摘要
【目的】对不同采种区的滇牡丹种子种苗质量进行评价研究,筛选出优良种质用于滇牡丹种苗生产。【方法】本研究探究了主成分分析法在评价种苗质量中的作用,并建立了滇牡丹种苗质量综合评价模型,在此基础上结合了聚类分析对不同采种区种苗质量作出了综合评价。【结果】通过主成分分析,13个性状可综合为3个主成分,其累计贡献率达88.95%。通过主成分的综合评价模型与聚类分析相结合的评价结果,综合评价模型中的猴子山、老君山种苗质量较好,在聚类分析中被聚在第Ⅲ类;G214国道、虎跳峡种苗质量次之,被聚在第Ⅳ类;丽鸣线种源归为第V类;拉井乡、冲古村、城东、达茨坝、滑雪场居群的种苗质量较差,被聚为第I类;通甸乡、羊拉乡居群的种苗最差,被聚为第Ⅱ类。【结论】主成分分析与聚类分析相结合评价种苗质量具有现实指导意义。
【Objective】The seed and seedling quality of Paeonia delavayi in different seed collecting areas were evaluated, and excellent germplasm was screened out for seed and seedling production of Paeonia delavayi. 【Method】In this study, principal component analysis was used to evaluate the quality of seedlings, and the comprehensive evaluation model of seedling quality was established. On this basis, principal component analysis and cluster analysis were combined to evaluate the quality of seedlings in different seed collecting areas. 【Result】Principal component analysis showed that 13 traits could be integrated into 3 principal components, and the cumulative contribution rate was 88.95%. The principal component model combination with cluster analysis showed that the seedling quality of the Monkey mountain and Laojun mountain were good in the principal component analysis model,and they were clustered in the Ⅲ category by cluster analysis. The G214 National Highway and Hutiaoxia were the second, and they were clustered in the Ⅳ category. The Liming Line was clustered in the V category alone. The Lajing township, Chonggu village, Chengdong, Dazba and Skiing park were poor in the principal component analysis model, and they were clustered in the I category. The Tongdian and Yangla Township were the worst, and they were clustered in the Ⅱ category. 【Conclusion】From the conclusion, it can also be seen that the principal component analysis and cluster analysis are of practical guiding significance for evaluating the quality of seedlings.
作者
苏泽春
薛润光
和桂青
李兆光
王泽清
和寿莲
SU Ze-chun;XUE Run-guang;HE Gui-qing;LI Zhao-guang;WANG Ze-qing;HE Shou-lian(Alpine Economie Plant Research Institute,Yunnan Academy of Agricultural Sciences,Yunnan Lijiang 674100,China)
出处
《西南农业学报》
CSCD
北大核心
2020年第2期389-394,共6页
Southwest China Journal of Agricultural Sciences
基金
滇牡丹野生种质资源油成分含量和组成的差异性研究(YJM201808)
滇牡丹种质资源筛选及良种繁育基地建设研究(2017ljNCK001)
滇油用牡丹在生态恢复中的应用技术研究与示范。
关键词
滇牡丹
种苗
主成分
聚类
Paeonia delavayi
Seedling
Principal component
Clustering
