Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources

The SSR profiles of 67 soybean genotypes of various origins have been detected by 188 alleles at the 18 SSR loci. From 4 to 21 alleles were found at each of these loci (average 10.4 per locus) and the gene diversity averaged 0.71. Differentiation of all 67 genotypes each from others has been success...

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Main Authors: M. Hudcovicová, J. Kraic
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2003-12-01
Series:Czech Journal of Genetics and Plant Breeding
Subjects:
Online Access:https://cjgpb.agriculturejournals.cz/artkey/cjg-200304-0004_utilisation-of-ssrs-for-characterisation-of-the-soybean-glycine-max-l-merr-genetic-resources.php
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author M. Hudcovicová
J. Kraic
author_facet M. Hudcovicová
J. Kraic
author_sort M. Hudcovicová
collection DOAJ
description The SSR profiles of 67 soybean genotypes of various origins have been detected by 188 alleles at the 18 SSR loci. From 4 to 21 alleles were found at each of these loci (average 10.4 per locus) and the gene diversity averaged 0.71. Differentiation of all 67 genotypes each from others has been successful by using of even only 6 of SSR markers (Sat001, Satt005, Satt038, Satt173, Satt177, Satt534) with gene diversity from 0.66 to 0.89. The cumulated probability of obtaining identical soybean SSR profile was 1.11 × 10-9 , which confirms a high potential of SSRs for differentiation of soybean accessions in collections. Clustering of genotypes partially reflects origin and pedigree of analysed soybean accessions.
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spelling doaj.art-a22cb4d6ce5e425eb2ee22d5360a0ba42023-02-23T03:28:57ZengCzech Academy of Agricultural SciencesCzech Journal of Genetics and Plant Breeding1212-19751805-93252003-12-0139412012610.17221/3729-CJGPBcjg-200304-0004Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic ResourcesM. Hudcovicová0J. Kraic1Division of Applied Genetics and Breeding, Research Institute of Plant Production, Piešťany, Slovak RepublicDivision of Applied Genetics and Breeding, Research Institute of Plant Production, Piešťany, Slovak RepublicThe SSR profiles of 67 soybean genotypes of various origins have been detected by 188 alleles at the 18 SSR loci. From 4 to 21 alleles were found at each of these loci (average 10.4 per locus) and the gene diversity averaged 0.71. Differentiation of all 67 genotypes each from others has been successful by using of even only 6 of SSR markers (Sat001, Satt005, Satt038, Satt173, Satt177, Satt534) with gene diversity from 0.66 to 0.89. The cumulated probability of obtaining identical soybean SSR profile was 1.11 × 10-9 , which confirms a high potential of SSRs for differentiation of soybean accessions in collections. Clustering of genotypes partially reflects origin and pedigree of analysed soybean accessions.https://cjgpb.agriculturejournals.cz/artkey/cjg-200304-0004_utilisation-of-ssrs-for-characterisation-of-the-soybean-glycine-max-l-merr-genetic-resources.phpsoybeanglycine max (l.) merr.microsatellitegenetic diversity
spellingShingle M. Hudcovicová
J. Kraic
Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources
Czech Journal of Genetics and Plant Breeding
soybean
glycine max (l.) merr.
microsatellite
genetic diversity
title Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources
title_full Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources
title_fullStr Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources
title_full_unstemmed Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources
title_short Utilisation of SSRs for Characterisation of the Soybean (Glycine max (L.) Merr.) Genetic Resources
title_sort utilisation of ssrs for characterisation of the soybean glycine max l merr genetic resources
topic soybean
glycine max (l.) merr.
microsatellite
genetic diversity
url https://cjgpb.agriculturejournals.cz/artkey/cjg-200304-0004_utilisation-of-ssrs-for-characterisation-of-the-soybean-glycine-max-l-merr-genetic-resources.php
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