A comparison of methods, including angled and vertical minirhizotrons, for studying root growth and distribution in a spring oat crop View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1983-10

AUTHORS

P. L. Bragg, G. Govi, R. Q. Cannell

ABSTRACT

Four methods of measuring root distribution in a spring oat crop were compared: minirhizotrons installed vertically, minirhizotrons installed at an angle of 45°, core-break root counts and direct measurement of lengths of root washed from soil cores. Minirhizotrons gave better estimates of root distribution where installed at 45° rather than vertically and could be used in the horizon between 30 cm below the soil surface and the maximum depth of rooting. We confirmed that relative root distribution at a particular growth stage can be assessed from counts of the number of roots crossing horizontal faces in core segments. More... »

PAGES

435-440

References to SciGraph publications

Journal

TITLE

Plant and Soil

ISSUE

3

VOLUME

73

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02184322

DOI

http://dx.doi.org/10.1007/bf02184322

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037417979


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/2008/0503", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Soil Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Agricultural Research Council Letcombe Laboratory, OX12 9JT, Wantage, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bragg", 
        "givenName": "P. L.", 
        "id": "sg:person.011006351775.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011006351775.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Agricultural Research Council Letcombe Laboratory, OX12 9JT, Wantage, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Govi", 
        "givenName": "G.", 
        "id": "sg:person.012401312775.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012401312775.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Agricultural Research Council Letcombe Laboratory, OX12 9JT, Wantage, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cannell", 
        "givenName": "R. Q.", 
        "id": "sg:person.010271266445.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010271266445.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02181809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012050174", 
          "https://doi.org/10.1007/bf02181809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02181809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012050174", 
          "https://doi.org/10.1007/bf02181809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02181808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013563979", 
          "https://doi.org/10.1007/bf02181808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02181808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013563979", 
          "https://doi.org/10.1007/bf02181808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021859600028951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021220266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021859600028951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021220266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021859600028951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021220266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-67282-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028024141", 
          "https://doi.org/10.1007/978-3-642-67282-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-67282-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028024141", 
          "https://doi.org/10.1007/978-3-642-67282-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/139966b0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033624726", 
          "https://doi.org/10.1038/139966b0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/139966b0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033624726", 
          "https://doi.org/10.1038/139966b0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01372650", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044442272", 
          "https://doi.org/10.1007/bf01372650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01372650", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044442272", 
          "https://doi.org/10.1007/bf01372650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/b71-261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046326895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1744-7348.1979.tb06534.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049526592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jxb/30.1.205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059854654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/agronj1977.00021962006900030021x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068989628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/agronj1978.00021962007000060043x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068990025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2258617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069851877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2401574", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069911363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2401670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069911443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2402144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069911883"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1983-10", 
    "datePublishedReg": "1983-10-01", 
    "description": "Four methods of measuring root distribution in a spring oat crop were compared: minirhizotrons installed vertically, minirhizotrons installed at an angle of 45\u00b0, core-break root counts and direct measurement of lengths of root washed from soil cores. Minirhizotrons gave better estimates of root distribution where installed at 45\u00b0 rather than vertically and could be used in the horizon between 30 cm below the soil surface and the maximum depth of rooting. We confirmed that relative root distribution at a particular growth stage can be assessed from counts of the number of roots crossing horizontal faces in core segments.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02184322", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1126575", 
        "issn": [
          "0032-079X", 
          "1573-5036"
        ], 
        "name": "Plant and Soil", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "73"
      }
    ], 
    "name": "A comparison of methods, including angled and vertical minirhizotrons, for studying root growth and distribution in a spring oat crop", 
    "pagination": "435-440", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b23e36f6d8f8a7f0e9f35a8962d40197b62859627251dc15531493e9275a33b3"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02184322"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037417979"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02184322", 
      "https://app.dimensions.ai/details/publication/pub.1037417979"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:14", 
    "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/v90/0000000361_0000000361/records_54003_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF02184322"
  }
]
 

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/bf02184322'

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/bf02184322'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02184322'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02184322'


 

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

128 TRIPLES      21 PREDICATES      42 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02184322 schema:about anzsrc-for:05
2 anzsrc-for:0503
3 schema:author Nb63908e46fb0415da70d713d65b10a17
4 schema:citation sg:pub.10.1007/978-3-642-67282-8
5 sg:pub.10.1007/bf01372650
6 sg:pub.10.1007/bf02181808
7 sg:pub.10.1007/bf02181809
8 sg:pub.10.1038/139966b0
9 https://doi.org/10.1017/s0021859600028951
10 https://doi.org/10.1093/jxb/30.1.205
11 https://doi.org/10.1111/j.1744-7348.1979.tb06534.x
12 https://doi.org/10.1139/b71-261
13 https://doi.org/10.2134/agronj1977.00021962006900030021x
14 https://doi.org/10.2134/agronj1978.00021962007000060043x
15 https://doi.org/10.2307/2258617
16 https://doi.org/10.2307/2401574
17 https://doi.org/10.2307/2401670
18 https://doi.org/10.2307/2402144
19 schema:datePublished 1983-10
20 schema:datePublishedReg 1983-10-01
21 schema:description Four methods of measuring root distribution in a spring oat crop were compared: minirhizotrons installed vertically, minirhizotrons installed at an angle of 45°, core-break root counts and direct measurement of lengths of root washed from soil cores. Minirhizotrons gave better estimates of root distribution where installed at 45° rather than vertically and could be used in the horizon between 30 cm below the soil surface and the maximum depth of rooting. We confirmed that relative root distribution at a particular growth stage can be assessed from counts of the number of roots crossing horizontal faces in core segments.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf N195f8f4db6574e708297b48d2916badd
26 Nc29375cd5267488cbffb640b83c90319
27 sg:journal.1126575
28 schema:name A comparison of methods, including angled and vertical minirhizotrons, for studying root growth and distribution in a spring oat crop
29 schema:pagination 435-440
30 schema:productId N2b915b0994244ff8914e1545b34cb881
31 Nbef1b39394cb4616ad02d7f64d57679b
32 Nf491fec67aaa4fcaa3eff38f6ad5eac8
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037417979
34 https://doi.org/10.1007/bf02184322
35 schema:sdDatePublished 2019-04-11T12:14
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher N83e095ba4813409fb722472e612f7374
38 schema:url http://link.springer.com/10.1007/BF02184322
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N195f8f4db6574e708297b48d2916badd schema:volumeNumber 73
43 rdf:type schema:PublicationVolume
44 N2aae56920a644f7aa082e5739339f0c2 schema:name Agricultural Research Council Letcombe Laboratory, OX12 9JT, Wantage, UK
45 rdf:type schema:Organization
46 N2b915b0994244ff8914e1545b34cb881 schema:name dimensions_id
47 schema:value pub.1037417979
48 rdf:type schema:PropertyValue
49 N73e3f6a2b64848ffb1f7f16ca735ea2a rdf:first sg:person.010271266445.96
50 rdf:rest rdf:nil
51 N75b007da336b439f938d94b74b348347 schema:name Agricultural Research Council Letcombe Laboratory, OX12 9JT, Wantage, UK
52 rdf:type schema:Organization
53 N83e095ba4813409fb722472e612f7374 schema:name Springer Nature - SN SciGraph project
54 rdf:type schema:Organization
55 Nb63908e46fb0415da70d713d65b10a17 rdf:first sg:person.011006351775.48
56 rdf:rest Nc00c32b5b09648059c38412717d5f5b3
57 Nbef1b39394cb4616ad02d7f64d57679b schema:name readcube_id
58 schema:value b23e36f6d8f8a7f0e9f35a8962d40197b62859627251dc15531493e9275a33b3
59 rdf:type schema:PropertyValue
60 Nc00c32b5b09648059c38412717d5f5b3 rdf:first sg:person.012401312775.43
61 rdf:rest N73e3f6a2b64848ffb1f7f16ca735ea2a
62 Nc29375cd5267488cbffb640b83c90319 schema:issueNumber 3
63 rdf:type schema:PublicationIssue
64 Nf491fec67aaa4fcaa3eff38f6ad5eac8 schema:name doi
65 schema:value 10.1007/bf02184322
66 rdf:type schema:PropertyValue
67 Nfbbd37794f4f4d3993978ec8cc9a5e9f schema:name Agricultural Research Council Letcombe Laboratory, OX12 9JT, Wantage, UK
68 rdf:type schema:Organization
69 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
70 schema:name Environmental Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
73 schema:name Soil Sciences
74 rdf:type schema:DefinedTerm
75 sg:journal.1126575 schema:issn 0032-079X
76 1573-5036
77 schema:name Plant and Soil
78 rdf:type schema:Periodical
79 sg:person.010271266445.96 schema:affiliation N75b007da336b439f938d94b74b348347
80 schema:familyName Cannell
81 schema:givenName R. Q.
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010271266445.96
83 rdf:type schema:Person
84 sg:person.011006351775.48 schema:affiliation N2aae56920a644f7aa082e5739339f0c2
85 schema:familyName Bragg
86 schema:givenName P. L.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011006351775.48
88 rdf:type schema:Person
89 sg:person.012401312775.43 schema:affiliation Nfbbd37794f4f4d3993978ec8cc9a5e9f
90 schema:familyName Govi
91 schema:givenName G.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012401312775.43
93 rdf:type schema:Person
94 sg:pub.10.1007/978-3-642-67282-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028024141
95 https://doi.org/10.1007/978-3-642-67282-8
96 rdf:type schema:CreativeWork
97 sg:pub.10.1007/bf01372650 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044442272
98 https://doi.org/10.1007/bf01372650
99 rdf:type schema:CreativeWork
100 sg:pub.10.1007/bf02181808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013563979
101 https://doi.org/10.1007/bf02181808
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/bf02181809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012050174
104 https://doi.org/10.1007/bf02181809
105 rdf:type schema:CreativeWork
106 sg:pub.10.1038/139966b0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033624726
107 https://doi.org/10.1038/139966b0
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1017/s0021859600028951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021220266
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1093/jxb/30.1.205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059854654
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1111/j.1744-7348.1979.tb06534.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049526592
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1139/b71-261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046326895
116 rdf:type schema:CreativeWork
117 https://doi.org/10.2134/agronj1977.00021962006900030021x schema:sameAs https://app.dimensions.ai/details/publication/pub.1068989628
118 rdf:type schema:CreativeWork
119 https://doi.org/10.2134/agronj1978.00021962007000060043x schema:sameAs https://app.dimensions.ai/details/publication/pub.1068990025
120 rdf:type schema:CreativeWork
121 https://doi.org/10.2307/2258617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069851877
122 rdf:type schema:CreativeWork
123 https://doi.org/10.2307/2401574 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069911363
124 rdf:type schema:CreativeWork
125 https://doi.org/10.2307/2401670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069911443
126 rdf:type schema:CreativeWork
127 https://doi.org/10.2307/2402144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069911883
128 rdf:type schema:CreativeWork
 




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


...