Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1128995
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorDEL CONTE, M. V.
dc.contributor.authorCARNEIRO, P. C. S.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorSILVA, F. L. da
dc.contributor.authorPETERNELLI, L. A.
dc.date.accessioned2021-01-07T09:02:42Z-
dc.date.available2021-01-07T09:02:42Z-
dc.date.created2021-01-06
dc.date.issued2020
dc.identifier.citationPLoS ONE, v. 15, n. 5, e0233290, 2020. 15 p.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1128995-
dc.descriptionPath analysis allows understanding the direct and indirect effects among traits. Multicollinearity in correlation matrices may cause a bias in path analysis estimates. This study aimed to: a) understand the correlation among soybean traits and estimate their direct and indirect effects on gain oil content; b) verify the efficiency of ridge path analysis and trait culling to overcome colinearity. Three different matrices with different levels of collinearity were obtained by trait culling. Ridge path analysis was performed on matrices with strong collinearity; otherwise, a traditional path analysis was performed. The same analyses were run on a simulated dataset. Trait culling was applied to matrix R originating the matrices R1 and R2. Path analysis for matrices R1 and R2 presented a high determination coefficient (0.856 and 0.832, respectively) and low effect of the residual variable (0.379 and 0.410 respectively). Ridge path analysis presented low determination coefficient (0.657) and no direct effects greater than the effects of the residual variable (0.585). Trait culling was more effective to overcome collinearity. Mass of grains, number of nodes, and number of pods are promising for indirect selection for oil content.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectSeed protein
dc.subjectYield
dc.subjectMulticollinearity
dc.subjectCoefficient
dc.subjectComponents
dc.subjectSoftware
dc.subjectMaturity
dc.titleOvercoming collinearity in path analysis of soybean [Glycine max (L.) Merr.] grain oil content.
dc.typeArtigo de periódico
dc.subject.thesagroSoja
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.nalthesaurusPlant breeding
riaa.ainfo.id1128995
riaa.ainfo.lastupdate2021-01-06
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0233290
dc.contributor.institutionMurilo Viotto Del Conte, UFV; Pedro Crescêncio Souza Carneiro, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; Felipe Lopes da Silva, UFV; Luiz Alexandre Peternelli, UFV.
Aparece nas coleções:Artigo em periódico indexado (CNPF)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
Marcos-Deon-pone.0233290.pdf1,28 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace