QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-12

AUTHORS

N. Ramchiary, N. C. Bisht, V. Gupta, A. Mukhopadhyay, N. Arumugam, Y. S. Sodhi, D. Pental, A. K. Pradhan

ABSTRACT

Seed glucosinolate content in Brassica juncea is a complex quantitative trait. A recurrent selection backcross (RSB) method with a doubled haploid (DH) generation interspersing backcross generations was used for the introgression of low glucosinolate alleles from an east European gene pool B. juncea line, Heera into an Indian gene pool variety, Varuna. Phenotypic comparisons among the DH populations derived from early to advanced backcrosses revealed a shift in the mean values for various glucosinolates with the advancement of backcrossing, indicating a change in the selective values of the alleles with change in the genetic background due to the existence of epistasis and context dependencies. QTL mapping for various seed glucosinolates from early (F(1)DH) and advanced generation (BC(4)DH) populations confirmed the presence of epistasis and context dependency. The common QTL detected in both F(1)DH and BC(4)DH changed their R (2) values from the former to the later generation. Some of the QTL detected in the F(1)DH became irrelevant in the BC(4)DH population. Further, new QTL were detected in the BC(4)DH population for various glucosinolates. A validation study on a population of low glucosinolate DH lines derived from all the backcross generations of the RSB breeding programme revealed that the QTL detected in BC(4)DH were the 'true' QTL. Using glucosinolate as an example, the study provides strong evidence for the importance of the RSB method for the identification of the 'true' QTL which would be significant for marker assisted introgression of a complex quantitative trait whose expression is influenced by epistatic interactions. More... »

PAGES

77-85

References to SciGraph publications

  • 1993-01. Heterosis breeding in Indian mustard (Brassica juncea L. Czern & Coss): Analysis of component characters contributing to heterosis for yield in EUPHYTICA
  • 1994. Extraction of total cellular DNA from plants, algae and fungi in PLANT MOLECULAR BIOLOGY MANUAL
  • 2001-02. AFLP-based genetic diversity assessment amongst agronomically important natural and some newly synthesized lines of Brassica juncea in THEORETICAL AND APPLIED GENETICS
  • 2004-08. Genetic analysis of agronomic and quality traits in mustard (Brassica juncea) in THEORETICAL AND APPLIED GENETICS
  • 2007-07. High-density Brassica oleracea linkage map: identification of useful new linkages in THEORETICAL AND APPLIED GENETICS
  • 2003-02. A high-density linkage map in Brassica juncea (Indian mustard) using AFLP and RFLP markers in THEORETICAL AND APPLIED GENETICS
  • 2004-08. Marker-assisted introgression of five QTLs controlling fruit quality traits into three tomato lines revealed interactions between QTLs and genetic backgrounds in THEORETICAL AND APPLIED GENETICS
  • 2007-10. Mapping of yield influencing QTL in Brassica juncea: implications for breeding of a major oilseed crop of dryland areas in THEORETICAL AND APPLIED GENETICS
  • 2001-07. Evaluation of near-isogenic lines of rice introgressed with QTLs for root depth through marker-aided selection in THEORETICAL AND APPLIED GENETICS
  • 2006-08. Quantitative trait analysis of seed yield and other complex traits in hybrid spring rapeseed (Brassica napus L.): 1. Identification of genomic regions from winter germplasm in THEORETICAL AND APPLIED GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00122-007-0648-4

    DOI

    http://dx.doi.org/10.1007/s00122-007-0648-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1024421095

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17898985


    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": "Breeding", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosome Mapping", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Crosses, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Markers", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Variation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Glucosinolates", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mustard Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phenotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Quantitative Trait Loci", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Seeds", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Selection, Genetic", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Delhi", 
              "id": "https://www.grid.ac/institutes/grid.8195.5", 
              "name": [
                "Department of Genetics, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ramchiary", 
            "givenName": "N.", 
            "id": "sg:person.0607510422.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607510422.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Delhi", 
              "id": "https://www.grid.ac/institutes/grid.8195.5", 
              "name": [
                "Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bisht", 
            "givenName": "N. C.", 
            "id": "sg:person.01060274165.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060274165.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Delhi", 
              "id": "https://www.grid.ac/institutes/grid.8195.5", 
              "name": [
                "Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gupta", 
            "givenName": "V.", 
            "id": "sg:person.0707106054.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707106054.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Delhi", 
              "id": "https://www.grid.ac/institutes/grid.8195.5", 
              "name": [
                "Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mukhopadhyay", 
            "givenName": "A.", 
            "id": "sg:person.0674770440.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674770440.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pondicherry University", 
              "id": "https://www.grid.ac/institutes/grid.412517.4", 
              "name": [
                "Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India", 
                "Department of Biotechnology, Pondicherry University, 605 014, Pondicherry, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Arumugam", 
            "givenName": "N.", 
            "id": "sg:person.01133244757.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133244757.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Delhi", 
              "id": "https://www.grid.ac/institutes/grid.8195.5", 
              "name": [
                "Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sodhi", 
            "givenName": "Y. S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Delhi", 
              "id": "https://www.grid.ac/institutes/grid.8195.5", 
              "name": [
                "Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India", 
                "Department of Genetics, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pental", 
            "givenName": "D.", 
            "id": "sg:person.01230565713.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230565713.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Delhi", 
              "id": "https://www.grid.ac/institutes/grid.8195.5", 
              "name": [
                "Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India", 
                "Department of Genetics, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pradhan", 
            "givenName": "A. K.", 
            "id": "sg:person.01137563054.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137563054.00"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00122-007-0610-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000587413", 
              "https://doi.org/10.1007/s00122-007-0610-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0610-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000587413", 
              "https://doi.org/10.1007/s00122-007-0610-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1674-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004685637", 
              "https://doi.org/10.1007/s00122-004-1674-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1674-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004685637", 
              "https://doi.org/10.1007/s00122-004-1674-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1439-0523.2002.00747.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006709966"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4141/cjps90-050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007588911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g03-051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011931298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rstb.2005.1670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012294088"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-1083-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012983945", 
              "https://doi.org/10.1007/s00122-002-1083-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0323-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013764536", 
              "https://doi.org/10.1007/s00122-006-0323-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0323-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013764536", 
              "https://doi.org/10.1007/s00122-006-0323-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1439-0523.1993.tb00607.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016509390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00022368", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016943654", 
              "https://doi.org/10.1007/bf00022368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00022368", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016943654", 
              "https://doi.org/10.1007/bf00022368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0568-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020486756", 
              "https://doi.org/10.1007/s00122-007-0568-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-0511-8_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020790088", 
              "https://doi.org/10.1007/978-94-011-0511-8_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051635", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026795799", 
              "https://doi.org/10.1007/s001220051635"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051635", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026795799", 
              "https://doi.org/10.1007/s001220051635"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1682-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026814946", 
              "https://doi.org/10.1007/s00122-004-1682-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1682-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026814946", 
              "https://doi.org/10.1007/s00122-004-1682-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1439-0523.1990.tb00449.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029603053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.arplant.57.032905.105228", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030396132"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.90.23.10972", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034621530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220100538", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039321823", 
              "https://doi.org/10.1007/s001220100538"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220100538", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039321823", 
              "https://doi.org/10.1007/s001220100538"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1087361", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048921070"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4141/cjps90-049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051048142"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0016672303006517", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054061614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0016672303006517", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054061614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.17660/actahortic.1998.459.15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068396499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2135/cropsci2000.4051438x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069026904"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075072328", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075180119", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082535482", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082609467", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082948111", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083241698", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1079/9780851996011.0245", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089216680"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2007-12", 
        "datePublishedReg": "2007-12-01", 
        "description": "Seed glucosinolate content in Brassica juncea is a complex quantitative trait. A recurrent selection backcross (RSB) method with a doubled haploid (DH) generation interspersing backcross generations was used for the introgression of low glucosinolate alleles from an east European gene pool B. juncea line, Heera into an Indian gene pool variety, Varuna. Phenotypic comparisons among the DH populations derived from early to advanced backcrosses revealed a shift in the mean values for various glucosinolates with the advancement of backcrossing, indicating a change in the selective values of the alleles with change in the genetic background due to the existence of epistasis and context dependencies. QTL mapping for various seed glucosinolates from early (F(1)DH) and advanced generation (BC(4)DH) populations confirmed the presence of epistasis and context dependency. The common QTL detected in both F(1)DH and BC(4)DH changed their R (2) values from the former to the later generation. Some of the QTL detected in the F(1)DH became irrelevant in the BC(4)DH population. Further, new QTL were detected in the BC(4)DH population for various glucosinolates. A validation study on a population of low glucosinolate DH lines derived from all the backcross generations of the RSB breeding programme revealed that the QTL detected in BC(4)DH were the 'true' QTL. Using glucosinolate as an example, the study provides strong evidence for the importance of the RSB method for the identification of the 'true' QTL which would be significant for marker assisted introgression of a complex quantitative trait whose expression is influenced by epistatic interactions.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00122-007-0648-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1135804", 
            "issn": [
              "0040-5752", 
              "1432-2242"
            ], 
            "name": "Theoretical and Applied Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "116"
          }
        ], 
        "name": "QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme for the identification of \u2018true\u2019 QTL", 
        "pagination": "77-85", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "745826bfef682637d4649ed91e252688017c8ed02da211580e461698d3ce5911"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "17898985"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0145600"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00122-007-0648-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1024421095"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00122-007-0648-4", 
          "https://app.dimensions.ai/details/publication/pub.1024421095"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T14:30", 
        "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_13090_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs00122-007-0648-4"
      }
    ]
     

    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/s00122-007-0648-4'

    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/s00122-007-0648-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00122-007-0648-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00122-007-0648-4'


     

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

    260 TRIPLES      21 PREDICATES      70 URIs      32 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00122-007-0648-4 schema:about N0433ce4450414eeabb8b6457d48c38d4
    2 N1e44eadb36d647feb8b6b291c282f1df
    3 N49706fd16b594d53b76795be9a41d9e9
    4 N4ed8882e4cba4cd7881295fc71f73ecc
    5 N564701f272024a37a12135df6b0d0482
    6 N7122de3352344acda2878388532a379d
    7 Nba6727a0bdf341a488d511a4cb76d10e
    8 Ndc43d15ce2dd481d963633a5acc49ed5
    9 Ne278b6947152450886c613901cb8ba0a
    10 Nf59b5f5e9776485c97a3ab4a9ddbb3b9
    11 Nfbdf0f62152c4bce88fd54d8978b2528
    12 anzsrc-for:06
    13 anzsrc-for:0604
    14 schema:author N42d6964f4e144752b37442fa5a80e233
    15 schema:citation sg:pub.10.1007/978-94-011-0511-8_12
    16 sg:pub.10.1007/bf00022368
    17 sg:pub.10.1007/s00122-002-1083-1
    18 sg:pub.10.1007/s00122-004-1674-0
    19 sg:pub.10.1007/s00122-004-1682-0
    20 sg:pub.10.1007/s00122-006-0323-1
    21 sg:pub.10.1007/s00122-007-0568-3
    22 sg:pub.10.1007/s00122-007-0610-5
    23 sg:pub.10.1007/s001220051635
    24 sg:pub.10.1007/s001220100538
    25 https://app.dimensions.ai/details/publication/pub.1075072328
    26 https://app.dimensions.ai/details/publication/pub.1075180119
    27 https://app.dimensions.ai/details/publication/pub.1082535482
    28 https://app.dimensions.ai/details/publication/pub.1082609467
    29 https://app.dimensions.ai/details/publication/pub.1082948111
    30 https://app.dimensions.ai/details/publication/pub.1083241698
    31 https://doi.org/10.1017/s0016672303006517
    32 https://doi.org/10.1046/j.1439-0523.2002.00747.x
    33 https://doi.org/10.1073/pnas.90.23.10972
    34 https://doi.org/10.1079/9780851996011.0245
    35 https://doi.org/10.1098/rstb.2005.1670
    36 https://doi.org/10.1111/j.1439-0523.1990.tb00449.x
    37 https://doi.org/10.1111/j.1439-0523.1993.tb00607.x
    38 https://doi.org/10.1126/science.1087361
    39 https://doi.org/10.1139/g03-051
    40 https://doi.org/10.1146/annurev.arplant.57.032905.105228
    41 https://doi.org/10.17660/actahortic.1998.459.15
    42 https://doi.org/10.2135/cropsci2000.4051438x
    43 https://doi.org/10.4141/cjps90-049
    44 https://doi.org/10.4141/cjps90-050
    45 schema:datePublished 2007-12
    46 schema:datePublishedReg 2007-12-01
    47 schema:description Seed glucosinolate content in Brassica juncea is a complex quantitative trait. A recurrent selection backcross (RSB) method with a doubled haploid (DH) generation interspersing backcross generations was used for the introgression of low glucosinolate alleles from an east European gene pool B. juncea line, Heera into an Indian gene pool variety, Varuna. Phenotypic comparisons among the DH populations derived from early to advanced backcrosses revealed a shift in the mean values for various glucosinolates with the advancement of backcrossing, indicating a change in the selective values of the alleles with change in the genetic background due to the existence of epistasis and context dependencies. QTL mapping for various seed glucosinolates from early (F(1)DH) and advanced generation (BC(4)DH) populations confirmed the presence of epistasis and context dependency. The common QTL detected in both F(1)DH and BC(4)DH changed their R (2) values from the former to the later generation. Some of the QTL detected in the F(1)DH became irrelevant in the BC(4)DH population. Further, new QTL were detected in the BC(4)DH population for various glucosinolates. A validation study on a population of low glucosinolate DH lines derived from all the backcross generations of the RSB breeding programme revealed that the QTL detected in BC(4)DH were the 'true' QTL. Using glucosinolate as an example, the study provides strong evidence for the importance of the RSB method for the identification of the 'true' QTL which would be significant for marker assisted introgression of a complex quantitative trait whose expression is influenced by epistatic interactions.
    48 schema:genre research_article
    49 schema:inLanguage en
    50 schema:isAccessibleForFree false
    51 schema:isPartOf N61ae06a1220f49668cae7737e030ad22
    52 N706a42b0223f43859a6b68fc9ba88319
    53 sg:journal.1135804
    54 schema:name QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme for the identification of ‘true’ QTL
    55 schema:pagination 77-85
    56 schema:productId N0da52c59633e460d8afd4862e21b4808
    57 N38ee8ebc623848f99ed3edb5cee70f62
    58 N748164ca0768448692d4c038819232f5
    59 Naeaf251f5da148c1976f8afa1fb8b996
    60 Nb12b39b52a11430e8fbb4bc427f8cf84
    61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024421095
    62 https://doi.org/10.1007/s00122-007-0648-4
    63 schema:sdDatePublished 2019-04-11T14:30
    64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    65 schema:sdPublisher N15544cc7cb714fc7895575ebc3b80072
    66 schema:url http://link.springer.com/10.1007%2Fs00122-007-0648-4
    67 sgo:license sg:explorer/license/
    68 sgo:sdDataset articles
    69 rdf:type schema:ScholarlyArticle
    70 N0433ce4450414eeabb8b6457d48c38d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    71 schema:name Selection, Genetic
    72 rdf:type schema:DefinedTerm
    73 N0da52c59633e460d8afd4862e21b4808 schema:name readcube_id
    74 schema:value 745826bfef682637d4649ed91e252688017c8ed02da211580e461698d3ce5911
    75 rdf:type schema:PropertyValue
    76 N15544cc7cb714fc7895575ebc3b80072 schema:name Springer Nature - SN SciGraph project
    77 rdf:type schema:Organization
    78 N1e44eadb36d647feb8b6b291c282f1df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Glucosinolates
    80 rdf:type schema:DefinedTerm
    81 N2acdfcd3d2434539aad798cfdd611393 rdf:first sg:person.0674770440.54
    82 rdf:rest N9bc0c061e8244137ab0d3073d23c8016
    83 N38ee8ebc623848f99ed3edb5cee70f62 schema:name doi
    84 schema:value 10.1007/s00122-007-0648-4
    85 rdf:type schema:PropertyValue
    86 N3e64a771a8064d7f84aa1aa56775e32f rdf:first Nae016f9143334993aed529477121709a
    87 rdf:rest Nf1593f5bdb3f4b05b8413d6475f843ab
    88 N3ecd7082315e43afa5a26b125037a830 rdf:first sg:person.01137563054.00
    89 rdf:rest rdf:nil
    90 N42d6964f4e144752b37442fa5a80e233 rdf:first sg:person.0607510422.03
    91 rdf:rest N8f937671b8b34ee7b3410a637f3039cb
    92 N49706fd16b594d53b76795be9a41d9e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    93 schema:name Genetic Markers
    94 rdf:type schema:DefinedTerm
    95 N4ed8882e4cba4cd7881295fc71f73ecc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    96 schema:name Phenotype
    97 rdf:type schema:DefinedTerm
    98 N564701f272024a37a12135df6b0d0482 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Crosses, Genetic
    100 rdf:type schema:DefinedTerm
    101 N61ae06a1220f49668cae7737e030ad22 schema:volumeNumber 116
    102 rdf:type schema:PublicationVolume
    103 N706a42b0223f43859a6b68fc9ba88319 schema:issueNumber 1
    104 rdf:type schema:PublicationIssue
    105 N7122de3352344acda2878388532a379d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Chromosome Mapping
    107 rdf:type schema:DefinedTerm
    108 N748164ca0768448692d4c038819232f5 schema:name dimensions_id
    109 schema:value pub.1024421095
    110 rdf:type schema:PropertyValue
    111 N81593de9c8434d69ad8f231010965154 rdf:first sg:person.0707106054.43
    112 rdf:rest N2acdfcd3d2434539aad798cfdd611393
    113 N8f937671b8b34ee7b3410a637f3039cb rdf:first sg:person.01060274165.30
    114 rdf:rest N81593de9c8434d69ad8f231010965154
    115 N9bc0c061e8244137ab0d3073d23c8016 rdf:first sg:person.01133244757.39
    116 rdf:rest N3e64a771a8064d7f84aa1aa56775e32f
    117 Nae016f9143334993aed529477121709a schema:affiliation https://www.grid.ac/institutes/grid.8195.5
    118 schema:familyName Sodhi
    119 schema:givenName Y. S.
    120 rdf:type schema:Person
    121 Naeaf251f5da148c1976f8afa1fb8b996 schema:name pubmed_id
    122 schema:value 17898985
    123 rdf:type schema:PropertyValue
    124 Nb12b39b52a11430e8fbb4bc427f8cf84 schema:name nlm_unique_id
    125 schema:value 0145600
    126 rdf:type schema:PropertyValue
    127 Nba6727a0bdf341a488d511a4cb76d10e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Quantitative Trait Loci
    129 rdf:type schema:DefinedTerm
    130 Ndc43d15ce2dd481d963633a5acc49ed5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Seeds
    132 rdf:type schema:DefinedTerm
    133 Ne278b6947152450886c613901cb8ba0a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Mustard Plant
    135 rdf:type schema:DefinedTerm
    136 Nf1593f5bdb3f4b05b8413d6475f843ab rdf:first sg:person.01230565713.24
    137 rdf:rest N3ecd7082315e43afa5a26b125037a830
    138 Nf59b5f5e9776485c97a3ab4a9ddbb3b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Breeding
    140 rdf:type schema:DefinedTerm
    141 Nfbdf0f62152c4bce88fd54d8978b2528 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Genetic Variation
    143 rdf:type schema:DefinedTerm
    144 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    145 schema:name Biological Sciences
    146 rdf:type schema:DefinedTerm
    147 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    148 schema:name Genetics
    149 rdf:type schema:DefinedTerm
    150 sg:journal.1135804 schema:issn 0040-5752
    151 1432-2242
    152 schema:name Theoretical and Applied Genetics
    153 rdf:type schema:Periodical
    154 sg:person.01060274165.30 schema:affiliation https://www.grid.ac/institutes/grid.8195.5
    155 schema:familyName Bisht
    156 schema:givenName N. C.
    157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060274165.30
    158 rdf:type schema:Person
    159 sg:person.01133244757.39 schema:affiliation https://www.grid.ac/institutes/grid.412517.4
    160 schema:familyName Arumugam
    161 schema:givenName N.
    162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133244757.39
    163 rdf:type schema:Person
    164 sg:person.01137563054.00 schema:affiliation https://www.grid.ac/institutes/grid.8195.5
    165 schema:familyName Pradhan
    166 schema:givenName A. K.
    167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137563054.00
    168 rdf:type schema:Person
    169 sg:person.01230565713.24 schema:affiliation https://www.grid.ac/institutes/grid.8195.5
    170 schema:familyName Pental
    171 schema:givenName D.
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230565713.24
    173 rdf:type schema:Person
    174 sg:person.0607510422.03 schema:affiliation https://www.grid.ac/institutes/grid.8195.5
    175 schema:familyName Ramchiary
    176 schema:givenName N.
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607510422.03
    178 rdf:type schema:Person
    179 sg:person.0674770440.54 schema:affiliation https://www.grid.ac/institutes/grid.8195.5
    180 schema:familyName Mukhopadhyay
    181 schema:givenName A.
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674770440.54
    183 rdf:type schema:Person
    184 sg:person.0707106054.43 schema:affiliation https://www.grid.ac/institutes/grid.8195.5
    185 schema:familyName Gupta
    186 schema:givenName V.
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707106054.43
    188 rdf:type schema:Person
    189 sg:pub.10.1007/978-94-011-0511-8_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020790088
    190 https://doi.org/10.1007/978-94-011-0511-8_12
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/bf00022368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016943654
    193 https://doi.org/10.1007/bf00022368
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s00122-002-1083-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012983945
    196 https://doi.org/10.1007/s00122-002-1083-1
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s00122-004-1674-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004685637
    199 https://doi.org/10.1007/s00122-004-1674-0
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s00122-004-1682-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026814946
    202 https://doi.org/10.1007/s00122-004-1682-0
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s00122-006-0323-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013764536
    205 https://doi.org/10.1007/s00122-006-0323-1
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1007/s00122-007-0568-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020486756
    208 https://doi.org/10.1007/s00122-007-0568-3
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s00122-007-0610-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000587413
    211 https://doi.org/10.1007/s00122-007-0610-5
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s001220051635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026795799
    214 https://doi.org/10.1007/s001220051635
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/s001220100538 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039321823
    217 https://doi.org/10.1007/s001220100538
    218 rdf:type schema:CreativeWork
    219 https://app.dimensions.ai/details/publication/pub.1075072328 schema:CreativeWork
    220 https://app.dimensions.ai/details/publication/pub.1075180119 schema:CreativeWork
    221 https://app.dimensions.ai/details/publication/pub.1082535482 schema:CreativeWork
    222 https://app.dimensions.ai/details/publication/pub.1082609467 schema:CreativeWork
    223 https://app.dimensions.ai/details/publication/pub.1082948111 schema:CreativeWork
    224 https://app.dimensions.ai/details/publication/pub.1083241698 schema:CreativeWork
    225 https://doi.org/10.1017/s0016672303006517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054061614
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1046/j.1439-0523.2002.00747.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006709966
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1073/pnas.90.23.10972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034621530
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1079/9780851996011.0245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089216680
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1098/rstb.2005.1670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012294088
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1111/j.1439-0523.1990.tb00449.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029603053
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1111/j.1439-0523.1993.tb00607.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016509390
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1126/science.1087361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048921070
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1139/g03-051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011931298
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1146/annurev.arplant.57.032905.105228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030396132
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.17660/actahortic.1998.459.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068396499
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.2135/cropsci2000.4051438x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069026904
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.4141/cjps90-049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051048142
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.4141/cjps90-050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007588911
    252 rdf:type schema:CreativeWork
    253 https://www.grid.ac/institutes/grid.412517.4 schema:alternateName Pondicherry University
    254 schema:name Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India
    255 Department of Biotechnology, Pondicherry University, 605 014, Pondicherry, India
    256 rdf:type schema:Organization
    257 https://www.grid.ac/institutes/grid.8195.5 schema:alternateName University of Delhi
    258 schema:name Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India
    259 Department of Genetics, University of Delhi South Campus, Benito Juarez Road, 110 021, New Delhi, India
    260 rdf:type schema:Organization
     




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


    ...