Genetic dissection of herbicide tolerance in maize by molecular markers View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1997-12

AUTHORS

Mirella Sari-Gorla, Pawel Krajewski, Giorgio Binelli, Carla Frova, Graziana Taramino, Marzio Villa

ABSTRACT

In order to detect the genetic architecture of maize tolerance to Alachlor, a widely used chloroacetanilide, linkage analysis between the expression of the trait and allelic composition of molecular markers was performed. The experiment was carried out on a population of 142 recombinant inbred lines, developed starting from the F1 between two lines with different reactivity to the herbicide, and self-fertilized for 10 generations; the lines were typed by 48 RFLP markers and 66 microsatellites (SSR). Besides seedling tolerance, evaluated as proportion of normal (non-injured) plants after herbicide treatment, other minor components of tolerance were studied: seed germination ability, pollen germination and tube growth in the presence of the herbicide. The analysis, performed by three statistical methods, revealed the presence of factors controlling seedling tolerance on seven chromosomal regions. Five QTLs appeared to be involved in seed germination ability in the presence of Alachlor, four QTLs in pollen tolerance in terms of germination and four in tube growth under stress were detected. Three loci, on chromosomes 1, 7 and 10, explained most of the variation of seedling tolerance, thus being interesting candidate for marker-assisted selection. More... »

PAGES

481-493

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1009631301428

DOI

http://dx.doi.org/10.1023/a:1009631301428

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052315785


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/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary 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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0703", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Crop and Pasture Production", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4708.b", 
          "name": [
            "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sari-Gorla", 
        "givenName": "Mirella", 
        "id": "sg:person.0577233307.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577233307.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Plant Genetics, Polish Academy of Sciences, Strzeszynska 34, 60-479, Poznan, Poland", 
          "id": "http://www.grid.ac/institutes/grid.425086.d", 
          "name": [
            "Institute of Plant Genetics, Polish Academy of Sciences, Strzeszynska 34, 60-479, Poznan, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krajewski", 
        "givenName": "Pawel", 
        "id": "sg:person.0675067307.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675067307.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4708.b", 
          "name": [
            "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Binelli", 
        "givenName": "Giorgio", 
        "id": "sg:person.010240451743.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010240451743.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4708.b", 
          "name": [
            "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Frova", 
        "givenName": "Carla", 
        "id": "sg:person.0772033504.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772033504.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4708.b", 
          "name": [
            "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Taramino", 
        "givenName": "Graziana", 
        "id": "sg:person.01001314172.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001314172.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4708.b", 
          "name": [
            "Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Villa", 
        "givenName": "Marzio", 
        "id": "sg:person.010042050405.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010042050405.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/hdy.1992.146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026942972", 
          "https://doi.org/10.1038/hdy.1992.146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1997.22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025855051", 
          "https://doi.org/10.1038/hdy.1997.22"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01253990", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021364234", 
          "https://doi.org/10.1007/bf01253990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00280195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031887597", 
          "https://doi.org/10.1007/bf00280195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00223713", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005907606", 
          "https://doi.org/10.1007/bf00223713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00223708", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045032349", 
          "https://doi.org/10.1007/bf00223708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02173644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011480125", 
          "https://doi.org/10.1007/bf02173644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02277427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032996180", 
          "https://doi.org/10.1007/bf02277427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1992.131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003515428", 
          "https://doi.org/10.1038/hdy.1992.131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00302254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033014241", 
          "https://doi.org/10.1007/bf00302254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1994.49", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030571523", 
          "https://doi.org/10.1038/hdy.1994.49"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1997-12", 
    "datePublishedReg": "1997-12-01", 
    "description": "In order to detect the genetic architecture of maize tolerance to Alachlor, a widely used chloroacetanilide, linkage analysis between the expression of the trait and allelic composition of molecular markers was performed. The experiment was carried out on a population of 142 recombinant inbred lines, developed starting from the F1 between two lines with different reactivity to the herbicide, and self-fertilized for 10 generations; the lines were typed by 48 RFLP markers and 66 microsatellites (SSR). Besides seedling tolerance, evaluated as proportion of normal (non-injured) plants after herbicide treatment, other minor components of tolerance were studied: seed germination ability, pollen germination and tube growth in the presence of the herbicide. The analysis, performed by three statistical methods, revealed the presence of factors controlling seedling tolerance on seven chromosomal regions. Five QTLs appeared to be involved in seed germination ability in the presence of Alachlor, four QTLs in pollen tolerance in terms of germination and four in tube growth under stress were detected. Three loci, on chromosomes 1, 7 and 10, explained most of the variation of seedling tolerance, thus being interesting candidate for marker-assisted selection.", 
    "genre": "article", 
    "id": "sg:pub.10.1023/a:1009631301428", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1114043", 
        "issn": [
          "1380-3743", 
          "1572-9788"
        ], 
        "name": "Molecular Breeding", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "keywords": [
      "seed germination ability", 
      "germination ability", 
      "tube growth", 
      "molecular markers", 
      "marker-assisted selection", 
      "terms of germination", 
      "genetic dissection", 
      "genetic architecture", 
      "maize tolerance", 
      "pollen tolerance", 
      "normal plants", 
      "herbicide tolerance", 
      "RFLP markers", 
      "allelic composition", 
      "chromosomal regions", 
      "chromosome 1", 
      "presence of alachlor", 
      "pollen germination", 
      "herbicide treatments", 
      "QTL", 
      "germination", 
      "herbicides", 
      "tolerance", 
      "alachlor", 
      "minor components", 
      "microsatellites", 
      "interesting candidates", 
      "markers", 
      "loci", 
      "traits", 
      "recombinants", 
      "plants", 
      "growth", 
      "maize", 
      "lines", 
      "presence of factors", 
      "expression", 
      "F1", 
      "presence", 
      "ability", 
      "chloroacetanilides", 
      "selection", 
      "stress", 
      "population", 
      "region", 
      "analysis", 
      "variation", 
      "composition", 
      "components", 
      "proportion", 
      "experiments", 
      "statistical methods", 
      "factors", 
      "candidates", 
      "generation", 
      "dissection", 
      "treatment", 
      "architecture", 
      "different reactivity", 
      "order", 
      "terms", 
      "reactivity", 
      "method"
    ], 
    "name": "Genetic dissection of herbicide tolerance in maize by molecular markers", 
    "pagination": "481-493", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052315785"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1009631301428"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1009631301428", 
      "https://app.dimensions.ai/details/publication/pub.1052315785"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-06-01T22:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_290.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1023/a:1009631301428"
  }
]
 

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.10.1023/a:1009631301428'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1009631301428'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1009631301428'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1009631301428'


 

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

215 TRIPLES      22 PREDICATES      103 URIs      81 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1009631301428 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 anzsrc-for:0607
4 anzsrc-for:07
5 anzsrc-for:0703
6 schema:author Nd55a4fde63dc41b188f478e55568dd6b
7 schema:citation sg:pub.10.1007/bf00223708
8 sg:pub.10.1007/bf00223713
9 sg:pub.10.1007/bf00280195
10 sg:pub.10.1007/bf00302254
11 sg:pub.10.1007/bf01253990
12 sg:pub.10.1007/bf02173644
13 sg:pub.10.1007/bf02277427
14 sg:pub.10.1038/hdy.1992.131
15 sg:pub.10.1038/hdy.1992.146
16 sg:pub.10.1038/hdy.1994.49
17 sg:pub.10.1038/hdy.1997.22
18 schema:datePublished 1997-12
19 schema:datePublishedReg 1997-12-01
20 schema:description In order to detect the genetic architecture of maize tolerance to Alachlor, a widely used chloroacetanilide, linkage analysis between the expression of the trait and allelic composition of molecular markers was performed. The experiment was carried out on a population of 142 recombinant inbred lines, developed starting from the F1 between two lines with different reactivity to the herbicide, and self-fertilized for 10 generations; the lines were typed by 48 RFLP markers and 66 microsatellites (SSR). Besides seedling tolerance, evaluated as proportion of normal (non-injured) plants after herbicide treatment, other minor components of tolerance were studied: seed germination ability, pollen germination and tube growth in the presence of the herbicide. The analysis, performed by three statistical methods, revealed the presence of factors controlling seedling tolerance on seven chromosomal regions. Five QTLs appeared to be involved in seed germination ability in the presence of Alachlor, four QTLs in pollen tolerance in terms of germination and four in tube growth under stress were detected. Three loci, on chromosomes 1, 7 and 10, explained most of the variation of seedling tolerance, thus being interesting candidate for marker-assisted selection.
21 schema:genre article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N0d15cd5613d845e8b7b65cd0efd87511
25 Ne871db4eaf5d4fc9a3b2df169f4598af
26 sg:journal.1114043
27 schema:keywords F1
28 QTL
29 RFLP markers
30 ability
31 alachlor
32 allelic composition
33 analysis
34 architecture
35 candidates
36 chloroacetanilides
37 chromosomal regions
38 chromosome 1
39 components
40 composition
41 different reactivity
42 dissection
43 experiments
44 expression
45 factors
46 generation
47 genetic architecture
48 genetic dissection
49 germination
50 germination ability
51 growth
52 herbicide tolerance
53 herbicide treatments
54 herbicides
55 interesting candidates
56 lines
57 loci
58 maize
59 maize tolerance
60 marker-assisted selection
61 markers
62 method
63 microsatellites
64 minor components
65 molecular markers
66 normal plants
67 order
68 plants
69 pollen germination
70 pollen tolerance
71 population
72 presence
73 presence of alachlor
74 presence of factors
75 proportion
76 reactivity
77 recombinants
78 region
79 seed germination ability
80 selection
81 statistical methods
82 stress
83 terms
84 terms of germination
85 tolerance
86 traits
87 treatment
88 tube growth
89 variation
90 schema:name Genetic dissection of herbicide tolerance in maize by molecular markers
91 schema:pagination 481-493
92 schema:productId N7b0e1564bfdc40faabd9acd2fa5aa275
93 N9c570af335cd4c1697e0e03dda179894
94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052315785
95 https://doi.org/10.1023/a:1009631301428
96 schema:sdDatePublished 2022-06-01T22:03
97 schema:sdLicense https://scigraph.springernature.com/explorer/license/
98 schema:sdPublisher N9500ae8766b74b09938eecdf33020fb9
99 schema:url https://doi.org/10.1023/a:1009631301428
100 sgo:license sg:explorer/license/
101 sgo:sdDataset articles
102 rdf:type schema:ScholarlyArticle
103 N0d15cd5613d845e8b7b65cd0efd87511 schema:issueNumber 6
104 rdf:type schema:PublicationIssue
105 N30f2d0d276ab4569a211d18e0a94ffa2 rdf:first sg:person.01001314172.64
106 rdf:rest N7029082b6eb94183a52e259b2dacc8c7
107 N670f2c4300ec47b9ab92d9c4db924d1d rdf:first sg:person.010240451743.10
108 rdf:rest Nf3ca491fe24e49ce9f037381c7dba6e7
109 N7029082b6eb94183a52e259b2dacc8c7 rdf:first sg:person.010042050405.22
110 rdf:rest rdf:nil
111 N7b0e1564bfdc40faabd9acd2fa5aa275 schema:name doi
112 schema:value 10.1023/a:1009631301428
113 rdf:type schema:PropertyValue
114 N9500ae8766b74b09938eecdf33020fb9 schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 N9c570af335cd4c1697e0e03dda179894 schema:name dimensions_id
117 schema:value pub.1052315785
118 rdf:type schema:PropertyValue
119 Nd55a4fde63dc41b188f478e55568dd6b rdf:first sg:person.0577233307.74
120 rdf:rest Ne0f3b47292fb49e6abb22ac3b2753694
121 Ne0f3b47292fb49e6abb22ac3b2753694 rdf:first sg:person.0675067307.03
122 rdf:rest N670f2c4300ec47b9ab92d9c4db924d1d
123 Ne871db4eaf5d4fc9a3b2df169f4598af schema:volumeNumber 3
124 rdf:type schema:PublicationVolume
125 Nf3ca491fe24e49ce9f037381c7dba6e7 rdf:first sg:person.0772033504.06
126 rdf:rest N30f2d0d276ab4569a211d18e0a94ffa2
127 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
128 schema:name Biological Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
131 schema:name Genetics
132 rdf:type schema:DefinedTerm
133 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
134 schema:name Plant Biology
135 rdf:type schema:DefinedTerm
136 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
137 schema:name Agricultural and Veterinary Sciences
138 rdf:type schema:DefinedTerm
139 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
140 schema:name Crop and Pasture Production
141 rdf:type schema:DefinedTerm
142 sg:journal.1114043 schema:issn 1380-3743
143 1572-9788
144 schema:name Molecular Breeding
145 schema:publisher Springer Nature
146 rdf:type schema:Periodical
147 sg:person.01001314172.64 schema:affiliation grid-institutes:grid.4708.b
148 schema:familyName Taramino
149 schema:givenName Graziana
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001314172.64
151 rdf:type schema:Person
152 sg:person.010042050405.22 schema:affiliation grid-institutes:grid.4708.b
153 schema:familyName Villa
154 schema:givenName Marzio
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010042050405.22
156 rdf:type schema:Person
157 sg:person.010240451743.10 schema:affiliation grid-institutes:grid.4708.b
158 schema:familyName Binelli
159 schema:givenName Giorgio
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010240451743.10
161 rdf:type schema:Person
162 sg:person.0577233307.74 schema:affiliation grid-institutes:grid.4708.b
163 schema:familyName Sari-Gorla
164 schema:givenName Mirella
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577233307.74
166 rdf:type schema:Person
167 sg:person.0675067307.03 schema:affiliation grid-institutes:grid.425086.d
168 schema:familyName Krajewski
169 schema:givenName Pawel
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675067307.03
171 rdf:type schema:Person
172 sg:person.0772033504.06 schema:affiliation grid-institutes:grid.4708.b
173 schema:familyName Frova
174 schema:givenName Carla
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772033504.06
176 rdf:type schema:Person
177 sg:pub.10.1007/bf00223708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045032349
178 https://doi.org/10.1007/bf00223708
179 rdf:type schema:CreativeWork
180 sg:pub.10.1007/bf00223713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005907606
181 https://doi.org/10.1007/bf00223713
182 rdf:type schema:CreativeWork
183 sg:pub.10.1007/bf00280195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031887597
184 https://doi.org/10.1007/bf00280195
185 rdf:type schema:CreativeWork
186 sg:pub.10.1007/bf00302254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033014241
187 https://doi.org/10.1007/bf00302254
188 rdf:type schema:CreativeWork
189 sg:pub.10.1007/bf01253990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021364234
190 https://doi.org/10.1007/bf01253990
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/bf02173644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011480125
193 https://doi.org/10.1007/bf02173644
194 rdf:type schema:CreativeWork
195 sg:pub.10.1007/bf02277427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032996180
196 https://doi.org/10.1007/bf02277427
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/hdy.1992.131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003515428
199 https://doi.org/10.1038/hdy.1992.131
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/hdy.1992.146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026942972
202 https://doi.org/10.1038/hdy.1992.146
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/hdy.1994.49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030571523
205 https://doi.org/10.1038/hdy.1994.49
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/hdy.1997.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025855051
208 https://doi.org/10.1038/hdy.1997.22
209 rdf:type schema:CreativeWork
210 grid-institutes:grid.425086.d schema:alternateName Institute of Plant Genetics, Polish Academy of Sciences, Strzeszynska 34, 60-479, Poznan, Poland
211 schema:name Institute of Plant Genetics, Polish Academy of Sciences, Strzeszynska 34, 60-479, Poznan, Poland
212 rdf:type schema:Organization
213 grid-institutes:grid.4708.b schema:alternateName Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy
214 schema:name Department of Genetics and Microbiology, University of Milano, Via Celoria 26, 20133, Milano, Italy
215 rdf:type schema:Organization
 




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


...