Heritability of morphological characters used to distinguish European and Africanized honeybees View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1991-07

AUTHORS

B. Oldroyd, T. Rinderer, S. Buco

ABSTRACT

Identification of "Africanized" honeybees (Apis mellifera) is usually achieved by measuring an array of morphological characters. Discriminant functions exist that allow determination of subspecies similarity on the basis of these measurements. Here we compute the heritabilities of the standard character set for ten eco-types (Table 1) of bees. Heritability is extremely high for body size characters and there is greater genetic variance among ecotypes than within. Heritability is lower, but still very high, for the vein angle characters and hamuli number (Table 3). Heritability was also computed for the same character set for a group of 20 colonies in Venezuela (Table 4). Heritabilities declined by an average of 41% when specimens were reared in nonmaternal environments, but were still extremely high for the body size characters. These results support the continued use of morphological characters as a tool for identifying Africanized bees. They also suggest that multivariate analysis of morphology is useful in evaluating changes in the honeybee genome, and is therefore an effective means of studying the population genetics of honeybees. More... »

PAGES

499-504

Journal

TITLE

Theoretical and Applied Genetics

ISSUE

4

VOLUME

82

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00588605

DOI

http://dx.doi.org/10.1007/bf00588605

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036664647

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24213268


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "USDA-ARS Honey-Bee Breeding, Genetics and Physiology Research Laboratory, 1157 Ben Hur Road, 70820, Baton Rouge, LA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oldroyd", 
        "givenName": "B.", 
        "id": "sg:person.01303620665.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303620665.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "USDA-ARS Honey-Bee Breeding, Genetics and Physiology Research Laboratory, 1157 Ben Hur Road, 70820, Baton Rouge, LA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rinderer", 
        "givenName": "T.", 
        "id": "sg:person.01111724106.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111724106.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Statistical Resources, Inc., 7332 Highland Road, 70808, Baton Rouge, LA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Buco", 
        "givenName": "S.", 
        "id": "sg:person.07760753155.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07760753155.31"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1071/bi9830323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001672970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-3472(88)80181-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018343660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1051/apido:19780408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023109841", 
          "https://doi.org/10.1051/apido:19780408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.en.23.010178.001213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024450811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/202849a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028158132", 
          "https://doi.org/10.1038/202849a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1051/apido:19870208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034480793", 
          "https://doi.org/10.1051/apido:19870208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1051/apido:19850105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044556266", 
          "https://doi.org/10.1051/apido:19850105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aesa/54.6.878", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059357855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aesa/83.3.346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059363772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/besa/32.3.150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059411676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2411899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069920439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/bi9870057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110132679"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1991-07", 
    "datePublishedReg": "1991-07-01", 
    "description": "Identification of \"Africanized\" honeybees (Apis mellifera) is usually achieved by measuring an array of morphological characters. Discriminant functions exist that allow determination of subspecies similarity on the basis of these measurements. Here we compute the heritabilities of the standard character set for ten eco-types (Table 1) of bees. Heritability is extremely high for body size characters and there is greater genetic variance among ecotypes than within. Heritability is lower, but still very high, for the vein angle characters and hamuli number (Table 3). Heritability was also computed for the same character set for a group of 20 colonies in Venezuela (Table 4). Heritabilities declined by an average of 41% when specimens were reared in nonmaternal environments, but were still extremely high for the body size characters. These results support the continued use of morphological characters as a tool for identifying Africanized bees. They also suggest that multivariate analysis of morphology is useful in evaluating changes in the honeybee genome, and is therefore an effective means of studying the population genetics of honeybees. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00588605", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135804", 
        "issn": [
          "0040-5752", 
          "1432-2242"
        ], 
        "name": "Theoretical and Applied Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "82"
      }
    ], 
    "name": "Heritability of morphological characters used to distinguish European and Africanized honeybees", 
    "pagination": "499-504", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "aea84d4774fa80820a867e24a22f15fbaed482f6571ace46ed40e0817e6f7b55"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24213268"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0145600"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00588605"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036664647"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00588605", 
      "https://app.dimensions.ai/details/publication/pub.1036664647"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:52", 
    "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_130805_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00588605"
  }
]
 

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/bf00588605'

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/bf00588605'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00588605'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00588605'


 

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

125 TRIPLES      21 PREDICATES      41 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00588605 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N921f6153dd8d480992dcfe1bc8669f03
4 schema:citation sg:pub.10.1038/202849a0
5 sg:pub.10.1051/apido:19780408
6 sg:pub.10.1051/apido:19850105
7 sg:pub.10.1051/apido:19870208
8 https://doi.org/10.1016/s0003-3472(88)80181-7
9 https://doi.org/10.1071/bi9830323
10 https://doi.org/10.1071/bi9870057
11 https://doi.org/10.1093/aesa/54.6.878
12 https://doi.org/10.1093/aesa/83.3.346
13 https://doi.org/10.1093/besa/32.3.150
14 https://doi.org/10.1146/annurev.en.23.010178.001213
15 https://doi.org/10.2307/2411899
16 schema:datePublished 1991-07
17 schema:datePublishedReg 1991-07-01
18 schema:description Identification of "Africanized" honeybees (Apis mellifera) is usually achieved by measuring an array of morphological characters. Discriminant functions exist that allow determination of subspecies similarity on the basis of these measurements. Here we compute the heritabilities of the standard character set for ten eco-types (Table 1) of bees. Heritability is extremely high for body size characters and there is greater genetic variance among ecotypes than within. Heritability is lower, but still very high, for the vein angle characters and hamuli number (Table 3). Heritability was also computed for the same character set for a group of 20 colonies in Venezuela (Table 4). Heritabilities declined by an average of 41% when specimens were reared in nonmaternal environments, but were still extremely high for the body size characters. These results support the continued use of morphological characters as a tool for identifying Africanized bees. They also suggest that multivariate analysis of morphology is useful in evaluating changes in the honeybee genome, and is therefore an effective means of studying the population genetics of honeybees.
19 schema:genre research_article
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N52bc68b228474cf39a48c61df410a56a
23 Nabfcd279cd8d43068ed17b92b37cb522
24 sg:journal.1135804
25 schema:name Heritability of morphological characters used to distinguish European and Africanized honeybees
26 schema:pagination 499-504
27 schema:productId N04f49f2d50614f1481422c37e3afd097
28 N2d8fa1da24344cc2b118029ad49ac43b
29 N400ba9fc91dd49bf9e1baed3414cf28e
30 N8203377b0cc04f01894fb723e82a428e
31 Nc7a9ccd5434e46b290c7af7f3e310bd0
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036664647
33 https://doi.org/10.1007/bf00588605
34 schema:sdDatePublished 2019-04-11T13:52
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher Nc721ada34d314fa69065b5b0d92c1daf
37 schema:url http://link.springer.com/10.1007/BF00588605
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N04f49f2d50614f1481422c37e3afd097 schema:name readcube_id
42 schema:value aea84d4774fa80820a867e24a22f15fbaed482f6571ace46ed40e0817e6f7b55
43 rdf:type schema:PropertyValue
44 N2d8fa1da24344cc2b118029ad49ac43b schema:name dimensions_id
45 schema:value pub.1036664647
46 rdf:type schema:PropertyValue
47 N400ba9fc91dd49bf9e1baed3414cf28e schema:name doi
48 schema:value 10.1007/bf00588605
49 rdf:type schema:PropertyValue
50 N52bc68b228474cf39a48c61df410a56a schema:issueNumber 4
51 rdf:type schema:PublicationIssue
52 N8203377b0cc04f01894fb723e82a428e schema:name pubmed_id
53 schema:value 24213268
54 rdf:type schema:PropertyValue
55 N921f6153dd8d480992dcfe1bc8669f03 rdf:first sg:person.01303620665.10
56 rdf:rest Ne904dbcbcb4943e69a2d467edfc68a18
57 Nabfcd279cd8d43068ed17b92b37cb522 schema:volumeNumber 82
58 rdf:type schema:PublicationVolume
59 Nc5dc890321e548eebe961d3ecf6a2601 rdf:first sg:person.07760753155.31
60 rdf:rest rdf:nil
61 Nc721ada34d314fa69065b5b0d92c1daf schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 Nc7a9ccd5434e46b290c7af7f3e310bd0 schema:name nlm_unique_id
64 schema:value 0145600
65 rdf:type schema:PropertyValue
66 Ne904dbcbcb4943e69a2d467edfc68a18 rdf:first sg:person.01111724106.15
67 rdf:rest Nc5dc890321e548eebe961d3ecf6a2601
68 Nf706ebc8703b4ebbb2631ef42bdedca8 schema:name Statistical Resources, Inc., 7332 Highland Road, 70808, Baton Rouge, LA, USA
69 rdf:type schema:Organization
70 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
71 schema:name Biological Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
74 schema:name Genetics
75 rdf:type schema:DefinedTerm
76 sg:journal.1135804 schema:issn 0040-5752
77 1432-2242
78 schema:name Theoretical and Applied Genetics
79 rdf:type schema:Periodical
80 sg:person.01111724106.15 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
81 schema:familyName Rinderer
82 schema:givenName T.
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111724106.15
84 rdf:type schema:Person
85 sg:person.01303620665.10 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
86 schema:familyName Oldroyd
87 schema:givenName B.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303620665.10
89 rdf:type schema:Person
90 sg:person.07760753155.31 schema:affiliation Nf706ebc8703b4ebbb2631ef42bdedca8
91 schema:familyName Buco
92 schema:givenName S.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07760753155.31
94 rdf:type schema:Person
95 sg:pub.10.1038/202849a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028158132
96 https://doi.org/10.1038/202849a0
97 rdf:type schema:CreativeWork
98 sg:pub.10.1051/apido:19780408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023109841
99 https://doi.org/10.1051/apido:19780408
100 rdf:type schema:CreativeWork
101 sg:pub.10.1051/apido:19850105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044556266
102 https://doi.org/10.1051/apido:19850105
103 rdf:type schema:CreativeWork
104 sg:pub.10.1051/apido:19870208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034480793
105 https://doi.org/10.1051/apido:19870208
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/s0003-3472(88)80181-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018343660
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1071/bi9830323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001672970
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1071/bi9870057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110132679
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1093/aesa/54.6.878 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059357855
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1093/aesa/83.3.346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059363772
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1093/besa/32.3.150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059411676
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1146/annurev.en.23.010178.001213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024450811
120 rdf:type schema:CreativeWork
121 https://doi.org/10.2307/2411899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069920439
122 rdf:type schema:CreativeWork
123 https://www.grid.ac/institutes/grid.463419.d schema:alternateName Agricultural Research Service
124 schema:name USDA-ARS Honey-Bee Breeding, Genetics and Physiology Research Laboratory, 1157 Ben Hur Road, 70820, Baton Rouge, LA, USA
125 rdf:type schema:Organization
 




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


...