QTL analysis of fruit quality traits in two peach intraspecific populations and importance of maturity date pleiotropic effect View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-10-20

AUTHORS

Iban Eduardo, Igor Pacheco, Giorgiana Chietera, Daniele Bassi, Carlo Pozzi, Alberto Vecchietti, Laura Rossini

ABSTRACT

Two intraspecific peach breeding populations have been used to conduct a quantitative trait locus (QTL) analysis of fruit quality traits: an F1 from the cross Bolero (B) x OroA (O) and an F2 from the cross Contender (C) x Ambra (A). A total of 344 Prunus simple sequence repeats (SSRs) were analyzed in B, O, C, A parents and CxA F1 hybrid. Eight SSR were mapped for the first time in peach. A multiplex-ready polymerase chain reaction (PCR) protocol has allowed considerable time and cost saving during genotyping steps. Two maps (B map and O map) were produced for BxO population following the pseudo-test cross strategy and one for CxA. No marker could be mapped on G6 for the B map, on G4 and G8 for the O map and on G5 for the CxA map. Both populations were phenotyped over 2 years for maturity date (MD), fruit weight, external fruit skin overcolor, juice total soluble solids (SSC, Brix degree), juice titrable acidity and juice pH. Data for blooming time and flower type were scored only for BxO in 2007. All traits had a normal distribution, except for MD which was bimodal in BxO and trimodal in CxA, where it was scored as a co-dominant trait. Up to two QTLs per trait were detected in each population, and most of them were located in the same region forming clusters of QTLs, especially on G4. This is likely due to a major pleiotropic effect of MD masking the identification of other QTLs for different traits. More... »

PAGES

323-335

References to SciGraph publications

  • 2009-12-08. A fruit quality gene map of Prunus in BMC GENOMICS
  • 2008-02-18. Multiplex-Ready PCR: A new method for multiplexed SSR and SNP genotyping in BMC GENOMICS
  • 2005-08. Endopolygalacturonase: a Candidate Gene for Freestone and Melting Fleshin Peach in MOLECULAR BREEDING
  • 2007-03-20. Mapping of A1 conferring resistance to the aphid Amphorophora idaei and dw (dwarfing habit) in red raspberry (Rubus idaeus L.) using AFLP and microsatellite markers in BMC PLANT BIOLOGY
  • 2002-10-25. A set of simple-sequence repeat (SSR) markers covering the Prunus genome in THEORETICAL AND APPLIED GENETICS
  • 2008-01-24. Leucoanthocyanidin dioxygenase gene (PpLDOX): a potential functional marker for cold storage browning in peach in TREE GENETICS & GENOMES
  • 1999-03. Salt tolerance in Lycopersicon spp. VII. Pleiotropic action of genes controlling earliness on fruit yield in THEORETICAL AND APPLIED GENETICS
  • 2008-11-25. Comparative analysis of expressed sequence tags from tissues in ripening stages of peach (Prunus persica L. Batsch) in TREE GENETICS & GENOMES
  • 2008-06-18. A cherry map from the inter-specific cross Prunus avium ‘Napoleon’ × P. nipponica based on microsatellite, gene-specific and isoenzyme markers in TREE GENETICS & GENOMES
  • 2008-04-15. Expression analysis and genetic mapping of three SEPALLATA-like genes from peach (Prunus persica (L.) Batsch) in TREE GENETICS & GENOMES
  • 2006-09-21. Development of a second-generation genetic linkage map for peach [Prunus persica (L.) Batsch] and characterization of morphological traits affecting flower and fruit in TREE GENETICS & GENOMES
  • 1998-02. QTL analysis in plants; where are we now? in HEREDITY
  • 2008-02-27. Identification and stability of QTLs for fruit quality traits in apple in TREE GENETICS & GENOMES
  • 2008-12-11. Characteristics and transferability of new apple EST-derived SSRs to other Rosaceae species in MOLECULAR BREEDING
  • 1996-10. Analysis of molecular markers associated with powdery mildew resistance genes in peach (Prunus persica (L.) Batsch)xPrunus davidiana hybrids in THEORETICAL AND APPLIED GENETICS
  • 2008-06-18. Synteny conservation between two distantly-related Rosaceae genomes: Prunus (the stone fruits) and Fragaria(the strawberry) in BMC PLANT BIOLOGY
  • 2009-05-15. Phenotypic and fine genetic characterization of the D locus controlling fruit acidity in peach in BMC PLANT BIOLOGY
  • 1999-01. Mapping QTLs controlling fruit quality in peach (Prunus persica (L.) Batsch) in THEORETICAL AND APPLIED GENETICS
  • 2007-01-16. Construction of a genetic linkage map and identification of molecular markers in peach rootstocks for response to peach tree short life syndrome in TREE GENETICS & GENOMES
  • 1998-10. Genetic linkage map of peach [Prunus persica (L.) Batsch] using morphological and molecular markers in THEORETICAL AND APPLIED GENETICS
  • 2004-05-27. QTL analysis of quality traits in an advanced backcross between Prunus persica cultivars and the wild relative species P. davidiana in THEORETICAL AND APPLIED GENETICS
  • 2002-05-23. Development of microsatellite markers in peach [Prunus persica (L.) Batsch] and their use in genetic diversity analysis in peach and sweet cherry (Prunus avium L.) in THEORETICAL AND APPLIED GENETICS
  • 2009-02-10. Synteny of Prunus and other model plant species in BMC GENOMICS
  • 2005-08-09. Microsatellite and AFLP markers in the Prunus persica [L. (Batsch)]×P. ferganensis BC1linkage map: saturation and coverage improvement in THEORETICAL AND APPLIED GENETICS
  • 2002-05-25. Candidate genes and QTLs for sugar and organic acid content in peach [Prunus persica (L.) Batsch] in THEORETICAL AND APPLIED GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11295-010-0334-6

    DOI

    http://dx.doi.org/10.1007/s11295-010-0334-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1046737458


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "IRTA. Centre de Recerca en Agrigen\u00f2mica CSIC-IRTA-UAB, Carretera de Cabrils Km 2, 08348, Cabrils, Barcelona, Spain", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy", 
                "IRTA. Centre de Recerca en Agrigen\u00f2mica CSIC-IRTA-UAB, Carretera de Cabrils Km 2, 08348, Cabrils, Barcelona, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Eduardo", 
            "givenName": "Iban", 
            "id": "sg:person.01115235460.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115235460.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy", 
              "id": "http://www.grid.ac/institutes/grid.4708.b", 
              "name": [
                "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pacheco", 
            "givenName": "Igor", 
            "id": "sg:person.011341200731.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011341200731.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy", 
              "id": "http://www.grid.ac/institutes/grid.4708.b", 
              "name": [
                "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chietera", 
            "givenName": "Giorgiana", 
            "id": "sg:person.0716245165.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716245165.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy", 
              "id": "http://www.grid.ac/institutes/grid.4708.b", 
              "name": [
                "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bassi", 
            "givenName": "Daniele", 
            "id": "sg:person.0675303142.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675303142.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy", 
              "id": "http://www.grid.ac/institutes/grid.425375.2", 
              "name": [
                "Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pozzi", 
            "givenName": "Carlo", 
            "id": "sg:person.01327432256.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327432256.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy", 
              "id": "http://www.grid.ac/institutes/grid.425375.2", 
              "name": [
                "Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vecchietti", 
            "givenName": "Alberto", 
            "id": "sg:person.0611206543.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611206543.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy", 
              "id": "http://www.grid.ac/institutes/grid.4708.b", 
              "name": [
                "Dipartimento di Produzione Vegetale, Universit\u00e0 degli Studi di Milano, via Celoria 2, 20133, Milan, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rossini", 
            "givenName": "Laura", 
            "id": "sg:person.0743416342.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743416342.96"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1471-2229-9-59", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032891782", 
              "https://doi.org/10.1186/1471-2229-9-59"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1046/j.1365-2540.1998.00500.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025002755", 
              "https://doi.org/10.1046/j.1365-2540.1998.00500.x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1703-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025572234", 
              "https://doi.org/10.1007/s00122-004-1703-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-008-0193-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017967019", 
              "https://doi.org/10.1007/s11295-008-0193-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-008-9243-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021569225", 
              "https://doi.org/10.1007/s11032-008-9243-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00224093", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035971540", 
              "https://doi.org/10.1007/bf00224093"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-9-80", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010363721", 
              "https://doi.org/10.1186/1471-2164-9-80"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-006-0074-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013873246", 
              "https://doi.org/10.1007/s11295-006-0074-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-007-0130-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053139082", 
              "https://doi.org/10.1007/s11295-007-0130-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-006-0053-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052534677", 
              "https://doi.org/10.1007/s11295-006-0053-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-005-0006-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032776660", 
              "https://doi.org/10.1007/s00122-005-0006-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220050969", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009925903", 
              "https://doi.org/10.1007/s001220050969"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-1094-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013573859", 
              "https://doi.org/10.1007/s00122-002-1094-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-10-76", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007123069", 
              "https://doi.org/10.1186/1471-2164-10-76"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-0867-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016273111", 
              "https://doi.org/10.1007/s00122-002-0867-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0841-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016694026", 
              "https://doi.org/10.1007/s00122-001-0841-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-008-0140-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003571401", 
              "https://doi.org/10.1007/s11295-008-0140-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-10-587", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023769322", 
              "https://doi.org/10.1186/1471-2164-10-587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-7-15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052533012", 
              "https://doi.org/10.1186/1471-2229-7-15"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032151865", 
              "https://doi.org/10.1007/s001220051109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-005-0828-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042604249", 
              "https://doi.org/10.1007/s11032-005-0828-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-8-67", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050032437", 
              "https://doi.org/10.1186/1471-2229-8-67"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-008-0143-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050433392", 
              "https://doi.org/10.1007/s11295-008-0143-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016362667", 
              "https://doi.org/10.1007/s001220051035"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-008-0166-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037627741", 
              "https://doi.org/10.1007/s11295-008-0166-9"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-10-20", 
        "datePublishedReg": "2010-10-20", 
        "description": "Two intraspecific peach breeding populations have been used to conduct a quantitative trait locus (QTL) analysis of fruit quality traits: an F1 from the cross Bolero (B) x OroA (O) and an F2 from the cross Contender (C) x Ambra (A). A total of 344 Prunus simple sequence repeats (SSRs) were analyzed in B, O, C, A parents and CxA F1 hybrid. Eight SSR were mapped for the first time in peach. A multiplex-ready polymerase chain reaction (PCR) protocol has allowed considerable time and cost saving during genotyping steps. Two maps (B map and O map) were produced for BxO population following the pseudo-test cross strategy and one for CxA. No marker could be mapped on G6 for the B map, on G4 and G8 for the O map and on G5 for the CxA map. Both populations were phenotyped over 2\u00a0years for maturity date (MD), fruit weight, external fruit skin overcolor, juice total soluble solids (SSC, Brix degree), juice titrable acidity and juice pH. Data for blooming time and flower type were scored only for BxO in 2007. All traits had a normal distribution, except for MD which was bimodal in BxO and trimodal in CxA, where it was scored as a co-dominant trait. Up to two QTLs per trait were detected in each population, and most of them were located in the same region forming clusters of QTLs, especially on G4. This is likely due to a major pleiotropic effect of MD masking the identification of other QTLs for different traits.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s11295-010-0334-6", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1036007", 
            "issn": [
              "1614-2942", 
              "1614-2950"
            ], 
            "name": "Tree Genetics & Genomes", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "7"
          }
        ], 
        "keywords": [
          "simple sequence repeats", 
          "fruit quality traits", 
          "maturity date", 
          "quality traits", 
          "juice total soluble solids", 
          "quantitative trait locus (QTL) analysis", 
          "clusters of QTLs", 
          "total soluble solids", 
          "fruit weight", 
          "pleiotropic effects", 
          "QTL analysis", 
          "breeding population", 
          "different traits", 
          "sequence repeats", 
          "soluble solids", 
          "QTL", 
          "intraspecific populations", 
          "locus analysis", 
          "traits", 
          "major pleiotropic effects", 
          "flower types", 
          "titrable acidity", 
          "F1", 
          "polymerase chain reaction protocol", 
          "cross strategy", 
          "population", 
          "peach", 
          "Ambra", 
          "F2", 
          "same region", 
          "G6", 
          "G8", 
          "CXA", 
          "G5", 
          "acidity", 
          "weight", 
          "maps", 
          "G4", 
          "date", 
          "effect", 
          "parents", 
          "markers", 
          "juice", 
          "considerable time", 
          "region", 
          "years", 
          "strategies", 
          "importance", 
          "repeats", 
          "identification", 
          "total", 
          "first time", 
          "savings", 
          "time", 
          "solids", 
          "analysis", 
          "types", 
          "distribution", 
          "cost savings", 
          "normal distribution", 
          "data", 
          "clusters", 
          "protocol", 
          "step", 
          "reaction protocol", 
          "co-dominant trait", 
          "BXO", 
          "B maps", 
          "trimodal", 
          "O maps"
        ], 
        "name": "QTL analysis of fruit quality traits in two peach intraspecific populations and importance of maturity date pleiotropic effect", 
        "pagination": "323-335", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1046737458"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11295-010-0334-6"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11295-010-0334-6", 
          "https://app.dimensions.ai/details/publication/pub.1046737458"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:28", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_510.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s11295-010-0334-6"
      }
    ]
     

    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/s11295-010-0334-6'

    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/s11295-010-0334-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11295-010-0334-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11295-010-0334-6'


     

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

    276 TRIPLES      21 PREDICATES      119 URIs      86 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11295-010-0334-6 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N1bfa664d49924069a3129d67d5761bff
    4 schema:citation sg:pub.10.1007/bf00224093
    5 sg:pub.10.1007/s00122-001-0841-9
    6 sg:pub.10.1007/s00122-002-0867-7
    7 sg:pub.10.1007/s00122-002-1094-y
    8 sg:pub.10.1007/s00122-004-1703-z
    9 sg:pub.10.1007/s00122-005-0006-3
    10 sg:pub.10.1007/s001220050969
    11 sg:pub.10.1007/s001220051035
    12 sg:pub.10.1007/s001220051109
    13 sg:pub.10.1007/s11032-005-0828-3
    14 sg:pub.10.1007/s11032-008-9243-x
    15 sg:pub.10.1007/s11295-006-0053-1
    16 sg:pub.10.1007/s11295-006-0074-9
    17 sg:pub.10.1007/s11295-007-0130-0
    18 sg:pub.10.1007/s11295-008-0140-6
    19 sg:pub.10.1007/s11295-008-0143-3
    20 sg:pub.10.1007/s11295-008-0166-9
    21 sg:pub.10.1007/s11295-008-0193-6
    22 sg:pub.10.1046/j.1365-2540.1998.00500.x
    23 sg:pub.10.1186/1471-2164-10-587
    24 sg:pub.10.1186/1471-2164-10-76
    25 sg:pub.10.1186/1471-2164-9-80
    26 sg:pub.10.1186/1471-2229-7-15
    27 sg:pub.10.1186/1471-2229-8-67
    28 sg:pub.10.1186/1471-2229-9-59
    29 schema:datePublished 2010-10-20
    30 schema:datePublishedReg 2010-10-20
    31 schema:description Two intraspecific peach breeding populations have been used to conduct a quantitative trait locus (QTL) analysis of fruit quality traits: an F1 from the cross Bolero (B) x OroA (O) and an F2 from the cross Contender (C) x Ambra (A). A total of 344 Prunus simple sequence repeats (SSRs) were analyzed in B, O, C, A parents and CxA F1 hybrid. Eight SSR were mapped for the first time in peach. A multiplex-ready polymerase chain reaction (PCR) protocol has allowed considerable time and cost saving during genotyping steps. Two maps (B map and O map) were produced for BxO population following the pseudo-test cross strategy and one for CxA. No marker could be mapped on G6 for the B map, on G4 and G8 for the O map and on G5 for the CxA map. Both populations were phenotyped over 2 years for maturity date (MD), fruit weight, external fruit skin overcolor, juice total soluble solids (SSC, Brix degree), juice titrable acidity and juice pH. Data for blooming time and flower type were scored only for BxO in 2007. All traits had a normal distribution, except for MD which was bimodal in BxO and trimodal in CxA, where it was scored as a co-dominant trait. Up to two QTLs per trait were detected in each population, and most of them were located in the same region forming clusters of QTLs, especially on G4. This is likely due to a major pleiotropic effect of MD masking the identification of other QTLs for different traits.
    32 schema:genre article
    33 schema:isAccessibleForFree false
    34 schema:isPartOf N27d373ae6f6a47aeb24c91ff7bd99600
    35 Na766b56b2c27401786855f83a0a591f3
    36 sg:journal.1036007
    37 schema:keywords Ambra
    38 B maps
    39 BXO
    40 CXA
    41 F1
    42 F2
    43 G4
    44 G5
    45 G6
    46 G8
    47 O maps
    48 QTL
    49 QTL analysis
    50 acidity
    51 analysis
    52 breeding population
    53 clusters
    54 clusters of QTLs
    55 co-dominant trait
    56 considerable time
    57 cost savings
    58 cross strategy
    59 data
    60 date
    61 different traits
    62 distribution
    63 effect
    64 first time
    65 flower types
    66 fruit quality traits
    67 fruit weight
    68 identification
    69 importance
    70 intraspecific populations
    71 juice
    72 juice total soluble solids
    73 locus analysis
    74 major pleiotropic effects
    75 maps
    76 markers
    77 maturity date
    78 normal distribution
    79 parents
    80 peach
    81 pleiotropic effects
    82 polymerase chain reaction protocol
    83 population
    84 protocol
    85 quality traits
    86 quantitative trait locus (QTL) analysis
    87 reaction protocol
    88 region
    89 repeats
    90 same region
    91 savings
    92 sequence repeats
    93 simple sequence repeats
    94 solids
    95 soluble solids
    96 step
    97 strategies
    98 time
    99 titrable acidity
    100 total
    101 total soluble solids
    102 traits
    103 trimodal
    104 types
    105 weight
    106 years
    107 schema:name QTL analysis of fruit quality traits in two peach intraspecific populations and importance of maturity date pleiotropic effect
    108 schema:pagination 323-335
    109 schema:productId N13e8a20c858a4c4f969f0e73be32a5bc
    110 N1651f9183bed4ad78e69a4bcf83b29db
    111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046737458
    112 https://doi.org/10.1007/s11295-010-0334-6
    113 schema:sdDatePublished 2022-12-01T06:28
    114 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    115 schema:sdPublisher Nf28be7595df04c5f9a86eee351262993
    116 schema:url https://doi.org/10.1007/s11295-010-0334-6
    117 sgo:license sg:explorer/license/
    118 sgo:sdDataset articles
    119 rdf:type schema:ScholarlyArticle
    120 N13e8a20c858a4c4f969f0e73be32a5bc schema:name doi
    121 schema:value 10.1007/s11295-010-0334-6
    122 rdf:type schema:PropertyValue
    123 N1651f9183bed4ad78e69a4bcf83b29db schema:name dimensions_id
    124 schema:value pub.1046737458
    125 rdf:type schema:PropertyValue
    126 N1bfa664d49924069a3129d67d5761bff rdf:first sg:person.01115235460.40
    127 rdf:rest N8687999a4b8c4ba2aff3d56ced705a07
    128 N27d373ae6f6a47aeb24c91ff7bd99600 schema:issueNumber 2
    129 rdf:type schema:PublicationIssue
    130 N4679e154a2194fa3a7a1a0ad8ebf41d9 rdf:first sg:person.0743416342.96
    131 rdf:rest rdf:nil
    132 N5603ce2b5462497dbf3200963613e8b9 rdf:first sg:person.0611206543.70
    133 rdf:rest N4679e154a2194fa3a7a1a0ad8ebf41d9
    134 N84ec4a87b4ed49e198bd343159ff2e8d rdf:first sg:person.0716245165.23
    135 rdf:rest Nda240d187b2342cfacfd89f8ee66e510
    136 N8687999a4b8c4ba2aff3d56ced705a07 rdf:first sg:person.011341200731.89
    137 rdf:rest N84ec4a87b4ed49e198bd343159ff2e8d
    138 Na766b56b2c27401786855f83a0a591f3 schema:volumeNumber 7
    139 rdf:type schema:PublicationVolume
    140 Nd095e77005fd45d69dbc792788325abb rdf:first sg:person.01327432256.15
    141 rdf:rest N5603ce2b5462497dbf3200963613e8b9
    142 Nda240d187b2342cfacfd89f8ee66e510 rdf:first sg:person.0675303142.98
    143 rdf:rest Nd095e77005fd45d69dbc792788325abb
    144 Nf28be7595df04c5f9a86eee351262993 schema:name Springer Nature - SN SciGraph project
    145 rdf:type schema:Organization
    146 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    147 schema:name Biological Sciences
    148 rdf:type schema:DefinedTerm
    149 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    150 schema:name Genetics
    151 rdf:type schema:DefinedTerm
    152 sg:journal.1036007 schema:issn 1614-2942
    153 1614-2950
    154 schema:name Tree Genetics & Genomes
    155 schema:publisher Springer Nature
    156 rdf:type schema:Periodical
    157 sg:person.01115235460.40 schema:affiliation grid-institutes:None
    158 schema:familyName Eduardo
    159 schema:givenName Iban
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115235460.40
    161 rdf:type schema:Person
    162 sg:person.011341200731.89 schema:affiliation grid-institutes:grid.4708.b
    163 schema:familyName Pacheco
    164 schema:givenName Igor
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011341200731.89
    166 rdf:type schema:Person
    167 sg:person.01327432256.15 schema:affiliation grid-institutes:grid.425375.2
    168 schema:familyName Pozzi
    169 schema:givenName Carlo
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327432256.15
    171 rdf:type schema:Person
    172 sg:person.0611206543.70 schema:affiliation grid-institutes:grid.425375.2
    173 schema:familyName Vecchietti
    174 schema:givenName Alberto
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611206543.70
    176 rdf:type schema:Person
    177 sg:person.0675303142.98 schema:affiliation grid-institutes:grid.4708.b
    178 schema:familyName Bassi
    179 schema:givenName Daniele
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675303142.98
    181 rdf:type schema:Person
    182 sg:person.0716245165.23 schema:affiliation grid-institutes:grid.4708.b
    183 schema:familyName Chietera
    184 schema:givenName Giorgiana
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716245165.23
    186 rdf:type schema:Person
    187 sg:person.0743416342.96 schema:affiliation grid-institutes:grid.4708.b
    188 schema:familyName Rossini
    189 schema:givenName Laura
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743416342.96
    191 rdf:type schema:Person
    192 sg:pub.10.1007/bf00224093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035971540
    193 https://doi.org/10.1007/bf00224093
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s00122-001-0841-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016694026
    196 https://doi.org/10.1007/s00122-001-0841-9
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s00122-002-0867-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016273111
    199 https://doi.org/10.1007/s00122-002-0867-7
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s00122-002-1094-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1013573859
    202 https://doi.org/10.1007/s00122-002-1094-y
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s00122-004-1703-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025572234
    205 https://doi.org/10.1007/s00122-004-1703-z
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1007/s00122-005-0006-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032776660
    208 https://doi.org/10.1007/s00122-005-0006-3
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s001220050969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009925903
    211 https://doi.org/10.1007/s001220050969
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s001220051035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016362667
    214 https://doi.org/10.1007/s001220051035
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/s001220051109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032151865
    217 https://doi.org/10.1007/s001220051109
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1007/s11032-005-0828-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042604249
    220 https://doi.org/10.1007/s11032-005-0828-3
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1007/s11032-008-9243-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021569225
    223 https://doi.org/10.1007/s11032-008-9243-x
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1007/s11295-006-0053-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052534677
    226 https://doi.org/10.1007/s11295-006-0053-1
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1007/s11295-006-0074-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013873246
    229 https://doi.org/10.1007/s11295-006-0074-9
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1007/s11295-007-0130-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053139082
    232 https://doi.org/10.1007/s11295-007-0130-0
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1007/s11295-008-0140-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003571401
    235 https://doi.org/10.1007/s11295-008-0140-6
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1007/s11295-008-0143-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050433392
    238 https://doi.org/10.1007/s11295-008-0143-3
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1007/s11295-008-0166-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037627741
    241 https://doi.org/10.1007/s11295-008-0166-9
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1007/s11295-008-0193-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017967019
    244 https://doi.org/10.1007/s11295-008-0193-6
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1046/j.1365-2540.1998.00500.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025002755
    247 https://doi.org/10.1046/j.1365-2540.1998.00500.x
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1186/1471-2164-10-587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023769322
    250 https://doi.org/10.1186/1471-2164-10-587
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1186/1471-2164-10-76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007123069
    253 https://doi.org/10.1186/1471-2164-10-76
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1186/1471-2164-9-80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010363721
    256 https://doi.org/10.1186/1471-2164-9-80
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1186/1471-2229-7-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052533012
    259 https://doi.org/10.1186/1471-2229-7-15
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1186/1471-2229-8-67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050032437
    262 https://doi.org/10.1186/1471-2229-8-67
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1186/1471-2229-9-59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032891782
    265 https://doi.org/10.1186/1471-2229-9-59
    266 rdf:type schema:CreativeWork
    267 grid-institutes:None schema:alternateName IRTA. Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB, Carretera de Cabrils Km 2, 08348, Cabrils, Barcelona, Spain
    268 schema:name IRTA. Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB, Carretera de Cabrils Km 2, 08348, Cabrils, Barcelona, Spain
    269 Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy
    270 rdf:type schema:Organization
    271 grid-institutes:grid.425375.2 schema:alternateName Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy
    272 schema:name Parco Tecnologico Padano, via Einstein, Loc. Cascina Codazza, 26900, Lodi, Italy
    273 rdf:type schema:Organization
    274 grid-institutes:grid.4708.b schema:alternateName Dipartimento di Produzione Vegetale, Università degli Studi di Milano, via Celoria 2, 20133, Milan, Italy
    275 schema:name Dipartimento di Produzione Vegetale, Università degli Studi di Milano, via Celoria 2, 20133, Milan, Italy
    276 rdf:type schema:Organization
     




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


    ...