Vernalization gene combination to maximize grain yield in bread wheat (Triticum aestivum L.) in diverse environments View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-04-27

AUTHORS

Jingjuan Zhang, Bernard Dell, Ben Biddulph, Nusrat Khan, Yunji Xu, Hao Luo, Rudi Appels

ABSTRACT

The major vernalisation genes of VRN1 are well understood at the molecular level. However, their quantitative contributions to flowering time and grain yield related traits are not clear. In this study, we used a double haploid population (225 lines) of Westonia × Kauz in which the Vrn-A1a (Westonia), Vrn-B1a (Westonia) and Vrn-D1a (Kauz) were segregating, and a high resolution genetic map of 1,159 loci, to determine the quantitative contributions of Vrn-A1a, Vrn-B1a and Vrn-D1a for the days to anthesis and grain yield related traits in diverse environments. The major quantitative trait loci (QTL) of spikelet number per spike and days to anthesis were contributed by the winter alleles of VRN1. The QTL of the time of grain filling were contributed by the spring alleles of VRN1. The wild genotype (vrn-A1vrn-B1vrn-D1) showed the latest flowering, the highest spikelet number per spike, lowest peduncle proportion and thousand grain weight in three environmental analyses, and the largest spikelet number per spike, which resulted in high kernel number per spike (KN) and grain weight (GW) in well-watered environments. One QTL of KN was located on 5B, contributed by winter allele of vrn-B1 in three environmental analyses, and one GW QTL was detected on 5A, contributed by the spring allele of Vrn-A1a in a drought environment. The results indicated that the genotype Vrn-A1avrn-B1Vrn-D1a would shorten the time to anthesis and give high GW and KN in drought environments. The early anthesis associated phenotype, peduncle proportion would provide an indicator in breeding programs. More... »

PAGES

439-454

References to SciGraph publications

  • 2000-11. Mapping QTLs controlling grain yield and its components on chromosome 5A of wheat in THEORETICAL AND APPLIED GENETICS
  • 2005-02-03. Large deletions within the first intron in VRN-1 are associated with spring growth habit in barley and wheat in MOLECULAR GENETICS AND GENOMICS
  • 2005-12-01. RECORD: a novel method for ordering loci on a genetic linkage map in THEORETICAL AND APPLIED GENETICS
  • 2006-02-04. Advanced backcross QTL analysis of a hard winter wheat × synthetic wheat population in THEORETICAL AND APPLIED GENETICS
  • 2010-08-10. Using probe genotypes to dissect QTL × environment interactions for grain yield components in winter wheat in THEORETICAL AND APPLIED GENETICS
  • 2004-07-29. A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 2007-08-23. Genetic dissection of grain yield in bread wheat. I. QTL analysis in THEORETICAL AND APPLIED GENETICS
  • 2004-10-06. Allelic variation at the VRN-1 promoter region in polyploid wheat in THEORETICAL AND APPLIED GENETICS
  • 2007-07-19. A Pseudo-Response Regulator is misexpressed in the photoperiod insensitive Ppd-D1a mutant of wheat (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 1976-02. The genetic control of ear-emergence time by chromosomes 5A and 5D of wheat in HEREDITY
  • 2006-07-13. Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 1998-10. Comparative RFLP mapping of Triticum monococcum genes controlling vernalization requirement in THEORETICAL AND APPLIED GENETICS
  • 2008-04-06. The genome structure of the 1-FEH genes in wheat (Triticum aestivum L.): new markers to track stem carbohydrates and grain filling QTLs in breeding in MOLECULAR BREEDING
  • 2007-11-27. FT genome A and D polymorphisms are associated with the variation of earliness components in hexaploid wheat in THEORETICAL AND APPLIED GENETICS
  • 1998-04. The influence of photoperiod genes on the adaptability of European winter wheats in EUPHYTICA
  • 2001-12. Map Manager QTX, cross-platform software for genetic mapping in MAMMALIAN GENOME
  • 2002-10-03. Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat in THEORETICAL AND APPLIED GENETICS
  • 2013-06-19. Wild-type alleles of Rht-B1 and Rht-D1 as independent determinants of thousand-grain weight and kernel number per spike in wheat in MOLECULAR BREEDING
  • 1985-08. A reciprocal F1 monosomic analysis of the genetic control of time of ear emergence, number of leaves and number of spikelets in wheat (Triticum aestivum L.) in EUPHYTICA
  • 2011-10-19. QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations in EUPHYTICA
  • 2005-02-18. A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring × SQ1 and its use to compare QTLs for grain yield across a range of environments in THEORETICAL AND APPLIED GENETICS
  • 1983-12. The location of the photoperiod gene, Ppd2 and an additional genetic factor for ear-emergence time on chromosome 2B of wheat in HEREDITY
  • 1992-01. Genetic effects of Vrn genes on heading date and agronomic traits in bread wheat in EUPHYTICA
  • 2002-03. Genetic analysis of Vrn-B1 for vernalization requirement by using linked dCAPS markers in bread wheat (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10681-014-1120-6

    DOI

    http://dx.doi.org/10.1007/s10681-014-1120-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1022898772


    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": "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1025.6", 
              "name": [
                "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Jingjuan", 
            "id": "sg:person.0721777456.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721777456.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1025.6", 
              "name": [
                "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dell", 
            "givenName": "Bernard", 
            "id": "sg:person.01047216632.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047216632.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Agriculture and Food Western Australia, 3 Baron Hay Court, 6151, South Perth, WA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.417914.e", 
              "name": [
                "Department of Agriculture and Food Western Australia, 3 Baron Hay Court, 6151, South Perth, WA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Biddulph", 
            "givenName": "Ben", 
            "id": "sg:person.01307706411.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307706411.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1025.6", 
              "name": [
                "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khan", 
            "givenName": "Nusrat", 
            "id": "sg:person.01233724016.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233724016.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Agriculture, Yangzhou University, 48 Wenhui East Road, 225009, Yangzhou, Jiangsu, China", 
              "id": "http://www.grid.ac/institutes/grid.268415.c", 
              "name": [
                "School of Agriculture, Yangzhou University, 48 Wenhui East Road, 225009, Yangzhou, Jiangsu, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "Yunji", 
            "id": "sg:person.0735133616.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735133616.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1025.6", 
              "name": [
                "School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Luo", 
            "givenName": "Hao", 
            "id": "sg:person.01302037216.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302037216.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Comparative Genomics, South Street, 6150, Murdoch, Australia", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Centre Comparative Genomics, South Street, 6150, Murdoch, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Appels", 
            "givenName": "Rudi", 
            "id": "sg:person.01117454167.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117454167.49"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00122-004-1796-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002051947", 
              "https://doi.org/10.1007/s00122-004-1796-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.1976.5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050685582", 
              "https://doi.org/10.1038/hdy.1976.5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0769-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020226668", 
              "https://doi.org/10.1007/s00122-001-0769-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051587", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022550869", 
              "https://doi.org/10.1007/s001220051587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00335-001-1016-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032730610", 
              "https://doi.org/10.1007/s00335-001-1016-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.1983.73", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018476689", 
              "https://doi.org/10.1038/hdy.1983.73"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-011-0550-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027102690", 
              "https://doi.org/10.1007/s10681-011-0550-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-010-1406-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014039783", 
              "https://doi.org/10.1007/s00122-010-1406-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220050978", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012794109", 
              "https://doi.org/10.1007/s001220050978"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1902-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027950120", 
              "https://doi.org/10.1007/s00122-004-1902-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0676-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004481167", 
              "https://doi.org/10.1007/s00122-007-0676-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00022199", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037959462", 
              "https://doi.org/10.1007/bf00022199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-013-9905-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013394185", 
              "https://doi.org/10.1007/s11032-013-9905-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0346-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050492884", 
              "https://doi.org/10.1007/s00122-006-0346-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-1111-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007573952", 
              "https://doi.org/10.1007/s00122-002-1111-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0629-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046544878", 
              "https://doi.org/10.1007/s00122-007-0629-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00022954", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028277740", 
              "https://doi.org/10.1007/bf00022954"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-005-0097-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051796889", 
              "https://doi.org/10.1007/s00122-005-0097-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00438-004-1095-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045015923", 
              "https://doi.org/10.1007/s00438-004-1095-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0603-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001201531", 
              "https://doi.org/10.1007/s00122-007-0603-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-008-9179-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040915811", 
              "https://doi.org/10.1007/s11032-008-9179-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1018327700985", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038220477", 
              "https://doi.org/10.1023/a:1018327700985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1740-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048722415", 
              "https://doi.org/10.1007/s00122-004-1740-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-005-0159-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012773869", 
              "https://doi.org/10.1007/s00122-005-0159-0"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-04-27", 
        "datePublishedReg": "2014-04-27", 
        "description": "The major vernalisation genes of VRN1 are well understood at the molecular level. However, their quantitative contributions to flowering time and grain yield related traits are not clear. In this study, we used a double haploid population (225 lines) of Westonia\u00a0\u00d7\u00a0Kauz in which the Vrn-A1a (Westonia), Vrn-B1a (Westonia) and Vrn-D1a (Kauz) were segregating, and a high resolution genetic map of 1,159 loci, to determine the quantitative contributions of Vrn-A1a, Vrn-B1a and Vrn-D1a for the days to anthesis and grain yield related traits in diverse environments. The major quantitative trait loci (QTL) of spikelet number per spike and days to anthesis were contributed by the winter alleles of VRN1. The QTL of the time of grain filling were contributed by the spring alleles of VRN1. The wild genotype (vrn-A1vrn-B1vrn-D1) showed the latest flowering, the highest spikelet number per spike, lowest peduncle proportion and thousand grain weight in three environmental analyses, and the largest spikelet number per spike, which resulted in high kernel number per spike (KN) and grain weight (GW) in well-watered environments. One QTL of KN was located on 5B, contributed by winter allele of vrn-B1 in three environmental analyses, and one GW QTL was detected on 5A, contributed by the spring allele of Vrn-A1a in a drought environment. The results indicated that the genotype Vrn-A1avrn-B1Vrn-D1a would shorten the time to anthesis and give high GW and KN in drought environments. The early anthesis associated phenotype, peduncle proportion would provide an indicator in breeding programs.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10681-014-1120-6", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1028679", 
            "issn": [
              "0014-2336", 
              "1573-5060"
            ], 
            "name": "Euphytica", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "198"
          }
        ], 
        "keywords": [
          "quantitative trait loci", 
          "Vrn-A1a", 
          "spring allele", 
          "spikelet number", 
          "Vrn-D1a", 
          "drought environments", 
          "grain weight", 
          "winter allele", 
          "Vrn-B1a", 
          "high-resolution genetic map", 
          "major quantitative trait locus", 
          "grain yield", 
          "resolution genetic map", 
          "doubled-haploid population", 
          "diverse environments", 
          "higher kernel number", 
          "higher grain weight", 
          "genetic map", 
          "Vrn-B1", 
          "haploid population", 
          "trait loci", 
          "late flowering", 
          "bread wheat", 
          "high spikelet number", 
          "breeding programs", 
          "VRN1", 
          "larger spikelet number", 
          "gene combinations", 
          "kernel number", 
          "grain filling", 
          "molecular level", 
          "wild genotype", 
          "early anthesis", 
          "alleles", 
          "loci", 
          "quantitative contribution", 
          "traits", 
          "anthesis", 
          "Kauz", 
          "genes", 
          "flowering", 
          "Westonia", 
          "phenotype", 
          "wheat", 
          "genotypes", 
          "yield", 
          "environment", 
          "number", 
          "population", 
          "spikes", 
          "proportion", 
          "analysis", 
          "weight", 
          "levels", 
          "contribution", 
          "maps", 
          "combination", 
          "days", 
          "study", 
          "time", 
          "results", 
          "environmental analysis", 
          "Kn", 
          "indicators", 
          "program", 
          "filling"
        ], 
        "name": "Vernalization gene combination to maximize grain yield in bread wheat (Triticum aestivum L.) in diverse environments", 
        "pagination": "439-454", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1022898772"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10681-014-1120-6"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10681-014-1120-6", 
          "https://app.dimensions.ai/details/publication/pub.1022898772"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T15:57", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_622.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10681-014-1120-6"
      }
    ]
     

    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/s10681-014-1120-6'

    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/s10681-014-1120-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10681-014-1120-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10681-014-1120-6'


     

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

    270 TRIPLES      21 PREDICATES      114 URIs      82 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10681-014-1120-6 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N846b3864422941258193cc0116ea6350
    4 schema:citation sg:pub.10.1007/bf00022199
    5 sg:pub.10.1007/bf00022954
    6 sg:pub.10.1007/s00122-001-0769-0
    7 sg:pub.10.1007/s00122-002-1111-1
    8 sg:pub.10.1007/s00122-004-1740-7
    9 sg:pub.10.1007/s00122-004-1796-4
    10 sg:pub.10.1007/s00122-004-1902-7
    11 sg:pub.10.1007/s00122-005-0097-x
    12 sg:pub.10.1007/s00122-005-0159-0
    13 sg:pub.10.1007/s00122-006-0346-7
    14 sg:pub.10.1007/s00122-007-0603-4
    15 sg:pub.10.1007/s00122-007-0629-7
    16 sg:pub.10.1007/s00122-007-0676-0
    17 sg:pub.10.1007/s00122-010-1406-6
    18 sg:pub.10.1007/s001220050978
    19 sg:pub.10.1007/s001220051587
    20 sg:pub.10.1007/s00335-001-1016-3
    21 sg:pub.10.1007/s00438-004-1095-4
    22 sg:pub.10.1007/s10681-011-0550-7
    23 sg:pub.10.1007/s11032-008-9179-1
    24 sg:pub.10.1007/s11032-013-9905-1
    25 sg:pub.10.1023/a:1018327700985
    26 sg:pub.10.1038/hdy.1976.5
    27 sg:pub.10.1038/hdy.1983.73
    28 schema:datePublished 2014-04-27
    29 schema:datePublishedReg 2014-04-27
    30 schema:description The major vernalisation genes of VRN1 are well understood at the molecular level. However, their quantitative contributions to flowering time and grain yield related traits are not clear. In this study, we used a double haploid population (225 lines) of Westonia × Kauz in which the Vrn-A1a (Westonia), Vrn-B1a (Westonia) and Vrn-D1a (Kauz) were segregating, and a high resolution genetic map of 1,159 loci, to determine the quantitative contributions of Vrn-A1a, Vrn-B1a and Vrn-D1a for the days to anthesis and grain yield related traits in diverse environments. The major quantitative trait loci (QTL) of spikelet number per spike and days to anthesis were contributed by the winter alleles of VRN1. The QTL of the time of grain filling were contributed by the spring alleles of VRN1. The wild genotype (vrn-A1vrn-B1vrn-D1) showed the latest flowering, the highest spikelet number per spike, lowest peduncle proportion and thousand grain weight in three environmental analyses, and the largest spikelet number per spike, which resulted in high kernel number per spike (KN) and grain weight (GW) in well-watered environments. One QTL of KN was located on 5B, contributed by winter allele of vrn-B1 in three environmental analyses, and one GW QTL was detected on 5A, contributed by the spring allele of Vrn-A1a in a drought environment. The results indicated that the genotype Vrn-A1avrn-B1Vrn-D1a would shorten the time to anthesis and give high GW and KN in drought environments. The early anthesis associated phenotype, peduncle proportion would provide an indicator in breeding programs.
    31 schema:genre article
    32 schema:isAccessibleForFree false
    33 schema:isPartOf N66f239a3f6ff4559bfd6378eed209cd0
    34 Nf7b5f78c94fd429ba7ebc1d5eecc38fa
    35 sg:journal.1028679
    36 schema:keywords Kauz
    37 Kn
    38 VRN1
    39 Vrn-A1a
    40 Vrn-B1
    41 Vrn-B1a
    42 Vrn-D1a
    43 Westonia
    44 alleles
    45 analysis
    46 anthesis
    47 bread wheat
    48 breeding programs
    49 combination
    50 contribution
    51 days
    52 diverse environments
    53 doubled-haploid population
    54 drought environments
    55 early anthesis
    56 environment
    57 environmental analysis
    58 filling
    59 flowering
    60 gene combinations
    61 genes
    62 genetic map
    63 genotypes
    64 grain filling
    65 grain weight
    66 grain yield
    67 haploid population
    68 high spikelet number
    69 high-resolution genetic map
    70 higher grain weight
    71 higher kernel number
    72 indicators
    73 kernel number
    74 larger spikelet number
    75 late flowering
    76 levels
    77 loci
    78 major quantitative trait locus
    79 maps
    80 molecular level
    81 number
    82 phenotype
    83 population
    84 program
    85 proportion
    86 quantitative contribution
    87 quantitative trait loci
    88 resolution genetic map
    89 results
    90 spikelet number
    91 spikes
    92 spring allele
    93 study
    94 time
    95 trait loci
    96 traits
    97 weight
    98 wheat
    99 wild genotype
    100 winter allele
    101 yield
    102 schema:name Vernalization gene combination to maximize grain yield in bread wheat (Triticum aestivum L.) in diverse environments
    103 schema:pagination 439-454
    104 schema:productId N3eba84fe4fbd436e89ed835987c91613
    105 Nd1752fcc827544fe87c565a80e5ea6c2
    106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022898772
    107 https://doi.org/10.1007/s10681-014-1120-6
    108 schema:sdDatePublished 2022-09-02T15:57
    109 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    110 schema:sdPublisher N4aa799b5e9634514bc092305333f00b1
    111 schema:url https://doi.org/10.1007/s10681-014-1120-6
    112 sgo:license sg:explorer/license/
    113 sgo:sdDataset articles
    114 rdf:type schema:ScholarlyArticle
    115 N3eba84fe4fbd436e89ed835987c91613 schema:name doi
    116 schema:value 10.1007/s10681-014-1120-6
    117 rdf:type schema:PropertyValue
    118 N4aa799b5e9634514bc092305333f00b1 schema:name Springer Nature - SN SciGraph project
    119 rdf:type schema:Organization
    120 N66f239a3f6ff4559bfd6378eed209cd0 schema:volumeNumber 198
    121 rdf:type schema:PublicationVolume
    122 N70b3dad21ad646bcbd097025ac37d0a8 rdf:first sg:person.01117454167.49
    123 rdf:rest rdf:nil
    124 N74d28665d22c4154a7b2587c6e99897b rdf:first sg:person.01047216632.10
    125 rdf:rest N880ff3284cee4cfda6b33a1b33d08a8b
    126 N846b3864422941258193cc0116ea6350 rdf:first sg:person.0721777456.20
    127 rdf:rest N74d28665d22c4154a7b2587c6e99897b
    128 N880ff3284cee4cfda6b33a1b33d08a8b rdf:first sg:person.01307706411.41
    129 rdf:rest Nd461dd1aa06b4daa909457da514c6116
    130 Na74223092b1e474392cdcad4c022c634 rdf:first sg:person.01302037216.61
    131 rdf:rest N70b3dad21ad646bcbd097025ac37d0a8
    132 Nd1752fcc827544fe87c565a80e5ea6c2 schema:name dimensions_id
    133 schema:value pub.1022898772
    134 rdf:type schema:PropertyValue
    135 Nd461dd1aa06b4daa909457da514c6116 rdf:first sg:person.01233724016.57
    136 rdf:rest Nf6f009c7aab141b4b8316c2182f8a6a8
    137 Nf6f009c7aab141b4b8316c2182f8a6a8 rdf:first sg:person.0735133616.18
    138 rdf:rest Na74223092b1e474392cdcad4c022c634
    139 Nf7b5f78c94fd429ba7ebc1d5eecc38fa schema:issueNumber 3
    140 rdf:type schema:PublicationIssue
    141 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    142 schema:name Biological Sciences
    143 rdf:type schema:DefinedTerm
    144 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    145 schema:name Genetics
    146 rdf:type schema:DefinedTerm
    147 sg:journal.1028679 schema:issn 0014-2336
    148 1573-5060
    149 schema:name Euphytica
    150 schema:publisher Springer Nature
    151 rdf:type schema:Periodical
    152 sg:person.01047216632.10 schema:affiliation grid-institutes:grid.1025.6
    153 schema:familyName Dell
    154 schema:givenName Bernard
    155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01047216632.10
    156 rdf:type schema:Person
    157 sg:person.01117454167.49 schema:affiliation grid-institutes:None
    158 schema:familyName Appels
    159 schema:givenName Rudi
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117454167.49
    161 rdf:type schema:Person
    162 sg:person.01233724016.57 schema:affiliation grid-institutes:grid.1025.6
    163 schema:familyName Khan
    164 schema:givenName Nusrat
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233724016.57
    166 rdf:type schema:Person
    167 sg:person.01302037216.61 schema:affiliation grid-institutes:grid.1025.6
    168 schema:familyName Luo
    169 schema:givenName Hao
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302037216.61
    171 rdf:type schema:Person
    172 sg:person.01307706411.41 schema:affiliation grid-institutes:grid.417914.e
    173 schema:familyName Biddulph
    174 schema:givenName Ben
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307706411.41
    176 rdf:type schema:Person
    177 sg:person.0721777456.20 schema:affiliation grid-institutes:grid.1025.6
    178 schema:familyName Zhang
    179 schema:givenName Jingjuan
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721777456.20
    181 rdf:type schema:Person
    182 sg:person.0735133616.18 schema:affiliation grid-institutes:grid.268415.c
    183 schema:familyName Xu
    184 schema:givenName Yunji
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735133616.18
    186 rdf:type schema:Person
    187 sg:pub.10.1007/bf00022199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037959462
    188 https://doi.org/10.1007/bf00022199
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/bf00022954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028277740
    191 https://doi.org/10.1007/bf00022954
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1007/s00122-001-0769-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020226668
    194 https://doi.org/10.1007/s00122-001-0769-0
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s00122-002-1111-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007573952
    197 https://doi.org/10.1007/s00122-002-1111-1
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/s00122-004-1740-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048722415
    200 https://doi.org/10.1007/s00122-004-1740-7
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/s00122-004-1796-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002051947
    203 https://doi.org/10.1007/s00122-004-1796-4
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s00122-004-1902-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027950120
    206 https://doi.org/10.1007/s00122-004-1902-7
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s00122-005-0097-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051796889
    209 https://doi.org/10.1007/s00122-005-0097-x
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1007/s00122-005-0159-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012773869
    212 https://doi.org/10.1007/s00122-005-0159-0
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1007/s00122-006-0346-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050492884
    215 https://doi.org/10.1007/s00122-006-0346-7
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/s00122-007-0603-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001201531
    218 https://doi.org/10.1007/s00122-007-0603-4
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/s00122-007-0629-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046544878
    221 https://doi.org/10.1007/s00122-007-0629-7
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s00122-007-0676-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004481167
    224 https://doi.org/10.1007/s00122-007-0676-0
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s00122-010-1406-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014039783
    227 https://doi.org/10.1007/s00122-010-1406-6
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1007/s001220050978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012794109
    230 https://doi.org/10.1007/s001220050978
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1007/s001220051587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022550869
    233 https://doi.org/10.1007/s001220051587
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s00335-001-1016-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032730610
    236 https://doi.org/10.1007/s00335-001-1016-3
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s00438-004-1095-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045015923
    239 https://doi.org/10.1007/s00438-004-1095-4
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1007/s10681-011-0550-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027102690
    242 https://doi.org/10.1007/s10681-011-0550-7
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1007/s11032-008-9179-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040915811
    245 https://doi.org/10.1007/s11032-008-9179-1
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1007/s11032-013-9905-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013394185
    248 https://doi.org/10.1007/s11032-013-9905-1
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1023/a:1018327700985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038220477
    251 https://doi.org/10.1023/a:1018327700985
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/hdy.1976.5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050685582
    254 https://doi.org/10.1038/hdy.1976.5
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/hdy.1983.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018476689
    257 https://doi.org/10.1038/hdy.1983.73
    258 rdf:type schema:CreativeWork
    259 grid-institutes:None schema:alternateName Centre Comparative Genomics, South Street, 6150, Murdoch, Australia
    260 schema:name Centre Comparative Genomics, South Street, 6150, Murdoch, Australia
    261 rdf:type schema:Organization
    262 grid-institutes:grid.1025.6 schema:alternateName School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia
    263 schema:name School of Veterinary and Life Sciences, Murdoch University, South Street, 6150, Murdoch, WA, Australia
    264 rdf:type schema:Organization
    265 grid-institutes:grid.268415.c schema:alternateName School of Agriculture, Yangzhou University, 48 Wenhui East Road, 225009, Yangzhou, Jiangsu, China
    266 schema:name School of Agriculture, Yangzhou University, 48 Wenhui East Road, 225009, Yangzhou, Jiangsu, China
    267 rdf:type schema:Organization
    268 grid-institutes:grid.417914.e schema:alternateName Department of Agriculture and Food Western Australia, 3 Baron Hay Court, 6151, South Perth, WA, Australia
    269 schema:name Department of Agriculture and Food Western Australia, 3 Baron Hay Court, 6151, South Perth, WA, Australia
    270 rdf:type schema:Organization
     




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


    ...