Characterization of trees, fruits and genetic diversity in natural populations of mangaba

Detalhes bibliográficos
Autor(a) principal: Silva,Ana Veruska Cruz da
Data de Publicação: 2017
Outros Autores: Amorim,Julie Anne Espíndola, Vitória,Marina Ferreira da, Ledo,Ana da Silva, Rabbani,Allivia Rouse Carregosa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000300255
Resumo: ABSTRACT The state of Sergipe is the largest mangaba producer, which is a fruit native to Brazil, and has cultural, social and economic importance in its area of occurrence. It is an endangered species due to human actions, and despite its economic potential, there are still no commercial plantations. The study was carried out in order to characterize trees, fruits and the genetic diversity of natural populations of mangaba in Sergipe, Brazil. Fruits from Abaís Beach/Estância (AB) presented, on average, twice the vitamin C content (414.81 mg of vit. C/100g), when compared with the others. The use of ISSR primers was efficient in estimating the genetic similarity of populations. The primers clustered the populations of mangaba according to their origin, which indicates the genetic diversity of mangaba and their isolation. The results can be used to guide the selection of individuals in situ and ex situ conservation actions of these genetic resources.
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spelling Characterization of trees, fruits and genetic diversity in natural populations of mangabaHancornia speciosa Gomespostharvestmolecular markersvariabilityABSTRACT The state of Sergipe is the largest mangaba producer, which is a fruit native to Brazil, and has cultural, social and economic importance in its area of occurrence. It is an endangered species due to human actions, and despite its economic potential, there are still no commercial plantations. The study was carried out in order to characterize trees, fruits and the genetic diversity of natural populations of mangaba in Sergipe, Brazil. Fruits from Abaís Beach/Estância (AB) presented, on average, twice the vitamin C content (414.81 mg of vit. C/100g), when compared with the others. The use of ISSR primers was efficient in estimating the genetic similarity of populations. The primers clustered the populations of mangaba according to their origin, which indicates the genetic diversity of mangaba and their isolation. The results can be used to guide the selection of individuals in situ and ex situ conservation actions of these genetic resources.Editora da UFLA2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000300255Ciência e Agrotecnologia v.41 n.3 2017reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542017413048416info:eu-repo/semantics/openAccessSilva,Ana Veruska Cruz daAmorim,Julie Anne EspíndolaVitória,Marina Ferreira daLedo,Ana da SilvaRabbani,Allivia Rouse Carregosaeng2017-07-13T00:00:00Zoai:scielo:S1413-70542017000300255Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:31.419224Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Characterization of trees, fruits and genetic diversity in natural populations of mangaba
title Characterization of trees, fruits and genetic diversity in natural populations of mangaba
spellingShingle Characterization of trees, fruits and genetic diversity in natural populations of mangaba
Silva,Ana Veruska Cruz da
Hancornia speciosa Gomes
postharvest
molecular markers
variability
title_short Characterization of trees, fruits and genetic diversity in natural populations of mangaba
title_full Characterization of trees, fruits and genetic diversity in natural populations of mangaba
title_fullStr Characterization of trees, fruits and genetic diversity in natural populations of mangaba
title_full_unstemmed Characterization of trees, fruits and genetic diversity in natural populations of mangaba
title_sort Characterization of trees, fruits and genetic diversity in natural populations of mangaba
author Silva,Ana Veruska Cruz da
author_facet Silva,Ana Veruska Cruz da
Amorim,Julie Anne Espíndola
Vitória,Marina Ferreira da
Ledo,Ana da Silva
Rabbani,Allivia Rouse Carregosa
author_role author
author2 Amorim,Julie Anne Espíndola
Vitória,Marina Ferreira da
Ledo,Ana da Silva
Rabbani,Allivia Rouse Carregosa
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva,Ana Veruska Cruz da
Amorim,Julie Anne Espíndola
Vitória,Marina Ferreira da
Ledo,Ana da Silva
Rabbani,Allivia Rouse Carregosa
dc.subject.por.fl_str_mv Hancornia speciosa Gomes
postharvest
molecular markers
variability
topic Hancornia speciosa Gomes
postharvest
molecular markers
variability
description ABSTRACT The state of Sergipe is the largest mangaba producer, which is a fruit native to Brazil, and has cultural, social and economic importance in its area of occurrence. It is an endangered species due to human actions, and despite its economic potential, there are still no commercial plantations. The study was carried out in order to characterize trees, fruits and the genetic diversity of natural populations of mangaba in Sergipe, Brazil. Fruits from Abaís Beach/Estância (AB) presented, on average, twice the vitamin C content (414.81 mg of vit. C/100g), when compared with the others. The use of ISSR primers was efficient in estimating the genetic similarity of populations. The primers clustered the populations of mangaba according to their origin, which indicates the genetic diversity of mangaba and their isolation. The results can be used to guide the selection of individuals in situ and ex situ conservation actions of these genetic resources.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000300255
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000300255
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542017413048416
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.41 n.3 2017
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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