Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1169026
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dc.contributor.authorSOUZA, A. G. de
dc.contributor.authorDAHER, R. F.
dc.contributor.authorNASCIMENTO, M. R.
dc.contributor.authorSOUZA FILHO, B. F. de
dc.contributor.authorMELO, L. C.
dc.contributor.authorGRAVINA, G. de A.
dc.contributor.authorAMBRÓSIO, M.
dc.contributor.authorSANTANA, J. G. S.
dc.contributor.authorVIDAL, A. K. F.
dc.contributor.authorSANTOS, R. M.
dc.contributor.authorLEITE, C. L.
dc.contributor.authorFARIAS, J. E. C.
dc.contributor.authorFREITAS, R. de S.
dc.contributor.authorROCHA, R. S.
dc.date.accessioned2024-11-11T16:53:32Z-
dc.date.available2024-11-11T16:53:32Z-
dc.date.created2024-11-11
dc.date.issued2025
dc.identifier.citationCiência Rural, v. 55, e20230069, 2025.
dc.identifier.issn1678-4596
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1169026-
dc.descriptionThe study of adaptability, stability, and productivity is essential for selecting and recommending superior genotypes. This fact is particularly the case for the introduction of common bean cultivars in Rio de Janeiro, Brazil, whose production is negligible and does not meet the internal demand. Thus, this study estimated genetic parameters and selection gains and undertake a simultaneous selection for adaptability, stability, and productivity in black bean genotypes via mixed models. The investigation was carried out in three municipalities in the state of Rio de Janeiro during three crop years. The trials were set up in a randomized block design with 11 genotypes and three replications. High mean heritability (81%) and selection accuracy (90%), as well as good selection prospects, were observed. Gains between 1.03 and 9.49% were achieved for grain yield. Simultaneous selection was efficient, indicating two black bean lines (CNFP 15290 and CNFP 15361) as the most productive, adaptable, and stable. As such, these lines have the potential to be released as new black bean cultivars for the state of Rio de Janeiro.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectGenetic gain
dc.subjectRio de Janeiro
dc.subjectHMRPGV
dc.subjectREML/BLUP
dc.titleBlack bean genotypes for adaptability, stability, and productivity via mixed models for the state of Rio de Janeiro, Brazil.
dc.typeArtigo de periódico
dc.subject.thesagroPhaseolus Vulgaris
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.thesagroFeijão Preto
dc.subject.thesagroParâmetro Genético
dc.subject.nalthesaurusPlant genetics
dc.subject.nalthesaurusBlack beans
dc.subject.nalthesaurusGenetic stability
dc.subject.nalthesaurusModels
riaa.ainfo.id1169026
riaa.ainfo.lastupdate2024-11-11
dc.identifier.doihttp://doi.org/10.1590/0103-8478cr20230069
dc.contributor.institutionALEXANDRE GOMES DE SOUZA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; ROGÉRIO FIGUEIREDO DAHER, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; MAXWEL RODRIGUES NASCIMENTO, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; BENEDITO FERNANDES DE SOUZA FILHO, EMPRESA DE PESQUISA AGROPECUÁRIA DO ESTADO DO RIO DE JANEIRO; LEONARDO CUNHA MELO, CNPAF; GERALDO DE AMARAL GRAVINA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; MOISES AMBROSIO, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; JOSEFA GRASIELA SILVA SANTANA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; ANA KESIA FARIA VIDAL, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; RAIANE MARIANI SANTOS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; CLEUDIANE LOPES LEITE, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; JOÃO ESDRAS CALAÇA FARIAS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; RAFAEL DE SOUZA FREITAS, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO; RICHARDSON SALES ROCHA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO.
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