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Identification and DUS Testing of Rice Varieties through Microsatellite Markers

机译:通过微卫星标记鉴定和DUS检测水稻品种

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Identification and registration of new rice varieties are very important to be free from environmental effects and using molecular markers that are more reliable. The objectives of this study were, first, the identification and distinction of 40 ricevarieties consisting of local varieties of Iran, improved varieties, and IRRI varieties using PIC, and discriminating power, second, cluster analysis based on Dice similarity coefficient and UPGMA algorithm, and, third, determining the ability of microsatellite markers to separate varieties utilizing the best combination of markers. For this research, 12 microsatellite markers were used. In total, 83 polymorphic alleles (6.91 alleles per locus) were found. In addition, the variation of PIC was calculated from 0.52 to 0.9. The results of cluster analysis showed the complete discrimination of varieties from each other except for IR58025A and IR58025B. Moreover, cluster analysis could detect the most of the improved varieties from local varieties. Based on the best combination of markers analysis, five pair primers together have shown the same results of all markers for detection among all varieties. Considering the results of this research, we can propose that microsatellite markers can be used as a complementary tool for morphological characteristics in DUS tests.
机译:鉴定和注册新水稻品种对于避免受到环境影响并使用更可靠的分子标记非常重要。这项研究的目的是,首先,利用PIC识别和区分伊朗的地方品种,改良品种和IRRI品种的40个水稻品种,并进行判别力;其次,基于骰子相似系数和UPGMA算法进行聚类分析;以及第三,利用最佳标记组合确定微卫星标记分离品种的能力。在这项研究中,使用了12个微卫星标记。总共发现了83个多态等位基因(每个位点为6.91个等位基因)。另外,PIC的变化被计算为0.52至0.9。聚类分析的结果表明,除了IR58025A和IR58025B之外,其他品种完全相互区分。此外,聚类分析可以从本地品种中检测出大多数改良品种。根据标记物分析的最佳组合,五对引物一起显示了所有标记物中所有标记物的相同检测结果。考虑到这项研究的结果,我们可以建议微卫星标记可以用作DUS测试中形态特征的补充工具。

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