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

dc.contributor.authorFerreira Oliveira, Gustavo Hugo
dc.contributor.authorMazza Revolti, Lucas Tadeu [UNESP]
dc.contributor.authorBuzinaro, Rodolfo [UNESP]
dc.contributor.authorCharnai, Kaue
dc.contributor.authorBraz Giorgenon, Carlos Henrique
dc.contributor.authorMoro, Gustavo Vitti
dc.contributor.institutionUniversidade Federal de Sergipe (UFS)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionGDM Genet Brasil SA
dc.contributor.institutionDuPont Brasil
dc.date.accessioned2020-12-10T16:59:58Z
dc.date.available2020-12-10T16:59:58Z
dc.date.issued2019-01-01
dc.description.abstractThe 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.en
dc.description.affiliationUniv Fed Sergipe, Nucleo Grad Agron, Campus Sertao, Nossa Senhora Da Gloria, SE, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SF, Brazil
dc.description.affiliationGDM Genet Brasil SA, Rio Verde, Go, Brazil
dc.description.affiliationDuPont Brasil, Div Pioneer Sementes, Porto Nacional, TO, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SF, Brazil
dc.format.extent6
dc.identifierhttp://dx.doi.org/10.5039/agraria.v14i1a5626
dc.identifier.citationRevista Brasileira De Ciencias Agrarias-agraria. Recife Pe: Univ Federal Rural Pernambuco, v. 14, n. 1, 6 p., 2019.
dc.identifier.doi10.5039/agraria.v14i1a5626
dc.identifier.issn1981-1160
dc.identifier.urihttp://hdl.handle.net/11449/194959
dc.identifier.wosWOS:000495660000003
dc.language.isoeng
dc.publisherUniv Federal Rural Pernambuco
dc.relation.ispartofRevista Brasileira De Ciencias Agrarias-agraria
dc.sourceWeb of Science
dc.subjectgeneral combining ability
dc.subjectheterosis
dc.subjectspecific combining ability
dc.subjectZea mays L.
dc.titleCombining ability and analysis of genetic components of synthetic maize populations using a mixed model approachen
dc.typeArtigo
dcterms.rightsHolderUniv Federal Rural Pernambuco
dspace.entity.typePublication

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