Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach

Detalhes bibliográficos
Autor(a) principal: Ferreira Oliveira, Gustavo Hugo
Data de Publicação: 2019
Outros Autores: Mazza Revolti, Lucas Tadeu [UNESP], Buzinaro, Rodolfo [UNESP], Charnai, Kaue, Braz Giorgenon, Carlos Henrique, Moro, Gustavo Vitti
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5039/agraria.v14i1a5626
http://hdl.handle.net/11449/194959
Resumo: The aim of this study was to estimate the combined ability and analyze the genetic variance components of synthetic maize populations using diallel crossing with a mixed model approach. Twelve synthetic varieties were crossed following the complete diallel scheme without reciprocals, resulting in 66 intervarietal hybrids, which were evaluated along with the parental populations and four commercial cultivars in three different environments. An experiment was performed on 82 genotypes using a randomized complete block design with three repetitions. The evaluated traits were ear height (EH), plant height (PH) and grain yield (GY). Griffing's Model II, Method 2 and Gardner and Eberhart's Model II were combined for diallel analysis, along with the UPGMA method based on predicted breeding values (BLUP). The non-additive genetic effects were the most important for plant architecture and grain yield within each synthetic population, as based on the GCA and SCA. Clusters 1 and 2 separated by UPGMA can be included in breeding programs to obtain hybrids, and cluster 3 can be used to obtain genotypes with lower plant architectures and higher productivity in intrapopulation breeding programs.
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spelling Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approachgeneral combining abilityheterosisspecific combining abilityZea mays L.The aim of this study was to estimate the combined ability and analyze the genetic variance components of synthetic maize populations using diallel crossing with a mixed model approach. Twelve synthetic varieties were crossed following the complete diallel scheme without reciprocals, resulting in 66 intervarietal hybrids, which were evaluated along with the parental populations and four commercial cultivars in three different environments. An experiment was performed on 82 genotypes using a randomized complete block design with three repetitions. The evaluated traits were ear height (EH), plant height (PH) and grain yield (GY). Griffing's Model II, Method 2 and Gardner and Eberhart's Model II were combined for diallel analysis, along with the UPGMA method based on predicted breeding values (BLUP). The non-additive genetic effects were the most important for plant architecture and grain yield within each synthetic population, as based on the GCA and SCA. Clusters 1 and 2 separated by UPGMA can be included in breeding programs to obtain hybrids, and cluster 3 can be used to obtain genotypes with lower plant architectures and higher productivity in intrapopulation breeding programs.Univ Fed Sergipe, Nucleo Grad Agron, Campus Sertao, Nossa Senhora Da Gloria, SE, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SF, BrazilGDM Genet Brasil SA, Rio Verde, Go, BrazilDuPont Brasil, Div Pioneer Sementes, Porto Nacional, TO, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SF, BrazilUniv Federal Rural PernambucoUniversidade Federal de Sergipe (UFS)Universidade Estadual Paulista (Unesp)GDM Genet Brasil SADuPont BrasilFerreira Oliveira, Gustavo HugoMazza Revolti, Lucas Tadeu [UNESP]Buzinaro, Rodolfo [UNESP]Charnai, KaueBraz Giorgenon, Carlos HenriqueMoro, Gustavo Vitti2020-12-10T16:59:58Z2020-12-10T16:59:58Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article6http://dx.doi.org/10.5039/agraria.v14i1a5626Revista Brasileira De Ciencias Agrarias-agraria. Recife Pe: Univ Federal Rural Pernambuco, v. 14, n. 1, 6 p., 2019.1981-1160http://hdl.handle.net/11449/19495910.5039/agraria.v14i1a5626WOS:000495660000003Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira De Ciencias Agrarias-agrariainfo:eu-repo/semantics/openAccess2021-10-23T03:03:40Zoai:repositorio.unesp.br:11449/194959Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:50:39.210589Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
title Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
spellingShingle Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
Ferreira Oliveira, Gustavo Hugo
general combining ability
heterosis
specific combining ability
Zea mays L.
title_short Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
title_full Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
title_fullStr Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
title_full_unstemmed Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
title_sort Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
author Ferreira Oliveira, Gustavo Hugo
author_facet Ferreira Oliveira, Gustavo Hugo
Mazza Revolti, Lucas Tadeu [UNESP]
Buzinaro, Rodolfo [UNESP]
Charnai, Kaue
Braz Giorgenon, Carlos Henrique
Moro, Gustavo Vitti
author_role author
author2 Mazza Revolti, Lucas Tadeu [UNESP]
Buzinaro, Rodolfo [UNESP]
Charnai, Kaue
Braz Giorgenon, Carlos Henrique
Moro, Gustavo Vitti
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Sergipe (UFS)
Universidade Estadual Paulista (Unesp)
GDM Genet Brasil SA
DuPont Brasil
dc.contributor.author.fl_str_mv Ferreira Oliveira, Gustavo Hugo
Mazza Revolti, Lucas Tadeu [UNESP]
Buzinaro, Rodolfo [UNESP]
Charnai, Kaue
Braz Giorgenon, Carlos Henrique
Moro, Gustavo Vitti
dc.subject.por.fl_str_mv general combining ability
heterosis
specific combining ability
Zea mays L.
topic general combining ability
heterosis
specific combining ability
Zea mays L.
description The aim of this study was to estimate the combined ability and analyze the genetic variance components of synthetic maize populations using diallel crossing with a mixed model approach. Twelve synthetic varieties were crossed following the complete diallel scheme without reciprocals, resulting in 66 intervarietal hybrids, which were evaluated along with the parental populations and four commercial cultivars in three different environments. An experiment was performed on 82 genotypes using a randomized complete block design with three repetitions. The evaluated traits were ear height (EH), plant height (PH) and grain yield (GY). Griffing's Model II, Method 2 and Gardner and Eberhart's Model II were combined for diallel analysis, along with the UPGMA method based on predicted breeding values (BLUP). The non-additive genetic effects were the most important for plant architecture and grain yield within each synthetic population, as based on the GCA and SCA. Clusters 1 and 2 separated by UPGMA can be included in breeding programs to obtain hybrids, and cluster 3 can be used to obtain genotypes with lower plant architectures and higher productivity in intrapopulation breeding programs.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2020-12-10T16:59:58Z
2020-12-10T16:59:58Z
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/10.5039/agraria.v14i1a5626
Revista Brasileira De Ciencias Agrarias-agraria. Recife Pe: Univ Federal Rural Pernambuco, v. 14, n. 1, 6 p., 2019.
1981-1160
http://hdl.handle.net/11449/194959
10.5039/agraria.v14i1a5626
WOS:000495660000003
url http://dx.doi.org/10.5039/agraria.v14i1a5626
http://hdl.handle.net/11449/194959
identifier_str_mv Revista Brasileira De Ciencias Agrarias-agraria. Recife Pe: Univ Federal Rural Pernambuco, v. 14, n. 1, 6 p., 2019.
1981-1160
10.5039/agraria.v14i1a5626
WOS:000495660000003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Brasileira De Ciencias Agrarias-agraria
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Univ Federal Rural Pernambuco
publisher.none.fl_str_mv Univ Federal Rural Pernambuco
dc.source.none.fl_str_mv Web of Science
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
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