Identifying SNP markers tightly associated with six major genes in peach [Prunus persica (L.) Batsch] using a high-density SNP array ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-11-23

AUTHORS

Patrick Lambert, Jose Antonio Campoy, Igor Pacheco, Jehan-Baptiste Mauroux, Cassia Da Silva Linge, Diego Micheletti, Daniele Bassi, Laura Rossini, Elisabeth Dirlewanger, Thierry Pascal, Michela Troggio, Maria Jose Aranzana, Andrea Patocchi, Pere Arús

ABSTRACT

One of the applications of genomics is to identify genetic markers linked to loci responsible for variation in phenotypic traits, which could be used in breeding programs to select individuals with favorable alleles, particularly at the seedling stage. With this aim, in the framework of the European project FruitBreedomics, we selected five main peach fruit characters and a resistance trait, controlled by major genes with Mendelian inheritance: fruit flesh color Y, fruit skin pubescence G, fruit shape S, sub-acid fruit D, stone adhesion-flesh texture F-M, and resistance to green peach aphid Rm2. They were all previously mapped in Prunus. We then selected three F1 and three F2 progenies segregating for these characters and developed genetic maps of the linkage groups including the major genes, using the single nucleotide polymorphism (SNP) genome-wide scans obtained with the International Peach SNP Consortium (IPSC) 9K SNP array v1. We identified SNPs co-segregating with the characters in all cases. Their positions were in agreement with the known positions of the major genes. The number of SNPs linked to each of these, as well as the size of the physical regions encompassing them, varied depending on the maps. As a result, the number of useful SNPs for marker-assisted selection varied accordingly. As a whole, this study establishes a sound basis for further development of MAS on these characters. Additionally, we also discussed some limitations that were observed regarding the SNP array efficiency. More... »

PAGES

121

References to SciGraph publications

  • 2009-12-08. A fruit quality gene map of Prunus in BMC GENOMICS
  • 2014-06-15. QTL mapping for brown rot (Monilinia fructigena) resistance in an intraspecific peach (Prunus persica L. Batsch) F1 progeny in TREE GENETICS & GENOMES
  • 2005-08. Endopolygalacturonase: a Candidate Gene for Freestone and Melting Fleshin Peach in MOLECULAR BREEDING
  • 2009. Peach Structural Genomics in GENETICS AND GENOMICS OF ROSACEAE
  • 2013-09-07. Quantitative Trait Loci (QTL) and Mendelian Trait Loci (MTL) Analysis in Prunus: a Breeding Perspective and Beyond in PLANT MOLECULAR BIOLOGY REPORTER
  • 2015-04-17. Mapping of a major gene for the slow ripening character in peach: co-location with the maturity date gene and development of a candidate gene-based diagnostic marker for its selection in EUPHYTICA
  • 1994-02. Targeted mapping and linkage analysis of morphological isozyme, and RAPD markers in peach in THEORETICAL AND APPLIED GENETICS
  • 2012-08-05. Genetic dissection of aroma volatile compounds from the essential oil of peach fruit: QTL analysis and identification of candidate genes using dense SNP maps in TREE GENETICS & GENOMES
  • 2008-04-08. A framework physical map for peach, a model Rosaceae species 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
  • 2012-03-28. The peach genome in TREE GENETICS & GENOMES
  • 2012-11-29. Mapping quantitative trait loci associated with resistance to bacterial spot (Xanthomonas arboricola pv. pruni) in peach in TREE GENETICS & GENOMES
  • 2014. Comparative population genomics reveals the domestication history of the peach, in GENOME BIOLOGY
  • 2013-07-24. Identifying a Carotenoid Cleavage Dioxygenase (ccd4) Gene Controlling Yellow/White Fruit Flesh Color of Peach in PLANT MOLECULAR BIOLOGY REPORTER
  • 2013-09-16. Peach genetic resources: diversity, population structure and linkage disequilibrium in BMC GENOMIC DATA
  • 2001-05. Constructing dense genetic linkage maps in THEORETICAL AND APPLIED GENETICS
  • 2014-08-30. Development of diagnostic markers for selection of the subacid trait in peach in TREE GENETICS & GENOMES
  • 2015-02-06. Genetic dissection of fruit weight and size in an F2 peach (Prunus persica (L.) Batsch) progeny in MOLECULAR BREEDING
  • 2015-05-06. High-density mapping suggests cytoplasmic male sterility with two restorer genes in almond × peach progenies in HORTICULTURE RESEARCH
  • 2012-06-24. High density SNP mapping and QTL analysis for fruit quality characteristics in peach (Prunus persica L.) in TREE GENETICS & GENOMES
  • 2011-05-11. Mapping Rm2 gene conferring resistance to the green peach aphid (Myzus persicae Sulzer) in the peach cultivar “Rubira®” in TREE GENETICS & GENOMES
  • 2010-07-20. Genetic variation, population structure and linkage disequilibrium in peach commercial varieties in BMC GENOMIC DATA
  • 2013-08-21. Characterization and genetic mapping of a new blood-flesh trait controlled by the single dominant locus DBF in peach in TREE GENETICS & GENOMES
  • 2009-05-15. Phenotypic and fine genetic characterization of the D locus controlling fruit acidity in peach in BMC PLANT BIOLOGY
  • 2014-07-31. Comparative population genomics reveals the domestication history of the peach, Prunus persica, and human influences on perennial fruit crops in GENOME BIOLOGY
  • 2009. Genomics Approaches to Crop Improvement in the Rosaceae in GENETICS AND GENOMICS OF ROSACEAE
  • 2012-12-06. Combining linkage and association mapping to search for markers linked to the flat fruit character in peach in EUPHYTICA
  • 2014-08-30. Potential for marker-assisted selection for forest tree breeding: lessons from 20 years of MAS in crops in TREE GENETICS & GENOMES
  • 1996-10. Utility of RAPD markers in identifying genetic linkages to genes of economic interest in peach in THEORETICAL AND APPLIED GENETICS
  • 2013-03-24. The high-quality draft genome of peach (Prunus persica) identifies unique patterns of genetic diversity, domestication and genome evolution in NATURE GENETICS
  • 2014-01-10. Mapping quantitative trait loci associated with blush in peach [Prunus persica (L.) Batsch] in TREE GENETICS & GENOMES
  • 2011-11-22. Whole genome sequencing of peach (Prunus persica L.) for SNP identification and selection in BMC GENOMICS
  • 2015-01-24. Current applications, challenges, and perspectives of marker-assisted seedling selection in Rosaceae tree fruit breeding in TREE GENETICS & GENOMES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11295-016-1080-1

    DOI

    http://dx.doi.org/10.1007/s11295-016-1080-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1019412410


    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": "GAFL, INRA, 84140, Montfavet, France", 
              "id": "http://www.grid.ac/institutes/grid.464148.b", 
              "name": [
                "GAFL, INRA, 84140, Montfavet, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lambert", 
            "givenName": "Patrick", 
            "id": "sg:person.01325405564.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325405564.55"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "UMR 1332 B.P. INRA, Univ. Bordeaux, 33140, Villenave d\u2019Ornon, France", 
              "id": "http://www.grid.ac/institutes/grid.412041.2", 
              "name": [
                "UMR 1332 B.P. INRA, Univ. Bordeaux, 33140, Villenave d\u2019Ornon, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Campoy", 
            "givenName": "Jose Antonio", 
            "id": "sg:person.01315156424.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315156424.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "INTA, Universidad de Chile, Avenida El L\u0131\u0301bano, 5524 Macul, Santiago, Chile", 
              "id": "http://www.grid.ac/institutes/grid.443909.3", 
              "name": [
                "Universit\u00e0 degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy", 
                "INTA, Universidad de Chile, Avenida El L\u0131\u0301bano, 5524 Macul, Santiago, Chile"
              ], 
              "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": "GAFL, INRA, 84140, Montfavet, France", 
              "id": "http://www.grid.ac/institutes/grid.464148.b", 
              "name": [
                "GAFL, INRA, 84140, Montfavet, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mauroux", 
            "givenName": "Jehan-Baptiste", 
            "id": "sg:person.0666400707.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666400707.91"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universit\u00e0 degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy", 
              "id": "http://www.grid.ac/institutes/grid.4708.b", 
              "name": [
                "Universit\u00e0 degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Da Silva Linge", 
            "givenName": "Cassia", 
            "id": "sg:person.01122117042.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122117042.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all\u2019Adige, TN, Italy", 
              "id": "http://www.grid.ac/institutes/grid.424414.3", 
              "name": [
                "IRTA, Centre de Recerca en Agrigen\u00f2mica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vall\u00e8s), 08193, Barcelona, Spain", 
                "Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all\u2019Adige, TN, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Micheletti", 
            "givenName": "Diego", 
            "id": "sg:person.01202656774.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202656774.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universit\u00e0 degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy", 
              "id": "http://www.grid.ac/institutes/grid.4708.b", 
              "name": [
                "Universit\u00e0 degli Studi di Milano, DiSAA, 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. C.na Codazza, 26900, Lodi, Italy", 
              "id": "http://www.grid.ac/institutes/grid.425375.2", 
              "name": [
                "Universit\u00e0 degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy", 
                "Parco Tecnologico Padano, Via Einstein, Loc. C.na Codazza, 26900, Lodi, 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"
          }, 
          {
            "affiliation": {
              "alternateName": "UMR 1332 B.P. INRA, Univ. Bordeaux, 33140, Villenave d\u2019Ornon, France", 
              "id": "http://www.grid.ac/institutes/grid.412041.2", 
              "name": [
                "UMR 1332 B.P. INRA, Univ. Bordeaux, 33140, Villenave d\u2019Ornon, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dirlewanger", 
            "givenName": "Elisabeth", 
            "id": "sg:person.01002757153.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002757153.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "GAFL, INRA, 84140, Montfavet, France", 
              "id": "http://www.grid.ac/institutes/grid.464148.b", 
              "name": [
                "GAFL, INRA, 84140, Montfavet, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pascal", 
            "givenName": "Thierry", 
            "id": "sg:person.015010565775.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015010565775.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all\u2019Adige, TN, Italy", 
              "id": "http://www.grid.ac/institutes/grid.424414.3", 
              "name": [
                "Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all\u2019Adige, TN, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Troggio", 
            "givenName": "Michela", 
            "id": "sg:person.0751113127.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751113127.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "IRTA, Centre de Recerca en Agrigen\u00f2mica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vall\u00e8s), 08193, Barcelona, Spain", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "IRTA, Centre de Recerca en Agrigen\u00f2mica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vall\u00e8s), 08193, Barcelona, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Aranzana", 
            "givenName": "Maria Jose", 
            "id": "sg:person.0662462113.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662462113.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research Station Agroscope, Schloss 1 Postfach, 8820, W\u00e4denswil, Switzerland", 
              "id": "http://www.grid.ac/institutes/grid.417771.3", 
              "name": [
                "Research Station Agroscope, Schloss 1 Postfach, 8820, W\u00e4denswil, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Patocchi", 
            "givenName": "Andrea", 
            "id": "sg:person.01003551227.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003551227.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "IRTA, Centre de Recerca en Agrigen\u00f2mica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vall\u00e8s), 08193, Barcelona, Spain", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "IRTA, Centre de Recerca en Agrigen\u00f2mica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vall\u00e8s), 08193, Barcelona, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ar\u00fas", 
            "givenName": "Pere", 
            "id": "sg:person.01364214441.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364214441.13"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11295-015-0834-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007623265", 
              "https://doi.org/10.1007/s11295-015-0834-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2586", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040618371", 
              "https://doi.org/10.1038/ng.2586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-015-0271-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045117530", 
              "https://doi.org/10.1007/s11032-015-0271-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-387-77491-6_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018612899", 
              "https://doi.org/10.1007/978-0-387-77491-6_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00221132", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050202321", 
              "https://doi.org/10.1007/bf00221132"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0415-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027565495", 
              "https://doi.org/10.1186/s13059-014-0415-1"
            ], 
            "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.10.1007/s11295-011-0394-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008180999", 
              "https://doi.org/10.1007/s11295-011-0394-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/preaccept-1190140987122406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064134373", 
              "https://doi.org/10.1186/preaccept-1190140987122406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2156-14-84", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001470554", 
              "https://doi.org/10.1186/1471-2156-14-84"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00224094", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002974918", 
              "https://doi.org/10.1007/bf00224094"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-012-0522-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021231798", 
              "https://doi.org/10.1007/s11295-012-0522-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hortres.2015.16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007083705", 
              "https://doi.org/10.1038/hortres.2015.16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-012-0580-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044453669", 
              "https://doi.org/10.1007/s11295-012-0580-x"
            ], 
            "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/s11295-008-0147-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013578590", 
              "https://doi.org/10.1007/s11295-008-0147-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220000489", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048340922", 
              "https://doi.org/10.1007/s001220000489"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "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.10.1007/s11295-014-0790-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023967939", 
              "https://doi.org/10.1007/s11295-014-0790-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-012-0546-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017104316", 
              "https://doi.org/10.1007/s11295-012-0546-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-012-0844-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051627533", 
              "https://doi.org/10.1007/s10681-012-0844-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-014-0756-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020807929", 
              "https://doi.org/10.1007/s11295-014-0756-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-013-0649-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024791293", 
              "https://doi.org/10.1007/s11295-013-0649-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-014-0789-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025313289", 
              "https://doi.org/10.1007/s11295-014-0789-y"
            ], 
            "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.10.1186/1471-2156-11-69", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041517248", 
              "https://doi.org/10.1186/1471-2156-11-69"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-013-0692-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025263735", 
              "https://doi.org/10.1007/s11295-013-0692-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-387-77491-6_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028777865", 
              "https://doi.org/10.1007/978-0-387-77491-6_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-012-0493-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052914679", 
              "https://doi.org/10.1007/s11295-012-0493-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11105-013-0643-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012386614", 
              "https://doi.org/10.1007/s11105-013-0643-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11105-013-0628-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003610985", 
              "https://doi.org/10.1007/s11105-013-0628-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-12-569", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053552199", 
              "https://doi.org/10.1186/1471-2164-12-569"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-015-1445-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021339655", 
              "https://doi.org/10.1007/s10681-015-1445-9"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-11-23", 
        "datePublishedReg": "2016-11-23", 
        "description": "One of the applications of genomics is to identify genetic markers linked to loci responsible for variation in phenotypic traits, which could be used in breeding programs to select individuals with favorable alleles, particularly at the seedling stage. With this aim, in the framework of the European project FruitBreedomics, we selected five main peach fruit characters and a resistance trait, controlled by major genes with Mendelian inheritance: fruit flesh color Y, fruit skin pubescence G, fruit shape S, sub-acid fruit D, stone adhesion-flesh texture F-M, and resistance to green peach aphid Rm2. They were all previously mapped in Prunus. We then selected three F1 and three F2 progenies segregating for these characters and developed genetic maps of the linkage groups including the major genes, using the single nucleotide polymorphism (SNP) genome-wide scans obtained with the International Peach SNP Consortium (IPSC) 9K SNP array v1. We identified SNPs co-segregating with the characters in all cases. Their positions were in agreement with the known positions of the major genes. The number of SNPs linked to each of these, as well as the size of the physical regions encompassing them, varied depending on the maps. As a result, the number of useful SNPs for marker-assisted selection varied accordingly. As a whole, this study establishes a sound basis for further development of MAS on these characters. Additionally, we also discussed some limitations that were observed regarding the SNP array efficiency.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s11295-016-1080-1", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1036007", 
            "issn": [
              "1614-2942", 
              "1614-2950"
            ], 
            "name": "Tree Genetics & Genomes", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "12"
          }
        ], 
        "keywords": [
          "marker-assisted selection", 
          "major gene", 
          "high-density SNP array", 
          "genome-wide scan", 
          "application of genomics", 
          "number of SNPs", 
          "genetic map", 
          "SNP markers", 
          "linkage groups", 
          "phenotypic traits", 
          "favorable alleles", 
          "resistance traits", 
          "breeding programs", 
          "SNP array", 
          "F2 progeny", 
          "fruit characters", 
          "Mendelian inheritance", 
          "genetic markers", 
          "genes", 
          "SNPs", 
          "useful SNPs", 
          "traits", 
          "genomics", 
          "Prunus", 
          "progeny", 
          "markers", 
          "alleles", 
          "inheritance", 
          "selection", 
          "character", 
          "peach", 
          "F1", 
          "physical region", 
          "sound basis", 
          "region", 
          "variation", 
          "maps", 
          "resistance", 
          "number", 
          "shape S", 
          "stage", 
          "development", 
          "basis", 
          "individuals", 
          "further development", 
          "position", 
          "array", 
          "size", 
          "study", 
          "RM2", 
          "objective", 
          "results", 
          "limitations", 
          "efficiency", 
          "group", 
          "program", 
          "whole", 
          "V1", 
          "applications", 
          "aim", 
          "array efficiency", 
          "framework", 
          "cases", 
          "agreement", 
          "scans"
        ], 
        "name": "Identifying SNP markers tightly associated with six major genes in peach [Prunus persica (L.) Batsch] using a high-density SNP array with an objective of marker-assisted selection (MAS)", 
        "pagination": "121", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1019412410"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11295-016-1080-1"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11295-016-1080-1", 
          "https://app.dimensions.ai/details/publication/pub.1019412410"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:34", 
        "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_707.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s11295-016-1080-1"
      }
    ]
     

    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/s11295-016-1080-1'

    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/s11295-016-1080-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11295-016-1080-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11295-016-1080-1'


     

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

    369 TRIPLES      21 PREDICATES      122 URIs      81 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11295-016-1080-1 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N18e9e140078c4d3e91c8cc645dbd6c00
    4 schema:citation sg:pub.10.1007/978-0-387-77491-6_11
    5 sg:pub.10.1007/978-0-387-77491-6_2
    6 sg:pub.10.1007/bf00221132
    7 sg:pub.10.1007/bf00224094
    8 sg:pub.10.1007/s001220000489
    9 sg:pub.10.1007/s10681-012-0844-4
    10 sg:pub.10.1007/s10681-015-1445-9
    11 sg:pub.10.1007/s11032-005-0828-3
    12 sg:pub.10.1007/s11032-015-0271-z
    13 sg:pub.10.1007/s11105-013-0628-6
    14 sg:pub.10.1007/s11105-013-0643-7
    15 sg:pub.10.1007/s11295-006-0053-1
    16 sg:pub.10.1007/s11295-008-0147-z
    17 sg:pub.10.1007/s11295-011-0394-2
    18 sg:pub.10.1007/s11295-012-0493-8
    19 sg:pub.10.1007/s11295-012-0522-7
    20 sg:pub.10.1007/s11295-012-0546-z
    21 sg:pub.10.1007/s11295-012-0580-x
    22 sg:pub.10.1007/s11295-013-0649-1
    23 sg:pub.10.1007/s11295-013-0692-y
    24 sg:pub.10.1007/s11295-014-0756-7
    25 sg:pub.10.1007/s11295-014-0789-y
    26 sg:pub.10.1007/s11295-014-0790-5
    27 sg:pub.10.1007/s11295-015-0834-5
    28 sg:pub.10.1038/hortres.2015.16
    29 sg:pub.10.1038/ng.2586
    30 sg:pub.10.1186/1471-2156-11-69
    31 sg:pub.10.1186/1471-2156-14-84
    32 sg:pub.10.1186/1471-2164-10-587
    33 sg:pub.10.1186/1471-2164-12-569
    34 sg:pub.10.1186/1471-2229-9-59
    35 sg:pub.10.1186/preaccept-1190140987122406
    36 sg:pub.10.1186/s13059-014-0415-1
    37 schema:datePublished 2016-11-23
    38 schema:datePublishedReg 2016-11-23
    39 schema:description One of the applications of genomics is to identify genetic markers linked to loci responsible for variation in phenotypic traits, which could be used in breeding programs to select individuals with favorable alleles, particularly at the seedling stage. With this aim, in the framework of the European project FruitBreedomics, we selected five main peach fruit characters and a resistance trait, controlled by major genes with Mendelian inheritance: fruit flesh color Y, fruit skin pubescence G, fruit shape S, sub-acid fruit D, stone adhesion-flesh texture F-M, and resistance to green peach aphid Rm2. They were all previously mapped in Prunus. We then selected three F1 and three F2 progenies segregating for these characters and developed genetic maps of the linkage groups including the major genes, using the single nucleotide polymorphism (SNP) genome-wide scans obtained with the International Peach SNP Consortium (IPSC) 9K SNP array v1. We identified SNPs co-segregating with the characters in all cases. Their positions were in agreement with the known positions of the major genes. The number of SNPs linked to each of these, as well as the size of the physical regions encompassing them, varied depending on the maps. As a result, the number of useful SNPs for marker-assisted selection varied accordingly. As a whole, this study establishes a sound basis for further development of MAS on these characters. Additionally, we also discussed some limitations that were observed regarding the SNP array efficiency.
    40 schema:genre article
    41 schema:isAccessibleForFree false
    42 schema:isPartOf N4e5580b46f2e4ada96d7555f4918d6c8
    43 N64ba25b3b8ce4ed2a177249ea5f407c6
    44 sg:journal.1036007
    45 schema:keywords F1
    46 F2 progeny
    47 Mendelian inheritance
    48 Prunus
    49 RM2
    50 SNP array
    51 SNP markers
    52 SNPs
    53 V1
    54 agreement
    55 aim
    56 alleles
    57 application of genomics
    58 applications
    59 array
    60 array efficiency
    61 basis
    62 breeding programs
    63 cases
    64 character
    65 development
    66 efficiency
    67 favorable alleles
    68 framework
    69 fruit characters
    70 further development
    71 genes
    72 genetic map
    73 genetic markers
    74 genome-wide scan
    75 genomics
    76 group
    77 high-density SNP array
    78 individuals
    79 inheritance
    80 limitations
    81 linkage groups
    82 major gene
    83 maps
    84 marker-assisted selection
    85 markers
    86 number
    87 number of SNPs
    88 objective
    89 peach
    90 phenotypic traits
    91 physical region
    92 position
    93 progeny
    94 program
    95 region
    96 resistance
    97 resistance traits
    98 results
    99 scans
    100 selection
    101 shape S
    102 size
    103 sound basis
    104 stage
    105 study
    106 traits
    107 useful SNPs
    108 variation
    109 whole
    110 schema:name Identifying SNP markers tightly associated with six major genes in peach [Prunus persica (L.) Batsch] using a high-density SNP array with an objective of marker-assisted selection (MAS)
    111 schema:pagination 121
    112 schema:productId N09f2c854eaef4e0293d787fa6bddf53b
    113 N8fbec62eaff342e7ab1453cbabd1ef53
    114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019412410
    115 https://doi.org/10.1007/s11295-016-1080-1
    116 schema:sdDatePublished 2022-12-01T06:34
    117 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    118 schema:sdPublisher N95a190e4aa9a4640bc97212aea42850b
    119 schema:url https://doi.org/10.1007/s11295-016-1080-1
    120 sgo:license sg:explorer/license/
    121 sgo:sdDataset articles
    122 rdf:type schema:ScholarlyArticle
    123 N05252500067048f489a3983c1fd7a7bd rdf:first sg:person.01364214441.13
    124 rdf:rest rdf:nil
    125 N09f2c854eaef4e0293d787fa6bddf53b schema:name dimensions_id
    126 schema:value pub.1019412410
    127 rdf:type schema:PropertyValue
    128 N0a9ef4b6cab34e1a8d5157d636729c71 rdf:first sg:person.01122117042.34
    129 rdf:rest Nc775de9c30be4008b916dca54407d7f6
    130 N0cbbb0ac1dba4e279d0b2028682f4a96 rdf:first sg:person.01003551227.11
    131 rdf:rest N05252500067048f489a3983c1fd7a7bd
    132 N18e9e140078c4d3e91c8cc645dbd6c00 rdf:first sg:person.01325405564.55
    133 rdf:rest N5b5e86d8067e430d93ac06f920ec2631
    134 N1d99d0f1208c43d6a06bd3c02b47c487 rdf:first sg:person.0743416342.96
    135 rdf:rest N54d5a9bf178e4f158232b0738a539e1f
    136 N2299369f3c774a0a8f92f854edde06a7 rdf:first sg:person.0675303142.98
    137 rdf:rest N1d99d0f1208c43d6a06bd3c02b47c487
    138 N4e5580b46f2e4ada96d7555f4918d6c8 schema:volumeNumber 12
    139 rdf:type schema:PublicationVolume
    140 N54d5a9bf178e4f158232b0738a539e1f rdf:first sg:person.01002757153.10
    141 rdf:rest N5da23697c7be4dcfbf526b302c1b6fd3
    142 N5b5e86d8067e430d93ac06f920ec2631 rdf:first sg:person.01315156424.20
    143 rdf:rest N7c1687662a56476285d909008cc78aa2
    144 N5da23697c7be4dcfbf526b302c1b6fd3 rdf:first sg:person.015010565775.99
    145 rdf:rest Nb171cc8e7dda4a40806e8b1aa53e8944
    146 N64ba25b3b8ce4ed2a177249ea5f407c6 schema:issueNumber 6
    147 rdf:type schema:PublicationIssue
    148 N7c1687662a56476285d909008cc78aa2 rdf:first sg:person.011341200731.89
    149 rdf:rest Nd40028a2b45041ebbd2b07ebf701b5a4
    150 N83753e42f1e14a4bb4df03ebee4f57c5 rdf:first sg:person.0662462113.36
    151 rdf:rest N0cbbb0ac1dba4e279d0b2028682f4a96
    152 N8fbec62eaff342e7ab1453cbabd1ef53 schema:name doi
    153 schema:value 10.1007/s11295-016-1080-1
    154 rdf:type schema:PropertyValue
    155 N95a190e4aa9a4640bc97212aea42850b schema:name Springer Nature - SN SciGraph project
    156 rdf:type schema:Organization
    157 Nb171cc8e7dda4a40806e8b1aa53e8944 rdf:first sg:person.0751113127.97
    158 rdf:rest N83753e42f1e14a4bb4df03ebee4f57c5
    159 Nc775de9c30be4008b916dca54407d7f6 rdf:first sg:person.01202656774.26
    160 rdf:rest N2299369f3c774a0a8f92f854edde06a7
    161 Nd40028a2b45041ebbd2b07ebf701b5a4 rdf:first sg:person.0666400707.91
    162 rdf:rest N0a9ef4b6cab34e1a8d5157d636729c71
    163 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    164 schema:name Biological Sciences
    165 rdf:type schema:DefinedTerm
    166 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    167 schema:name Genetics
    168 rdf:type schema:DefinedTerm
    169 sg:journal.1036007 schema:issn 1614-2942
    170 1614-2950
    171 schema:name Tree Genetics & Genomes
    172 schema:publisher Springer Nature
    173 rdf:type schema:Periodical
    174 sg:person.01002757153.10 schema:affiliation grid-institutes:grid.412041.2
    175 schema:familyName Dirlewanger
    176 schema:givenName Elisabeth
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002757153.10
    178 rdf:type schema:Person
    179 sg:person.01003551227.11 schema:affiliation grid-institutes:grid.417771.3
    180 schema:familyName Patocchi
    181 schema:givenName Andrea
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003551227.11
    183 rdf:type schema:Person
    184 sg:person.01122117042.34 schema:affiliation grid-institutes:grid.4708.b
    185 schema:familyName Da Silva Linge
    186 schema:givenName Cassia
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122117042.34
    188 rdf:type schema:Person
    189 sg:person.011341200731.89 schema:affiliation grid-institutes:grid.443909.3
    190 schema:familyName Pacheco
    191 schema:givenName Igor
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011341200731.89
    193 rdf:type schema:Person
    194 sg:person.01202656774.26 schema:affiliation grid-institutes:grid.424414.3
    195 schema:familyName Micheletti
    196 schema:givenName Diego
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202656774.26
    198 rdf:type schema:Person
    199 sg:person.01315156424.20 schema:affiliation grid-institutes:grid.412041.2
    200 schema:familyName Campoy
    201 schema:givenName Jose Antonio
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315156424.20
    203 rdf:type schema:Person
    204 sg:person.01325405564.55 schema:affiliation grid-institutes:grid.464148.b
    205 schema:familyName Lambert
    206 schema:givenName Patrick
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325405564.55
    208 rdf:type schema:Person
    209 sg:person.01364214441.13 schema:affiliation grid-institutes:None
    210 schema:familyName Arús
    211 schema:givenName Pere
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364214441.13
    213 rdf:type schema:Person
    214 sg:person.015010565775.99 schema:affiliation grid-institutes:grid.464148.b
    215 schema:familyName Pascal
    216 schema:givenName Thierry
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015010565775.99
    218 rdf:type schema:Person
    219 sg:person.0662462113.36 schema:affiliation grid-institutes:None
    220 schema:familyName Aranzana
    221 schema:givenName Maria Jose
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662462113.36
    223 rdf:type schema:Person
    224 sg:person.0666400707.91 schema:affiliation grid-institutes:grid.464148.b
    225 schema:familyName Mauroux
    226 schema:givenName Jehan-Baptiste
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666400707.91
    228 rdf:type schema:Person
    229 sg:person.0675303142.98 schema:affiliation grid-institutes:grid.4708.b
    230 schema:familyName Bassi
    231 schema:givenName Daniele
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675303142.98
    233 rdf:type schema:Person
    234 sg:person.0743416342.96 schema:affiliation grid-institutes:grid.425375.2
    235 schema:familyName Rossini
    236 schema:givenName Laura
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743416342.96
    238 rdf:type schema:Person
    239 sg:person.0751113127.97 schema:affiliation grid-institutes:grid.424414.3
    240 schema:familyName Troggio
    241 schema:givenName Michela
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751113127.97
    243 rdf:type schema:Person
    244 sg:pub.10.1007/978-0-387-77491-6_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018612899
    245 https://doi.org/10.1007/978-0-387-77491-6_11
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1007/978-0-387-77491-6_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028777865
    248 https://doi.org/10.1007/978-0-387-77491-6_2
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1007/bf00221132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050202321
    251 https://doi.org/10.1007/bf00221132
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1007/bf00224094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002974918
    254 https://doi.org/10.1007/bf00224094
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1007/s001220000489 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048340922
    257 https://doi.org/10.1007/s001220000489
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1007/s10681-012-0844-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051627533
    260 https://doi.org/10.1007/s10681-012-0844-4
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1007/s10681-015-1445-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021339655
    263 https://doi.org/10.1007/s10681-015-1445-9
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1007/s11032-005-0828-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042604249
    266 https://doi.org/10.1007/s11032-005-0828-3
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1007/s11032-015-0271-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1045117530
    269 https://doi.org/10.1007/s11032-015-0271-z
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1007/s11105-013-0628-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003610985
    272 https://doi.org/10.1007/s11105-013-0628-6
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1007/s11105-013-0643-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012386614
    275 https://doi.org/10.1007/s11105-013-0643-7
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1007/s11295-006-0053-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052534677
    278 https://doi.org/10.1007/s11295-006-0053-1
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1007/s11295-008-0147-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1013578590
    281 https://doi.org/10.1007/s11295-008-0147-z
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1007/s11295-011-0394-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008180999
    284 https://doi.org/10.1007/s11295-011-0394-2
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1007/s11295-012-0493-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052914679
    287 https://doi.org/10.1007/s11295-012-0493-8
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1007/s11295-012-0522-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021231798
    290 https://doi.org/10.1007/s11295-012-0522-7
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1007/s11295-012-0546-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1017104316
    293 https://doi.org/10.1007/s11295-012-0546-z
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1007/s11295-012-0580-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044453669
    296 https://doi.org/10.1007/s11295-012-0580-x
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1007/s11295-013-0649-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024791293
    299 https://doi.org/10.1007/s11295-013-0649-1
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1007/s11295-013-0692-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1025263735
    302 https://doi.org/10.1007/s11295-013-0692-y
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1007/s11295-014-0756-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020807929
    305 https://doi.org/10.1007/s11295-014-0756-7
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1007/s11295-014-0789-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1025313289
    308 https://doi.org/10.1007/s11295-014-0789-y
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1007/s11295-014-0790-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023967939
    311 https://doi.org/10.1007/s11295-014-0790-5
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1007/s11295-015-0834-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007623265
    314 https://doi.org/10.1007/s11295-015-0834-5
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1038/hortres.2015.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007083705
    317 https://doi.org/10.1038/hortres.2015.16
    318 rdf:type schema:CreativeWork
    319 sg:pub.10.1038/ng.2586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040618371
    320 https://doi.org/10.1038/ng.2586
    321 rdf:type schema:CreativeWork
    322 sg:pub.10.1186/1471-2156-11-69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041517248
    323 https://doi.org/10.1186/1471-2156-11-69
    324 rdf:type schema:CreativeWork
    325 sg:pub.10.1186/1471-2156-14-84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001470554
    326 https://doi.org/10.1186/1471-2156-14-84
    327 rdf:type schema:CreativeWork
    328 sg:pub.10.1186/1471-2164-10-587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023769322
    329 https://doi.org/10.1186/1471-2164-10-587
    330 rdf:type schema:CreativeWork
    331 sg:pub.10.1186/1471-2164-12-569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053552199
    332 https://doi.org/10.1186/1471-2164-12-569
    333 rdf:type schema:CreativeWork
    334 sg:pub.10.1186/1471-2229-9-59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032891782
    335 https://doi.org/10.1186/1471-2229-9-59
    336 rdf:type schema:CreativeWork
    337 sg:pub.10.1186/preaccept-1190140987122406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064134373
    338 https://doi.org/10.1186/preaccept-1190140987122406
    339 rdf:type schema:CreativeWork
    340 sg:pub.10.1186/s13059-014-0415-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027565495
    341 https://doi.org/10.1186/s13059-014-0415-1
    342 rdf:type schema:CreativeWork
    343 grid-institutes:None schema:alternateName IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain
    344 schema:name IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain
    345 rdf:type schema:Organization
    346 grid-institutes:grid.412041.2 schema:alternateName UMR 1332 B.P. INRA, Univ. Bordeaux, 33140, Villenave d’Ornon, France
    347 schema:name UMR 1332 B.P. INRA, Univ. Bordeaux, 33140, Villenave d’Ornon, France
    348 rdf:type schema:Organization
    349 grid-institutes:grid.417771.3 schema:alternateName Research Station Agroscope, Schloss 1 Postfach, 8820, Wädenswil, Switzerland
    350 schema:name Research Station Agroscope, Schloss 1 Postfach, 8820, Wädenswil, Switzerland
    351 rdf:type schema:Organization
    352 grid-institutes:grid.424414.3 schema:alternateName Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all’Adige, TN, Italy
    353 schema:name IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain
    354 Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all’Adige, TN, Italy
    355 rdf:type schema:Organization
    356 grid-institutes:grid.425375.2 schema:alternateName Parco Tecnologico Padano, Via Einstein, Loc. C.na Codazza, 26900, Lodi, Italy
    357 schema:name Parco Tecnologico Padano, Via Einstein, Loc. C.na Codazza, 26900, Lodi, Italy
    358 Università degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy
    359 rdf:type schema:Organization
    360 grid-institutes:grid.443909.3 schema:alternateName INTA, Universidad de Chile, Avenida El Lı́bano, 5524 Macul, Santiago, Chile
    361 schema:name INTA, Universidad de Chile, Avenida El Lı́bano, 5524 Macul, Santiago, Chile
    362 Università degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy
    363 rdf:type schema:Organization
    364 grid-institutes:grid.464148.b schema:alternateName GAFL, INRA, 84140, Montfavet, France
    365 schema:name GAFL, INRA, 84140, Montfavet, France
    366 rdf:type schema:Organization
    367 grid-institutes:grid.4708.b schema:alternateName Università degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy
    368 schema:name Università degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy
    369 rdf:type schema:Organization
     




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


    ...