Genetic differences in water-use efficiency, stomatal conductance and carbon isotope fractionation in potato View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1989-06

AUTHORS

J. Vos, J. Groenwold

ABSTRACT

Potato (Solanum tuberosum L.) cultivars were grown in pots and containers under a rain shelter to examine differences in stomatal conductance, water-use efficiency, and carbon isotope fractionation. Conductance was measured on abaxial leaf surfaces with a steady state diffusion porometer. Carbon isotopic analyses were made with an isotope ratio mass spectrometer. Water-use efficiency (WUE) was obtained by dividing total dry matter production by cumulative transpiration. Significant genetic variation was observed for each trait. WUE was positively related to carbon isotope fractionation (13∈) and was inversely related to stomatal conductance. Carbon isotope analysis and porometry show potential as indirect screening methods to identify genetic differences in water-use efficiency. More... »

PAGES

113-121

Journal

TITLE

Potato Research

ISSUE

2

VOLUME

32

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02358219

DOI

http://dx.doi.org/10.1007/bf02358219

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000929461


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/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Department of Field Crops and Grassland Science, Wageningen Agricultural University, Haarweg 333, 6709 RZ, Wageningen, the Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vos", 
        "givenName": "J.", 
        "id": "sg:person.0721560170.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721560170.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Centre for Agrobiological Research (CABO), P.O. Box 14, 6700 AA, Wageningen, the Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Groenwold", 
        "givenName": "J.", 
        "id": "sg:person.011570125163.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011570125163.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1071/pp9820121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003631144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-7381(73)80044-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005168076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00055065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010872763", 
          "https://doi.org/10.1007/bf00055065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00055065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010872763", 
          "https://doi.org/10.1007/bf00055065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02362015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023226365", 
          "https://doi.org/10.1007/bf02362015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02362015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023226365", 
          "https://doi.org/10.1007/bf02362015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/pp9860803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031415925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/pp9840539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037418521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4290(89)90068-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040220492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4290(89)90068-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040220492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02356152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041357329", 
          "https://doi.org/10.1007/bf02356152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02356152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041357329", 
          "https://doi.org/10.1007/bf02356152"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1989-06", 
    "datePublishedReg": "1989-06-01", 
    "description": "Potato (Solanum tuberosum L.) cultivars were grown in pots and containers under a rain shelter to examine differences in stomatal conductance, water-use efficiency, and carbon isotope fractionation. Conductance was measured on abaxial leaf surfaces with a steady state diffusion porometer. Carbon isotopic analyses were made with an isotope ratio mass spectrometer. Water-use efficiency (WUE) was obtained by dividing total dry matter production by cumulative transpiration. Significant genetic variation was observed for each trait. WUE was positively related to carbon isotope fractionation (13\u2208) and was inversely related to stomatal conductance. Carbon isotope analysis and porometry show potential as indirect screening methods to identify genetic differences in water-use efficiency.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02358219", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1030476", 
        "issn": [
          "0014-3065", 
          "1871-4528"
        ], 
        "name": "Potato Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "name": "Genetic differences in water-use efficiency, stomatal conductance and carbon isotope fractionation in potato", 
    "pagination": "113-121", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "046dc568d3eff9f49ecdf34ebc18f16e8fb48b37b5abc8c110e2236f0634289a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02358219"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000929461"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02358219", 
      "https://app.dimensions.ai/details/publication/pub.1000929461"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000365_0000000365/records_71707_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF02358219"
  }
]
 

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/bf02358219'

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/bf02358219'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02358219'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02358219'


 

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

97 TRIPLES      21 PREDICATES      35 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02358219 schema:about anzsrc-for:06
2 anzsrc-for:0607
3 schema:author Nf8971bf281b64be78e607b3157023e49
4 schema:citation sg:pub.10.1007/bf00055065
5 sg:pub.10.1007/bf02356152
6 sg:pub.10.1007/bf02362015
7 https://doi.org/10.1016/0020-7381(73)80044-0
8 https://doi.org/10.1016/0378-4290(89)90068-3
9 https://doi.org/10.1071/pp9820121
10 https://doi.org/10.1071/pp9840539
11 https://doi.org/10.1071/pp9860803
12 schema:datePublished 1989-06
13 schema:datePublishedReg 1989-06-01
14 schema:description Potato (Solanum tuberosum L.) cultivars were grown in pots and containers under a rain shelter to examine differences in stomatal conductance, water-use efficiency, and carbon isotope fractionation. Conductance was measured on abaxial leaf surfaces with a steady state diffusion porometer. Carbon isotopic analyses were made with an isotope ratio mass spectrometer. Water-use efficiency (WUE) was obtained by dividing total dry matter production by cumulative transpiration. Significant genetic variation was observed for each trait. WUE was positively related to carbon isotope fractionation (13∈) and was inversely related to stomatal conductance. Carbon isotope analysis and porometry show potential as indirect screening methods to identify genetic differences in water-use efficiency.
15 schema:genre research_article
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf Nb86113f631d8493f9255ac7cbe48ba24
19 Nbc31ffbb893f4b8587a4003f9e83ec16
20 sg:journal.1030476
21 schema:name Genetic differences in water-use efficiency, stomatal conductance and carbon isotope fractionation in potato
22 schema:pagination 113-121
23 schema:productId N4275e1ed1c364afc9f209cd2c530e1b3
24 N49d8e9e281fb469f8e82f8658dc5e7ce
25 N9dda2c32b06548d7a4cd829b510c3e25
26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000929461
27 https://doi.org/10.1007/bf02358219
28 schema:sdDatePublished 2019-04-11T13:00
29 schema:sdLicense https://scigraph.springernature.com/explorer/license/
30 schema:sdPublisher Nd18a5aaf2c09478e8102271ebd05cbc3
31 schema:url http://link.springer.com/10.1007/BF02358219
32 sgo:license sg:explorer/license/
33 sgo:sdDataset articles
34 rdf:type schema:ScholarlyArticle
35 N36c94b9aa03a4d8293569af47093530e schema:name Centre for Agrobiological Research (CABO), P.O. Box 14, 6700 AA, Wageningen, the Netherlands
36 rdf:type schema:Organization
37 N4275e1ed1c364afc9f209cd2c530e1b3 schema:name doi
38 schema:value 10.1007/bf02358219
39 rdf:type schema:PropertyValue
40 N49d8e9e281fb469f8e82f8658dc5e7ce schema:name readcube_id
41 schema:value 046dc568d3eff9f49ecdf34ebc18f16e8fb48b37b5abc8c110e2236f0634289a
42 rdf:type schema:PropertyValue
43 N9dda2c32b06548d7a4cd829b510c3e25 schema:name dimensions_id
44 schema:value pub.1000929461
45 rdf:type schema:PropertyValue
46 Nb86113f631d8493f9255ac7cbe48ba24 schema:issueNumber 2
47 rdf:type schema:PublicationIssue
48 Nbc31ffbb893f4b8587a4003f9e83ec16 schema:volumeNumber 32
49 rdf:type schema:PublicationVolume
50 Nc6f014c5081e4959bdd6fe73685bb8b9 rdf:first sg:person.011570125163.39
51 rdf:rest rdf:nil
52 Nd18a5aaf2c09478e8102271ebd05cbc3 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 Nf8971bf281b64be78e607b3157023e49 rdf:first sg:person.0721560170.07
55 rdf:rest Nc6f014c5081e4959bdd6fe73685bb8b9
56 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
57 schema:name Biological Sciences
58 rdf:type schema:DefinedTerm
59 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
60 schema:name Plant Biology
61 rdf:type schema:DefinedTerm
62 sg:journal.1030476 schema:issn 0014-3065
63 1871-4528
64 schema:name Potato Research
65 rdf:type schema:Periodical
66 sg:person.011570125163.39 schema:affiliation N36c94b9aa03a4d8293569af47093530e
67 schema:familyName Groenwold
68 schema:givenName J.
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011570125163.39
70 rdf:type schema:Person
71 sg:person.0721560170.07 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
72 schema:familyName Vos
73 schema:givenName J.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721560170.07
75 rdf:type schema:Person
76 sg:pub.10.1007/bf00055065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010872763
77 https://doi.org/10.1007/bf00055065
78 rdf:type schema:CreativeWork
79 sg:pub.10.1007/bf02356152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041357329
80 https://doi.org/10.1007/bf02356152
81 rdf:type schema:CreativeWork
82 sg:pub.10.1007/bf02362015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023226365
83 https://doi.org/10.1007/bf02362015
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1016/0020-7381(73)80044-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005168076
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1016/0378-4290(89)90068-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040220492
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1071/pp9820121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003631144
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1071/pp9840539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037418521
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1071/pp9860803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031415925
94 rdf:type schema:CreativeWork
95 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
96 schema:name Department of Field Crops and Grassland Science, Wageningen Agricultural University, Haarweg 333, 6709 RZ, Wageningen, the Netherlands
97 rdf:type schema:Organization
 




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


...