A HIGH GENETIC SIMILARITY AMONG THE SELECTED MANGO (MANGIFERA INDICA L.) GENOTYPES-CULTIVARS DEMONSTRATED BY SSR FINGERPRINTING ASSAY

I. A. Rajwana, T. Shaheen, A. U. Malik, A. Khan, Mahmood-Ur-Rahman, M. A. Iqbal, Y. Zafar, Mehboob-ur-Rahman
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Abstract

Mango (Mangifera indica L.) is one of the most important fruit crops worldwide. Mango has a long history of cultivation in Indo-Pak region which resulted in the development of novel regional germplasm as well as many famous mango cultivars. For sustaining the mango production especially in the present scenario of changing climate, it is important to characterize and estimate the genetic divergence among the mango genotypes-cultivars germplasm. To the extent of our knowledge, little efforts have been made to explore the magnitude of genetic divergence among the mango genotypescultivars. In this study, the genetic diversity assessments among 32 including 25 local and 7 exotic genotype-cultivars have been calculated using thirty-five simple sequence repeat (SSR) markers. The most informative primer was found Micir-6 while the polymorphism information content (PIC) value of all SSRs was found low, i.e., 0.168 0.5. Genetic diversity ranged from 15% to 47% among cultivars with a mean value 30%. The dissimilarity coefficients based unweighted pair group of arithmetic means (UPGMA) was used to make clusters. Mostly East Indian, North Indian and Pakistani cultivars were grouped in one cluster while South Indian and Florida cultivars in other according to the dendogram. The present study would help in taking proactive decision to buffer the spread of any epidemics and will also be helpful in initiating marker-assisted breeding program for developing cultivars with excellent genetics.
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所选芒果(mangifera indica l .)的遗传相似性较高。SSR指纹图谱鉴定的品种
芒果(Mangifera indica L.)是全球最重要的水果作物之一。芒果在印巴地区有着悠久的种植历史,这导致了新的区域种质的开发和许多著名的芒果品种。为了在当前气候变化的情况下维持芒果的生产,对芒果基因型-品种种质间的遗传分化进行表征和估计是非常重要的。就我们所知,很少有人努力探索芒果基因型品种之间遗传差异的程度。本研究利用35个SSR标记对25个本地品种和7个外来品种进行了遗传多样性评价。引物Micir-6的多态性信息含量(PIC)较低,为0.168 - 0.5。品种间遗传多样性为15% ~ 47%,平均值为30%。采用基于不相似系数的非加权对群算法(UPGMA)聚类。根据树形图,大多数东印度、北印度和巴基斯坦品种被归为一个集群,而南印度和佛罗里达品种被归为另一个集群。本研究将有助于采取前瞻性的决策,以缓冲任何流行病的传播,也将有助于启动标记辅助育种计划,以开发具有优良遗传的品种。
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