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引用本文格式: 王复标,石军,黄廷友,司二杰,郑卓,孙惠敏. 水稻遗传多样性及其农艺性状与SSR标记的关联分析 [J]. 四川大学学报: 自然科学版, 2019, 56: 976~982.
 
水稻遗传多样性及其农艺性状与SSR标记的关联分析
Association analysis among genetic diversity, agronomic characteristics and SSR markers in rice
摘要点击 66  全文点击 28  投稿时间:2018-12-08  修订日期:2019-04-23
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DOI编号   
中文关键词   SSR  遗传多样性  群体遗传结构  关联分析
英文关键词   SSR  Genetic diversity  Population structure  Association analysis
基金项目   国家自然科学基金(31660382); 江西省自然科学基金(20161BAB214164); 井冈山大学博士科研启动金(jzb1826)
作者单位E-mail
王复标 井冈山大学生命科学学院  
石军 绵阳市农业科学研究院水稻所  
黄廷友 绵阳市农业科学研究院水稻所  
司二杰 井冈山大学生命科学学院 1609388812 @qq.com 
郑卓 井冈山大学生命科学学院  
孙惠敏 井冈山大学生命科学学院 huimin729@163.com 
中文摘要
    分析水稻材料的遗传多样性,寻找与农艺性状相关联的分子标记,为水稻杂交组合的配置及分子标记辅助育种提供依据.利用60对分布于水稻12条染色体组的SSR标记对190份水稻材料进行遗传多样性分析与群体遗传结构分析,并采用Tassel3.0的GLM和MLM进行标记与农艺性状的关联分析.结果显示,190份水稻材料的遗传相似系数(GS)变异范围为0.62~0.97,平均值为0.86.按群体遗传结构可将供试材料分为3个亚群.以GLM分析,发现8个与穗长、一次枝梗数、一次枝梗穗粒数、二次枝梗数、二次枝梗穗粒数、总穗粒数和饱满穗粒数相关联的标记,各标记对表型变异的解释率为00648;以MLM分析显示,8个标记对表型变异的解释率在0.0378~0.0648.本研究获得的这8个农艺性状相关的分子标记可以作为辅助育种培育高产水稻品种的分子标记.
英文摘要
    In order to provide a basis for hybridization combination of parent materials and molecular assisted breeding, the genetic diversity of parent materials was analyzed by using SSR markers and their association with some agronomic traits. The genetic diversity analysis and population genetic structure analysis of 190 rice materials were analyzed using 60 pairs of SSR markers distributed in 12 chromosomes of rice. On this basis, the correlation analysis between the marker and agronomic traits was carried out using GLM and MLM of Tassel 3.0. The results showed that the genetic similarity coefficient (GS) variation of 190 rice materials ranged from 0.62 to 0.97 with an average of 0.86. According to the genetic structure of the opulation, the tested materials could be divided into three subgroups. With GLM analysis, 8 markers associated with spike length, a branch number, primary branch grain number, secondary branch number, secondary branch grain number, the total number of grains/ear and not full grain associated tag were found, and the tag on the interpretation of the phenotypic variation rate was 0.0648. In the MLM system analysis, the explanatory rates of phenotypic variation by 8 markers ranged from 0.0378 to 0.0648. The molecular markers lated to these eight agronomic traits obtained in this study will provide a theoretical basis for marker assisted breeding of high yielding rice varieties.

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