WANG Xiaoxiao,LU Lili,LI Qin,et al.Comprehensive Evaluation and Screening of High Temperature Resistance and Yield of Oil Peony ‘Fengdan’[J].Northern Horticulture,2022,(19):69-77.[doi:10.11937/bfyy.20221188]
油用牡丹‘凤丹’耐高温能力与产量综合性评价与筛选
- Title:
- Comprehensive Evaluation and Screening of High Temperature Resistance and Yield of Oil Peony ‘Fengdan’
- Keywords:
- advanced selections; high temperature resistance; yield; factor analysis; cluster analysis
- 文献标志码:
- A
- 摘要:
- 以59个油用牡丹‘凤丹’单株为试材，采用相关性分析、因子分析和聚类分析等方法，研究了夏季高温对‘凤丹’农艺性状和耐高温指标的影响，以期为油用牡丹的耐高温育种提供参考依据。结果表明：各单株之间的性状差异显著，平均变异系数达33.61%；相关性分析显示，冠幅、荚果数、单株种子数、单株产量等产量相关性状间呈极显著正相关，高温伤害指数、SPAD值、含水量、电导率等耐高温相关性状间呈极显著或显著相关；因子分析显示，19个性状指标提取出6个主因子，累计贡献率达74.876%，第1公因子为产量因子，贡献率为28.351%，第2公因子为种子因子，贡献率为13.756%，第3公因子为耐高温因子，贡献率为11.040%，后3个因子贡献率较低，统称为其它因子；聚类分析显示，在欧式距离5.0处可将59个单株分为4类，筛选出5个耐高温能力强且高产的优良单株。
- Abstract:
- Fifty-nine oil peony ‘Fengdan’ individual plants were used as experimental materials.Correlation analysis，factor analysis and cluster analysis were used to study the effects of summer high temperature on the agronomic characters and resistance indexes of ‘Fengdan’,in order to provide reference for the high temperature resistance breeding of oil peony.The results showed that the characters of each plant were significantly different，and the average coefficient of variation was 33.61%.Correlation analysis showed that the yield-related traits such as crown width，number of fruits，number of seeds in a plant，yield per plant were significantly positively correlated，while the high temperature resistant traits such as high temperature damage index，SPAD value，water content and electrical conductivity were significantly correlated.Factor analysis showed that 6 main factors were extracted from 19 indices，with a cumulative contribution rate of 74.876%.The first factor was yield factor，with variance contribution approached to 28.351%.The second factor was seed factor，with variance contribution approached to 13.756%.The third factor was high temperature resistance factor，with variance contribution approached to 11.040%.The latter three factors had low contribution rates and were collectively referred to as other factors.Cluster analysis showed that 59 individual plants could be divided into four grades at 5.0 square Euclidean distance，and 5 excellent individual plants with high temperature resistance and high yield were screened out.
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备注/Memo
第一作者简介：王晓晓（1996-），女，硕士，研究实习员，现主要从事园艺作物栽培生理与生长发育调控等研究工作。E-mail：2402287168@qq.com.责任作者：赵大球（1984-），男，博士，副教授，现主要从事观赏植物品质形成与调控等研究工作。E-mail：dqzhao@yzu.edu.cn.基金项目：国家重点研发计划资助项目（2019YFD1001502）；江苏省林业科技创新与推广资助项目。收稿日期：2022-03-28