紫斑牡丹果实性状变异及其产量分级标准研究

刘娜; 成仿云

doi:10.11913/PSJ.2095-0837.2020.30378

紫斑牡丹果实性状变异及其产量分级标准研究

刘娜^1,2,3,
成仿云^1,2,3, ,

1. 北京林业大学园林学院牡丹国际研究院, 北京 100083;
2. 北京林业大学北京林木分子设计育种高精尖创新中心, 北京 100083;
3. 北京林业大学国家花卉工程技术研究中心, 北京 100083

基金项目:

国家重点研发计划（2019YFD1001502）；北京林业大学世界一流学科建设与特色发展指导基金项目（2019XKIS0324）。

详细信息

作者简介:
刘娜(1987-),女,博士,研究方向为花卉分子生物学(E-mail:liunapeony@126.com)。

通讯作者:
成仿云,E-mail:chengfy8@263.net

中图分类号: Q945
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- 文章访问数: 662
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出版历程
- 收稿日期: 2019-09-28
- 修回日期: 2019-11-06
- 网络出版日期: 2022-10-31
- 发布日期: 2020-06-27

Variation and yield grading standards of fruit traits in Paeonia rockii (S. G. Haw et L. A. Lauener) T. Hong et J. J. Li

Liu Na^1,2,3,
Cheng Fang-Yun^1,2,3, ,

1. Peony International Institute, School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China;
2. Beijing Advanced Innovation Center of Tree Breeding by Molecular Design, Beijing Forestry University, Beijing 100083, China;
3. National Engineering Research Center for Floriculture, Beijing Forestry University, Beijing 100083, China

Funds:

This work was supported by grants from the National Key Research and Development Program (2019YFD1001502), and World-Class Discipline Construction and Characteristic Development Guidance FUNDs for Beijing Forestry University (2019XKIS0324).

摘要

摘要: 以419个紫斑牡丹（Paeonia rockii（S.G.Haw et L.A.Lauener）T.Hong et J.J.Li）单株构成的试验群体为研究对象，对12个果实性状进行调查和分析。结果显示，12个性状在不同样本间的表型差异均达到极显著水平。相关性分析结果发现有51对组合为显著相关，其中46对组合为极显著相关。主成分分析结果将12个性状划分为能够较好地解释群体果实性状变异的3个主成分。系统聚类分析结果表明，试验群体样本可划分为5类，12个性状可划分为4类。研究结果确定了紫斑牡丹产量构成的主要指标（单株的果实数、果实鲜重、种子数和种子鲜重）和次要指标的三级标准，并筛选出8个高产潜力单株。
- 紫斑牡丹 /
- 果实性状 /
- 表型变异 /
- 产量 /
- 分级标准
Abstract: We screened and constructed a test population consisting of 419 individuals of Paeonia rockii (S. G. Haw et L. A. Lauener) T. Hong et J. J. Li, with 12 fruit traits then analyzed. Results indicated that highly significant differences were found for all fruit traits among the different accessions. Based on correlation analysis, 51 pairs of combinations were significantly correlated, among which 46 pairs were very significantly correlated. Principal component analysis classified the 12 fruit traits into three principal components, which explained the variation of fruit traits in the test population. Systematic cluster analysis divided the test population into five categories and the 12 quantitative traits into four categories. Taken together, three grading standards for the main indicators (fruit number, fruit fresh weight, seed number, and seed fresh weight of individual plant) and secondary indicators of yield formation in P. rockii were determined, and eight individual plants with high-yield potential were obtained.
- Paeonia rockii /
- Fruit traits /
- Phenotypic variation /
- Yield /
- Grading standards

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