Simple sequence repeat markers linked to the everbearing flowering gene in long-day and day-neutral cultivars of the octoploid cultivated strawberry ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-12-22

AUTHORS

Masanori Honjo, Tsukasa Nunome, Sono Kataoka, Takayoshi Yano, Megumi Hamano, Hiromichi Yamazaki, Toshiya Yamamoto, Masami Morishita, Susumu Yui

ABSTRACT

To identify markers closely linked to the everbearing gene in the octoploid cultivated strawberry Fragaria × ananassa, we conducted linkage analysis based on simple sequence repeat (SSR) polymorphisms. We analyzed F1 populations from three crosses: ‘Sagahonoka’ × ‘Summer-berry’ (94 individuals), ‘Sagahonoka’ × ‘Ever-berry’ (137 individuals), and ‘Hecker’ × ‘Sagahonoka’ (177 individuals). ‘Sagahonoka’ is a June-bearing cultivar; ‘Summer-berry’ and ‘Ever-berry’ are everbearing cultivars classified as older everbearers with a long-day flowering response; ‘Hecker’ is a day-neutral cultivar having F. virginiana ssp. glauca in its ancestry. In these populations, the closest marker, FxaACA02I08C, was mapped at 1.1 cM (‘Summer-berry’ and ‘Hecker’) or 1.5 cM (‘Ever-berry’) from the everbearing gene. We detected correspondence between SSR allele segregation and the flowering habit: one allele was linked to the everbearing trait and the other one to the June-bearing trait. The concordance between the phenotype and marker genotype was more than 98 % in all three populations. These results indicate that the everbearing trait is regulated by a single dominant gene. We also conclude that the locus regulating the everbearing or June-bearing flowering habit is the same in long-day and day-neutral types. The identified markers will be useful for the selection of progeny of various everbearing cultivars. More... »

PAGES

291-303

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10681-015-1626-6

DOI

http://dx.doi.org/10.1007/s10681-015-1626-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007381408


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": "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan", 
          "id": "http://www.grid.ac/institutes/grid.482892.d", 
          "name": [
            "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Honjo", 
        "givenName": "Masanori", 
        "id": "sg:person.0760011336.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760011336.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Institute of Vegetable and Tea Science, 360 Ano-Kusawa, 514-2392, Tsu, Mie, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "NARO Institute of Vegetable and Tea Science, 360 Ano-Kusawa, 514-2392, Tsu, Mie, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nunome", 
        "givenName": "Tsukasa", 
        "id": "sg:person.01022402653.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022402653.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Institute of Vegetable and Tea Science, 360 Ano-Kusawa, 514-2392, Tsu, Mie, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "NARO Institute of Vegetable and Tea Science, 360 Ano-Kusawa, 514-2392, Tsu, Mie, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kataoka", 
        "givenName": "Sono", 
        "id": "sg:person.013223742013.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013223742013.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Western Region Agricultural Research Center, 1-3-1 Senyu-cho, 765-8508, Zentsuji, Kagawa, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "NARO Western Region Agricultural Research Center, 1-3-1 Senyu-cho, 765-8508, Zentsuji, Kagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yano", 
        "givenName": "Takayoshi", 
        "id": "sg:person.014013215535.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014013215535.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan", 
          "id": "http://www.grid.ac/institutes/grid.482892.d", 
          "name": [
            "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamano", 
        "givenName": "Megumi", 
        "id": "sg:person.0610302164.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610302164.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan", 
          "id": "http://www.grid.ac/institutes/grid.482892.d", 
          "name": [
            "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamazaki", 
        "givenName": "Hiromichi", 
        "id": "sg:person.014665016213.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014665016213.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Institute of Fruit Tree Science, 2-1 Fujimoto, 305-8605, Tsukuba, Ibaraki, Japan", 
          "id": "http://www.grid.ac/institutes/grid.482552.c", 
          "name": [
            "NARO Institute of Fruit Tree Science, 2-1 Fujimoto, 305-8605, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Toshiya", 
        "id": "sg:person.0623525444.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623525444.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Kyushu Okinawa Agricultural Research Center, 1823-1 Miimachi, 839-8503, Kurume, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "NARO Kyushu Okinawa Agricultural Research Center, 1823-1 Miimachi, 839-8503, Kurume, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morishita", 
        "givenName": "Masami", 
        "id": "sg:person.0724530564.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724530564.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan", 
          "id": "http://www.grid.ac/institutes/grid.482892.d", 
          "name": [
            "NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yui", 
        "givenName": "Susumu", 
        "id": "sg:person.011132100215.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011132100215.20"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/72708", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040247990", 
          "https://doi.org/10.1038/72708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-011-1782-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021960547", 
          "https://doi.org/10.1007/s00122-011-1782-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2008.100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045778780", 
          "https://doi.org/10.1038/hdy.2008.100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:euph.0000003884.19248.33", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012728802", 
          "https://doi.org/10.1023/b:euph.0000003884.19248.33"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-004-1767-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030196097", 
          "https://doi.org/10.1007/s00122-004-1767-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-003-1370-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023763303", 
          "https://doi.org/10.1007/s00122-003-1370-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-005-1956-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039094462", 
          "https://doi.org/10.1007/s00122-005-1956-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-010-9417-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008886233", 
          "https://doi.org/10.1007/s11032-010-9417-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-015-0250-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052671657", 
          "https://doi.org/10.1007/s11032-015-0250-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12-22", 
    "datePublishedReg": "2015-12-22", 
    "description": "To identify markers closely linked to the everbearing gene in the octoploid cultivated strawberry Fragaria\u00a0\u00d7\u00a0ananassa, we conducted linkage analysis based on simple sequence repeat (SSR) polymorphisms. We analyzed F1 populations from three crosses: \u2018Sagahonoka\u2019\u00a0\u00d7\u00a0\u2018Summer-berry\u2019 (94 individuals), \u2018Sagahonoka\u2019\u00a0\u00d7\u00a0\u2018Ever-berry\u2019 (137 individuals), and \u2018Hecker\u2019\u00a0\u00d7\u00a0\u2018Sagahonoka\u2019 (177 individuals). \u2018Sagahonoka\u2019 is a June-bearing cultivar; \u2018Summer-berry\u2019 and \u2018Ever-berry\u2019 are everbearing cultivars classified as older everbearers with a long-day flowering response; \u2018Hecker\u2019 is a day-neutral cultivar having F. virginiana ssp. glauca in its ancestry. In these populations, the closest marker, FxaACA02I08C, was mapped at 1.1\u00a0cM (\u2018Summer-berry\u2019 and \u2018Hecker\u2019) or 1.5\u00a0cM (\u2018Ever-berry\u2019) from the everbearing gene. We detected correspondence between SSR allele segregation and the flowering habit: one allele was linked to the everbearing trait and the other one to the June-bearing trait. The concordance between the phenotype and marker genotype was more than 98\u00a0% in all three populations. These results indicate that the everbearing trait is regulated by a single dominant gene. We also conclude that the locus regulating the everbearing or June-bearing flowering habit is the same in long-day and day-neutral types. The identified markers will be useful for the selection of progeny of various everbearing cultivars.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10681-015-1626-6", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028679", 
        "issn": [
          "0014-2336", 
          "1573-5060"
        ], 
        "name": "Euphytica", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "209"
      }
    ], 
    "keywords": [
      "simple sequence repeat (SSR) markers", 
      "simple sequence repeat polymorphism", 
      "F. virginiana ssp", 
      "sequence repeat markers", 
      "single dominant gene", 
      "long-day flowering response", 
      "selection of progeny", 
      "Fragaria \u00d7 ananassa", 
      "strawberry Fragaria", 
      "F1 population", 
      "repeat markers", 
      "allele segregation", 
      "closest marker", 
      "dominant gene", 
      "\u00d7 ananassa", 
      "everbearing cultivars", 
      "day-neutral cultivars", 
      "linkage analysis", 
      "flowering response", 
      "marker genotypes", 
      "genes", 
      "octoploids", 
      "traits", 
      "cultivars", 
      "Sagahonoka", 
      "ananassa", 
      "repeat polymorphism", 
      "Fragaria", 
      "markers", 
      "glauca", 
      "progeny", 
      "population", 
      "phenotype", 
      "alleles", 
      "ssp", 
      "ancestry", 
      "berries", 
      "polymorphism", 
      "genotypes", 
      "cross", 
      "segregation", 
      "selection", 
      "habits", 
      "response", 
      "analysis", 
      "types", 
      "concordance", 
      "Hecker", 
      "results", 
      "correspondence"
    ], 
    "name": "Simple sequence repeat markers linked to the everbearing flowering gene in long-day and day-neutral cultivars of the octoploid cultivated strawberry Fragaria \u00d7 ananassa", 
    "pagination": "291-303", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007381408"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10681-015-1626-6"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10681-015-1626-6", 
      "https://app.dimensions.ai/details/publication/pub.1007381408"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T20:58", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_654.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10681-015-1626-6"
  }
]
 

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/s10681-015-1626-6'

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/s10681-015-1626-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10681-015-1626-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10681-015-1626-6'


 

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

209 TRIPLES      21 PREDICATES      83 URIs      66 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10681-015-1626-6 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N2e5cdf0b8fec4d2da41683e682a20062
4 schema:citation sg:pub.10.1007/s00122-003-1370-5
5 sg:pub.10.1007/s00122-004-1767-9
6 sg:pub.10.1007/s00122-005-1956-1
7 sg:pub.10.1007/s00122-011-1782-6
8 sg:pub.10.1007/s11032-010-9417-1
9 sg:pub.10.1007/s11032-015-0250-4
10 sg:pub.10.1023/b:euph.0000003884.19248.33
11 sg:pub.10.1038/72708
12 sg:pub.10.1038/hdy.2008.100
13 schema:datePublished 2015-12-22
14 schema:datePublishedReg 2015-12-22
15 schema:description To identify markers closely linked to the everbearing gene in the octoploid cultivated strawberry Fragaria × ananassa, we conducted linkage analysis based on simple sequence repeat (SSR) polymorphisms. We analyzed F1 populations from three crosses: ‘Sagahonoka’ × ‘Summer-berry’ (94 individuals), ‘Sagahonoka’ × ‘Ever-berry’ (137 individuals), and ‘Hecker’ × ‘Sagahonoka’ (177 individuals). ‘Sagahonoka’ is a June-bearing cultivar; ‘Summer-berry’ and ‘Ever-berry’ are everbearing cultivars classified as older everbearers with a long-day flowering response; ‘Hecker’ is a day-neutral cultivar having F. virginiana ssp. glauca in its ancestry. In these populations, the closest marker, FxaACA02I08C, was mapped at 1.1 cM (‘Summer-berry’ and ‘Hecker’) or 1.5 cM (‘Ever-berry’) from the everbearing gene. We detected correspondence between SSR allele segregation and the flowering habit: one allele was linked to the everbearing trait and the other one to the June-bearing trait. The concordance between the phenotype and marker genotype was more than 98 % in all three populations. These results indicate that the everbearing trait is regulated by a single dominant gene. We also conclude that the locus regulating the everbearing or June-bearing flowering habit is the same in long-day and day-neutral types. The identified markers will be useful for the selection of progeny of various everbearing cultivars.
16 schema:genre article
17 schema:isAccessibleForFree false
18 schema:isPartOf N4f3a8805a4554494b4fe26c7dc500303
19 Nc8b6e49445564a628db04262cdb2eab6
20 sg:journal.1028679
21 schema:keywords F. virginiana ssp
22 F1 population
23 Fragaria
24 Fragaria × ananassa
25 Hecker
26 Sagahonoka
27 allele segregation
28 alleles
29 analysis
30 ananassa
31 ancestry
32 berries
33 closest marker
34 concordance
35 correspondence
36 cross
37 cultivars
38 day-neutral cultivars
39 dominant gene
40 everbearing cultivars
41 flowering response
42 genes
43 genotypes
44 glauca
45 habits
46 linkage analysis
47 long-day flowering response
48 marker genotypes
49 markers
50 octoploids
51 phenotype
52 polymorphism
53 population
54 progeny
55 repeat markers
56 repeat polymorphism
57 response
58 results
59 segregation
60 selection
61 selection of progeny
62 sequence repeat markers
63 simple sequence repeat (SSR) markers
64 simple sequence repeat polymorphism
65 single dominant gene
66 ssp
67 strawberry Fragaria
68 traits
69 types
70 × ananassa
71 schema:name Simple sequence repeat markers linked to the everbearing flowering gene in long-day and day-neutral cultivars of the octoploid cultivated strawberry Fragaria × ananassa
72 schema:pagination 291-303
73 schema:productId N1f56c31252b149faa733b721abcb237a
74 N24688c96a2aa4d73afec01ebd4cfd6e0
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007381408
76 https://doi.org/10.1007/s10681-015-1626-6
77 schema:sdDatePublished 2022-11-24T20:58
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher N0cee7183e89d4e86bd5e7289ced596c0
80 schema:url https://doi.org/10.1007/s10681-015-1626-6
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N0cee7183e89d4e86bd5e7289ced596c0 schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N1af4f57f3a2949e49f65e8a2e57ac647 rdf:first sg:person.0724530564.15
87 rdf:rest Nd3f94ef61db0474ca193a2f5f56fe160
88 N1f56c31252b149faa733b721abcb237a schema:name dimensions_id
89 schema:value pub.1007381408
90 rdf:type schema:PropertyValue
91 N24688c96a2aa4d73afec01ebd4cfd6e0 schema:name doi
92 schema:value 10.1007/s10681-015-1626-6
93 rdf:type schema:PropertyValue
94 N2e5cdf0b8fec4d2da41683e682a20062 rdf:first sg:person.0760011336.00
95 rdf:rest N3e7a7448e5ef44339871741409d902f4
96 N3e7a7448e5ef44339871741409d902f4 rdf:first sg:person.01022402653.99
97 rdf:rest N8a3817578d154245a37a77ffa9dfe82e
98 N4f3a8805a4554494b4fe26c7dc500303 schema:issueNumber 2
99 rdf:type schema:PublicationIssue
100 N689250a99eb34177a4aa29205c4224c3 rdf:first sg:person.0610302164.07
101 rdf:rest N8916ec028fc6453c821189e57c95bc58
102 N8916ec028fc6453c821189e57c95bc58 rdf:first sg:person.014665016213.11
103 rdf:rest Nb7beb833bfd3498183975764e399cea1
104 N8a3817578d154245a37a77ffa9dfe82e rdf:first sg:person.013223742013.95
105 rdf:rest Ne3bad0868f4d4a7e89c133933d203734
106 Nb7beb833bfd3498183975764e399cea1 rdf:first sg:person.0623525444.60
107 rdf:rest N1af4f57f3a2949e49f65e8a2e57ac647
108 Nc8b6e49445564a628db04262cdb2eab6 schema:volumeNumber 209
109 rdf:type schema:PublicationVolume
110 Nd3f94ef61db0474ca193a2f5f56fe160 rdf:first sg:person.011132100215.20
111 rdf:rest rdf:nil
112 Ne3bad0868f4d4a7e89c133933d203734 rdf:first sg:person.014013215535.39
113 rdf:rest N689250a99eb34177a4aa29205c4224c3
114 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
115 schema:name Biological Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
118 schema:name Genetics
119 rdf:type schema:DefinedTerm
120 sg:journal.1028679 schema:issn 0014-2336
121 1573-5060
122 schema:name Euphytica
123 schema:publisher Springer Nature
124 rdf:type schema:Periodical
125 sg:person.01022402653.99 schema:affiliation grid-institutes:None
126 schema:familyName Nunome
127 schema:givenName Tsukasa
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022402653.99
129 rdf:type schema:Person
130 sg:person.011132100215.20 schema:affiliation grid-institutes:grid.482892.d
131 schema:familyName Yui
132 schema:givenName Susumu
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011132100215.20
134 rdf:type schema:Person
135 sg:person.013223742013.95 schema:affiliation grid-institutes:None
136 schema:familyName Kataoka
137 schema:givenName Sono
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013223742013.95
139 rdf:type schema:Person
140 sg:person.014013215535.39 schema:affiliation grid-institutes:None
141 schema:familyName Yano
142 schema:givenName Takayoshi
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014013215535.39
144 rdf:type schema:Person
145 sg:person.014665016213.11 schema:affiliation grid-institutes:grid.482892.d
146 schema:familyName Yamazaki
147 schema:givenName Hiromichi
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014665016213.11
149 rdf:type schema:Person
150 sg:person.0610302164.07 schema:affiliation grid-institutes:grid.482892.d
151 schema:familyName Hamano
152 schema:givenName Megumi
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610302164.07
154 rdf:type schema:Person
155 sg:person.0623525444.60 schema:affiliation grid-institutes:grid.482552.c
156 schema:familyName Yamamoto
157 schema:givenName Toshiya
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623525444.60
159 rdf:type schema:Person
160 sg:person.0724530564.15 schema:affiliation grid-institutes:None
161 schema:familyName Morishita
162 schema:givenName Masami
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724530564.15
164 rdf:type schema:Person
165 sg:person.0760011336.00 schema:affiliation grid-institutes:grid.482892.d
166 schema:familyName Honjo
167 schema:givenName Masanori
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760011336.00
169 rdf:type schema:Person
170 sg:pub.10.1007/s00122-003-1370-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023763303
171 https://doi.org/10.1007/s00122-003-1370-5
172 rdf:type schema:CreativeWork
173 sg:pub.10.1007/s00122-004-1767-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030196097
174 https://doi.org/10.1007/s00122-004-1767-9
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/s00122-005-1956-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039094462
177 https://doi.org/10.1007/s00122-005-1956-1
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s00122-011-1782-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021960547
180 https://doi.org/10.1007/s00122-011-1782-6
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/s11032-010-9417-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008886233
183 https://doi.org/10.1007/s11032-010-9417-1
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s11032-015-0250-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052671657
186 https://doi.org/10.1007/s11032-015-0250-4
187 rdf:type schema:CreativeWork
188 sg:pub.10.1023/b:euph.0000003884.19248.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012728802
189 https://doi.org/10.1023/b:euph.0000003884.19248.33
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/72708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040247990
192 https://doi.org/10.1038/72708
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/hdy.2008.100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045778780
195 https://doi.org/10.1038/hdy.2008.100
196 rdf:type schema:CreativeWork
197 grid-institutes:None schema:alternateName NARO Institute of Vegetable and Tea Science, 360 Ano-Kusawa, 514-2392, Tsu, Mie, Japan
198 NARO Kyushu Okinawa Agricultural Research Center, 1823-1 Miimachi, 839-8503, Kurume, Fukuoka, Japan
199 NARO Western Region Agricultural Research Center, 1-3-1 Senyu-cho, 765-8508, Zentsuji, Kagawa, Japan
200 schema:name NARO Institute of Vegetable and Tea Science, 360 Ano-Kusawa, 514-2392, Tsu, Mie, Japan
201 NARO Kyushu Okinawa Agricultural Research Center, 1823-1 Miimachi, 839-8503, Kurume, Fukuoka, Japan
202 NARO Western Region Agricultural Research Center, 1-3-1 Senyu-cho, 765-8508, Zentsuji, Kagawa, Japan
203 rdf:type schema:Organization
204 grid-institutes:grid.482552.c schema:alternateName NARO Institute of Fruit Tree Science, 2-1 Fujimoto, 305-8605, Tsukuba, Ibaraki, Japan
205 schema:name NARO Institute of Fruit Tree Science, 2-1 Fujimoto, 305-8605, Tsukuba, Ibaraki, Japan
206 rdf:type schema:Organization
207 grid-institutes:grid.482892.d schema:alternateName NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan
208 schema:name NARO Tohoku Agricultural Research Center, 92 Nabeyashiki, Shimokuriyagawa, 020-0123, Morioka, Iwate, Japan
209 rdf:type schema:Organization
 




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


...