摘要
以29份寒地杏种质资源为试材,测定果实23个质量性状和6个数量性状并进行分析评价,以期为深入了解寒地杏种质资源遗传多样性、挖掘和高效利用杏资源提供参考依据。结果表明:29份资源数量性状中果实硬度和单果质量变异系数最大,分别为68.35%和40.32%,单果质量和核鲜质量呈显著正相关;质量性状的多样性指数变化范围为0.2732~1.6731,果形多样性指数最高,为1.6731,风味和果实颜色的多样性指数分别为1.2049和1.1919,说明杏资源表型多样性较为丰富;主成分分析表明前8个主成分能代表23个描述型性状的大部分信息,累计方差贡献率达77.789%;筛选出6份优异鲜食杏资源,分别为‘丹麦黄杏’‘双山杏’‘桦甸杏’‘白杏1’‘九台晚杏’‘桦甸红杏’。
Twenty-nine apricot germplasm resources were used as test materials,twenty-three qualitative traits and six quantitative traits of fruit were analyzed and evaluated,in order to provide reference for deeply understand the genetic diversity of apricot germplasm resources in cold regions,screen and excavate and efficiently utilize apricot resources.The results showed that the variation coefficients of fruit firmness and single fruit weight were 68.35%and 40.32%,respectively.There was a significant positive correlation between single fruit weight and nuclear fresh weight.The Shannon-Weaver index of quality traits was 0.2732-1.6731,the diversity index of fruit shape was the highest,which was 1.6731,and the diversity indexes of flavor and fruit color were 1.2049 and 1.1919,respectively,indicating that the phenotypic diversity of apricot resources was abundant.Principal component analysis showed that the first 8 principal components could represent most of the information of 23 descriptive characters,and the cumulative variance contribution rate was 77.789%.Six excellent fresh apricot resources were selected:‘Danish Yellow Apricot'‘Shuangshan Apricot'‘Huadian Apricot'‘White Apricot 1'‘Jiutai Late Apricot'and‘Huadian Red Qpricot'.
作者
陈蕾
赵慧
刘禹夫
张瀚竹
张艳波
侯佳贤
CHEN Lei;ZHAO Hui;LIU Yufu;ZHANG Hanzhu;ZHANG Yanbo;HOU Jiaxian(China Agricultural Science and Technology Northeast Innovation Center,Jilin Academy of Agricultural Sciences,Changchun,Jilin 130000;Zhenlai County Black Soil Protection Monitoring Center,Zhenlai,Jilin 137300;Jilin Provincial Seed Management Station,Changchun,Jilin 130000)
出处
《北方园艺》
CAS
北大核心
2024年第8期20-26,共7页
Northern Horticulture
基金
吉林省科技发展计划资助项目(20200402081NC)。
关键词
杏
质量性状
数量性状
相关性分析
主成分分析
apricot
qualitative traits
quantitative traits
correlation analysis
principal component analy-sis
