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Genetic Diversity Analysis of Peach [Prunus persica (L.) Batsch] Varieties Using SSR Markers

Jee-Hwa Hong1*, Seung-In Yi2, Yong-Sham Kwon1, Young Kim3, and Keun-Jin Choi1
Korean. J. Breed. Sci. 2013;45(3):201-211.
Published online: September 30, 2013
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The objective of this study was to evaluate genetic diversity in 72 major peach varieties by using SSR markers. Aset of 189 SSR primer pairs was screened and 74 primer pairs showed polymorphism in 9 varieties. Twenty primer pairs outof 74 primer pairs showed clear band pattern and repetitive reproducibility. The relationship between 20 markers genotypes and72 varieties was analyzed. A total of 71 polymorphic amplified fragments were obtained by using 20 SSR markers. Two to nineSSR alleles were detected for each locus with an average of 3.6 alleles per locus. Average polymorphism information content(PIC) was 0.523, ranging from 0.246 to 0.771. A total of 71 marker loci were used to calculate Jaccard’s distance coefficientsfor cluster analysis using UPGMA. Clustering group was largely divided 2 groups according to absence or presence ofpubescence on the fruit surface and genetic distance of cluster ranging from 0.39 to 1.00. Analysis of genetic diversity revealedthat these 20 SSR marker sets discriminated a total of 68 varieties except for 4 mutant varieties among 72 varieties. These SSRmarkers will be utilized as molecular evidence in variety identification of peach.

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Genetic Diversity Analysis of Peach [Prunus persica (L.) Batsch] Varieties Using SSR Markers
Korean. J. Breed. Sci.. 2013;45(3):201-211.   Published online September 30, 2013
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

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Include:
Genetic Diversity Analysis of Peach [Prunus persica (L.) Batsch] Varieties Using SSR Markers
Korean. J. Breed. Sci.. 2013;45(3):201-211.   Published online September 30, 2013
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