Identification of superior parents in a potato breeding programme View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1991-09

AUTHORS

A. E. F. Neele, H. J. Nab, K. M. Louwes

ABSTRACT

An incomplete diallel cross was used to study components of genetic variation in potatoes for a range of characters after early and late harvest. The progenies were also used to evaluate five predictors of progeny performance, namely the mean seedling performance, the mid-parent value and the means of the selfed progenies, of the diploid progenies and of the test-cross progenies. For almost all characters, the general combining ability effects were predominant, although the specific combining ability effects present were greater at late than at early harvests. The seedling performance for tuber yield, number of tubers and average tuber weight did not show any relevant relationship to the field performance. The midparent value provided, in general, satisfactory predictions of the mean progeny performance obtained in the diallel, except for ware tuber yield. The selfed and the diploid progenies did not improve the prediction of progeny means compared to the mid-parent value. The predictions based on the test-crosses surpassed those of the mid-parent value, particularly for tuber yield at ware potato harvest. Methods to identify superior parents are discussed. More... »

PAGES

264-272

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02190611

DOI

http://dx.doi.org/10.1007/bf02190611

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042689280

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24213169


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Center for Plant Breeding Research (CPO), PO Box 16, NL-6700, AA Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Neele", 
        "givenName": "A. E. F.", 
        "id": "sg:person.015405732625.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015405732625.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Center for Plant Breeding Research (CPO), PO Box 16, NL-6700, AA Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nab", 
        "givenName": "H. J.", 
        "id": "sg:person.0732372366.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732372366.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Center for Plant Breeding Research (CPO), PO Box 16, NL-6700, AA Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Louwes", 
        "givenName": "K. M.", 
        "id": "sg:person.01114734166.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114734166.35"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00252319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005729507", 
          "https://doi.org/10.1007/bf00252319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00252319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005729507", 
          "https://doi.org/10.1007/bf00252319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1744-7348.1988.tb02068.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011193881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00022425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020023100", 
          "https://doi.org/10.1007/bf00022425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00022425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020023100", 
          "https://doi.org/10.1007/bf00022425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02357841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021446201", 
          "https://doi.org/10.1007/bf02357841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02357841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021446201", 
          "https://doi.org/10.1007/bf02357841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02855564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021643839", 
          "https://doi.org/10.1007/bf02855564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02855564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021643839", 
          "https://doi.org/10.1007/bf02855564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00037195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024004579", 
          "https://doi.org/10.1007/bf00037195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00037195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024004579", 
          "https://doi.org/10.1007/bf00037195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00266194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026992343", 
          "https://doi.org/10.1007/bf00266194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00266194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026992343", 
          "https://doi.org/10.1007/bf00266194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/bi9560463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041396014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1744-7348.1977.tb01841.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044106168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00021679", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044242944", 
          "https://doi.org/10.1007/bf00021679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00021679", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044242944", 
          "https://doi.org/10.1007/bf00021679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00022632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044248285", 
          "https://doi.org/10.1007/bf00022632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00022632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044248285", 
          "https://doi.org/10.1007/bf00022632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/g76-056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045025157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00015117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086020848", 
          "https://doi.org/10.1007/bf00015117"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1991-09", 
    "datePublishedReg": "1991-09-01", 
    "description": "An incomplete diallel cross was used to study components of genetic variation in potatoes for a range of characters after early and late harvest. The progenies were also used to evaluate five predictors of progeny performance, namely the mean seedling performance, the mid-parent value and the means of the selfed progenies, of the diploid progenies and of the test-cross progenies. For almost all characters, the general combining ability effects were predominant, although the specific combining ability effects present were greater at late than at early harvests. The seedling performance for tuber yield, number of tubers and average tuber weight did not show any relevant relationship to the field performance. The midparent value provided, in general, satisfactory predictions of the mean progeny performance obtained in the diallel, except for ware tuber yield. The selfed and the diploid progenies did not improve the prediction of progeny means compared to the mid-parent value. The predictions based on the test-crosses surpassed those of the mid-parent value, particularly for tuber yield at ware potato harvest. Methods to identify superior parents are discussed. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02190611", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135804", 
        "issn": [
          "0040-5752", 
          "1432-2242"
        ], 
        "name": "Theoretical and Applied Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "82"
      }
    ], 
    "name": "Identification of superior parents in a potato breeding programme", 
    "pagination": "264-272", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cb589eb3f92d0e923b0d2c803e496daea86ef8bf07086f0e69505807fbae1e07"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24213169"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0145600"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02190611"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042689280"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02190611", 
      "https://app.dimensions.ai/details/publication/pub.1042689280"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:10", 
    "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_53977_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF02190611"
  }
]
 

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/bf02190611'

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/bf02190611'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02190611'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02190611'


 

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

134 TRIPLES      21 PREDICATES      42 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02190611 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author N3f2743ac2faa4dbfa505a5051a03717a
4 schema:citation sg:pub.10.1007/bf00015117
5 sg:pub.10.1007/bf00021679
6 sg:pub.10.1007/bf00022425
7 sg:pub.10.1007/bf00022632
8 sg:pub.10.1007/bf00037195
9 sg:pub.10.1007/bf00252319
10 sg:pub.10.1007/bf00266194
11 sg:pub.10.1007/bf02357841
12 sg:pub.10.1007/bf02855564
13 https://doi.org/10.1071/bi9560463
14 https://doi.org/10.1111/j.1744-7348.1977.tb01841.x
15 https://doi.org/10.1111/j.1744-7348.1988.tb02068.x
16 https://doi.org/10.1139/g76-056
17 schema:datePublished 1991-09
18 schema:datePublishedReg 1991-09-01
19 schema:description An incomplete diallel cross was used to study components of genetic variation in potatoes for a range of characters after early and late harvest. The progenies were also used to evaluate five predictors of progeny performance, namely the mean seedling performance, the mid-parent value and the means of the selfed progenies, of the diploid progenies and of the test-cross progenies. For almost all characters, the general combining ability effects were predominant, although the specific combining ability effects present were greater at late than at early harvests. The seedling performance for tuber yield, number of tubers and average tuber weight did not show any relevant relationship to the field performance. The midparent value provided, in general, satisfactory predictions of the mean progeny performance obtained in the diallel, except for ware tuber yield. The selfed and the diploid progenies did not improve the prediction of progeny means compared to the mid-parent value. The predictions based on the test-crosses surpassed those of the mid-parent value, particularly for tuber yield at ware potato harvest. Methods to identify superior parents are discussed.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N9e7c5ffac5aa4b4f855ee3e917ff8743
24 Nc5caafc2254545068cfe843fbcb99081
25 sg:journal.1135804
26 schema:name Identification of superior parents in a potato breeding programme
27 schema:pagination 264-272
28 schema:productId N0ac5bc5f0dc742319d4bf7ea83ab0a21
29 N153ef33e89294b188cbeefa7780264de
30 N195f7e8aaf094acba5a736e2555b4b69
31 N291a8de12ff24d46ab37374262939ef7
32 N9d383af0f7a04ab8b18180b7b9035afc
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042689280
34 https://doi.org/10.1007/bf02190611
35 schema:sdDatePublished 2019-04-11T12:10
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher Nf2db91a018c5418d82fbba0843cca9e3
38 schema:url http://link.springer.com/10.1007/BF02190611
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N0ac5bc5f0dc742319d4bf7ea83ab0a21 schema:name nlm_unique_id
43 schema:value 0145600
44 rdf:type schema:PropertyValue
45 N0f83677319824d4688f8ef5cb79ddad2 rdf:first sg:person.01114734166.35
46 rdf:rest rdf:nil
47 N153ef33e89294b188cbeefa7780264de schema:name readcube_id
48 schema:value cb589eb3f92d0e923b0d2c803e496daea86ef8bf07086f0e69505807fbae1e07
49 rdf:type schema:PropertyValue
50 N195f7e8aaf094acba5a736e2555b4b69 schema:name dimensions_id
51 schema:value pub.1042689280
52 rdf:type schema:PropertyValue
53 N27b0d4ff222f4516b319b5227b66851d schema:name Center for Plant Breeding Research (CPO), PO Box 16, NL-6700, AA Wageningen, The Netherlands
54 rdf:type schema:Organization
55 N291a8de12ff24d46ab37374262939ef7 schema:name doi
56 schema:value 10.1007/bf02190611
57 rdf:type schema:PropertyValue
58 N3f2743ac2faa4dbfa505a5051a03717a rdf:first sg:person.015405732625.79
59 rdf:rest N97b63ba12210417f854b712cb42e355b
60 N97b63ba12210417f854b712cb42e355b rdf:first sg:person.0732372366.01
61 rdf:rest N0f83677319824d4688f8ef5cb79ddad2
62 N9d383af0f7a04ab8b18180b7b9035afc schema:name pubmed_id
63 schema:value 24213169
64 rdf:type schema:PropertyValue
65 N9e7c5ffac5aa4b4f855ee3e917ff8743 schema:issueNumber 3
66 rdf:type schema:PublicationIssue
67 Na60cedf3448d443c85cadf43ed60df3b schema:name Center for Plant Breeding Research (CPO), PO Box 16, NL-6700, AA Wageningen, The Netherlands
68 rdf:type schema:Organization
69 Nc5caafc2254545068cfe843fbcb99081 schema:volumeNumber 82
70 rdf:type schema:PublicationVolume
71 Ndefc15245daa4bc19d472b3e591d34ad schema:name Center for Plant Breeding Research (CPO), PO Box 16, NL-6700, AA Wageningen, The Netherlands
72 rdf:type schema:Organization
73 Nf2db91a018c5418d82fbba0843cca9e3 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
76 schema:name Psychology and Cognitive Sciences
77 rdf:type schema:DefinedTerm
78 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
79 schema:name Psychology
80 rdf:type schema:DefinedTerm
81 sg:journal.1135804 schema:issn 0040-5752
82 1432-2242
83 schema:name Theoretical and Applied Genetics
84 rdf:type schema:Periodical
85 sg:person.01114734166.35 schema:affiliation Na60cedf3448d443c85cadf43ed60df3b
86 schema:familyName Louwes
87 schema:givenName K. M.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114734166.35
89 rdf:type schema:Person
90 sg:person.015405732625.79 schema:affiliation N27b0d4ff222f4516b319b5227b66851d
91 schema:familyName Neele
92 schema:givenName A. E. F.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015405732625.79
94 rdf:type schema:Person
95 sg:person.0732372366.01 schema:affiliation Ndefc15245daa4bc19d472b3e591d34ad
96 schema:familyName Nab
97 schema:givenName H. J.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732372366.01
99 rdf:type schema:Person
100 sg:pub.10.1007/bf00015117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086020848
101 https://doi.org/10.1007/bf00015117
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/bf00021679 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044242944
104 https://doi.org/10.1007/bf00021679
105 rdf:type schema:CreativeWork
106 sg:pub.10.1007/bf00022425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020023100
107 https://doi.org/10.1007/bf00022425
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/bf00022632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044248285
110 https://doi.org/10.1007/bf00022632
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/bf00037195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024004579
113 https://doi.org/10.1007/bf00037195
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/bf00252319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005729507
116 https://doi.org/10.1007/bf00252319
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/bf00266194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026992343
119 https://doi.org/10.1007/bf00266194
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/bf02357841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021446201
122 https://doi.org/10.1007/bf02357841
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/bf02855564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021643839
125 https://doi.org/10.1007/bf02855564
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1071/bi9560463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041396014
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1111/j.1744-7348.1977.tb01841.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044106168
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1111/j.1744-7348.1988.tb02068.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011193881
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1139/g76-056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045025157
134 rdf:type schema:CreativeWork
 




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


...