论文部分内容阅读
基于50年来收集的3 026份加工番茄不同类型种质资源,分别利用20个表型性状和均匀覆盖12条染色体的46个SNP标记,采用5种不同方法(Mstrat、Random、REMC、SBS和SFS)构建了10种初始核心种质。通过对其代表性评价与分析,最终确定了加工番茄最佳核心种质。Mstrat是构建加工番茄亚群核心种质的最佳方法,采用10%抽样比例所构建的302份最佳核心种质GCC1对原始种质的遗传结构和多样性均具有较好的代表性。通过对原始种质群体结构和主成分分析,加工番茄种质资源可分为2个较大的群体,遗传背景分别是基于代表性材料普通栽培番茄E6203和M82,所构建的GCC1核心种质均匀分布在原始种质资源群体。
Based on 20 different phenotypic traits of 3 026 tomato cultivars collected in 50 years, 46 SNP markers covering 12 chromosomes were evenly spread across 5 different methods (Mstrat, Random, REMC, SBS and SFS ) Constructed 10 initial core collections. Through the evaluation and analysis of its representative, the best core collection of processed tomato was finally determined. Mstrat is the best method to construct the core germplasm of processing tomato subpopulation. The best core collection GCC1 constructed by 10% sampling scale is representative of the genetic structure and diversity of original germplasm. Through the analysis of the structure and principal component analysis of original germplasm population, the processing tomato germplasm resources can be divided into two larger groups, the genetic background is based on the representative materials commonly cultivated tomato E6203 and M82, the constructed GCC1 core collection Distribution in the original germplasm resources groups.