The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1996-09

AUTHORS

Wayne Powell, Michele Morgante, Chaz Andre, Michael Hanafey, Julie Vogel, Scott Tingey, Antoni Rafalski

ABSTRACT

The utility of RFLP (restriction fragment length polymorphism), RAPD (random-amplified polymorphic DNA), AFLP (amplified fragment length polymorphism) and SSR (simple sequence repeat, microsatellite) markers in soybean germplasm analysis was determined by evaluating information content (expected heterozygosity), number of loci simultaneously analyzed per experiment (multiplex ratio) and effectiveness in assessing relationships between accessions. SSR markers have the highest expected heterozygosity (0.60), while AFLP markers have the highest effective multiplex ratio (19). A single parameter, defined as the marker index, which is the product of expected heterozygosity and multiplex ratio, may be used to evaluate overall utility of a marker system. A comparison of genetic similarity matrices revealed that, if the comparison involved both cultivated (Glycine max) and wild soybean (Glycine soja) accessions, estimates based on RFLPs, AFLPs and SSRs are highly correlated, indicating congruence between these assays. However, correlations of RAPD marker data with those obtained using other marker systems were lower. This is because RAPDs produce higher estimates of interspecific similarities. If the comparisons involvedG. max only, then overall correlations between marker systems are significantly lower. WithinG. max, RAPD and AFLP similarity estimates are more closely correlated than those involving other marker systems. More... »

PAGES

225-238

References to SciGraph publications

  • 1994-03. Comparison of RAPD and RFLP genetic markers in determining genetic similarity among Brassica oleracea L. genotypes in THEORETICAL AND APPLIED GENETICS
  • 1993-10. Abundance, polymorphism and genetic mapping of microsatellites in rice in MOLECULAR GENETICS AND GENOMICS
  • 1993-10. Comparison of allozyme, RFLP, and RAPD markers for revealing genetic variation within and between trembling aspen and bigtooth aspen in THEORETICAL AND APPLIED GENETICS
  • 1986-08. Cryptic simplicity in DNA is a major source of genetic variation in NATURE
  • 1994-03. Comparative analysis of microsatellite DNA polymorphism in landraces and cultivars of rice in MOLECULAR GENETICS AND GENOMICS
  • 1983-11. Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs in THEORETICAL AND APPLIED GENETICS
  • 1993-09. Microsatellite repeats in grapevine reveal DNA polymorphisms when analysed as sequence-tagged sites (STSs) in THEORETICAL AND APPLIED GENETICS
  • 1994. Random amplified polymorphic DNA (RAPD) markers in PLANT MOLECULAR BIOLOGY MANUAL
  • 1991-06. DNA Amplification Fingerprinting Using Very Short Arbitrary Oligonucleotide Primers in BIO/TECHNOLOGY
  • 1994-03. High resolution of human evolutionary trees with polymorphic microsatellites in NATURE
  • 1994-04. Evaluation of RFLP and RAPD markers in a comparison of Brassica napus breeding lines in THEORETICAL AND APPLIED GENETICS
  • 1994-09. DNA typing of grapevines: A universal methodology and database for describing cultivars and evaluating genetic relatedness in PLANT MOLECULAR BIOLOGY
  • 1987-07. The relationship between the concepts of genetic diversity and differentiation in THEORETICAL AND APPLIED GENETICS
  • 1970-08. Isozyme polymorphisms in natural populations of Avena fatua and A. barbata in HEREDITY
  • 1990-12. Similarities among a group of elite maize inbreds as measured by pedigree, F1 grain yield, grain yield, heterosis, and RFLPs in THEORETICAL AND APPLIED GENETICS
  • 1994-09. Comparison of RFLP and RAPD markers to estimating genetic relationships within and among cruciferous species in THEORETICAL AND APPLIED GENETICS
  • 1994. Nuclear DNA markers in systematics and evolution in DNA-BASED MARKERS IN PLANTS
  • 1995-01. The use of microsatellite DNA markers for soybean genotype identification in THEORETICAL AND APPLIED GENETICS
  • Journal

    TITLE

    Molecular Breeding

    ISSUE

    3

    VOLUME

    2

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf00564200

    DOI

    http://dx.doi.org/10.1007/bf00564200

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045883721


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "DuPont (United States)", 
              "id": "https://www.grid.ac/institutes/grid.416832.a", 
              "name": [
                "Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Powell", 
            "givenName": "Wayne", 
            "id": "sg:person.01151365240.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151365240.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "DuPont (United States)", 
              "id": "https://www.grid.ac/institutes/grid.416832.a", 
              "name": [
                "Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Morgante", 
            "givenName": "Michele", 
            "id": "sg:person.01044267620.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044267620.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "DuPont (United States)", 
              "id": "https://www.grid.ac/institutes/grid.416832.a", 
              "name": [
                "Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Andre", 
            "givenName": "Chaz", 
            "id": "sg:person.013415457001.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013415457001.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "DuPont (United States)", 
              "id": "https://www.grid.ac/institutes/grid.416832.a", 
              "name": [
                "Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hanafey", 
            "givenName": "Michael", 
            "id": "sg:person.01030640214.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030640214.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "DuPont (United States)", 
              "id": "https://www.grid.ac/institutes/grid.416832.a", 
              "name": [
                "Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vogel", 
            "givenName": "Julie", 
            "id": "sg:person.011706267401.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706267401.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "DuPont (United States)", 
              "id": "https://www.grid.ac/institutes/grid.416832.a", 
              "name": [
                "Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tingey", 
            "givenName": "Scott", 
            "id": "sg:person.0757024502.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757024502.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "DuPont (United States)", 
              "id": "https://www.grid.ac/institutes/grid.416832.a", 
              "name": [
                "Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rafalski", 
            "givenName": "Antoni", 
            "id": "sg:person.0637161240.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637161240.27"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/hdy.1970.38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000626637", 
              "https://doi.org/10.1038/hdy.1970.38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.1970.38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000626637", 
              "https://doi.org/10.1038/hdy.1970.38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g94-053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001660857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.2.4.275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002860857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.76.10.5269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002874048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00225784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005630209", 
              "https://doi.org/10.1007/bf00225784"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00014668", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009372938", 
              "https://doi.org/10.1007/bf00014668"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00014668", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009372938", 
              "https://doi.org/10.1007/bf00014668"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g94-109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013106788"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-294x.1995.tb00203.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014271882"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/322652a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015060706", 
              "https://doi.org/10.1038/322652a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/12.10.4127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015628273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00283266", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017536809", 
              "https://doi.org/10.1007/bf00283266"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0167-7799(92)90212-e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018373930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0167-7799(92)90212-e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018373930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00220804", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021103909", 
              "https://doi.org/10.1007/bf00220804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0691-553", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021105138", 
              "https://doi.org/10.1038/nbt0691-553"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-9525(93)90013-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021314250"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00211051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021518450", 
              "https://doi.org/10.1007/bf00211051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00211051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021518450", 
              "https://doi.org/10.1007/bf00211051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/18.22.6531", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022940325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00222404", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023340453", 
              "https://doi.org/10.1007/bf00222404"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.101.2.349", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023369329"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.91.12.5466", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025440938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/17.16.6463", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027589315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0076-6879(93)18053-f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028325497"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00274724", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029567774", 
              "https://doi.org/10.1007/bf00274724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00274724", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029567774", 
              "https://doi.org/10.1007/bf00274724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00223752", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031886763", 
              "https://doi.org/10.1007/bf00223752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/18.24.7213", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032914011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00280220", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034057437", 
              "https://doi.org/10.1007/bf00280220"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00280220", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034057437", 
              "https://doi.org/10.1007/bf00280220"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0888-7543(91)90175-e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036577116"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/geno.1994.1023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037198456"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-0511-8_27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038063548", 
              "https://doi.org/10.1007/978-94-011-0511-8_27"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/19.25.7155", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041486758"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g93-116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041791688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.70.12.3321", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042233071"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/368455a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046878300", 
              "https://doi.org/10.1038/368455a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-012101285-4/50005-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047179770"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-313x.1993.t01-9-00999.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047228552"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.90.4.1335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048640788"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00303919", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048837662", 
              "https://doi.org/10.1007/bf00303919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00224201", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049060617", 
              "https://doi.org/10.1007/bf00224201"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-1104-1_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049777897", 
              "https://doi.org/10.1007/978-94-011-1104-1_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-1104-1_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049777897", 
              "https://doi.org/10.1007/978-94-011-1104-1_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00220994", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052494655", 
              "https://doi.org/10.1007/bf00220994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/1.9.663", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059644013"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.1993.tb00020.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061930059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2135/cropsci1983.0011183x002300050031x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069019818"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075816195", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1076590599", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077141241", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079453119", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1081518966", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1081643579", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2135/cssaspecpub17.c9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1088346040"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2134/agronmonogr18.3ed.c3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1088354978"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1996-09", 
        "datePublishedReg": "1996-09-01", 
        "description": "The utility of RFLP (restriction fragment length polymorphism), RAPD (random-amplified polymorphic DNA), AFLP (amplified fragment length polymorphism) and SSR (simple sequence repeat, microsatellite) markers in soybean germplasm analysis was determined by evaluating information content (expected heterozygosity), number of loci simultaneously analyzed per experiment (multiplex ratio) and effectiveness in assessing relationships between accessions. SSR markers have the highest expected heterozygosity (0.60), while AFLP markers have the highest effective multiplex ratio (19). A single parameter, defined as the marker index, which is the product of expected heterozygosity and multiplex ratio, may be used to evaluate overall utility of a marker system. A comparison of genetic similarity matrices revealed that, if the comparison involved both cultivated (Glycine max) and wild soybean (Glycine soja) accessions, estimates based on RFLPs, AFLPs and SSRs are highly correlated, indicating congruence between these assays. However, correlations of RAPD marker data with those obtained using other marker systems were lower. This is because RAPDs produce higher estimates of interspecific similarities. If the comparisons involvedG. max only, then overall correlations between marker systems are significantly lower. WithinG. max, RAPD and AFLP similarity estimates are more closely correlated than those involving other marker systems.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf00564200", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1114043", 
            "issn": [
              "1380-3743", 
              "1572-9788"
            ], 
            "name": "Molecular Breeding", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "2"
          }
        ], 
        "name": "The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis", 
        "pagination": "225-238", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "da908eacc80e93bf2f01ebd69a95206cc54760098ae874cd7ad12c368b4fa07c"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf00564200"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1045883721"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf00564200", 
          "https://app.dimensions.ai/details/publication/pub.1045883721"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T14:01", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130829_00000004.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/BF00564200"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/bf00564200'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf00564200'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00564200'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00564200'


     

    This table displays all metadata directly associated to this object as RDF triples.

    268 TRIPLES      21 PREDICATES      78 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf00564200 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N5257381ddc7c4c2db40bb9451ec9a9b5
    4 schema:citation sg:pub.10.1007/978-94-011-0511-8_27
    5 sg:pub.10.1007/978-94-011-1104-1_6
    6 sg:pub.10.1007/bf00014668
    7 sg:pub.10.1007/bf00211051
    8 sg:pub.10.1007/bf00220804
    9 sg:pub.10.1007/bf00220994
    10 sg:pub.10.1007/bf00222404
    11 sg:pub.10.1007/bf00223752
    12 sg:pub.10.1007/bf00224201
    13 sg:pub.10.1007/bf00225784
    14 sg:pub.10.1007/bf00274724
    15 sg:pub.10.1007/bf00280220
    16 sg:pub.10.1007/bf00283266
    17 sg:pub.10.1007/bf00303919
    18 sg:pub.10.1038/322652a0
    19 sg:pub.10.1038/368455a0
    20 sg:pub.10.1038/hdy.1970.38
    21 sg:pub.10.1038/nbt0691-553
    22 https://app.dimensions.ai/details/publication/pub.1075816195
    23 https://app.dimensions.ai/details/publication/pub.1076590599
    24 https://app.dimensions.ai/details/publication/pub.1077141241
    25 https://app.dimensions.ai/details/publication/pub.1079453119
    26 https://app.dimensions.ai/details/publication/pub.1081518966
    27 https://app.dimensions.ai/details/publication/pub.1081643579
    28 https://doi.org/10.1006/geno.1994.1023
    29 https://doi.org/10.1016/0076-6879(93)18053-f
    30 https://doi.org/10.1016/0167-7799(92)90212-e
    31 https://doi.org/10.1016/0168-9525(93)90013-8
    32 https://doi.org/10.1016/0888-7543(91)90175-e
    33 https://doi.org/10.1016/b978-012101285-4/50005-9
    34 https://doi.org/10.1046/j.1365-313x.1993.t01-9-00999.x
    35 https://doi.org/10.1073/pnas.70.12.3321
    36 https://doi.org/10.1073/pnas.76.10.5269
    37 https://doi.org/10.1073/pnas.90.4.1335
    38 https://doi.org/10.1073/pnas.91.12.5466
    39 https://doi.org/10.1093/hmg/1.9.663
    40 https://doi.org/10.1093/nar/12.10.4127
    41 https://doi.org/10.1093/nar/17.16.6463
    42 https://doi.org/10.1093/nar/18.22.6531
    43 https://doi.org/10.1093/nar/18.24.7213
    44 https://doi.org/10.1093/nar/19.25.7155
    45 https://doi.org/10.1101/gr.2.4.275
    46 https://doi.org/10.1104/pp.101.2.349
    47 https://doi.org/10.1111/j.1365-294x.1995.tb00203.x
    48 https://doi.org/10.1111/j.1365-313x.1993.tb00020.x
    49 https://doi.org/10.1139/g93-116
    50 https://doi.org/10.1139/g94-053
    51 https://doi.org/10.1139/g94-109
    52 https://doi.org/10.2134/agronmonogr18.3ed.c3
    53 https://doi.org/10.2135/cropsci1983.0011183x002300050031x
    54 https://doi.org/10.2135/cssaspecpub17.c9
    55 schema:datePublished 1996-09
    56 schema:datePublishedReg 1996-09-01
    57 schema:description The utility of RFLP (restriction fragment length polymorphism), RAPD (random-amplified polymorphic DNA), AFLP (amplified fragment length polymorphism) and SSR (simple sequence repeat, microsatellite) markers in soybean germplasm analysis was determined by evaluating information content (expected heterozygosity), number of loci simultaneously analyzed per experiment (multiplex ratio) and effectiveness in assessing relationships between accessions. SSR markers have the highest expected heterozygosity (0.60), while AFLP markers have the highest effective multiplex ratio (19). A single parameter, defined as the marker index, which is the product of expected heterozygosity and multiplex ratio, may be used to evaluate overall utility of a marker system. A comparison of genetic similarity matrices revealed that, if the comparison involved both cultivated (Glycine max) and wild soybean (Glycine soja) accessions, estimates based on RFLPs, AFLPs and SSRs are highly correlated, indicating congruence between these assays. However, correlations of RAPD marker data with those obtained using other marker systems were lower. This is because RAPDs produce higher estimates of interspecific similarities. If the comparisons involvedG. max only, then overall correlations between marker systems are significantly lower. WithinG. max, RAPD and AFLP similarity estimates are more closely correlated than those involving other marker systems.
    58 schema:genre research_article
    59 schema:inLanguage en
    60 schema:isAccessibleForFree false
    61 schema:isPartOf N0b014cd212ec4d92a359a29a7871a44d
    62 Ne66e18e67ba5451ba038009bf5ee9fad
    63 sg:journal.1114043
    64 schema:name The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis
    65 schema:pagination 225-238
    66 schema:productId N292cc809133340259105b031c6d4b177
    67 Nbef4f3dc2df54a64b2049222de8aedad
    68 Nd3f0f427fd9d40f2be480f3d86d1cb6e
    69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045883721
    70 https://doi.org/10.1007/bf00564200
    71 schema:sdDatePublished 2019-04-11T14:01
    72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    73 schema:sdPublisher N85e1e0067ae54a8ea552816986681506
    74 schema:url http://link.springer.com/10.1007/BF00564200
    75 sgo:license sg:explorer/license/
    76 sgo:sdDataset articles
    77 rdf:type schema:ScholarlyArticle
    78 N0b014cd212ec4d92a359a29a7871a44d schema:volumeNumber 2
    79 rdf:type schema:PublicationVolume
    80 N2165a261b92c4d4da5480781f0345599 rdf:first sg:person.0637161240.27
    81 rdf:rest rdf:nil
    82 N292cc809133340259105b031c6d4b177 schema:name dimensions_id
    83 schema:value pub.1045883721
    84 rdf:type schema:PropertyValue
    85 N5257381ddc7c4c2db40bb9451ec9a9b5 rdf:first sg:person.01151365240.44
    86 rdf:rest Nd61a3113ac564dde83bef38bab42f77f
    87 N6a0683d681834a93a088559753c73cdc rdf:first sg:person.0757024502.46
    88 rdf:rest N2165a261b92c4d4da5480781f0345599
    89 N85e1e0067ae54a8ea552816986681506 schema:name Springer Nature - SN SciGraph project
    90 rdf:type schema:Organization
    91 N86da4b1b40c14ffb8fb7568021bfef6b rdf:first sg:person.013415457001.44
    92 rdf:rest Nb46cef4c9b944a929fd53aeca8212126
    93 Nb46cef4c9b944a929fd53aeca8212126 rdf:first sg:person.01030640214.61
    94 rdf:rest Nbf99c17de0f74e29bf3fe8573aaa9346
    95 Nbef4f3dc2df54a64b2049222de8aedad schema:name doi
    96 schema:value 10.1007/bf00564200
    97 rdf:type schema:PropertyValue
    98 Nbf99c17de0f74e29bf3fe8573aaa9346 rdf:first sg:person.011706267401.10
    99 rdf:rest N6a0683d681834a93a088559753c73cdc
    100 Nd3f0f427fd9d40f2be480f3d86d1cb6e schema:name readcube_id
    101 schema:value da908eacc80e93bf2f01ebd69a95206cc54760098ae874cd7ad12c368b4fa07c
    102 rdf:type schema:PropertyValue
    103 Nd61a3113ac564dde83bef38bab42f77f rdf:first sg:person.01044267620.47
    104 rdf:rest N86da4b1b40c14ffb8fb7568021bfef6b
    105 Ne66e18e67ba5451ba038009bf5ee9fad schema:issueNumber 3
    106 rdf:type schema:PublicationIssue
    107 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    108 schema:name Biological Sciences
    109 rdf:type schema:DefinedTerm
    110 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    111 schema:name Genetics
    112 rdf:type schema:DefinedTerm
    113 sg:journal.1114043 schema:issn 1380-3743
    114 1572-9788
    115 schema:name Molecular Breeding
    116 rdf:type schema:Periodical
    117 sg:person.01030640214.61 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
    118 schema:familyName Hanafey
    119 schema:givenName Michael
    120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030640214.61
    121 rdf:type schema:Person
    122 sg:person.01044267620.47 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
    123 schema:familyName Morgante
    124 schema:givenName Michele
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044267620.47
    126 rdf:type schema:Person
    127 sg:person.01151365240.44 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
    128 schema:familyName Powell
    129 schema:givenName Wayne
    130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151365240.44
    131 rdf:type schema:Person
    132 sg:person.011706267401.10 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
    133 schema:familyName Vogel
    134 schema:givenName Julie
    135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706267401.10
    136 rdf:type schema:Person
    137 sg:person.013415457001.44 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
    138 schema:familyName Andre
    139 schema:givenName Chaz
    140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013415457001.44
    141 rdf:type schema:Person
    142 sg:person.0637161240.27 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
    143 schema:familyName Rafalski
    144 schema:givenName Antoni
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637161240.27
    146 rdf:type schema:Person
    147 sg:person.0757024502.46 schema:affiliation https://www.grid.ac/institutes/grid.416832.a
    148 schema:familyName Tingey
    149 schema:givenName Scott
    150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757024502.46
    151 rdf:type schema:Person
    152 sg:pub.10.1007/978-94-011-0511-8_27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038063548
    153 https://doi.org/10.1007/978-94-011-0511-8_27
    154 rdf:type schema:CreativeWork
    155 sg:pub.10.1007/978-94-011-1104-1_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049777897
    156 https://doi.org/10.1007/978-94-011-1104-1_6
    157 rdf:type schema:CreativeWork
    158 sg:pub.10.1007/bf00014668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009372938
    159 https://doi.org/10.1007/bf00014668
    160 rdf:type schema:CreativeWork
    161 sg:pub.10.1007/bf00211051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021518450
    162 https://doi.org/10.1007/bf00211051
    163 rdf:type schema:CreativeWork
    164 sg:pub.10.1007/bf00220804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021103909
    165 https://doi.org/10.1007/bf00220804
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1007/bf00220994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052494655
    168 https://doi.org/10.1007/bf00220994
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/bf00222404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023340453
    171 https://doi.org/10.1007/bf00222404
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1007/bf00223752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031886763
    174 https://doi.org/10.1007/bf00223752
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1007/bf00224201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049060617
    177 https://doi.org/10.1007/bf00224201
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1007/bf00225784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005630209
    180 https://doi.org/10.1007/bf00225784
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1007/bf00274724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029567774
    183 https://doi.org/10.1007/bf00274724
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1007/bf00280220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034057437
    186 https://doi.org/10.1007/bf00280220
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1007/bf00283266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017536809
    189 https://doi.org/10.1007/bf00283266
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1007/bf00303919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048837662
    192 https://doi.org/10.1007/bf00303919
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1038/322652a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015060706
    195 https://doi.org/10.1038/322652a0
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1038/368455a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046878300
    198 https://doi.org/10.1038/368455a0
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1038/hdy.1970.38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000626637
    201 https://doi.org/10.1038/hdy.1970.38
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1038/nbt0691-553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021105138
    204 https://doi.org/10.1038/nbt0691-553
    205 rdf:type schema:CreativeWork
    206 https://app.dimensions.ai/details/publication/pub.1075816195 schema:CreativeWork
    207 https://app.dimensions.ai/details/publication/pub.1076590599 schema:CreativeWork
    208 https://app.dimensions.ai/details/publication/pub.1077141241 schema:CreativeWork
    209 https://app.dimensions.ai/details/publication/pub.1079453119 schema:CreativeWork
    210 https://app.dimensions.ai/details/publication/pub.1081518966 schema:CreativeWork
    211 https://app.dimensions.ai/details/publication/pub.1081643579 schema:CreativeWork
    212 https://doi.org/10.1006/geno.1994.1023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037198456
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1016/0076-6879(93)18053-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1028325497
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1016/0167-7799(92)90212-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1018373930
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1016/0168-9525(93)90013-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021314250
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1016/0888-7543(91)90175-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1036577116
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1016/b978-012101285-4/50005-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047179770
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1046/j.1365-313x.1993.t01-9-00999.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047228552
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1073/pnas.70.12.3321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042233071
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1073/pnas.76.10.5269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002874048
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1073/pnas.90.4.1335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048640788
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1073/pnas.91.12.5466 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025440938
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1093/hmg/1.9.663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059644013
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1093/nar/12.10.4127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015628273
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1093/nar/17.16.6463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027589315
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1093/nar/18.22.6531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022940325
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1093/nar/18.24.7213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032914011
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1093/nar/19.25.7155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041486758
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1101/gr.2.4.275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002860857
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1104/pp.101.2.349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023369329
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1111/j.1365-294x.1995.tb00203.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014271882
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1111/j.1365-313x.1993.tb00020.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1061930059
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1139/g93-116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041791688
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1139/g94-053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001660857
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1139/g94-109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013106788
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.2134/agronmonogr18.3ed.c3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088354978
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.2135/cropsci1983.0011183x002300050031x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069019818
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.2135/cssaspecpub17.c9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088346040
    265 rdf:type schema:CreativeWork
    266 https://www.grid.ac/institutes/grid.416832.a schema:alternateName DuPont (United States)
    267 schema:name Biotechnology Research, Agricultural Products Department, E.I. du Pont de Nemours and Co (Inc.), Experimental Station, P.O.Box 80402, 19880-0402, Wilmington, DE, USA
    268 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...