Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach.

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dc.contributorJENIFFER SANTANA PINTO COELHO EVANGELISTA, UFV; MARCO ANTÔNIO PEIXOTO, UFV; IGOR FERREIRA COELHO, UFV; RODRIGO SILVA ALVES, UFV; FABYANO FONSECA E SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; FELIPE LOPES DA SILVA, UFV; LEONARDO LOPES BHERING, UFV.
dc.creatorEVANGELISTA, J. S. P. C.
dc.creatorPEIXOTO, M. A.
dc.creatorCOELHO, I. F.
dc.creatorALVES, R. S.
dc.creatorSILVA, F. F. e
dc.creatorRESENDE, M. D. V. de
dc.creatorSILVA, F. L. da
dc.creatorBHERING, L. L.
dc.date2022-01-21T01:15:57Z
dc.date2022-01-21T01:15:57Z
dc.date2022-01-20
dc.date2021
dc.date.accessioned2026-07-01T00:27:02Z
dc.descriptionThe genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties in genotypes recommendation. Thus, the objectives of this study were: i) propose the Multi-Environment Index Based on Factor Analysis and Ideotype-Design/Markov Chain Monte Carlo (FAI/MCMC index), and ii) apply it for soybean genotypes recommendation. To this end, a data set with 30 soybean genotypes evaluated in 10 environments for grain yield trait was used. Variance components, genetic parameters and genetic values were estimated through MCMC algorithm. Environmental stratification was conducted by factor analyses and the selection of soybean genotypes was performed using the FAI/MCMC index. The results indicated the existence of genotypic variability and G×E interaction. The environments were grouped into three factors. The predicted genetic gains from indirect selection was 4.81%. Thus, our results suggest that the FAI/MCMC index can be successfully used in soybean breeding.
dc.identifierCrop Breeding and Applied Biotechnology, v. 21, n. 1, e359721111, 2021.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1139213
dc.identifierhttps://doi.org/10.1590/1984-70332021v21n1a11
dc.identifier.urihttp://hdl.handle.net/123456789/404336
dc.languageeng
dc.rightsopenAccess
dc.subjectGenótipo
dc.subjectSoja
dc.subjectGlycine Soja
dc.subjectSeed stratification
dc.subjectGenotype
dc.subjectSoybeans
dc.subjectBayesian theory
dc.titleEnvironmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach.
dc.typeArtigo de periódico

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