Combinatorial analysis of agronomic characters in soybean
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência e Agrotecnologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542019000100204 |
Resumo: | ABSTRACT Evaluation of the genetic potential of parent plants is fundamental for obtaining superior populations with desirable agronomic characters. The aim of this work was to obtain estimates of the general and specific combining abilities of five soybean parents to identify the most promising parents and hybrid combinations for the development of superior genotypes for grain yield. In this study, two groups of soybean cultivars were selected: group I resistance (UFUS 7910 and BR/MG 46 Conquista) and group II (TMG 4182, TMG 4185 and BRSGO Chapadões). The parents were crossedin a 2 x 3 partial diallel scheme, and the experiment was analyzed according to Griffing’s (1956) parent and F1 model and adapted by Geraldi and Miranda Filho (1988). Six hybrid combinations and respective parents were arranged in randomized complete blocks with four repetitions. The following characters were evaluated: number of days for flowering and maturity, height of the plant in flowering and at maturity, number of nodes in flowering and at maturity, number of total pods and grain yield per plant. The BR/MG 46 Conquista, UFUS 7910 and BRSGO Chapadões parents contributed to obtaining productive segregant populations due to additivity for the total number of pods and grain yield per plant. The hybrid combinations BRSGO Chapadões x BR/MG 46 Conquista, BRSGO Chapadões x UFUS 7910 and TMG4182 x BR/MG 46 Conquista are promising for obtaining populations with high productive potential. |
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Combinatorial analysis of agronomic characters in soybeanGlycine maxpartial diallelcombining ability.ABSTRACT Evaluation of the genetic potential of parent plants is fundamental for obtaining superior populations with desirable agronomic characters. The aim of this work was to obtain estimates of the general and specific combining abilities of five soybean parents to identify the most promising parents and hybrid combinations for the development of superior genotypes for grain yield. In this study, two groups of soybean cultivars were selected: group I resistance (UFUS 7910 and BR/MG 46 Conquista) and group II (TMG 4182, TMG 4185 and BRSGO Chapadões). The parents were crossedin a 2 x 3 partial diallel scheme, and the experiment was analyzed according to Griffing’s (1956) parent and F1 model and adapted by Geraldi and Miranda Filho (1988). Six hybrid combinations and respective parents were arranged in randomized complete blocks with four repetitions. The following characters were evaluated: number of days for flowering and maturity, height of the plant in flowering and at maturity, number of nodes in flowering and at maturity, number of total pods and grain yield per plant. The BR/MG 46 Conquista, UFUS 7910 and BRSGO Chapadões parents contributed to obtaining productive segregant populations due to additivity for the total number of pods and grain yield per plant. The hybrid combinations BRSGO Chapadões x BR/MG 46 Conquista, BRSGO Chapadões x UFUS 7910 and TMG4182 x BR/MG 46 Conquista are promising for obtaining populations with high productive potential.Editora da UFLA2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542019000100204Ciência e Agrotecnologia v.43 2019reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-7054201943028018info:eu-repo/semantics/openAccessRocha,Makyslano Rezende daHamawaki,Osvaldo ToshiyukiNogueira,Ana Paula OliveiraMachado Junior,Carlos SebastiãoHamawaki,Cristiane Divina LemesHamawaki,Raphael Lemeseng2019-05-23T00:00:00Zoai:scielo:S1413-70542019000100204Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:37.361660Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Combinatorial analysis of agronomic characters in soybean |
title |
Combinatorial analysis of agronomic characters in soybean |
spellingShingle |
Combinatorial analysis of agronomic characters in soybean Rocha,Makyslano Rezende da Glycine max partial diallel combining ability. |
title_short |
Combinatorial analysis of agronomic characters in soybean |
title_full |
Combinatorial analysis of agronomic characters in soybean |
title_fullStr |
Combinatorial analysis of agronomic characters in soybean |
title_full_unstemmed |
Combinatorial analysis of agronomic characters in soybean |
title_sort |
Combinatorial analysis of agronomic characters in soybean |
author |
Rocha,Makyslano Rezende da |
author_facet |
Rocha,Makyslano Rezende da Hamawaki,Osvaldo Toshiyuki Nogueira,Ana Paula Oliveira Machado Junior,Carlos Sebastião Hamawaki,Cristiane Divina Lemes Hamawaki,Raphael Lemes |
author_role |
author |
author2 |
Hamawaki,Osvaldo Toshiyuki Nogueira,Ana Paula Oliveira Machado Junior,Carlos Sebastião Hamawaki,Cristiane Divina Lemes Hamawaki,Raphael Lemes |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Rocha,Makyslano Rezende da Hamawaki,Osvaldo Toshiyuki Nogueira,Ana Paula Oliveira Machado Junior,Carlos Sebastião Hamawaki,Cristiane Divina Lemes Hamawaki,Raphael Lemes |
dc.subject.por.fl_str_mv |
Glycine max partial diallel combining ability. |
topic |
Glycine max partial diallel combining ability. |
description |
ABSTRACT Evaluation of the genetic potential of parent plants is fundamental for obtaining superior populations with desirable agronomic characters. The aim of this work was to obtain estimates of the general and specific combining abilities of five soybean parents to identify the most promising parents and hybrid combinations for the development of superior genotypes for grain yield. In this study, two groups of soybean cultivars were selected: group I resistance (UFUS 7910 and BR/MG 46 Conquista) and group II (TMG 4182, TMG 4185 and BRSGO Chapadões). The parents were crossedin a 2 x 3 partial diallel scheme, and the experiment was analyzed according to Griffing’s (1956) parent and F1 model and adapted by Geraldi and Miranda Filho (1988). Six hybrid combinations and respective parents were arranged in randomized complete blocks with four repetitions. The following characters were evaluated: number of days for flowering and maturity, height of the plant in flowering and at maturity, number of nodes in flowering and at maturity, number of total pods and grain yield per plant. The BR/MG 46 Conquista, UFUS 7910 and BRSGO Chapadões parents contributed to obtaining productive segregant populations due to additivity for the total number of pods and grain yield per plant. The hybrid combinations BRSGO Chapadões x BR/MG 46 Conquista, BRSGO Chapadões x UFUS 7910 and TMG4182 x BR/MG 46 Conquista are promising for obtaining populations with high productive potential. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
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=S1413-70542019000100204 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542019000100204 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1413-7054201943028018 |
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 |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
Ciência e Agrotecnologia v.43 2019 reponame:Ciência e Agrotecnologia (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Ciência e Agrotecnologia (Online) |
collection |
Ciência e Agrotecnologia (Online) |
repository.name.fl_str_mv |
Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
||renpaiva@dbi.ufla.br|| editora@editora.ufla.br |
_version_ |
1799874970807959552 |