Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Semina. Ciências Agrárias (Online) |
Texto Completo: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/32892 |
Resumo: | Jaboticaba is a fruit specie widely known in Brazil, with wide commercial acceptance, however it is observed genetic erosion by anthropic action in their habitat. Thus, the objective of this study was to estimate the genetic divergence between native jaboticaba trees, based on physico-chemical characters, as a complementary tool to identify superior genotypes for selection as future cultivar or male parent. To this end, 15 variables were analyzed, linked to physical-chemical and biochemical characteristics of fruits that were harvested in two productive cycles. As a pre-selection, it was adopted the choose of 20% better genotypes that showed the highest frequency of superiority in evaluated characteristics and through genetic divergence select potential parents with their respective subsidiaries hybridizations. The characteristic that has contributed most to the genetic divergence was the equatorial diameter, explaining much of the total variation, thus being the most important component. There were differences among the populations grouped by Tocher method with those obtained with the dendrogram the nearest neighbor clustering method in relation to jaboticabeira plant groups. There was genetic variability among the analyzed jabuticabeira trees, and thus, it is recommended performing hybridization between genotypes 79 with 119 and 96 with 148. |
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Semina. Ciências Agrárias (Online) |
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Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit qualityDivergência genética de jaboticabeiras nativas (Plinia cauliflora) com base na qualidade dos frutosMyrtaceaeMultivariate analysisGenetical enhancementGenetic diversity.MyrtaceaeAnálise multivariadaMelhoramento genéticoDiversidade genética.Jaboticaba is a fruit specie widely known in Brazil, with wide commercial acceptance, however it is observed genetic erosion by anthropic action in their habitat. Thus, the objective of this study was to estimate the genetic divergence between native jaboticaba trees, based on physico-chemical characters, as a complementary tool to identify superior genotypes for selection as future cultivar or male parent. To this end, 15 variables were analyzed, linked to physical-chemical and biochemical characteristics of fruits that were harvested in two productive cycles. As a pre-selection, it was adopted the choose of 20% better genotypes that showed the highest frequency of superiority in evaluated characteristics and through genetic divergence select potential parents with their respective subsidiaries hybridizations. The characteristic that has contributed most to the genetic divergence was the equatorial diameter, explaining much of the total variation, thus being the most important component. There were differences among the populations grouped by Tocher method with those obtained with the dendrogram the nearest neighbor clustering method in relation to jaboticabeira plant groups. There was genetic variability among the analyzed jabuticabeira trees, and thus, it is recommended performing hybridization between genotypes 79 with 119 and 96 with 148.A jaboticabeira é espécie frutífera nacionalmente conhecida e, com ampla aceitação comercial, contudo, o que se observa é ampla erosão genética ocorrida pela ação antrópica em seus habitats. Desta forma, o objetivo deste trabalho foi estimar a divergência genética entre plantas de jaboticabeiras nativas, com bases em características físicos e químicos dos frutos, como ferramenta complementar para identificar genótipos superiores para seleção como futuro cultivar ou genitor masculino. Para tal, foram analisadas 15 variáveis ligadas às características físico-químico e bioquímicas que os frutos colhidos apresentaram em dois ciclos produtivos. Como critério de pré-seleção foi adotada a escolha de 20% dos genótipos que apresentaram a maior frequência de superioridade nas características avaliadas e por meio da divergência genética selecionar possíveis genitores com suas respectivas hibridações controladas. A característica que mais contribuiu para a divergência genética foi o diâmetro equatorial explicando grande parte da variação total, sendo assim o componente de maior importância. Houve diferenças entre as populações agrupadas pelo método de Tocher com os obtidos com o dendograma pelo método de agrupamento do vizinho mais próximo em relação aos grupos de plantas de jaboticabeira. Existe variabilidade genética entre as plantas de jaboticabeira analisadas e, dessa forma recomenda-se a realização de hibridação entre os genótipos 79 e 119 e, 96 com 148.UEL2018-11-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapproachapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/3289210.5433/1679-0359.2018v39n6p2409Semina: Ciências Agrárias; Vol. 39 No. 6 (2018); 2409-2424Semina: Ciências Agrárias; v. 39 n. 6 (2018); 2409-24241679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/32892/24561Copyright (c) 2018 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessWagner Júnior, AméricoPaladini, Marcos VillyDanner, Moeses AndrigoRadaelli, Juliana CristinaMoura, Gisely Corrêa deKosera Neto, Carlos2022-10-20T16:01:51Zoai:ojs.pkp.sfu.ca:article/32892Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-20T16:01:51Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality Divergência genética de jaboticabeiras nativas (Plinia cauliflora) com base na qualidade dos frutos |
title |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality |
spellingShingle |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality Wagner Júnior, Américo Myrtaceae Multivariate analysis Genetical enhancement Genetic diversity. Myrtaceae Análise multivariada Melhoramento genético Diversidade genética. |
title_short |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality |
title_full |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality |
title_fullStr |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality |
title_full_unstemmed |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality |
title_sort |
Genetic divergence of native jaboticaba fruit tree (Plinia cauliflora) based on fruit quality |
author |
Wagner Júnior, Américo |
author_facet |
Wagner Júnior, Américo Paladini, Marcos Villy Danner, Moeses Andrigo Radaelli, Juliana Cristina Moura, Gisely Corrêa de Kosera Neto, Carlos |
author_role |
author |
author2 |
Paladini, Marcos Villy Danner, Moeses Andrigo Radaelli, Juliana Cristina Moura, Gisely Corrêa de Kosera Neto, Carlos |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Wagner Júnior, Américo Paladini, Marcos Villy Danner, Moeses Andrigo Radaelli, Juliana Cristina Moura, Gisely Corrêa de Kosera Neto, Carlos |
dc.subject.por.fl_str_mv |
Myrtaceae Multivariate analysis Genetical enhancement Genetic diversity. Myrtaceae Análise multivariada Melhoramento genético Diversidade genética. |
topic |
Myrtaceae Multivariate analysis Genetical enhancement Genetic diversity. Myrtaceae Análise multivariada Melhoramento genético Diversidade genética. |
description |
Jaboticaba is a fruit specie widely known in Brazil, with wide commercial acceptance, however it is observed genetic erosion by anthropic action in their habitat. Thus, the objective of this study was to estimate the genetic divergence between native jaboticaba trees, based on physico-chemical characters, as a complementary tool to identify superior genotypes for selection as future cultivar or male parent. To this end, 15 variables were analyzed, linked to physical-chemical and biochemical characteristics of fruits that were harvested in two productive cycles. As a pre-selection, it was adopted the choose of 20% better genotypes that showed the highest frequency of superiority in evaluated characteristics and through genetic divergence select potential parents with their respective subsidiaries hybridizations. The characteristic that has contributed most to the genetic divergence was the equatorial diameter, explaining much of the total variation, thus being the most important component. There were differences among the populations grouped by Tocher method with those obtained with the dendrogram the nearest neighbor clustering method in relation to jaboticabeira plant groups. There was genetic variability among the analyzed jabuticabeira trees, and thus, it is recommended performing hybridization between genotypes 79 with 119 and 96 with 148. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion approach |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/32892 10.5433/1679-0359.2018v39n6p2409 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/32892 |
identifier_str_mv |
10.5433/1679-0359.2018v39n6p2409 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/32892/24561 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UEL |
publisher.none.fl_str_mv |
UEL |
dc.source.none.fl_str_mv |
Semina: Ciências Agrárias; Vol. 39 No. 6 (2018); 2409-2424 Semina: Ciências Agrárias; v. 39 n. 6 (2018); 2409-2424 1679-0359 1676-546X reponame:Semina. Ciências Agrárias (Online) instname:Universidade Estadual de Londrina (UEL) instacron:UEL |
instname_str |
Universidade Estadual de Londrina (UEL) |
instacron_str |
UEL |
institution |
UEL |
reponame_str |
Semina. Ciências Agrárias (Online) |
collection |
Semina. Ciências Agrárias (Online) |
repository.name.fl_str_mv |
Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL) |
repository.mail.fl_str_mv |
semina.agrarias@uel.br |
_version_ |
1799306079693176832 |