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菜心重要农艺性状与SSR分子标记的关联分析
引用本文:严少杰. 菜心重要农艺性状与SSR分子标记的关联分析[J]. 中国果菜, 2021, 0(2): 34-43,60
作者姓名:严少杰
作者单位:广州大学生命科学学院
基金项目:广州市科技项目(202002020007)。
摘    要:菜心是华南地区的主要蔬菜,利用分子标记辅助育种发掘出与重要农艺性状相关的分子,不仅可以加速优良品种的选育进程,还可以定向地优化目标性状,培育出高产优质的菜心品种.本研究选用148 份来自宁夏银川和广东南沙田间种植的菜心种质材料,采集株高、株质量、薹高、薹质量和薹粗5 个重要农艺性状的数据;利用SSR 标记对其进行基因分...

关 键 词:菜心  农艺性状  分子标记  群体结构  关联分析

Association Analysis of Agronomic Traits with SSR Molecular Markers in Brassica campestris L.
YAN Shao-jie. Association Analysis of Agronomic Traits with SSR Molecular Markers in Brassica campestris L.[J]. China Fruit and Vegetable, 2021, 0(2): 34-43,60
Authors:YAN Shao-jie
Affiliation:(School of Life Sciences,Guangzhou University,Guangzhou 510006,China)
Abstract:Brassica campestris is one of the main vegetables in South China.Using molecular marker assisted breeding to find out the molecular markers related to important agronomic traits can not only accelerate the breeding process of excellent varieties,but also optimize the target traits directionally,which is conducive to the cultivation of high-quality and high-yield varieties of Brassica campestris.In this study,148 Brassica campestris materials grown in Yinchuan of Ningxia and Nansha of Guangdong were selected,and 5 important traits including plant height,plant mass,stalk height,stalk mass and stalk diameter during the harvest time were measured.SSR markers were used for genotyping and correlation analysis of agronomic traits and SSR markers.The results showed that using 147 SSR markers could detect 252 mutation sites in selected materials,and the polymorphic information content(PIC)ranged from 0.0526 to 0.5222 with an average values of 0.3793.The population structure analysis divided the selected materials into two groups.Association analysis of agronomic traits and SSR markers found that 6 loci were extremely significantly correlated(P<0.01)with same traits in Yinchuan and Nansha.These markers can provide references for molecular assisted selection breeding of Brassica campestris.
Keywords:Brassica campestris L.  agronomic traits  molecular marker  population structure  association analysis
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