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dc.contributor.authorSILVA JUNIOR, A. C. da
dc.contributor.authorMOURA, W. de M.
dc.contributor.authorSOARES, L. G.
dc.contributor.authorSANT'ANNA ANDRADE, H. S.
dc.contributor.authorVERDIN FILHO, A. C.
dc.contributor.authorFERRÃO, M. A. G.
dc.contributor.authorCECON, P. R.
dc.contributor.otherAntônio Carlos da Silva Júnior, EPAMIG Sudeste; Waldênia de Melo Moura, EPAMIG Sudeste; Luciana Gomes Soares, EPAMIG Sudeste; Hugo Sebastião Sant?Anna Andrade, EPAMIG Sudeste; Abraão Carlos Verdin Filho, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Paulo Roberto Cecon, UFV.
dc.date.accessioned2026-10-05T12:10:48Z-
dc.date.available2026-10-05T12:10:48Z-
dc.date.created2026
dc.date.issued2026-10-05
dc.identifier.other27481
dc.identifier.urihttp://biblioteca.incaper.es.gov.br/digital/handle/item/5404-
dc.descriptionThe purpose of this study was to evaluate the efficiency of using fuzzy controllers as auxiliary tools for different adaptability and stability methods aiming at the selection of conilon coffee clones. Thirty-six conilon coffee clones were evaluated for grain yield (bag ha-1), within seven harvests (2018 to 2024). Adaptability and stability were evaluated using the hybrid fuzzy controller (Eberhart & Russell, 1966; Cruz et al., 1989; Annicchiarico, 1992). There was significance for the effects of crops, clones, and clone by crop interaction. The Eberhart & Russell method classified clones 3, 16, 24, and 33 as having general adaptability, and 32 and 36 as having adaptability to unfavorable environments. In the Annicchiarico method (1992), clones 4, 10, 24, and 26 were classified as general behavior. Clones 2 and 8 show high adaptability to adverse environments, while clones 10, 23, and 29 excel in favorable conditions. By Cruz et al. (1989), clones 28 and 31 did not correspond to any classification through this controller. In this methodology, clone 29 presented the highest stability index. The use of these methodologies is a viable alternative for the classification of clones. The differentiated behavior of clones is influenced by environmental conditions, which justifies the use of different adaptability and stability methodologies. The use of fuzzy controllers in the recommendation of conilon coffee clones is a useful and promising tool in plant breeding programs. Clones 2 and 8 showed high adaptability to adverse environments, while clones 10, 23, and 29 excelled in favorable conditions.
dc.description.uriconilon.pdf
dc.language.isoen
dc.publisherActa Scientiarum. Agronomy, v. 48, e77731, 2026.
dc.subjectCafé Conilon
dc.titleApplication of fuzzy logic for adaptability and stability studies in conilon coffee clones in an agroecological system in the Zona da Mata of Minas Gerais State, Brazil.
dc.type--
dc.ainfo.id27200
dc.ainfo.lastupdate2026-10-05
dc.ainfo.depositanteCarga Automática
dc.subject.thesagroCafeicultura
dc.subject.thesagroCafé
dc.subject.thesagroCoffea Canephora
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