Study on the strategies of integrating qualitative and quantitative traits for constructing core collection

Study on the strategies of integrating qualitative and quantitative traits for constructing core collection
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发表时间:
2005
期刊:
Journal of Zhejiang University Agriculture and Life Sciences
影响因子:
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通讯作者:
Xu Hai-ming
Xu Hai-ming
中科院分区:
其他
文献类型:
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作者:
Xu Hai-ming

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不同品种间的遗传差异可以通过不同水平的质量性状和数量性状反映出来。目前,分别利用质量性状和数量性状来衡量个体间的遗传相似性。提出了质量性状与数量性状相结合的种质核心种质资源构建策略,调整后的欧氏距离在检测种质间的遗传差异时有效,对缺失数据的处理也较为灵活。以中国农业科学院水稻生态研究室、南方中国农学院和广东省农科院收集调查的2262份水稻种质资源的10个质量性状和15个数量性状为例,采用调整欧氏距离和未加权算术平均配对组法进行群体分类,对8个嵌套核心子集进行逐步聚类,并采用优选抽样策略对该方法进行评价。结果表明,基于综合策略的亚集扩大了质量和数量性状的遗传多样性;质量性状不能有效地衡量材料间的遗传差异;如果可能,核心种质的构建应以与质量信息整合相关的数量性状为基础。
Genetic differences between accessions can be reflected by qualitative and quantitative traits at diverse levels. Currently, qualitative traits and quantitative traits are independently utilized in measuring genetic similarity between individuals. A strategy of integrating qualitative traits and quantitative traits was proposed for establishing a core collection of germplasm; adjusted Euclidean distance was found effective in detecting genetic differences between accessions, which is also flexible in dealing with missing data. A case study was conducted on 10 qualitative and 15 quantitative traits of 2262 rice accessions collected and investigated by the Rice Ecology Research Lab of the Chinese Academy of Agricultural Sciences, the South China Agricultural College and the Guangdong Academy of Agricultural Sciences; adjusted Euclidean distance and the Unweighted Pair Group Method with Arithmetic mean (UPGMA) were used in classification of population; 8 nested core subsets were sampled by stepwise clustering with preferred sampling strategy, for evaluating the proposed method. The results showed that subsets based on integrated strategy harbored widen genetic diversity of qualitative and quantitative traits; qualitative traits are not effective enough in measuring genetic differences between accessions; constructing of core collection should be based on quantitative traits associated with integration of qualitative information, if possible.