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: | 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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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 |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1728006784243728384 |