Mating system and pollen dispersal in Dipteryx alata Vogel (Leguminosae): comparing in situ and ex situ conditions View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Rejane Araújo Guimarães, Kássia Marques Corrêa Miranda, Lázaro José Chaves, Ronaldo Veloso Naves, Mariana Pires de Campos Telles, Thannya Nascimento Soares

ABSTRACT

Dipteryx alata is a Neotropical tree widely distributed throughout the Brazilian Cerrado biome and is popularly known as baru. In this study, we evaluated the mating system of D. alata and compared pollen dispersal patterns between the in situ and ex situ conditions. For this, we used 515 genotypes of adults, juveniles, and progeny from a natural population (in situ) in Orizona-GO, Brazil. In addition, we used 488 genotypes of adults and progeny from a germplasm collection (ex situ) located at the Federal University of Goiás. Both locations are situated in central Brazil. The genetic diversity, cross-pollination rates, and pollen dispersal distance under both conditions were estimated. Genetic diversity and polymorphism differed between the in situ and ex situ conditions. The average number of alleles found in situ (5.2) and ex situ (6.2) showed that the germplasm collection stores greater genetic diversity than the in situ condition. Cross-pollination detected among mother trees under both the in situ and ex situ conditions were high (tm = 0.815 and tm = 0.934, respectively), indicating that the species has a mixed reproductive system that was predominantly allogamous. The difference between tm and ts indicated that the in situ condition shows greater biparental inbreeding. Our results showed that, across generations, the ex situ condition preserved a larger number of alleles, confirming that the D. alata germplasm collection plays a role in conserving genetic diversity. The presence of self-fertilization suggests self-compatibility. Paternity correlation and the dispersal distance of the pollen donors were higher in the in situ condition, a maximum distance of 2.9 km of pollen flow. This can be explained by the number of pollinators and tree spatial distribution. More... »

PAGES

28

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11295-019-1337-6

DOI

http://dx.doi.org/10.1007/s11295-019-1337-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112985887


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": "Universidade Federal de Goi\u00e1s", 
          "id": "https://www.grid.ac/institutes/grid.411195.9", 
          "name": [
            "Laborat\u00f3rio de Gen\u00e9tica & Biodiversidade, Instituto de Ci\u00eancias Biol\u00f3gicas, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, Goi\u00e1s, Brazil", 
            "Programa de P\u00f3s-gradua\u00e7\u00e3o em Gen\u00e9tica e Melhoramento de Plantas, Escola de Agronomia \u2013 UFG, Goi\u00e2nia, Goi\u00e1s, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guimar\u00e3es", 
        "givenName": "Rejane Ara\u00fajo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Goi\u00e1s", 
          "id": "https://www.grid.ac/institutes/grid.411195.9", 
          "name": [
            "Laborat\u00f3rio de Gen\u00e9tica & Biodiversidade, Instituto de Ci\u00eancias Biol\u00f3gicas, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, Goi\u00e1s, Brazil", 
            "Programa de P\u00f3s-gradua\u00e7\u00e3o em Gen\u00e9tica e Melhoramento de Plantas, Escola de Agronomia \u2013 UFG, Goi\u00e2nia, Goi\u00e1s, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Corr\u00eaa Miranda", 
        "givenName": "K\u00e1ssia Marques", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Goi\u00e1s", 
          "id": "https://www.grid.ac/institutes/grid.411195.9", 
          "name": [
            "Escola de Agronomia, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, Goi\u00e1s, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chaves", 
        "givenName": "L\u00e1zaro Jos\u00e9", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Goi\u00e1s", 
          "id": "https://www.grid.ac/institutes/grid.411195.9", 
          "name": [
            "Escola de Agronomia, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, Goi\u00e1s, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naves", 
        "givenName": "Ronaldo Veloso", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pontif\u00edcia Universidade Cat\u00f3lica de Goi\u00e1s", 
          "id": "https://www.grid.ac/institutes/grid.412263.0", 
          "name": [
            "Laborat\u00f3rio de Gen\u00e9tica & Biodiversidade, Instituto de Ci\u00eancias Biol\u00f3gicas, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, Goi\u00e1s, Brazil", 
            "Escola de Ci\u00eancias Agr\u00e1rias e Biol\u00f3gicas, Pontif\u00edcia Universidade Cat\u00f3lica de Goi\u00e1s, Goi\u00e2nia, Goi\u00e1s, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Campos Telles", 
        "givenName": "Mariana Pires", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Goi\u00e1s", 
          "id": "https://www.grid.ac/institutes/grid.411195.9", 
          "name": [
            "Laborat\u00f3rio de Gen\u00e9tica & Biodiversidade, Instituto de Ci\u00eancias Biol\u00f3gicas, Universidade Federal de Goi\u00e1s, Goi\u00e2nia, Goi\u00e1s, Brazil", 
            "Programa de P\u00f3s-gradua\u00e7\u00e3o em Gen\u00e9tica e Melhoramento de Plantas, Escola de Agronomia \u2013 UFG, Goi\u00e2nia, Goi\u00e1s, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Soares", 
        "givenName": "Thannya Nascimento", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.biocon.2015.04.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004231626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1744-7429.2010.00679.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005036917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2010.134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006350438", 
          "https://doi.org/10.1038/hdy.2010.134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10592-011-0292-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006565665", 
          "https://doi.org/10.1007/s10592-011-0292-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1753-6561-5-s7-p18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010409527", 
          "https://doi.org/10.1186/1753-6561-5-s7-p18"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-010-0271-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011955784", 
          "https://doi.org/10.1007/s11295-010-0271-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.lwt.2014.09.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012465085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0100-204x2008000900008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013506849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12686-011-9548-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014160842", 
          "https://doi.org/10.1007/s12686-011-9548-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.2013.23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014339701", 
          "https://doi.org/10.1038/hdy.2013.23"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/ajb.1100377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014456917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:vege.0000048090.07022.02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017422023", 
          "https://doi.org/10.1023/b:vege.0000048090.07022.02"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1013359015812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020196103", 
          "https://doi.org/10.1023/a:1013359015812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2004.00684.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021656571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-016-1031-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023353796", 
          "https://doi.org/10.1007/s11295-016-1031-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-016-1031-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023353796", 
          "https://doi.org/10.1007/s11295-016-1031-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jhered/esn088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025473602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-981-10-0060-7_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025906190", 
          "https://doi.org/10.1007/978-981-10-0060-7_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bse.2015.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028704020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1415-47572010005000007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031342266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2007.01758.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034724710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00606-014-1155-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035155051", 
          "https://doi.org/10.1007/s00606-014-1155-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/0100-67622015000200013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036010738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tree.2014.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036733275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/ajb.1400024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037269621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10592-011-0311-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037929635", 
          "https://doi.org/10.1007/s10592-011-0311-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10709-013-9750-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039081857", 
          "https://doi.org/10.1007/s10709-013-9750-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/1984-70332014v14n4a37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041643376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/apps.1400016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044269251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045105386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045105386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10592-014-0600-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045897891", 
          "https://doi.org/10.1007/s10592-014-0600-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10709-016-9884-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049265259", 
          "https://doi.org/10.1007/s10709-016-9884-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2007.03089.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051034705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12686-011-9447-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051821907", 
          "https://doi.org/10.1007/s12686-011-9447-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052080046", 
          "https://doi.org/10.1038/sj.hdy.6800029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.hdy.6800029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052080046", 
          "https://doi.org/10.1038/sj.hdy.6800029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.3576198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062620058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2006.03.0169gas", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069029921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074647594", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11056-017-9574-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083890377", 
          "https://doi.org/10.1007/s11056-017-9574-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11056-017-9574-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083890377", 
          "https://doi.org/10.1007/s11056-017-9574-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bse.2017.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084809237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4238/gmr16029639", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085288350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15287/afr.2017.842", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092884223"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "Dipteryx alata is a Neotropical tree widely distributed throughout the Brazilian Cerrado biome and is popularly known as baru. In this study, we evaluated the mating system of D. alata and compared pollen dispersal patterns between the in situ and ex situ conditions. For this, we used 515 genotypes of adults, juveniles, and progeny from a natural population (in situ) in Orizona-GO, Brazil. In addition, we used 488 genotypes of adults and progeny from a germplasm collection (ex situ) located at the Federal University of Goi\u00e1s. Both locations are situated in central Brazil. The genetic diversity, cross-pollination rates, and pollen dispersal distance under both conditions were estimated. Genetic diversity and polymorphism differed between the in situ and ex situ conditions. The average number of alleles found in situ (5.2) and ex situ (6.2) showed that the germplasm collection stores greater genetic diversity than the in situ condition. Cross-pollination detected among mother trees under both the in situ and ex situ conditions were high (tm = 0.815 and tm = 0.934, respectively), indicating that the species has a mixed reproductive system that was predominantly allogamous. The difference between tm and ts indicated that the in situ condition shows greater biparental inbreeding. Our results showed that, across generations, the ex situ condition preserved a larger number of alleles, confirming that the D. alata germplasm collection plays a role in conserving genetic diversity. The presence of self-fertilization suggests self-compatibility. Paternity correlation and the dispersal distance of the pollen donors were higher in the in situ condition, a maximum distance of 2.9 km of pollen flow. This can be explained by the number of pollinators and tree spatial distribution.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11295-019-1337-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1036007", 
        "issn": [
          "1614-2942", 
          "1614-2950"
        ], 
        "name": "Tree Genetics & Genomes", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Mating system and pollen dispersal in Dipteryx alata Vogel (Leguminosae): comparing in situ and ex situ conditions", 
    "pagination": "28", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112985887"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11295-019-1337-6"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "65b9c186dda78a6bf9749821d8837cdfa79cfb9f93b6c1e55b0bce154bff19a8"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11295-019-1337-6", 
      "https://app.dimensions.ai/details/publication/pub.1112985887"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:21", 
    "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/v90/0000000377_0000000377/records_106803_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11295-019-1337-6"
  }
]
 

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/s11295-019-1337-6'

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/s11295-019-1337-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11295-019-1337-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11295-019-1337-6'


 

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

236 TRIPLES      21 PREDICATES      68 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11295-019-1337-6 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N511afef5053b4f2a8f04276484dc6182
4 schema:citation sg:pub.10.1007/978-981-10-0060-7_8
5 sg:pub.10.1007/s00606-014-1155-0
6 sg:pub.10.1007/s10592-011-0292-z
7 sg:pub.10.1007/s10592-011-0311-0
8 sg:pub.10.1007/s10592-014-0600-5
9 sg:pub.10.1007/s10709-013-9750-5
10 sg:pub.10.1007/s10709-016-9884-3
11 sg:pub.10.1007/s11056-017-9574-8
12 sg:pub.10.1007/s11295-010-0271-4
13 sg:pub.10.1007/s11295-016-1031-x
14 sg:pub.10.1007/s12686-011-9447-y
15 sg:pub.10.1007/s12686-011-9548-7
16 sg:pub.10.1023/a:1013359015812
17 sg:pub.10.1023/b:vege.0000048090.07022.02
18 sg:pub.10.1038/hdy.2010.134
19 sg:pub.10.1038/hdy.2013.23
20 sg:pub.10.1038/sj.hdy.6800029
21 sg:pub.10.1186/1753-6561-5-s7-p18
22 https://app.dimensions.ai/details/publication/pub.1074647594
23 https://doi.org/10.1016/j.biocon.2015.04.023
24 https://doi.org/10.1016/j.bse.2015.02.004
25 https://doi.org/10.1016/j.bse.2017.03.001
26 https://doi.org/10.1016/j.lwt.2014.09.035
27 https://doi.org/10.1016/j.tree.2014.01.002
28 https://doi.org/10.1093/jhered/esn088
29 https://doi.org/10.1111/j.1365-294x.2005.02553.x
30 https://doi.org/10.1111/j.1365-294x.2007.03089.x
31 https://doi.org/10.1111/j.1471-8286.2004.00684.x
32 https://doi.org/10.1111/j.1471-8286.2007.01758.x
33 https://doi.org/10.1111/j.1744-7429.2010.00679.x
34 https://doi.org/10.1126/science.3576198
35 https://doi.org/10.15287/afr.2017.842
36 https://doi.org/10.1590/0100-67622015000200013
37 https://doi.org/10.1590/1984-70332014v14n4a37
38 https://doi.org/10.1590/s0100-204x2008000900008
39 https://doi.org/10.1590/s1415-47572010005000007
40 https://doi.org/10.2135/cropsci2006.03.0169gas
41 https://doi.org/10.3732/ajb.1100377
42 https://doi.org/10.3732/ajb.1400024
43 https://doi.org/10.3732/apps.1400016
44 https://doi.org/10.4238/gmr16029639
45 schema:datePublished 2019-04
46 schema:datePublishedReg 2019-04-01
47 schema:description Dipteryx alata is a Neotropical tree widely distributed throughout the Brazilian Cerrado biome and is popularly known as baru. In this study, we evaluated the mating system of D. alata and compared pollen dispersal patterns between the in situ and ex situ conditions. For this, we used 515 genotypes of adults, juveniles, and progeny from a natural population (in situ) in Orizona-GO, Brazil. In addition, we used 488 genotypes of adults and progeny from a germplasm collection (ex situ) located at the Federal University of Goiás. Both locations are situated in central Brazil. The genetic diversity, cross-pollination rates, and pollen dispersal distance under both conditions were estimated. Genetic diversity and polymorphism differed between the in situ and ex situ conditions. The average number of alleles found in situ (5.2) and ex situ (6.2) showed that the germplasm collection stores greater genetic diversity than the in situ condition. Cross-pollination detected among mother trees under both the in situ and ex situ conditions were high (tm = 0.815 and tm = 0.934, respectively), indicating that the species has a mixed reproductive system that was predominantly allogamous. The difference between tm and ts indicated that the in situ condition shows greater biparental inbreeding. Our results showed that, across generations, the ex situ condition preserved a larger number of alleles, confirming that the D. alata germplasm collection plays a role in conserving genetic diversity. The presence of self-fertilization suggests self-compatibility. Paternity correlation and the dispersal distance of the pollen donors were higher in the in situ condition, a maximum distance of 2.9 km of pollen flow. This can be explained by the number of pollinators and tree spatial distribution.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree false
51 schema:isPartOf N2c36bb55413c48a1a6955fd1e37d911d
52 N5473efd7c27342de9bd8737ce11d2940
53 sg:journal.1036007
54 schema:name Mating system and pollen dispersal in Dipteryx alata Vogel (Leguminosae): comparing in situ and ex situ conditions
55 schema:pagination 28
56 schema:productId N1a739f3282544acda00a79153e69882e
57 Nbd6e76193c694ffbad99b739e0a5f5c8
58 Ne993ca080f544f228b633030c22f2cab
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112985887
60 https://doi.org/10.1007/s11295-019-1337-6
61 schema:sdDatePublished 2019-04-16T06:21
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher Nebc88e61a5084e988540740ba275f96c
64 schema:url https://link.springer.com/10.1007%2Fs11295-019-1337-6
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N17d9d7570c46413c88eca9b07913ec69 schema:affiliation https://www.grid.ac/institutes/grid.411195.9
69 schema:familyName Guimarães
70 schema:givenName Rejane Araújo
71 rdf:type schema:Person
72 N1a739f3282544acda00a79153e69882e schema:name doi
73 schema:value 10.1007/s11295-019-1337-6
74 rdf:type schema:PropertyValue
75 N200ae212fb6446418626ee539aa06cce schema:affiliation https://www.grid.ac/institutes/grid.411195.9
76 schema:familyName Naves
77 schema:givenName Ronaldo Veloso
78 rdf:type schema:Person
79 N20efcf675a6a4e18b9f458b07220a6d2 rdf:first Nbae73ec78310470a8b6b19572b50ef40
80 rdf:rest Nde57bb434f8341e78bc91937fdb77966
81 N2bdeb7eca655441ab2ebcc65a8821c98 schema:affiliation https://www.grid.ac/institutes/grid.411195.9
82 schema:familyName Soares
83 schema:givenName Thannya Nascimento
84 rdf:type schema:Person
85 N2c36bb55413c48a1a6955fd1e37d911d schema:issueNumber 2
86 rdf:type schema:PublicationIssue
87 N3710013bc001479f8919d4130b89cafc schema:affiliation https://www.grid.ac/institutes/grid.411195.9
88 schema:familyName Corrêa Miranda
89 schema:givenName Kássia Marques
90 rdf:type schema:Person
91 N511afef5053b4f2a8f04276484dc6182 rdf:first N17d9d7570c46413c88eca9b07913ec69
92 rdf:rest Nb9bb8359b9fb4ca4a12b40432720f367
93 N5473efd7c27342de9bd8737ce11d2940 schema:volumeNumber 15
94 rdf:type schema:PublicationVolume
95 N814e9808845d48f8b7f862733a53fd84 rdf:first N200ae212fb6446418626ee539aa06cce
96 rdf:rest N20efcf675a6a4e18b9f458b07220a6d2
97 N9a8991c6051642b090ef1b9fe4e82744 rdf:first Nb4c984a9a39641849ebe66140066b226
98 rdf:rest N814e9808845d48f8b7f862733a53fd84
99 Nb4c984a9a39641849ebe66140066b226 schema:affiliation https://www.grid.ac/institutes/grid.411195.9
100 schema:familyName Chaves
101 schema:givenName Lázaro José
102 rdf:type schema:Person
103 Nb9bb8359b9fb4ca4a12b40432720f367 rdf:first N3710013bc001479f8919d4130b89cafc
104 rdf:rest N9a8991c6051642b090ef1b9fe4e82744
105 Nbae73ec78310470a8b6b19572b50ef40 schema:affiliation https://www.grid.ac/institutes/grid.412263.0
106 schema:familyName de Campos Telles
107 schema:givenName Mariana Pires
108 rdf:type schema:Person
109 Nbd6e76193c694ffbad99b739e0a5f5c8 schema:name dimensions_id
110 schema:value pub.1112985887
111 rdf:type schema:PropertyValue
112 Nde57bb434f8341e78bc91937fdb77966 rdf:first N2bdeb7eca655441ab2ebcc65a8821c98
113 rdf:rest rdf:nil
114 Ne993ca080f544f228b633030c22f2cab schema:name readcube_id
115 schema:value 65b9c186dda78a6bf9749821d8837cdfa79cfb9f93b6c1e55b0bce154bff19a8
116 rdf:type schema:PropertyValue
117 Nebc88e61a5084e988540740ba275f96c schema:name Springer Nature - SN SciGraph project
118 rdf:type schema:Organization
119 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
120 schema:name Biological Sciences
121 rdf:type schema:DefinedTerm
122 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
123 schema:name Genetics
124 rdf:type schema:DefinedTerm
125 sg:journal.1036007 schema:issn 1614-2942
126 1614-2950
127 schema:name Tree Genetics & Genomes
128 rdf:type schema:Periodical
129 sg:pub.10.1007/978-981-10-0060-7_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025906190
130 https://doi.org/10.1007/978-981-10-0060-7_8
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s00606-014-1155-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035155051
133 https://doi.org/10.1007/s00606-014-1155-0
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s10592-011-0292-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1006565665
136 https://doi.org/10.1007/s10592-011-0292-z
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s10592-011-0311-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037929635
139 https://doi.org/10.1007/s10592-011-0311-0
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s10592-014-0600-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045897891
142 https://doi.org/10.1007/s10592-014-0600-5
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s10709-013-9750-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039081857
145 https://doi.org/10.1007/s10709-013-9750-5
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/s10709-016-9884-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049265259
148 https://doi.org/10.1007/s10709-016-9884-3
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s11056-017-9574-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083890377
151 https://doi.org/10.1007/s11056-017-9574-8
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s11295-010-0271-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011955784
154 https://doi.org/10.1007/s11295-010-0271-4
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s11295-016-1031-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023353796
157 https://doi.org/10.1007/s11295-016-1031-x
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/s12686-011-9447-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1051821907
160 https://doi.org/10.1007/s12686-011-9447-y
161 rdf:type schema:CreativeWork
162 sg:pub.10.1007/s12686-011-9548-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014160842
163 https://doi.org/10.1007/s12686-011-9548-7
164 rdf:type schema:CreativeWork
165 sg:pub.10.1023/a:1013359015812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020196103
166 https://doi.org/10.1023/a:1013359015812
167 rdf:type schema:CreativeWork
168 sg:pub.10.1023/b:vege.0000048090.07022.02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017422023
169 https://doi.org/10.1023/b:vege.0000048090.07022.02
170 rdf:type schema:CreativeWork
171 sg:pub.10.1038/hdy.2010.134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006350438
172 https://doi.org/10.1038/hdy.2010.134
173 rdf:type schema:CreativeWork
174 sg:pub.10.1038/hdy.2013.23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014339701
175 https://doi.org/10.1038/hdy.2013.23
176 rdf:type schema:CreativeWork
177 sg:pub.10.1038/sj.hdy.6800029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052080046
178 https://doi.org/10.1038/sj.hdy.6800029
179 rdf:type schema:CreativeWork
180 sg:pub.10.1186/1753-6561-5-s7-p18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010409527
181 https://doi.org/10.1186/1753-6561-5-s7-p18
182 rdf:type schema:CreativeWork
183 https://app.dimensions.ai/details/publication/pub.1074647594 schema:CreativeWork
184 https://doi.org/10.1016/j.biocon.2015.04.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004231626
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.bse.2015.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028704020
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.bse.2017.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084809237
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.lwt.2014.09.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012465085
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.tree.2014.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036733275
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1093/jhered/esn088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025473602
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1111/j.1365-294x.2005.02553.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045105386
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1111/j.1365-294x.2007.03089.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051034705
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1111/j.1471-8286.2004.00684.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021656571
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1111/j.1471-8286.2007.01758.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034724710
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1111/j.1744-7429.2010.00679.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005036917
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1126/science.3576198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062620058
207 rdf:type schema:CreativeWork
208 https://doi.org/10.15287/afr.2017.842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092884223
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1590/0100-67622015000200013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036010738
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1590/1984-70332014v14n4a37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041643376
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1590/s0100-204x2008000900008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013506849
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1590/s1415-47572010005000007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031342266
217 rdf:type schema:CreativeWork
218 https://doi.org/10.2135/cropsci2006.03.0169gas schema:sameAs https://app.dimensions.ai/details/publication/pub.1069029921
219 rdf:type schema:CreativeWork
220 https://doi.org/10.3732/ajb.1100377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014456917
221 rdf:type schema:CreativeWork
222 https://doi.org/10.3732/ajb.1400024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037269621
223 rdf:type schema:CreativeWork
224 https://doi.org/10.3732/apps.1400016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044269251
225 rdf:type schema:CreativeWork
226 https://doi.org/10.4238/gmr16029639 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085288350
227 rdf:type schema:CreativeWork
228 https://www.grid.ac/institutes/grid.411195.9 schema:alternateName Universidade Federal de Goiás
229 schema:name Escola de Agronomia, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
230 Laboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
231 Programa de Pós-graduação em Genética e Melhoramento de Plantas, Escola de Agronomia – UFG, Goiânia, Goiás, Brazil
232 rdf:type schema:Organization
233 https://www.grid.ac/institutes/grid.412263.0 schema:alternateName Pontifícia Universidade Católica de Goiás
234 schema:name Escola de Ciências Agrárias e Biológicas, Pontifícia Universidade Católica de Goiás, Goiânia, Goiás, Brazil
235 Laboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
236 rdf:type schema:Organization
 




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


...