Variation in nitrogen use efficiency among soft red winter wheat genotypes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1986-03

AUTHORS

D. A. Van Sanford, C. T. MacKown

ABSTRACT

Nitrogen use efficiency (NUE), defined as grain dry weight or grain nitrogen as a function of N supply, was evaluated in 25 soft red winter wheat genotypes for two years at one location. Significant genotypic variation was observed for NUE, nitrogen harvest index, and grain yield. Genotype x environment interaction for these traits was not significant. Several variables including N uptake efficiency (total plant N as a function of N supply), grain harvest index, and N concentration at maturity were evaluated for their role in determining differences in NUE. Nitrogen uptake efficiency accounted for 54% of the genotypic variation in NUE for yield and 72% of the genotypic variation in NUE for protein. A path coefficient analysis revealed that the direct effect of uptake efficiency on NUE was high relative to indirect effects. More... »

PAGES

158-163

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00266987

DOI

http://dx.doi.org/10.1007/bf00266987

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046868231

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24247829


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/2008/0703", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Crop and Pasture Production", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "United States Department of Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.417548.b", 
          "name": [
            "Department of Agronomy, University of Kentucky, 40546-0091, Lexington, KY, USA", 
            "USDA, ARS, 40546-0091, Lexington, KY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Van Sanford", 
        "givenName": "D. A.", 
        "id": "sg:person.011230535744.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011230535744.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "United States Department of Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.417548.b", 
          "name": [
            "Department of Agronomy, University of Kentucky, 40546-0091, Lexington, KY, USA", 
            "USDA, ARS, 40546-0091, Lexington, KY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "MacKown", 
        "givenName": "C. T.", 
        "id": "sg:person.01320346121.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320346121.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1017/s002185960003389x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006293293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002185960003389x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006293293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002185960003389x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006293293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00317013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016354218", 
          "https://doi.org/10.1007/bf00317013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00317013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016354218", 
          "https://doi.org/10.1007/bf00317013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4141/cjps83-008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029075590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.71.1.7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031018071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3059.1954.tb00716.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032407401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/pp9810191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036674378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02180053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042494727", 
          "https://doi.org/10.1007/bf02180053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02180053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042494727", 
          "https://doi.org/10.1007/bf02180053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00043182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046403612", 
          "https://doi.org/10.1007/bf00043182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00043182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046403612", 
          "https://doi.org/10.1007/bf00043182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021859600034493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049795712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021859600034493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049795712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021859600034493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049795712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/agronj1960.00021962005200040009x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068985528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/agronj1966.00021962005800060016x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068986979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/agronj1973.00021962006500030026x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068988642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/agronj1982.00021962007400030037x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068990855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/agronj1982.00021962007400060007x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068990944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci1968.0011183x000800050008x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069014551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci1972.0011183x001200050014x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069015982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci1985.0011183x002500030003x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069020459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci1985.0011183x002500030021x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069020477"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1986-03", 
    "datePublishedReg": "1986-03-01", 
    "description": "Nitrogen use efficiency (NUE), defined as grain dry weight or grain nitrogen as a function of N supply, was evaluated in 25 soft red winter wheat genotypes for two years at one location. Significant genotypic variation was observed for NUE, nitrogen harvest index, and grain yield. Genotype x environment interaction for these traits was not significant. Several variables including N uptake efficiency (total plant N as a function of N supply), grain harvest index, and N concentration at maturity were evaluated for their role in determining differences in NUE. Nitrogen uptake efficiency accounted for 54% of the genotypic variation in NUE for yield and 72% of the genotypic variation in NUE for protein. A path coefficient analysis revealed that the direct effect of uptake efficiency on NUE was high relative to indirect effects. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00266987", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135804", 
        "issn": [
          "0040-5752", 
          "1432-2242"
        ], 
        "name": "Theoretical and Applied Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "72"
      }
    ], 
    "name": "Variation in nitrogen use efficiency among soft red winter wheat genotypes", 
    "pagination": "158-163", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "df43801993ae7b92b94c976bbd5ed0bdf6d3de2ec5599ed52c1760d91719d76f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24247829"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0145600"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00266987"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046868231"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00266987", 
      "https://app.dimensions.ai/details/publication/pub.1046868231"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:49", 
    "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/v90/0000000371_0000000371/records_130794_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00266987"
  }
]
 

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/bf00266987'

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/bf00266987'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00266987'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00266987'


 

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

134 TRIPLES      21 PREDICATES      47 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00266987 schema:about anzsrc-for:07
2 anzsrc-for:0703
3 schema:author Neb1e315d32174d56b884aea1456da2b7
4 schema:citation sg:pub.10.1007/bf00043182
5 sg:pub.10.1007/bf00317013
6 sg:pub.10.1007/bf02180053
7 https://doi.org/10.1017/s002185960003389x
8 https://doi.org/10.1017/s0021859600034493
9 https://doi.org/10.1071/pp9810191
10 https://doi.org/10.1104/pp.71.1.7
11 https://doi.org/10.1111/j.1365-3059.1954.tb00716.x
12 https://doi.org/10.2134/agronj1960.00021962005200040009x
13 https://doi.org/10.2134/agronj1966.00021962005800060016x
14 https://doi.org/10.2134/agronj1973.00021962006500030026x
15 https://doi.org/10.2134/agronj1982.00021962007400030037x
16 https://doi.org/10.2134/agronj1982.00021962007400060007x
17 https://doi.org/10.2135/cropsci1968.0011183x000800050008x
18 https://doi.org/10.2135/cropsci1972.0011183x001200050014x
19 https://doi.org/10.2135/cropsci1985.0011183x002500030003x
20 https://doi.org/10.2135/cropsci1985.0011183x002500030021x
21 https://doi.org/10.4141/cjps83-008
22 schema:datePublished 1986-03
23 schema:datePublishedReg 1986-03-01
24 schema:description Nitrogen use efficiency (NUE), defined as grain dry weight or grain nitrogen as a function of N supply, was evaluated in 25 soft red winter wheat genotypes for two years at one location. Significant genotypic variation was observed for NUE, nitrogen harvest index, and grain yield. Genotype x environment interaction for these traits was not significant. Several variables including N uptake efficiency (total plant N as a function of N supply), grain harvest index, and N concentration at maturity were evaluated for their role in determining differences in NUE. Nitrogen uptake efficiency accounted for 54% of the genotypic variation in NUE for yield and 72% of the genotypic variation in NUE for protein. A path coefficient analysis revealed that the direct effect of uptake efficiency on NUE was high relative to indirect effects.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf N3a1029bd17564aed81e53d02735a9895
29 N57cdbe2b040346349925a63b341c4176
30 sg:journal.1135804
31 schema:name Variation in nitrogen use efficiency among soft red winter wheat genotypes
32 schema:pagination 158-163
33 schema:productId N02be9a379a7e400c8599ea8c16a2d4b6
34 N3d02297b2b1c404bb99dfc32ff61fc43
35 N519055635eb84b31afa9d1113b8e7e27
36 N5505133a0a7140de8682d6aebdf44b37
37 N84cdc66c58a8465f9977e6acb04cdc0a
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046868231
39 https://doi.org/10.1007/bf00266987
40 schema:sdDatePublished 2019-04-11T13:49
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher Nfc27cb0ead684cb9af783bcdccd320da
43 schema:url http://link.springer.com/10.1007/BF00266987
44 sgo:license sg:explorer/license/
45 sgo:sdDataset articles
46 rdf:type schema:ScholarlyArticle
47 N02be9a379a7e400c8599ea8c16a2d4b6 schema:name pubmed_id
48 schema:value 24247829
49 rdf:type schema:PropertyValue
50 N2d870ac621ff4058a66affd4f6672619 rdf:first sg:person.01320346121.55
51 rdf:rest rdf:nil
52 N3a1029bd17564aed81e53d02735a9895 schema:issueNumber 2
53 rdf:type schema:PublicationIssue
54 N3d02297b2b1c404bb99dfc32ff61fc43 schema:name doi
55 schema:value 10.1007/bf00266987
56 rdf:type schema:PropertyValue
57 N519055635eb84b31afa9d1113b8e7e27 schema:name readcube_id
58 schema:value df43801993ae7b92b94c976bbd5ed0bdf6d3de2ec5599ed52c1760d91719d76f
59 rdf:type schema:PropertyValue
60 N5505133a0a7140de8682d6aebdf44b37 schema:name nlm_unique_id
61 schema:value 0145600
62 rdf:type schema:PropertyValue
63 N57cdbe2b040346349925a63b341c4176 schema:volumeNumber 72
64 rdf:type schema:PublicationVolume
65 N84cdc66c58a8465f9977e6acb04cdc0a schema:name dimensions_id
66 schema:value pub.1046868231
67 rdf:type schema:PropertyValue
68 Neb1e315d32174d56b884aea1456da2b7 rdf:first sg:person.011230535744.57
69 rdf:rest N2d870ac621ff4058a66affd4f6672619
70 Nfc27cb0ead684cb9af783bcdccd320da schema:name Springer Nature - SN SciGraph project
71 rdf:type schema:Organization
72 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
73 schema:name Agricultural and Veterinary Sciences
74 rdf:type schema:DefinedTerm
75 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
76 schema:name Crop and Pasture Production
77 rdf:type schema:DefinedTerm
78 sg:journal.1135804 schema:issn 0040-5752
79 1432-2242
80 schema:name Theoretical and Applied Genetics
81 rdf:type schema:Periodical
82 sg:person.011230535744.57 schema:affiliation https://www.grid.ac/institutes/grid.417548.b
83 schema:familyName Van Sanford
84 schema:givenName D. A.
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011230535744.57
86 rdf:type schema:Person
87 sg:person.01320346121.55 schema:affiliation https://www.grid.ac/institutes/grid.417548.b
88 schema:familyName MacKown
89 schema:givenName C. T.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320346121.55
91 rdf:type schema:Person
92 sg:pub.10.1007/bf00043182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046403612
93 https://doi.org/10.1007/bf00043182
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/bf00317013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016354218
96 https://doi.org/10.1007/bf00317013
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/bf02180053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042494727
99 https://doi.org/10.1007/bf02180053
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1017/s002185960003389x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006293293
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1017/s0021859600034493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049795712
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1071/pp9810191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036674378
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1104/pp.71.1.7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031018071
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1111/j.1365-3059.1954.tb00716.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032407401
110 rdf:type schema:CreativeWork
111 https://doi.org/10.2134/agronj1960.00021962005200040009x schema:sameAs https://app.dimensions.ai/details/publication/pub.1068985528
112 rdf:type schema:CreativeWork
113 https://doi.org/10.2134/agronj1966.00021962005800060016x schema:sameAs https://app.dimensions.ai/details/publication/pub.1068986979
114 rdf:type schema:CreativeWork
115 https://doi.org/10.2134/agronj1973.00021962006500030026x schema:sameAs https://app.dimensions.ai/details/publication/pub.1068988642
116 rdf:type schema:CreativeWork
117 https://doi.org/10.2134/agronj1982.00021962007400030037x schema:sameAs https://app.dimensions.ai/details/publication/pub.1068990855
118 rdf:type schema:CreativeWork
119 https://doi.org/10.2134/agronj1982.00021962007400060007x schema:sameAs https://app.dimensions.ai/details/publication/pub.1068990944
120 rdf:type schema:CreativeWork
121 https://doi.org/10.2135/cropsci1968.0011183x000800050008x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069014551
122 rdf:type schema:CreativeWork
123 https://doi.org/10.2135/cropsci1972.0011183x001200050014x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069015982
124 rdf:type schema:CreativeWork
125 https://doi.org/10.2135/cropsci1985.0011183x002500030003x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069020459
126 rdf:type schema:CreativeWork
127 https://doi.org/10.2135/cropsci1985.0011183x002500030021x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069020477
128 rdf:type schema:CreativeWork
129 https://doi.org/10.4141/cjps83-008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029075590
130 rdf:type schema:CreativeWork
131 https://www.grid.ac/institutes/grid.417548.b schema:alternateName United States Department of Agriculture
132 schema:name Department of Agronomy, University of Kentucky, 40546-0091, Lexington, KY, USA
133 USDA, ARS, 40546-0091, Lexington, KY, USA
134 rdf:type schema:Organization
 




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


...