth group. The results could provide a reference for E.ulmoides breeding program and the utilization of male flower resources.
Key words: Eucommia ulmoides, male flowers, quality, principal component analysis, cluster analysis
中图分类号:
S727.3
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