Agronomic trait selection and pre-germinative treatments in passion fruit hybrid
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
DOI: | 10.1590/0034-737X202269010010 |
Texto Completo: | http://dx.doi.org/10.1590/0034-737X202269010010 http://hdl.handle.net/11449/223414 |
Resumo: | 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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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:29462024-08-05T17:25:21.361344Repositório 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 Agronomic trait selection and pre-germinative treatments in passion fruit hybrid Oliveira, Cíntia Patrícia Martins [UNESP] Mulamba & mock index Pearson’s correlation Seedlings Seeds 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 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 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] Oliveira, Cíntia Patrícia Martins [UNESP] Faria, Glaucia Amorim [UNESP] Ferreira, Antonio Flavio Arruda 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_ |
1822182391523835904 |
dc.identifier.doi.none.fl_str_mv |
10.1590/0034-737X202269010010 |