Agronomic trait selection and pre-germinative treatments in passion fruit hybrid

Detalhes bibliográficos
Autor(a) principal: Oliveira,Cíntia Patrícia Martins
Data de Publicação: 2022
Outros Autores: Faria,Glaucia Amorim, Ferreira,Antonio Flavio Arruda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ceres
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100070
Resumo: ABSTRACT Seed biometry and dormancy overcoming methods should be considered in the passion fruit production chain, in the seedling production stage, because of the different characteristics that condition the seedlings. The objective of this work was to identify and correlate the main biometric characteristics between seeds and seedlings and to select the best pre-germinative treatments in passion fruit hybrids. Seed length, width, thickness and weight were measured, and subsequently subjected to pre-germinative treatments, in a completely randomized design, in a 5 x 2 x 3 (GA3 concentrations x scarification x hybrids) factorial scheme. In the initial development of the seedlings, the length of the aerial part, the diameter of the stem and the number of leaves were evaluated. Pearson's correlation matrix was estimated between seed and seedling characters and, subsequently, path analysis. The Classification Sum Index was used for the means of the characters under pre-germinative treatment. The best pre-germinative treatment for BRS GA is scarification and soaking in 50 mg of GA3, for BRS SC, soaking in 100 mg of GA3, and for BRS RC, immersion in 50 mg of GA3. Seed morphometric selection is a technique that should be recommended to obtain quality seedlings.
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spelling Agronomic trait selection and pre-germinative treatments in passion fruit hybridMulamba & Mock indexPearson’s correlationseedsseedlingsABSTRACT Seed biometry and dormancy overcoming methods should be considered in the passion fruit production chain, in the seedling production stage, because of the different characteristics that condition the seedlings. The objective of this work was to identify and correlate the main biometric characteristics between seeds and seedlings and to select the best pre-germinative treatments in passion fruit hybrids. Seed length, width, thickness and weight were measured, and subsequently subjected to pre-germinative treatments, in a completely randomized design, in a 5 x 2 x 3 (GA3 concentrations x scarification x hybrids) factorial scheme. In the initial development of the seedlings, the length of the aerial part, the diameter of the stem and the number of leaves were evaluated. Pearson's correlation matrix was estimated between seed and seedling characters and, subsequently, path analysis. The Classification Sum Index was used for the means of the characters under pre-germinative treatment. The best pre-germinative treatment for BRS GA is scarification and soaking in 50 mg of GA3, for BRS SC, soaking in 100 mg of GA3, and for BRS RC, immersion in 50 mg of GA3. Seed morphometric selection is a technique that should be recommended to obtain quality seedlings.Universidade Federal de Viçosa2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100070Revista Ceres v.69 n.1 2022reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737x202269010010info:eu-repo/semantics/openAccessOliveira,Cíntia Patrícia MartinsFaria,Glaucia AmorimFerreira,Antonio Flavio Arrudaeng2022-01-11T00:00:00ZRevista
dc.title.none.fl_str_mv Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
title Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
spellingShingle Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
Oliveira,Cíntia Patrícia Martins
Mulamba & Mock index
Pearson’s correlation
seeds
seedlings
title_short Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
title_full Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
title_fullStr Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
title_full_unstemmed Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
title_sort Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
author Oliveira,Cíntia Patrícia Martins
author_facet Oliveira,Cíntia Patrícia Martins
Faria,Glaucia Amorim
Ferreira,Antonio Flavio Arruda
author_role author
author2 Faria,Glaucia Amorim
Ferreira,Antonio Flavio Arruda
author2_role author
author
dc.contributor.author.fl_str_mv Oliveira,Cíntia Patrícia Martins
Faria,Glaucia Amorim
Ferreira,Antonio Flavio Arruda
dc.subject.por.fl_str_mv Mulamba & Mock index
Pearson’s correlation
seeds
seedlings
topic Mulamba & Mock index
Pearson’s correlation
seeds
seedlings
dc.description.none.fl_txt_mv ABSTRACT Seed biometry and dormancy overcoming methods should be considered in the passion fruit production chain, in the seedling production stage, because of the different characteristics that condition the seedlings. The objective of this work was to identify and correlate the main biometric characteristics between seeds and seedlings and to select the best pre-germinative treatments in passion fruit hybrids. Seed length, width, thickness and weight were measured, and subsequently subjected to pre-germinative treatments, in a completely randomized design, in a 5 x 2 x 3 (GA3 concentrations x scarification x hybrids) factorial scheme. In the initial development of the seedlings, the length of the aerial part, the diameter of the stem and the number of leaves were evaluated. Pearson's correlation matrix was estimated between seed and seedling characters and, subsequently, path analysis. The Classification Sum Index was used for the means of the characters under pre-germinative treatment. The best pre-germinative treatment for BRS GA is scarification and soaking in 50 mg of GA3, for BRS SC, soaking in 100 mg of GA3, and for BRS RC, immersion in 50 mg of GA3. Seed morphometric selection is a technique that should be recommended to obtain quality seedlings.
description ABSTRACT Seed biometry and dormancy overcoming methods should be considered in the passion fruit production chain, in the seedling production stage, because of the different characteristics that condition the seedlings. The objective of this work was to identify and correlate the main biometric characteristics between seeds and seedlings and to select the best pre-germinative treatments in passion fruit hybrids. Seed length, width, thickness and weight were measured, and subsequently subjected to pre-germinative treatments, in a completely randomized design, in a 5 x 2 x 3 (GA3 concentrations x scarification x hybrids) factorial scheme. In the initial development of the seedlings, the length of the aerial part, the diameter of the stem and the number of leaves were evaluated. Pearson's correlation matrix was estimated between seed and seedling characters and, subsequently, path analysis. The Classification Sum Index was used for the means of the characters under pre-germinative treatment. The best pre-germinative treatment for BRS GA is scarification and soaking in 50 mg of GA3, for BRS SC, soaking in 100 mg of GA3, and for BRS RC, immersion in 50 mg of GA3. Seed morphometric selection is a technique that should be recommended to obtain quality seedlings.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-01
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=S0034-737X2022000100070
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100070
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-737x202269010010
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 Universidade Federal de Viçosa
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv Revista Ceres v.69 n.1 2022
reponame:Revista Ceres
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista Ceres
collection Revista Ceres
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repository.mail.fl_str_mv
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