Genetic variability among broccoli genotypes based on biochemical and molecular traits
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Horticultura Brasileira |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362021000300288 |
Resumo: | ABSTRACT Broccoli (Brassica oleracea var. italica) is one of the most important vegetables in the world and also shows important functional properties. The present study aimed to characterize 19 broccoli genotypes using biochemical traits (content of total phenolic compounds, total flavonoids and antioxidant activity) and AFLP (Amplified Fragment Length Polymorphism) molecular markers. The experiment was carried out in a greenhouse using a complete randomized block design with three replicates. The phenotypic data were subjected to analysis of variance (p≤0.05), Scott-Knott average clustering method (p≤0.05) and principal component analysis (PCA). Using molecular data, Ward’s hierarchical clustering, Bayesian clustering and principal coordinate analysis (PCoA) were performed. Molecular data showed genetic diversity among the genotypes (three groups), also a wide variability in the total phenolic compounds, total flavonoids content and antioxidant activity using FRAP method. HT3010, Hanabi and Bonanza genotypes showed desirable biochemical traits for the demanding functional food consumers, in addition to being promising genotypes to be exploited in plant breeding programs. |
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Horticultura Brasileira |
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Genetic variability among broccoli genotypes based on biochemical and molecular traitsBrassica oleracea var. itálicaphenolic compoundsbreedinghorticulturepost-harvestABSTRACT Broccoli (Brassica oleracea var. italica) is one of the most important vegetables in the world and also shows important functional properties. The present study aimed to characterize 19 broccoli genotypes using biochemical traits (content of total phenolic compounds, total flavonoids and antioxidant activity) and AFLP (Amplified Fragment Length Polymorphism) molecular markers. The experiment was carried out in a greenhouse using a complete randomized block design with three replicates. The phenotypic data were subjected to analysis of variance (p≤0.05), Scott-Knott average clustering method (p≤0.05) and principal component analysis (PCA). Using molecular data, Ward’s hierarchical clustering, Bayesian clustering and principal coordinate analysis (PCoA) were performed. Molecular data showed genetic diversity among the genotypes (three groups), also a wide variability in the total phenolic compounds, total flavonoids content and antioxidant activity using FRAP method. HT3010, Hanabi and Bonanza genotypes showed desirable biochemical traits for the demanding functional food consumers, in addition to being promising genotypes to be exploited in plant breeding programs.Associação Brasileira de Horticultura2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362021000300288Horticultura Brasileira v.39 n.3 2021reponame:Horticultura Brasileirainstname:Associação Brasileira de Horticultura (ABH)instacron:ABH10.1590/s0102-0536-20210307info:eu-repo/semantics/openAccessChaves Júnior,Osmar JZeffa,Douglas MConstantino,Leonel VGiacomin,Renata MSiqueira,Rafael GBSilva,Gabriel ABNogueira,Alison FGonçalves,Leandro SAVentura,Maurício Ueng2021-09-28T00:00:00Zoai:scielo:S0102-05362021000300288Revistahttp://cms.horticulturabrasileira.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||hortbras@gmail.com1806-99910102-0536opendoar:2021-09-28T00:00Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)false |
dc.title.none.fl_str_mv |
Genetic variability among broccoli genotypes based on biochemical and molecular traits |
title |
Genetic variability among broccoli genotypes based on biochemical and molecular traits |
spellingShingle |
Genetic variability among broccoli genotypes based on biochemical and molecular traits Chaves Júnior,Osmar J Brassica oleracea var. itálica phenolic compounds breeding horticulture post-harvest |
title_short |
Genetic variability among broccoli genotypes based on biochemical and molecular traits |
title_full |
Genetic variability among broccoli genotypes based on biochemical and molecular traits |
title_fullStr |
Genetic variability among broccoli genotypes based on biochemical and molecular traits |
title_full_unstemmed |
Genetic variability among broccoli genotypes based on biochemical and molecular traits |
title_sort |
Genetic variability among broccoli genotypes based on biochemical and molecular traits |
author |
Chaves Júnior,Osmar J |
author_facet |
Chaves Júnior,Osmar J Zeffa,Douglas M Constantino,Leonel V Giacomin,Renata M Siqueira,Rafael GB Silva,Gabriel AB Nogueira,Alison F Gonçalves,Leandro SA Ventura,Maurício U |
author_role |
author |
author2 |
Zeffa,Douglas M Constantino,Leonel V Giacomin,Renata M Siqueira,Rafael GB Silva,Gabriel AB Nogueira,Alison F Gonçalves,Leandro SA Ventura,Maurício U |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Chaves Júnior,Osmar J Zeffa,Douglas M Constantino,Leonel V Giacomin,Renata M Siqueira,Rafael GB Silva,Gabriel AB Nogueira,Alison F Gonçalves,Leandro SA Ventura,Maurício U |
dc.subject.por.fl_str_mv |
Brassica oleracea var. itálica phenolic compounds breeding horticulture post-harvest |
topic |
Brassica oleracea var. itálica phenolic compounds breeding horticulture post-harvest |
description |
ABSTRACT Broccoli (Brassica oleracea var. italica) is one of the most important vegetables in the world and also shows important functional properties. The present study aimed to characterize 19 broccoli genotypes using biochemical traits (content of total phenolic compounds, total flavonoids and antioxidant activity) and AFLP (Amplified Fragment Length Polymorphism) molecular markers. The experiment was carried out in a greenhouse using a complete randomized block design with three replicates. The phenotypic data were subjected to analysis of variance (p≤0.05), Scott-Knott average clustering method (p≤0.05) and principal component analysis (PCA). Using molecular data, Ward’s hierarchical clustering, Bayesian clustering and principal coordinate analysis (PCoA) were performed. Molecular data showed genetic diversity among the genotypes (three groups), also a wide variability in the total phenolic compounds, total flavonoids content and antioxidant activity using FRAP method. HT3010, Hanabi and Bonanza genotypes showed desirable biochemical traits for the demanding functional food consumers, in addition to being promising genotypes to be exploited in plant breeding programs. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-01 |
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=S0102-05362021000300288 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362021000300288 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s0102-0536-20210307 |
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 |
Associação Brasileira de Horticultura |
publisher.none.fl_str_mv |
Associação Brasileira de Horticultura |
dc.source.none.fl_str_mv |
Horticultura Brasileira v.39 n.3 2021 reponame:Horticultura Brasileira instname:Associação Brasileira de Horticultura (ABH) instacron:ABH |
instname_str |
Associação Brasileira de Horticultura (ABH) |
instacron_str |
ABH |
institution |
ABH |
reponame_str |
Horticultura Brasileira |
collection |
Horticultura Brasileira |
repository.name.fl_str_mv |
Horticultura Brasileira - Associação Brasileira de Horticultura (ABH) |
repository.mail.fl_str_mv |
||hortbras@gmail.com |
_version_ |
1754213084748054528 |