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牡丹翠叶品种及亲本材料亲缘关系的ISSR分析OA

ISSR Analysis of the Relationship between Cultivars of Bright Green Leav-es and Parental Materials of Tree Peony

中文摘要英文摘要

为明确牡丹翠叶性状的遗传规律、提高人工选育效率,本研究以25个牡丹品种(10个翠叶品种,15个非翠叶品种)为研究对象,采用ISSR分子标记对翠叶和非翠叶的亲本材料与其后代材料进行亲缘关系分析.结果表明,12对引物共扩增出2 780个条带,多态性条带比例为99.86%,条带长度多集中在200bp~900bp之间.聚类分析将25个牡丹品种分为10类,其中C21('多花罗汉'×'李园春'后代)与翠叶的三个品种距离最近.本研究结果表明,'多花罗汉'作为亲本可显著提高翠叶后代选育效率,其中与'李园春'杂交为最具潜力的组合,可为牡丹翠叶性状的定向育种及亲本选择提供理论依据.

To clarify the genetic laws governing the characteristics of the bright green leaves of tree peony and to enhance the efficiency of artificial breeding,25 tree peony cultivars(10 cultivars of bright green leaves and 15 cultivars of non-bright green leaves)were used as the research objects in this study.ISSR molecular markers were used to analyse the affinities between the parental materials with bright green leaves and non-bright green leaves and their progeny materials.The results showed that the 12 pairs of primers amplified a total of 2780 ban-ds,with the proportion of polymorphic bands being 99.86%,and the band lengths were mostly concentrated between 200 bp and 900 bp.The cluster analysis classified the 25 tree peony cultivars into 10 categories,among which C21(Paeonia suffruticosa'Duohua Luohan'× P suffruticosa'Liyuan Chun'progeny)was the closest to the three cultivars with bright green leaves.The results indicate that P suffruticosa'Duohua Luohan'can significantly enhance the breeding efficiency of descendants with the bright green leaves trait.Among them,the cross with P.suffruticosa'Liyuan Chun'is the most promising combination,which can provide a theoretical basis for the directional breeding and parent selection of the bright green leaves trait in tree peony.

韩鲲;牛童非;冀含乐;王晓晖;高凯;庞静静;贾文庆

洛阳市农林科学院,河南 洛阳 471000河南科技大学农学院,河南 洛阳 471000洛阳市农林科学院,河南 洛阳 471000洛阳市农林科学院,河南 洛阳 471000洛阳市农林科学院,河南 洛阳 471000洛阳市农林科学院,河南 洛阳 471000河南科技学院,河南 新乡 453003

农业科技

牡丹翠叶ISSR亲缘关系

tree peonybright green leavesISSRaffinities

《特产研究》 2026 (2)

44-48,53,6

河南省重点研发专项项目(231111110600)河南省科技攻关项目(232102111107)中原领军人才项目(ZYYCYU202012129)国家重点研发计划支持课题项目(2018YFD1000401)

10.16720/j.cnki.tcyj.2026.052

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