Strategies for the next cycles of intrapopulation improvement of sour passion fruit
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000300167 |
Resumo: | ABSTRACT In breeding programs, the identification of genetic variability and knowledge of genetic constitutions existing within segregating populations are of fundamental importance for the success and continuation of the program. The present study aimed to quantify the genetic diversity among progenies of a sour passion fruit population based on morphoagronomic variables of flowers and fruits using the Ward-MLM (modified location model) procedure, which was efficient in quantifying genetic diversity and allowed the identification and consistent formation of three groups within the population. Among the groups formed, group I presented the highest means for the variables related to flowers, group II presented the highest values for the variables related to yield, and group III presented the highest means for the variables related to fruit quality. The androgynous length, nectariferous chamber length, anther surface, nectareous chamber length, and stigma surface were the variables that most contributed to the divergence between the evaluated genotypes. Crosses between groups II and III genotypes are promising for the next cycle, contributing to increased production and improvement of the physical and chemical quality of fruits. |
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Strategies for the next cycles of intrapopulation improvement of sour passion fruitPassiflora edulis SimsWard-modified location modelrecurrent selectionABSTRACT In breeding programs, the identification of genetic variability and knowledge of genetic constitutions existing within segregating populations are of fundamental importance for the success and continuation of the program. The present study aimed to quantify the genetic diversity among progenies of a sour passion fruit population based on morphoagronomic variables of flowers and fruits using the Ward-MLM (modified location model) procedure, which was efficient in quantifying genetic diversity and allowed the identification and consistent formation of three groups within the population. Among the groups formed, group I presented the highest means for the variables related to flowers, group II presented the highest values for the variables related to yield, and group III presented the highest means for the variables related to fruit quality. The androgynous length, nectariferous chamber length, anther surface, nectareous chamber length, and stigma surface were the variables that most contributed to the divergence between the evaluated genotypes. Crosses between groups II and III genotypes are promising for the next cycle, contributing to increased production and improvement of the physical and chemical quality of fruits.Departamento de Engenharia Agrícola - UFCG2023-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000300167Revista Brasileira de Engenharia Agrícola e Ambiental v.27 n.3 2023reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v27n3p167-172info:eu-repo/semantics/openAccessFachi,Leandro R.Krause,WillianLima,Kecy S. deSantos,Eileen A.Silva,Fernando H. de L. eeng2022-11-17T00:00:00Zoai:scielo:S1415-43662023000300167Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2022-11-17T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false |
dc.title.none.fl_str_mv |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit |
title |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit |
spellingShingle |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit Fachi,Leandro R. Passiflora edulis Sims Ward-modified location model recurrent selection |
title_short |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit |
title_full |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit |
title_fullStr |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit |
title_full_unstemmed |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit |
title_sort |
Strategies for the next cycles of intrapopulation improvement of sour passion fruit |
author |
Fachi,Leandro R. |
author_facet |
Fachi,Leandro R. Krause,Willian Lima,Kecy S. de Santos,Eileen A. Silva,Fernando H. de L. e |
author_role |
author |
author2 |
Krause,Willian Lima,Kecy S. de Santos,Eileen A. Silva,Fernando H. de L. e |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Fachi,Leandro R. Krause,Willian Lima,Kecy S. de Santos,Eileen A. Silva,Fernando H. de L. e |
dc.subject.por.fl_str_mv |
Passiflora edulis Sims Ward-modified location model recurrent selection |
topic |
Passiflora edulis Sims Ward-modified location model recurrent selection |
description |
ABSTRACT In breeding programs, the identification of genetic variability and knowledge of genetic constitutions existing within segregating populations are of fundamental importance for the success and continuation of the program. The present study aimed to quantify the genetic diversity among progenies of a sour passion fruit population based on morphoagronomic variables of flowers and fruits using the Ward-MLM (modified location model) procedure, which was efficient in quantifying genetic diversity and allowed the identification and consistent formation of three groups within the population. Among the groups formed, group I presented the highest means for the variables related to flowers, group II presented the highest values for the variables related to yield, and group III presented the highest means for the variables related to fruit quality. The androgynous length, nectariferous chamber length, anther surface, nectareous chamber length, and stigma surface were the variables that most contributed to the divergence between the evaluated genotypes. Crosses between groups II and III genotypes are promising for the next cycle, contributing to increased production and improvement of the physical and chemical quality of fruits. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-01 |
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=S1415-43662023000300167 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000300167 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-1929/agriambi.v27n3p167-172 |
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 |
Departamento de Engenharia Agrícola - UFCG |
publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental v.27 n.3 2023 reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online) instname:Universidade Federal de Campina Grande (UFCG) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
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1750297688735219712 |