Assignment of allelic configuration in polyploids using the MAC-PR (microsatellite DNA allele counting—peak ratios) method View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-07

AUTHORS

G. D. Esselink, H. Nybom, B. Vosman

ABSTRACT

Polysomic inheritance frequently results in the simultaneous occurrence of several microsatellite DNA alleles on a single locus. The MAC-PR (microsatellite DNA allele counting-peak ratios) method was recently developed for the analysis of polyploid plants and makes use of the quantitative values for microsatellite allele peak areas. To date, this approach has only been used in plants with known genetic relationships. We report here the application of MAC-PR for the first time to random samples of unknown pedigrees. We analysed six microsatellite loci using a set of tetraploid ornamental rose ( Rosa x hybrida L.) varieties. For each locus, all alleles were analysed in pairwise combinations in order to determine their copy number in the individual samples. This was accomplished by calculating the ratios between the peak areas for two alleles in all of the samples where these two alleles occurred together. The allele peak ratios observed were plotted in a histogram, and those histograms that produced at least two well-separated groups were selected for further analysis. Mean allelic peak ratio values for these groups were compared to the relationships expected between alleles in hypothetical configurations of the locus investigated. Using this approach, we were able to assign precise allelic configurations (the actual genotype) to almost all of the varieties analysed for five of the six loci investigated. MAC-PR also appears to be a very effective tool for detecting 'null' alleles in polyploid species. More... »

PAGES

402-408

References to SciGraph publications

  • 2002-12. Development and characterisation of 140 new microsatellites in apple (Malus x domestica Borkh.) in MOLECULAR BREEDING
  • 2003-08. Characterization of mixed disomic and polysomic inheritance in the octoploid strawberry (Fragaria × ananassa) using AFLP mapping in THEORETICAL AND APPLIED GENETICS
  • 1996-06. Microsatellite analysis of relationships within cultivated potato (Solanum tuberosum) in THEORETICAL AND APPLIED GENETICS
  • 2003-01. Identification of cut rose (Rosa hybrida) and rootstock varieties using robust sequence tagged microsatellite site markers in THEORETICAL AND APPLIED GENETICS
  • 1992-01. The detection and estimation of linkage in polyploids using single-dose restriction fragments in THEORETICAL AND APPLIED GENETICS
  • 2003-11. High variability and disomic segregation of microsatellites in the octoploid Fragaria virginiana Mill. (Rosaceae) in THEORETICAL AND APPLIED GENETICS
  • 2003-11. Isolation and characterization of simple sequence repeat markers in the hexaploid forage grass timothy (Phleum pratense L.) in THEORETICAL AND APPLIED GENETICS
  • 2000-05. A comparative assessment of DNA fingerprinting techniques (RAPD, ISSR, AFLP and SSR) in tetraploid potato (Solanum tuberosum L.) germplasm in EUPHYTICA
  • 2004-03. Microsatellite DNA marker inheritance indicates preferential pairing between two highly homologous genomes in polyploid and hemisexual dog-roses, Rosa L. Sect. Caninae DC. in HEREDITY
  • 1998-12. Microsatellite DNA in Actinidia chinensis: isolation, characterisation, and homology in related species in THEORETICAL AND APPLIED GENETICS
  • 2000-09. Microsatellites for cultivar identification in Pelargonium in THEORETICAL AND APPLIED GENETICS
  • 1998-07. Development and characterization of microsatellite markers in the sexual-apomictic complex Taraxacum officinale (dandelion) in THEORETICAL AND APPLIED GENETICS
  • 2003-09. Microsatellite analysis reveals a progressive widening of the genetic basis in the elite durum wheat germplasm in THEORETICAL AND APPLIED GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00122-004-1645-5

    DOI

    http://dx.doi.org/10.1007/s00122-004-1645-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1042715692

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/15085263


    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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Alleles", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fluorescence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microsatellite Repeats", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polymerase Chain Reaction", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polyploidy", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Rosa", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Wageningen University & Research", 
              "id": "https://www.grid.ac/institutes/grid.4818.5", 
              "name": [
                "Department of Biodiversity and Breeding, Plant Research International, P.O. Box 16, 6700\u00a0AA, Wageningen, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Esselink", 
            "givenName": "G. D.", 
            "id": "sg:person.0667313162.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667313162.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Swedish University of Agricultural Sciences", 
              "id": "https://www.grid.ac/institutes/grid.6341.0", 
              "name": [
                "Balsg\u00e5rd-Department of Crop Science, Swedish University of Agricultural Sciences, Fj\u00e4lkestadsv\u00e4gen 459, 291\u00a094, Kristianstad, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nybom", 
            "givenName": "H.", 
            "id": "sg:person.0653411175.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653411175.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wageningen University & Research", 
              "id": "https://www.grid.ac/institutes/grid.4818.5", 
              "name": [
                "Department of Biodiversity and Breeding, Plant Research International, P.O. Box 16, 6700\u00a0AA, Wageningen, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vosman", 
            "givenName": "B.", 
            "id": "sg:person.01144766607.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144766607.02"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00122-002-1122-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003317949", 
              "https://doi.org/10.1007/s00122-002-1122-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1439-0523.2000.00501.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007231763"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1471-8278.2001.00059.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009315973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014069863", 
              "https://doi.org/10.1007/s001220051019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014069863", 
              "https://doi.org/10.1007/s001220051019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.hdy.6800332", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017885922", 
              "https://doi.org/10.1038/sj.hdy.6800332"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.hdy.6800332", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017885922", 
              "https://doi.org/10.1038/sj.hdy.6800332"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1020525906332", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020696374", 
              "https://doi.org/10.1023/a:1020525906332"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1003925620546", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020906220", 
              "https://doi.org/10.1023/a:1003925620546"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1370-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023763303", 
              "https://doi.org/10.1007/s00122-003-1370-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1370-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023763303", 
              "https://doi.org/10.1007/s00122-003-1370-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051526", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025959540", 
              "https://doi.org/10.1007/s001220051526"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051526", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025959540", 
              "https://doi.org/10.1007/s001220051526"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00224052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028494486", 
              "https://doi.org/10.1007/bf00224052"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.97.13.7051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029911411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1386-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030231505", 
              "https://doi.org/10.1007/s00122-003-1386-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1386-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030231505", 
              "https://doi.org/10.1007/s00122-003-1386-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1319-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030717548", 
              "https://doi.org/10.1007/s00122-003-1319-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1319-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030717548", 
              "https://doi.org/10.1007/s00122-003-1319-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1300-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034576521", 
              "https://doi.org/10.1007/s00122-003-1300-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1300-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034576521", 
              "https://doi.org/10.1007/s00122-003-1300-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-5347(99)01638-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036606862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1071/sb01043", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040764635"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-294x.2003.01706.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045189478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220050897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047184419", 
              "https://doi.org/10.1007/s001220050897"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220050897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047184419", 
              "https://doi.org/10.1007/s001220050897"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1471-8278.2000.00013.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048286234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00224274", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049435767", 
              "https://doi.org/10.1007/bf00224274"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.264.5157.421", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062548009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082828662", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2144/97221bi01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083030934"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2004-07", 
        "datePublishedReg": "2004-07-01", 
        "description": "Polysomic inheritance frequently results in the simultaneous occurrence of several microsatellite DNA alleles on a single locus. The MAC-PR (microsatellite DNA allele counting-peak ratios) method was recently developed for the analysis of polyploid plants and makes use of the quantitative values for microsatellite allele peak areas. To date, this approach has only been used in plants with known genetic relationships. We report here the application of MAC-PR for the first time to random samples of unknown pedigrees. We analysed six microsatellite loci using a set of tetraploid ornamental rose ( Rosa x hybrida L.) varieties. For each locus, all alleles were analysed in pairwise combinations in order to determine their copy number in the individual samples. This was accomplished by calculating the ratios between the peak areas for two alleles in all of the samples where these two alleles occurred together. The allele peak ratios observed were plotted in a histogram, and those histograms that produced at least two well-separated groups were selected for further analysis. Mean allelic peak ratio values for these groups were compared to the relationships expected between alleles in hypothetical configurations of the locus investigated. Using this approach, we were able to assign precise allelic configurations (the actual genotype) to almost all of the varieties analysed for five of the six loci investigated. MAC-PR also appears to be a very effective tool for detecting 'null' alleles in polyploid species.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00122-004-1645-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1135804", 
            "issn": [
              "0040-5752", 
              "1432-2242"
            ], 
            "name": "Theoretical and Applied Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "109"
          }
        ], 
        "name": "Assignment of allelic configuration in polyploids using the MAC-PR (microsatellite DNA allele counting\u2014peak ratios) method", 
        "pagination": "402-408", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "cb78f8bcea91538885acd9f84b115f73a1086a168fb5f16bcc9a959619c85e4a"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "15085263"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0145600"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00122-004-1645-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1042715692"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00122-004-1645-5", 
          "https://app.dimensions.ai/details/publication/pub.1042715692"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T14:33", 
        "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/v90/0000000373_0000000373/records_13104_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs00122-004-1645-5"
      }
    ]
     

    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/s00122-004-1645-5'

    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/s00122-004-1645-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00122-004-1645-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00122-004-1645-5'


     

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

    195 TRIPLES      21 PREDICATES      59 URIs      28 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00122-004-1645-5 schema:about N0515030db2ee471cb76b433cbdcf031b
    2 N40f1f227316c41ff85d5d62d0cd3f165
    3 N4400267639b049dfaee4a176901707e6
    4 N4fa8f06b97a74b45832afe2143404eb1
    5 N6697e1322d0749b1b8b4a36d68f7af9a
    6 Nbb6dbf7bad144c3eaeddc81767c274e8
    7 Nceffc480b6e14ffe938bc64433ffc0c9
    8 anzsrc-for:06
    9 anzsrc-for:0604
    10 schema:author N2372519afaf7460dae33dc91b68bcbbf
    11 schema:citation sg:pub.10.1007/bf00224052
    12 sg:pub.10.1007/bf00224274
    13 sg:pub.10.1007/s00122-002-1122-y
    14 sg:pub.10.1007/s00122-003-1300-6
    15 sg:pub.10.1007/s00122-003-1319-8
    16 sg:pub.10.1007/s00122-003-1370-5
    17 sg:pub.10.1007/s00122-003-1386-x
    18 sg:pub.10.1007/s001220050897
    19 sg:pub.10.1007/s001220051019
    20 sg:pub.10.1007/s001220051526
    21 sg:pub.10.1023/a:1003925620546
    22 sg:pub.10.1023/a:1020525906332
    23 sg:pub.10.1038/sj.hdy.6800332
    24 https://app.dimensions.ai/details/publication/pub.1082828662
    25 https://doi.org/10.1016/s0169-5347(99)01638-9
    26 https://doi.org/10.1046/j.1365-294x.2003.01706.x
    27 https://doi.org/10.1046/j.1439-0523.2000.00501.x
    28 https://doi.org/10.1046/j.1471-8278.2000.00013.x
    29 https://doi.org/10.1046/j.1471-8278.2001.00059.x
    30 https://doi.org/10.1071/sb01043
    31 https://doi.org/10.1073/pnas.97.13.7051
    32 https://doi.org/10.1126/science.264.5157.421
    33 https://doi.org/10.2144/97221bi01
    34 schema:datePublished 2004-07
    35 schema:datePublishedReg 2004-07-01
    36 schema:description Polysomic inheritance frequently results in the simultaneous occurrence of several microsatellite DNA alleles on a single locus. The MAC-PR (microsatellite DNA allele counting-peak ratios) method was recently developed for the analysis of polyploid plants and makes use of the quantitative values for microsatellite allele peak areas. To date, this approach has only been used in plants with known genetic relationships. We report here the application of MAC-PR for the first time to random samples of unknown pedigrees. We analysed six microsatellite loci using a set of tetraploid ornamental rose ( Rosa x hybrida L.) varieties. For each locus, all alleles were analysed in pairwise combinations in order to determine their copy number in the individual samples. This was accomplished by calculating the ratios between the peak areas for two alleles in all of the samples where these two alleles occurred together. The allele peak ratios observed were plotted in a histogram, and those histograms that produced at least two well-separated groups were selected for further analysis. Mean allelic peak ratio values for these groups were compared to the relationships expected between alleles in hypothetical configurations of the locus investigated. Using this approach, we were able to assign precise allelic configurations (the actual genotype) to almost all of the varieties analysed for five of the six loci investigated. MAC-PR also appears to be a very effective tool for detecting 'null' alleles in polyploid species.
    37 schema:genre research_article
    38 schema:inLanguage en
    39 schema:isAccessibleForFree false
    40 schema:isPartOf Na2f7d70f8e7e45f9b5536e7cc2c40005
    41 Ncecf618c97aa42f382df5a619dce99dc
    42 sg:journal.1135804
    43 schema:name Assignment of allelic configuration in polyploids using the MAC-PR (microsatellite DNA allele counting—peak ratios) method
    44 schema:pagination 402-408
    45 schema:productId N117915713632483a816d6e25d3b6e546
    46 N43a32c6a1e6948e0a6dce0e0a9d95b05
    47 N6c219bbb419540ca80444ac101e82fd2
    48 N9b7a8ecf59044a92b510740c27ca3e31
    49 Necb8d3be94e840eaa7bf1a40a6aae931
    50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042715692
    51 https://doi.org/10.1007/s00122-004-1645-5
    52 schema:sdDatePublished 2019-04-11T14:33
    53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    54 schema:sdPublisher N91b515d22e6b4e129479c9e9857d1fdb
    55 schema:url http://link.springer.com/10.1007%2Fs00122-004-1645-5
    56 sgo:license sg:explorer/license/
    57 sgo:sdDataset articles
    58 rdf:type schema:ScholarlyArticle
    59 N0515030db2ee471cb76b433cbdcf031b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    60 schema:name Polyploidy
    61 rdf:type schema:DefinedTerm
    62 N117915713632483a816d6e25d3b6e546 schema:name dimensions_id
    63 schema:value pub.1042715692
    64 rdf:type schema:PropertyValue
    65 N2372519afaf7460dae33dc91b68bcbbf rdf:first sg:person.0667313162.94
    66 rdf:rest Nd471625582fc492ca57ed0e0c04df22a
    67 N40f1f227316c41ff85d5d62d0cd3f165 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    68 schema:name Fluorescence
    69 rdf:type schema:DefinedTerm
    70 N43a32c6a1e6948e0a6dce0e0a9d95b05 schema:name doi
    71 schema:value 10.1007/s00122-004-1645-5
    72 rdf:type schema:PropertyValue
    73 N4400267639b049dfaee4a176901707e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    74 schema:name Polymerase Chain Reaction
    75 rdf:type schema:DefinedTerm
    76 N4fa8f06b97a74b45832afe2143404eb1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    77 schema:name Microsatellite Repeats
    78 rdf:type schema:DefinedTerm
    79 N6697e1322d0749b1b8b4a36d68f7af9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    80 schema:name Genotype
    81 rdf:type schema:DefinedTerm
    82 N6c219bbb419540ca80444ac101e82fd2 schema:name pubmed_id
    83 schema:value 15085263
    84 rdf:type schema:PropertyValue
    85 N91b515d22e6b4e129479c9e9857d1fdb schema:name Springer Nature - SN SciGraph project
    86 rdf:type schema:Organization
    87 N9b7a8ecf59044a92b510740c27ca3e31 schema:name nlm_unique_id
    88 schema:value 0145600
    89 rdf:type schema:PropertyValue
    90 Na2f7d70f8e7e45f9b5536e7cc2c40005 schema:volumeNumber 109
    91 rdf:type schema:PublicationVolume
    92 Nb36cc3a062de4932bdf6181fb0f31e75 rdf:first sg:person.01144766607.02
    93 rdf:rest rdf:nil
    94 Nbb6dbf7bad144c3eaeddc81767c274e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    95 schema:name Rosa
    96 rdf:type schema:DefinedTerm
    97 Ncecf618c97aa42f382df5a619dce99dc schema:issueNumber 2
    98 rdf:type schema:PublicationIssue
    99 Nceffc480b6e14ffe938bc64433ffc0c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    100 schema:name Alleles
    101 rdf:type schema:DefinedTerm
    102 Nd471625582fc492ca57ed0e0c04df22a rdf:first sg:person.0653411175.41
    103 rdf:rest Nb36cc3a062de4932bdf6181fb0f31e75
    104 Necb8d3be94e840eaa7bf1a40a6aae931 schema:name readcube_id
    105 schema:value cb78f8bcea91538885acd9f84b115f73a1086a168fb5f16bcc9a959619c85e4a
    106 rdf:type schema:PropertyValue
    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.1135804 schema:issn 0040-5752
    114 1432-2242
    115 schema:name Theoretical and Applied Genetics
    116 rdf:type schema:Periodical
    117 sg:person.01144766607.02 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
    118 schema:familyName Vosman
    119 schema:givenName B.
    120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144766607.02
    121 rdf:type schema:Person
    122 sg:person.0653411175.41 schema:affiliation https://www.grid.ac/institutes/grid.6341.0
    123 schema:familyName Nybom
    124 schema:givenName H.
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653411175.41
    126 rdf:type schema:Person
    127 sg:person.0667313162.94 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
    128 schema:familyName Esselink
    129 schema:givenName G. D.
    130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667313162.94
    131 rdf:type schema:Person
    132 sg:pub.10.1007/bf00224052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028494486
    133 https://doi.org/10.1007/bf00224052
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/bf00224274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049435767
    136 https://doi.org/10.1007/bf00224274
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/s00122-002-1122-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1003317949
    139 https://doi.org/10.1007/s00122-002-1122-y
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/s00122-003-1300-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034576521
    142 https://doi.org/10.1007/s00122-003-1300-6
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/s00122-003-1319-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030717548
    145 https://doi.org/10.1007/s00122-003-1319-8
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/s00122-003-1370-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023763303
    148 https://doi.org/10.1007/s00122-003-1370-5
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/s00122-003-1386-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030231505
    151 https://doi.org/10.1007/s00122-003-1386-x
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/s001220050897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047184419
    154 https://doi.org/10.1007/s001220050897
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s001220051019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014069863
    157 https://doi.org/10.1007/s001220051019
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s001220051526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025959540
    160 https://doi.org/10.1007/s001220051526
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1023/a:1003925620546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020906220
    163 https://doi.org/10.1023/a:1003925620546
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1023/a:1020525906332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020696374
    166 https://doi.org/10.1023/a:1020525906332
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1038/sj.hdy.6800332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017885922
    169 https://doi.org/10.1038/sj.hdy.6800332
    170 rdf:type schema:CreativeWork
    171 https://app.dimensions.ai/details/publication/pub.1082828662 schema:CreativeWork
    172 https://doi.org/10.1016/s0169-5347(99)01638-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036606862
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1046/j.1365-294x.2003.01706.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045189478
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1046/j.1439-0523.2000.00501.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007231763
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1046/j.1471-8278.2000.00013.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048286234
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1046/j.1471-8278.2001.00059.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009315973
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1071/sb01043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040764635
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1073/pnas.97.13.7051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029911411
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1126/science.264.5157.421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062548009
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.2144/97221bi01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083030934
    189 rdf:type schema:CreativeWork
    190 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
    191 schema:name Department of Biodiversity and Breeding, Plant Research International, P.O. Box 16, 6700 AA, Wageningen, The Netherlands
    192 rdf:type schema:Organization
    193 https://www.grid.ac/institutes/grid.6341.0 schema:alternateName Swedish University of Agricultural Sciences
    194 schema:name Balsgård-Department of Crop Science, Swedish University of Agricultural Sciences, Fjälkestadsvägen 459, 291 94, Kristianstad, Sweden
    195 rdf:type schema:Organization
     




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


    ...