Agronomic characterization and genetic parameter estimation in yellow passion fruit

Detalhes bibliográficos
Autor(a) principal: Moreira, Hugo de Souza Motta
Data de Publicação: 2018
Outros Autores: Costa, Anne Pinheiro, Peixoto, José Ricardo, Vilela, Michelle Souza, Pires, Márcio de Carvalho, Junqueira, Nilton Tadeu Vilela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/39919
Resumo: The selection of yellow passion fruit (Passiflora edulis Sims) genotypes with high yield and fruit quality is essential for the development of passion fruit crop in the country. Therefore, the objective of this study was to evaluate the agronomic performance and estimate the genetic parameters of 32 yellow passion fruit genotypes cultivated in the Federal District, Brazil. The experiment consisted of randomized block design with 32 treatments, eight plants per plot, and four replications. Fruits were classified based on their equatorial diameter. Yield, number of fruits per hectare, and fruit weight were evaluated. Genotypes MAR20#23 and UnB-P7 presented the highest total yield, and MAR20#23 also showed the greatest total number of fruits per hectare. BRS GA1 and MAR20#23 had the best performance for industrial purposes dues to the fruits of smaller diameter classes. UnB-P7, AR-01, and MSC were more indicated for in natura consumption owing to the fruits of greater diameter classes. The high magnitude estimates for heritability and genetic variation coefficients indicate the possibility of greater genetic gains with direct selection for yield and number of fruits of 1C diameter class. Significant phenotypic correlations were observed, indicating the possibility of indirect selection for number of fruits, fruit weight, and yield.
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spelling Agronomic characterization and genetic parameter estimation in yellow passion fruit Caracterização agronômica e estimativa de parâmetros genéticos em maracujazeiro azedoAgronomic performanceplant breedingpassion fruit cultivationAgricultural SciencesThe selection of yellow passion fruit (Passiflora edulis Sims) genotypes with high yield and fruit quality is essential for the development of passion fruit crop in the country. Therefore, the objective of this study was to evaluate the agronomic performance and estimate the genetic parameters of 32 yellow passion fruit genotypes cultivated in the Federal District, Brazil. The experiment consisted of randomized block design with 32 treatments, eight plants per plot, and four replications. Fruits were classified based on their equatorial diameter. Yield, number of fruits per hectare, and fruit weight were evaluated. Genotypes MAR20#23 and UnB-P7 presented the highest total yield, and MAR20#23 also showed the greatest total number of fruits per hectare. BRS GA1 and MAR20#23 had the best performance for industrial purposes dues to the fruits of smaller diameter classes. UnB-P7, AR-01, and MSC were more indicated for in natura consumption owing to the fruits of greater diameter classes. The high magnitude estimates for heritability and genetic variation coefficients indicate the possibility of greater genetic gains with direct selection for yield and number of fruits of 1C diameter class. Significant phenotypic correlations were observed, indicating the possibility of indirect selection for number of fruits, fruit weight, and yield.A seleção de genótipos de maracujazeiro azedo (Passiflora edulis Sims) que apresentem alta produtividade e qualidade de frutos é essencial para o desenvolvimento da cultura do maracujá no país. Portanto, este trabalho teve como objetivo avaliar o desempenho agronômico e de estimar parâmetros genéticos de 32 genótipos de maracujazeiro azedo cultivados no Distrito Federal, Brasil. O experimento consistiu de um delineamento em blocos casualizados com 32 tratamentos, oito plantas por parcela, e quatro repetições. Os frutos foram classificados de acordo com o seu diâmetro equatorial. Produtividade, número de frutos por hectare e peso de frutos foram avaliados. Os genótipos MAR20#23 e UNB-P7 apresentaram as maiores produtividades totais, com valores superiores à média nacional. MAR20#23 também mostrou o maior número total de frutos por hectare. BRA GA1 e MAR20#23 exibiram a melhor performance para frutos de menores classes de diâmetro, que são destinados a fins industriais. Para o consumo in natura (frutos de maiores classes de diâmetro), UnB-P7, AR-01 e MSC apresentaram o melhor desempenho. As altas magnitudes das estimativas de herdabilidade e dos coeficientes de variação genéticos indicam a possibilidade de maiores ganhos por seleção direta para produtividade e número de frutos classe 1C. Correlações fenotípicas significativas foram observadas, indicando a possibilidade de seleção indireta para número de frutos, peso de frutos e produtividade.EDUFU2018-12-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3991910.14393/BJ-v34n6a2018-39919Bioscience Journal ; Vol. 34 (2018): Supplement 1; 58-70Bioscience Journal ; v. 34 (2018): Supplement 1; 58-701981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/39919/24773Brazil; ContemporaryCopyright (c) 2018 Hugo de Souza Motta Moreira, Anne Pinheiro Costa, José Ricardo Peixoto, Michelle Souza Vilela, Márcio de Carvalho Pires, Nilton Tadeu Vilela Junqueirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMoreira, Hugo de Souza MottaCosta, Anne PinheiroPeixoto, José RicardoVilela, Michelle SouzaPires, Márcio de CarvalhoJunqueira, Nilton Tadeu Vilela2022-03-23T11:29:59Zoai:ojs.www.seer.ufu.br:article/39919Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-03-23T11:29:59Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Agronomic characterization and genetic parameter estimation in yellow passion fruit
Caracterização agronômica e estimativa de parâmetros genéticos em maracujazeiro azedo
title Agronomic characterization and genetic parameter estimation in yellow passion fruit
spellingShingle Agronomic characterization and genetic parameter estimation in yellow passion fruit
Moreira, Hugo de Souza Motta
Agronomic performance
plant breeding
passion fruit cultivation
Agricultural Sciences
title_short Agronomic characterization and genetic parameter estimation in yellow passion fruit
title_full Agronomic characterization and genetic parameter estimation in yellow passion fruit
title_fullStr Agronomic characterization and genetic parameter estimation in yellow passion fruit
title_full_unstemmed Agronomic characterization and genetic parameter estimation in yellow passion fruit
title_sort Agronomic characterization and genetic parameter estimation in yellow passion fruit
author Moreira, Hugo de Souza Motta
author_facet Moreira, Hugo de Souza Motta
Costa, Anne Pinheiro
Peixoto, José Ricardo
Vilela, Michelle Souza
Pires, Márcio de Carvalho
Junqueira, Nilton Tadeu Vilela
author_role author
author2 Costa, Anne Pinheiro
Peixoto, José Ricardo
Vilela, Michelle Souza
Pires, Márcio de Carvalho
Junqueira, Nilton Tadeu Vilela
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Moreira, Hugo de Souza Motta
Costa, Anne Pinheiro
Peixoto, José Ricardo
Vilela, Michelle Souza
Pires, Márcio de Carvalho
Junqueira, Nilton Tadeu Vilela
dc.subject.por.fl_str_mv Agronomic performance
plant breeding
passion fruit cultivation
Agricultural Sciences
topic Agronomic performance
plant breeding
passion fruit cultivation
Agricultural Sciences
description The selection of yellow passion fruit (Passiflora edulis Sims) genotypes with high yield and fruit quality is essential for the development of passion fruit crop in the country. Therefore, the objective of this study was to evaluate the agronomic performance and estimate the genetic parameters of 32 yellow passion fruit genotypes cultivated in the Federal District, Brazil. The experiment consisted of randomized block design with 32 treatments, eight plants per plot, and four replications. Fruits were classified based on their equatorial diameter. Yield, number of fruits per hectare, and fruit weight were evaluated. Genotypes MAR20#23 and UnB-P7 presented the highest total yield, and MAR20#23 also showed the greatest total number of fruits per hectare. BRS GA1 and MAR20#23 had the best performance for industrial purposes dues to the fruits of smaller diameter classes. UnB-P7, AR-01, and MSC were more indicated for in natura consumption owing to the fruits of greater diameter classes. The high magnitude estimates for heritability and genetic variation coefficients indicate the possibility of greater genetic gains with direct selection for yield and number of fruits of 1C diameter class. Significant phenotypic correlations were observed, indicating the possibility of indirect selection for number of fruits, fruit weight, and yield.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/39919
10.14393/BJ-v34n6a2018-39919
url https://seer.ufu.br/index.php/biosciencejournal/article/view/39919
identifier_str_mv 10.14393/BJ-v34n6a2018-39919
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/39919/24773
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 34 (2018): Supplement 1; 58-70
Bioscience Journal ; v. 34 (2018): Supplement 1; 58-70
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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