首页> 外文期刊>Iranian journal of science and technology >Genetic Diversity, Population Structure and Screening of Molecular Markers Associated to Agronomic Traits in Safflower (Carthamus tinctorius L.)
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Genetic Diversity, Population Structure and Screening of Molecular Markers Associated to Agronomic Traits in Safflower (Carthamus tinctorius L.)

机译:遗传多样性,人口结构和红花农艺性状相关的分子标记筛选(Carthamus Tinctorius L.)

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摘要

Diversity and also the molecular analysis of genotypes and association analysis among molecular markers and quantitative traits are the important methods in breeding programs. In this study, 30 safflower genotypes were evaluated in the research farm of the Graduate University of Advanced Technology, Kerman, Iran based on randomized complete block design with three replications. The phenotypic and agronomic traits were evaluated and, also, these genotypes were studied with 24 start codon targeted polymorphism (SCoT) and 10 inter-simple sequence repeat (ISSR) markers at the molecular level. The differences among genotypes were significant for the studied traits based on analysis of variance. The genotypes divided into three groups by using cluster analysis based on quantitative traits. Cluster analysis method by Jaccard's similarity coefficient as well as Bayesian statistical method based on molecular data classified genotypes into two groups. The molecular variance analysis showed that diversity among populations is much more than within populations. Nineteen and thirty one gene loci had identified by (G + P + K) and (G + P + K + Q) of mixed linear model for the studied traits, and some of these loci were the same in two models. Some of these markers controlled several traits that named co-location markers, so these markers are effective in plant breeding programs. The SCoT and ISSR markers can be developed as the sequence-tagged site markers and used in marker-assisted selection and breeding programs of safflower genotypes when they linked to agronomic traits.
机译:多样性以及分子标志物基因型和关联分析的分子分析以及定量性状的分析是育种计划中的重要方法。在本研究中,基于三个复制的随机完整块设计,在伊朗研究生大学研究生中评估了30个红花基因型。评估表型和农艺性状,并且还使用24起起始密码子靶向多态性(SCOT)和10个单纯性序列重复(ISSR)标记进行了这些基因型。基因型之间的差异对于基于方差分析的研究性的性状是显着的。基因型通过使用基于定量性状的聚类分析分为三组。基于分子数据分类基因型的Jaccard的相似系数以及贝叶斯统计方法分为两组的聚类分析方法。分子方差分析表明,种群之间的多样性远远超过人群。 1919,1基因座(G + P + K)和(G + P + k + Q)的混合线性模型用于研究的特性,其中一些基因座在两种模型中相同。其中一些标记控制了几个命名的共同位置标记的特征,因此这些标记在植物育种计划中是有效的。苏格兰和ISSR标记可以作为序列标记的网站标记开发,并在与农艺性状相关时用于红花基因型的标记辅助选择和育种程序。

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