Agronomic characterization and genetic parameter estimation in yellow passion fruit
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Publication Date: | 2018 |
Other Authors: | , , , , |
Format: | Article |
Language: | eng |
Source: | Bioscience journal (Online) |
Download full: | https://seer.ufu.br/index.php/biosciencejournal/article/view/39919 |
Summary: | 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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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|| |
_version_ |
1797069079070113792 |