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新疆地区10种蔷薇属植物表型分析与评价OA

Phenotypic Analysis and Evaluation of 10 Species of Rosa in Xinjiang

中文摘要英文摘要

为了筛选蔷薇优异种质,以分布于新疆地区的 10 种蔷薇属植物为试材,调查观测其表型性状,并采用主成分分析和聚类分析对种质进行综合评价.结果表明:观测的20个表型性状中有13个变异性状可用于主成分分析,共提取到4个主成分,累计贡献率为 81.594%;冠幅、株高、生长势、花量、花香、小叶宽度和生长习性能够反映新疆地区蔷薇属植物形态性状基本特征.综合评价排名前 5 的种质分别为腺果蔷薇、疏花蔷薇、托木尔蔷薇、大花密刺蔷薇和毛叶疏花蔷薇.聚类分析将 10种材料划分为 2 大类,表明新疆地区蔷薇属资源在共同抗逆背景下仍存在明显表型分化.该研究可为新疆地区蔷薇属植物资源的综合评价分析与高效利用提供基础数据,同时可依据各种质的性状特征,为月季等蔷薇属植物育种优良亲本选配提供依据.

This paper used 10 species of Rosa plants distributed in Xinjiang as test materials and investigated and observed their phenotypic traits,aiming to screen the elite germplasm.Principal component analysis and cluster analysis were performed for comprehensive evaluation.The results showed that 13 of the 20 phenotypic traits could be used for principal component analysis,and 4 principal components were extracted,with a cumulative contribution rate of 81.594%.Crown width,plant height,growth vigor,flower quantity,floral fragrance,leaflet width,and growth habit can reflect the basic morphological characteristics of Rosa plants in Xinjiang.According to the comprehensive evaluation,the top 5 germplasm species were R.fedtschenkoana,R.laxa,R.tomurensis,R.spinosissirna var.altaica,and R.laxa var.mollis.Cluster analysis classified the 10 species into two categories,indicating that the Rosa resources in Xinjiang still had obvious phenotypic differentiation under the common stress background.This study provided basic data for the comprehensive evaluation,analysis,and efficient utilization of Rosa plant resources in Xinjiang.At the same time,it provided a basis for the selection of excellent parents for Rosa breeding based on phenotypic traits.

于子涵;隋云吉;安晓芹;郭润华;吴旭丽;张东风

新疆农业大学林学与风景园林学院,新疆维吾尔自治区 乌鲁木齐市 830052新疆应用职业技术学院,新疆维吾尔自治区 伊犁哈萨克自治州奎屯市 833200新疆农业大学林学与风景园林学院,新疆维吾尔自治区 乌鲁木齐市 830052新疆应用职业技术学院,新疆维吾尔自治区 伊犁哈萨克自治州奎屯市 833200新疆应用职业技术学院,新疆维吾尔自治区 伊犁哈萨克自治州奎屯市 833200新疆生产建设兵团第七师农业科学研究所,新疆维吾尔自治区 伊犁哈萨克自治州奎屯市 833200

农业科技

蔷薇属植物观赏特性抗逆性主成分分析聚类分析新疆地区

Rosa plantsornamental characteristicsstress resistanceprincipal component analysiscluster analysisXinjiang

《湖南农业科学》 2026 (7)

84-89,6

国家重点研发计划(2021YFD1100604)

10.16498/j.cnki.hnnykx.2026.007.013

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