Establishment of Chinese soybean Glycine max core collections with agronomic traits and SSR markers
Establishment of Chinese soybean Glycine max core collections with agronomic traits and SSR markers
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DOI：
10.1007/s10681-006-9142-3
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发表时间：
2006-09-01
期刊：
影响因子：
1.9
通讯作者：
Qiu, Lijuan
中科院分区：
文献类型：
--
作者：
Wang, Lixia;Guan, Yuan;Qiu, Lijuan
有效研究和利用遗传多样性资源在作物育种和可持续农业中非常重要。本研究比较了不同的采样方法和样本量，以优化构建合理规模的中国大豆核心种质的策略。无论采用何种抽样方法，在抽样比例为1%的情况下，核心种质多样性均达到前核心种质多样性的70%以上。使用简单序列重复（SSR）标记数据和农艺性状建立的核心种质比独立选择的核心种质更具代表性。确定了大豆核心种质的最佳抽样方法，其中基于 SSR 和农艺数据，采用策略“S”（根据每个生态型内原始样本量的平方根的比例将种质分配到簇中）。采用曲线估计的方法估算了整个中国大豆种质的等位基因丰富度和核心种质的最小样本量，确定核心种质的最佳采样比例为2%左右。对具有14个农艺性状和60个SSR位点的等位基因组成的核心种质的进一步分析表明，它在遗传结构和多样性分布上都高度代表了整个种质。该核心种质将为合理开发大豆种质资源、研究复杂性状和发现作物遗传发展重要的新性状提供有效平台。
It is very important to efficiently study and use genetic diversity resources in crop breeding and sustainable agriculture. In this study, different sampling methods and sample sizes were compared in order to optimize the strategies for building a rationally sized core collection of Chinese soybean (Glycine max). The diversity in the core collection captured more than 70% of that in the pre-core collection, no matter what sampling methods were used, at a sampling proportion of 1%. Core collections established with both simple sequence repeat (SSR) marker data and agronomic traits were more representative than those chosen on an independent basis. An optimal sampling method for a soybean core collection was determined, in which strategy 'S' (allocating accessions to clusters according to the proportion of square root of the original sample size within each ecotype) was used based on SSR and agronomic data. Curve estimation was used to estimate the allelic richness of the entire Chinese soybean germplasm and a minimum sample size for a core collection, on which a sampling proportion of about 2% was determined to be optimal for a core collection. Further analysis on the core collection with fourteen agronomic traits and allelic constitution at 60 SSR loci suggested that it highly represented the entire collections both on genetic structure and diversity distribution. This core collection would provide an effective platform in proper exploitation of soybean germplasm resources for the study of complex traits and discovering important novel traits for crop genetic development.