Assess the Degree of Genetic Divergence among Sixteen Complex Genetically Wheat Bread using Indicators SSR

M. S. Hamdalla
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Abstract

A laboratory study was carried out to; (1) identify the efficient primer(s) which be used to detect alleles,(2) estimate the degree of diversity among the studied genotypes, and (3) determinate the suitable genotypes which show high degree of diversity in order to improve the economic characters for the local genotypes. The present study was conduct at Nebraska University/ Field Crop & Horticulture Department during summer season 2013. Ten selected simple sequence repeat (SSR) marker sets were evaluated in a total of sixteen accessions of bread wheat (Triticum aestivum), twelve of which have been introduced from Mexico, two from USA and two are local genotypes (Latifya and Ibah 95).All the 10 markers were polymorphic and produced 45 alleles (average 4.5). The gmw480marker had the higher percentage of frequency, whilexgwm132 and gmw32 markers had the lowest percentage of frequency, therefore they showed high efficient in categorizing the genotypes studied. The PIC values were 0.32 for gmw480 and 0.99 for xgwm132 & gmw32markers (average 0.86). The dissimilarity coefficient (diversity) ranged between 0.20.99(average 0.80). The highest dissimilarity coefficient for the introduced genotypes was 0.97 for BW49398 genotype while the lowest value was 0.71 for CW15-6732 genotype. According to the cluster analysis, the studied genotypes distributed into two major groups. The group I and II consist of four and three sub-groups respectively. A recommendation was made to take advantage of the divergent genotypes in the breeding program. Keyword: Wheat, SSR, Divergence.
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利用SSR指标评价16个复合遗传小麦面包的遗传分化程度
进行了一项实验室研究;(1)确定用于检测等位基因的有效引物;(2)估计所研究基因型之间的多样性程度;(3)确定具有高度多样性的合适基因型,以提高本地基因型的经济性状。本研究于2013年夏季在内布拉斯加州大学大田作物与园艺系进行。对16份面包小麦(Triticum aestivum)进行了10个SSR标记,其中12份来自墨西哥,2份来自美国,2份来自当地基因型(Latifya和Ibah 95)。10个标记均具有多态性,共产生45个等位基因(平均4.5个)。gmw480标记的频率百分比较高,而gmw132和gmw32标记的频率百分比最低,因此它们对所研究的基因型分类效率较高。gmw480的PIC值为0.32,xgwm132和gmw32的PIC值为0.99(平均0.86)。差异系数(多样性)在0.20.99之间(平均0.80)。BW49398基因型的差异系数最高为0.97,CW15-6732基因型的差异系数最低为0.71。聚类分析表明,所研究的基因型可分为两大类。第一组和第二组分别由四个和三个子组组成。建议在育种计划中利用不同的基因型。关键词:小麦,SSR,分化
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