Characterization of trees, fruits and genetic diversity in natural populations of mangaba
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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Ciência e Agrotecnologia (Online) |
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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 |
_version_ |
1799874970367557632 |