论文部分内容阅读
利用长江春大豆初选核心种质SSR(simplesequencerepeat)标记和农艺性状表型等基础数据 ,对用不同个体取样方法以及不同数据类型建立的核心种质进行评价 ,目的是为确定中国大豆 (Glycinemax)核心种质的最佳取样策略提供依据。结果表明 ,根据SSR分子数据聚类 ,采用类内随机取样、类内以遗传相似性系数取样以及仅依据遗传相似性系数取样都可用于大豆核心种质构建。但是综合不同评价参数发现 ,以类内随机取样最佳 ,类内按遗传相似性系数取样次之 ,单独以遗传相似性系数取样较差。分析不同SSR等位变异保留比例的遗传多样性指数发现 ,当保留 90 %和 80 %的SSR等位变异时 ,核心种质具有更高的遗传多样性。由于与SSR分子数据对种质遗传关系评价的不一致性 ,农艺性状等基础数据虽然可用来构建核心种质 ,但其SSR分子水平代表性相对较低。本研究结果还表明 ,用不同方法或同一方法不同重复次数取样建立的核心种质具有异质性 ,且这种异质性随核心种质取样比例的降低而增大。因此 ,虽然可依据不同数据类型确定相应的方法建立核心种质 ,但综合表型和分子数据建立的核心种质更具有代表性。
Based on simple sequence core (SSR) markers and agronomic traits phenotypes of Changchun Spring Soybean primary core collection, the core collection established by different sampling methods and data types was evaluated in order to determine the Glycine max Core collection of the best sampling strategy to provide the basis. The results showed that based on the SSR molecular data clustering, intraspecific random sampling, sampling of the genetic similarity coefficient within the class, and sampling based on the genetic similarity coefficient were all used for the construction of soybean core germplasm. However, based on the different evaluation parameters, it is found that the random sampling is the best in the class, followed by the sampling by the genetic similarity coefficient in the class, and the sampling by the genetic similarity coefficient alone is poor. Analysis of the genetic diversity index of the retention ratios of different SSR alleles revealed that the core collection had higher genetic diversity when the SSR alleles of 90% and 80% were retained. Due to the inconsistency between SSR molecular data and genetic evaluation of germplasm, the basic data of agronomic traits can be used to construct core collection, but their SSR molecular level is relatively low. The results of this study also showed that the core collection established by different methods or by different sampling times of the same method was heterogeneous, and the heterogeneity increased with the decrease of sampling rate of core collection. Therefore, although core collections can be established according to different data types, the core collection based on comprehensive phenotype and molecular data is more representative.