Strategies to select soybean segregating populations with the goal of improving agronomic traits

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dc.contributor.authorSilva, Fabiana Mota da [UNESP]
dc.contributor.authorPereira, Elise de Matos [UNESP]
dc.contributor.authorPedroso Val, Bruno Henrique [UNESP]
dc.contributor.authorPerecin, Dilermando [UNESP]
dc.contributor.authorDi Mauro, Antonio Orlando [UNESP]
dc.contributor.authorUneda-Trevisoli, Sandra Helena [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T17:54:55Z
dc.date.available2018-11-26T17:54:55Z
dc.date.issued2018-01-01
dc.description.abstractThe success of breeding programs depends on selection procedures and on the breeding methods adopted for selecting segregating populations. The objective of this study was to evaluate the efficiency of the Bulk method with selection in the F-3 generation (BulkF3) compared to that of Bulk method as well as determine the most effective selection strategy in terms of genetic gain. Twenty segregating populations were selected by two methods. The 60 best families of each method were selected according to their average agronomic performance. An augmented block design was used. The following agronomic traits were evaluated: insertion height of first pod, plant height at maturity, number of branches and of pods per plant, 100-seed weight, and grain yield. For comparison of the methods, genetic component estimates, genetic gain and predicted breeding values were calculated using mixed models (REML and BLUP). The results showed the families obtained with the BulkF3 method were more productive, showed suitable plant height, a larger number of branches and pods, and higher 100-seed weight. The BulkF3 method was found to be an effective selection strategy for soybean improvement.en
dc.description.affiliationUniv Estadual Paulista, Dept Prod Vegetal, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dept Prod Vegetal, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent9
dc.identifierhttp://dx.doi.org/10.4025/actasciagron.v40i1.39324
dc.identifier.citationActa Scientiarum-agronomy. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 40, 9 p., 2018.
dc.identifier.doi10.4025/actasciagron.v40i1.39324
dc.identifier.fileS1807-86212018000100409.pdf
dc.identifier.issn1807-8621
dc.identifier.scieloS1807-86212018000100409
dc.identifier.urihttp://hdl.handle.net/11449/164530
dc.identifier.wosWOS:000441886500001
dc.language.isoeng
dc.publisherUniv Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
dc.relation.ispartofActa Scientiarum-agronomy
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectgenetic gain
dc.subjectGlycine max
dc.subjectbreeding methods
dc.subjectmixed model
dc.titleStrategies to select soybean segregating populations with the goal of improving agronomic traitsen
dc.typeArtigo
dcterms.rightsHolderUniv Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
unesp.author.lattes1275652518822095[5]
unesp.author.orcid0000-0003-1662-5745[5]

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