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首页> 外文期刊>Applied biochemistry and biotechnology, Part A. enzyme engineering and biotechnology >Population Structure Analysis and Selection of Core Set among Common Bean Genotypes from Jammu and Kashmir, India
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Population Structure Analysis and Selection of Core Set among Common Bean Genotypes from Jammu and Kashmir, India

机译:印度Jammu和Kashmir常见豆类基因型中核心结构分析与选择

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Understanding the genetic diversity of a crop is useful for its effective utilization in breeding programmes. For better understanding of the genetic variability in common bean, the first and foremost step is to study its genetic diversity. In the present investigation, 138 genotypes of common bean collected from various regions of Jammu and Kashmir, India, representing major common bean growing areas of this region, were evaluated using 23 SSRs. These SSRs were found highly polymorphic and possess high values for various parameters indicating their high discriminatory power. The average PIC value observed was 0.692, with 0.730 as average gene diversity value, and 0.267 as heterozygosity. Twenty-three SSRs produced a total of 251 alleles. The dendrogram generated with un-weighted neighbour joining cluster analysis grouped genotypes into three main clusters with various degrees of sub-clustering within the clusters. The model-based STRUCTURE analysis using 23 SSR markers identified a population with 3 sub-populations which corresponds to distance-based groupings with average F (ST) value and expected heterozygosity of 0.1497 and 0.6696, respectively, within the sub-population, as such high level of genetic diversity was observed within the population. Further, Core Hunter II was used to identify a core set of 96 diverse genotypes. This core set of diverse 96 genotypes is a potential resource for association mapping studies and can be used by breeders as a material to make desirable genetic crosses to generate elite varieties for the fulfilling global market needs. These findings have further implications in common bean breeding as well as conservation programs.
机译:了解作物的遗传多样性可用于其在育种计划中有效利用。为了更好地了解常见豆类的遗传变异,首先和最重要的步骤是研究其遗传多样性。在本调查中,使用23个SSR评估了从Chammu和Kashmir的各个地区收集的常见豆类收集的常见豆类基因型,代表该地区的主要共同豆生长区域,是23个SSR。发现这些SSR具有高度多态性,并且具有高值的各种参数,表明其高辨别力。观察到的平均照片为0.692,随着平均基因分集值0.730,0.267作为杂合子。二十三个SSRS共产生了251个等位基因。使用未加权邻居加入聚类分析将基因型分组为三个主要集群,在簇中进行各种程度的子聚类。使用23 SSR标记的基于模型的结构分析鉴定了具有3个次群的群体,其对应于亚群内平均f(ST)值和0.1497和0.6696的平均f(ST)值和预期杂合子的基于距离的分组,因此在人口中观察到高水平的遗传多样性。此外,核心猎人II用于识别96种不同基因型的核心组。该核心多样化的96个基因型是关联映射研究的潜在资源,可以由育种者作为一种材料来制造所需的遗传交叉以产生精英品种,以实现全球市场需求。这些调查结果对共同的豆类繁殖以及保护计划具有进一步的影响。

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