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首页> 外文期刊>American Journal of Plant Sciences >Genetic Diversity in &i&Jatropha platyphylla&/i& Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers
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Genetic Diversity in &i&Jatropha platyphylla&/i& Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

机译:遗传多样性在& i& jatropha platyphylla& l; / i& 基于形态学性状和简单序列的进程重复分子标记

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摘要

Seven accessions of Jatropha platyphylla were evaluated for their phenotypic traits and genetic diversity using inter-simple sequence repeats (ISSRs). Cluster analyses with nine traits were performed: number of branches per plant; fruit per bunch; bunch per branch; bunch per plant; total seed production; total fruit production, protein content, oil content, and fatty acid profile. Genotypes from Rosario, Sinaloa, Mexico (PR11) yielded the highest values in all traits. The correlation analysis of the quantitative traits showed high correlations between seed and total fruit production (r = 0.99). Unsaturated linoleic acid was the most abundant fatty acid (57.64% - 52.39%). Within a genetic improvement program, two of the most important variables to be considered are oil content and phenotypic characteristics of the plant. J . platyphylla has shown viable selection traits that provide a possibility of producing interspecies hybrids and giving them added value. ISSRs primers generated variable banding patterns that were found to be polymorphic; the polymorphic information content (PIC) of these loci ranged from 0.21 to 0.45 with an average of 0.34. The unweighted pair group method (UPGMA) cluster analysis of the data showed the formation of three groups, where the most divergent accession pair was the genotype from Quelite (QP11) and Rosario (PR11).
机译:使用简单的序列重复(ISSRS)对其表型性状和遗传多样性进行评估七种探讨的麻醉剂 platyphylla。进行九种特征的聚类分析:每株植物的分支数量;每束水果;每分支束;每株植物;种子总产量;果实产量总计,蛋白质含量,油含量和脂肪酸谱。来自Rosario,Sinaloa,墨西哥(PR11)的基因型产生了所有特征的最高值。定量性状的相关分析显示种子和总果实生产之间的高相关(R = 0.99)。不饱和亚油酸是最丰富的脂肪酸(57.64% - 52.39%)。在遗传改进计划中,待考虑的两种最重要的变量是植物的油含量和表型特征。 j。 Platyphylla显示了可行的选择特征,提供了产生杂种的可能性并给予它们附加值。 ISSRS引物产生的可变条纹图案被发现是多态的;这些基因座的多态性信息含量(PIC)的范围为0.21至0.45,平均为0.34。数据的未加权对组方法(UPGMA)对数据的聚类分析显示了三组的形成,其中最分歧的加入对是来自Quelite(QP11)和Rosario(PR11)的基因型。

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