Combining ability and analysis of genetic components of synthetic maize populations using a mixed model approach
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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. |
id |
UNSP_3fc1708b9d7c3a60e6ad5ed18f122f44 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/194959 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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 |
|
_version_ |
1808129365307817984 |