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

Bibliographic Details
Main Author: Oliveira, Cíntia Patrícia Martins [UNESP]
Publication Date: 2022
Other Authors: Faria, Glaucia Amorim [UNESP], Ferreira, Antonio Flavio Arruda
Format: Article
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1590/0034-737X202269010010
http://hdl.handle.net/11449/223414
Summary: 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 correlationSeedlingsSeedsSeed 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 seedlingsUniversidade Estadual Paulista Departamento de Matemática, Sao PauloUniversidade do Estado do Mato Grosso Departamento de Agronomia, Mato GrossoUniversidade Estadual Paulista Departamento de Matemática, Sao PauloUniversidade Estadual Paulista (UNESP)Universidade do Estado do Mato GrossoOliveira, Cíntia Patrícia Martins [UNESP]Faria, Glaucia Amorim [UNESP]Ferreira, Antonio Flavio Arruda2022-04-28T19:50:36Z2022-04-28T19:50:36Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article70-77http://dx.doi.org/10.1590/0034-737X202269010010Revista Ceres, v. 69, n. 1, p. 70-77, 2022.2177-34910034-737Xhttp://hdl.handle.net/11449/22341410.1590/0034-737X2022690100102-s2.0-85124136504Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Ceresinfo:eu-repo/semantics/openAccess2022-04-28T19:50:36Zoai:repositorio.unesp.br:11449/223414Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:50:36Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
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 [UNESP]
Mulamba & mock index
Pearson’s correlation
Seedlings
Seeds
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 [UNESP]
author_facet Oliveira, Cíntia Patrícia Martins [UNESP]
Faria, Glaucia Amorim [UNESP]
Ferreira, Antonio Flavio Arruda
author_role author
author2 Faria, Glaucia Amorim [UNESP]
Ferreira, Antonio Flavio Arruda
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade do Estado do Mato Grosso
dc.contributor.author.fl_str_mv Oliveira, Cíntia Patrícia Martins [UNESP]
Faria, Glaucia Amorim [UNESP]
Ferreira, Antonio Flavio Arruda
dc.subject.por.fl_str_mv Mulamba & mock index
Pearson’s correlation
Seedlings
Seeds
topic Mulamba & mock index
Pearson’s correlation
Seedlings
Seeds
description 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 2022-04-28T19:50:36Z
2022-04-28T19:50:36Z
2022-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/0034-737X202269010010
Revista Ceres, v. 69, n. 1, p. 70-77, 2022.
2177-3491
0034-737X
http://hdl.handle.net/11449/223414
10.1590/0034-737X202269010010
2-s2.0-85124136504
url http://dx.doi.org/10.1590/0034-737X202269010010
http://hdl.handle.net/11449/223414
identifier_str_mv Revista Ceres, v. 69, n. 1, p. 70-77, 2022.
2177-3491
0034-737X
10.1590/0034-737X202269010010
2-s2.0-85124136504
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Ceres
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 70-77
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964901155799040