Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/58174
Registro completo de metadados
Campo DCValorIdioma
dc.creatorCarneiro, Vinícius Quintão-
dc.creatorMencalha, Jussara-
dc.creatorSant’anna, Isabela de Castro-
dc.creatorSilva, Gabi Nunes-
dc.creatorMiguel, Júlio Augusto de Castro-
dc.creatorCarneiro, Pedro Crescêncio Souza-
dc.creatorNascimento, Moysés-
dc.creatorCruz, Cosme Damião-
dc.date.accessioned2023-07-21T16:34:01Z-
dc.date.available2023-07-21T16:34:01Z-
dc.date.issued2023-
dc.identifier.citationCARNEIRO, V. Q. et al. A novel fuzzy approach to identify the phenotypic adaptability of common bean lines. Acta Scientiarum. Agronomy, Santa Maria, v. 45, 2023.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/58174-
dc.description.abstractThe genotype by environment interaction is the main factor that influences the response of evaluated genotypes in trials of value for cultivation and use. Adaptability and stability analyses are fundamental to understanding the performance of genotypes in a growing region. Some of these methodologies incorporate previous information for recommending an extra group of genotypes denominated as specific ideotypes under certain cultivation conditions. Based on this strategy, the centroid method and its modifications have been widely used due to the simplicity of classification of the evaluated genotypes. However, these methodologies present problems in identifying adaptability patterns of some genotypes. Artificial intelligence techniques, such as fuzzy C-means, can be an alternative to reduce these difficulties, since they use, in addition to distance information between genotypes, memberships (measures quantifying how much an observation belongs to a particular class) to increase discriminatory power. Therefore, our aim was to propose and evaluate the phenotypic adaptability method by fuzzy clustering to assist cultivar recommendations. The adaptation of the fuzzy C-Means method to classify the genotypes was implemented in BioFuzzy software. The grain yield data of black common bean genotypes were used to evaluate the potential of the method. The results obtained by this method were compared with those obtained by the centroid method. The phenotypic adaptability method by fuzzy clustering was effective in identifying the adaptability patterns of common bean genotypes. Moreover, the discriminatory power was higher than that observed with the centroid method.pt_BR
dc.languageen_USpt_BR
dc.publisherUniversidade Estadual de Maringápt_BR
dc.rightsacesso abertopt_BR
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceActa Scientiarum. Agronomypt_BR
dc.subjectArtificial intelligencept_BR
dc.subjectFuzzy logicpt_BR
dc.subjectPlant breedingpt_BR
dc.titleA novel fuzzy approach to identify the phenotypic adaptability of common bean linespt_BR
dc.typeArtigopt_BR
Aparece nas coleções:DBI - Artigos publicados em periódicos

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
ARTIGO_A novel fuzzy approach to identify the phenotypic adaptability.pdf399,9 kBAdobe PDFVisualizar/Abrir


Este item está licenciada sob uma Licença Creative Commons Creative Commons