Fuzzy logic applied to simultaneous selection of sweet potato genotypes
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | http://dx.doi.org/10.1590/s0102-0536-20220108 http://hdl.handle.net/1843/59704 https://orcid.org/0000-0002-8161-8130 https://orcid.org/0000-0001-5196-0851 https://orcid.org/0000-0001-7854-8111 https://orcid.org/0000-0001-6756-7835 https://orcid.org/0000-0001-6238-1644 https://orcid.org/0000-0002-5010-7725 https://orcid.org/0000-0002-0042-3324 |
Resumo: | The objective of this work was to perform simultaneous selection in sweet potato genotypes and to verify the efficiency of fuzzy systems when compared to the Mulamba & Mock (MM) method. The experiment was carried out in randomized blocks, with 24 sweet potato genotypes, four replications and ten plants per plot. The breeding values were obtained by the mixed model methodology (REML/BLUP), and then the MM index and the gains obtained by the developed fuzzy systems were estimated. There was a predominance of environmental effects over genotypic effects for all traits. These estimates suggest an expressive contribution of the environment for these traits and, consequently, greater difficulty for genetic improvement. Through this, the fuzzy systems stood out in relation to the MM method, as they presented superior selection gains for characters related to human and animal food. The genotypes with potential for human and animal food selected by the fuzzy system were: UFVJM07, UFVJM05, UFVJM09, UFVJM40, UFVJM01, UFVJM25, UFVJM15. The fuzzy logic was efficient in the simultaneous selection of sweet potato genotypes, allowing the selection of plants similar to the desirable ideotype than the MM method. |
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2023-10-19T15:09:48Z2023-10-19T15:09:48Z20224016370http://dx.doi.org/10.1590/s0102-0536-2022010801020536http://hdl.handle.net/1843/59704https://orcid.org/0000-0002-8161-8130https://orcid.org/0000-0001-5196-0851https://orcid.org/0000-0001-7854-8111https://orcid.org/0000-0001-6756-7835https://orcid.org/0000-0001-6238-1644https://orcid.org/0000-0002-5010-7725https://orcid.org/0000-0002-0042-3324The objective of this work was to perform simultaneous selection in sweet potato genotypes and to verify the efficiency of fuzzy systems when compared to the Mulamba & Mock (MM) method. The experiment was carried out in randomized blocks, with 24 sweet potato genotypes, four replications and ten plants per plot. The breeding values were obtained by the mixed model methodology (REML/BLUP), and then the MM index and the gains obtained by the developed fuzzy systems were estimated. There was a predominance of environmental effects over genotypic effects for all traits. These estimates suggest an expressive contribution of the environment for these traits and, consequently, greater difficulty for genetic improvement. Through this, the fuzzy systems stood out in relation to the MM method, as they presented superior selection gains for characters related to human and animal food. The genotypes with potential for human and animal food selected by the fuzzy system were: UFVJM07, UFVJM05, UFVJM09, UFVJM40, UFVJM01, UFVJM25, UFVJM15. The fuzzy logic was efficient in the simultaneous selection of sweet potato genotypes, allowing the selection of plants similar to the desirable ideotype than the MM method.O objetivo deste trabalho foi realizar a seleção simultânea em genótipos de batata-doce e verificar a eficiência de sistemas fuzzy quando comparados ao método Mulamba & Mock (MM). O experimento foi em blocos casualizados, com 24 genótipos de batata-doce, quatro repetições e dez plantas por parcela. Os valores genéticos foram obtidos pela metodologia dos modelos mistos (REML/BLUP), e posteriormente estimados o índice MM e os ganhos obtidos pelos sistemas fuzzy desenvolvidos. Houve predomínio de efeitos ambientais sobre os efeitos genotípicos para todas as características. Essas estimativas sugerem expressiva contribuição do ambiente para esses caracteres e, consequentemente, maior dificuldade para o melhoramento genético. Através disso, os sistemas fuzzy se destacaram em relação ao método de MM, já que apresentaram ganhos de seleção superiores para os caracteres relacionados à alimentação humana e animal. Os genótipos com potencial para alimentação humana e animal selecionados pelo sistema fuzzy foram: UFVJM07, UFVJM05, UFVJM09, UFVJM40, UFVJM01, UFVJM25, UFVJM15. A lógica fuzzy foi eficiente na seleção simultânea de genótipos de batata-doce, permitindo a seleção de plantas semelhantes ao ideótipo desejável do que o método MM.CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorengUniversidade Federal de Minas GeraisUFMGBrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASHorticultura BrasileiraBatata-doceSeleção de plantas -- Melhoramento genéticoInteligência computacionalFuzzy logic applied to simultaneous selection of sweet potato genotypesLógica fuzzy aplicada à seleção simultânea de genótipos de batata-doceinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.scielo.br/j/hb/a/WnfRMz4th7q3pFGxrcvMy9C/?format=pdf&lang=enAna Clara Gonçalves FernandesAlcinei Mistico AzevedoNermy Ribeiro ValadaresClovis Henrique Oliveira RodriguesOrlando Gonçalves BritoValter Carvalho de Andrade JúniorIgnacio Aspiazúinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/59704/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALFuzzy logic is a powerful tool for the automation of milk classification.pdfFuzzy logic is a powerful tool for the automation of milk classification.pdfapplication/pdf418918https://repositorio.ufmg.br/bitstream/1843/59704/2/Fuzzy%20logic%20is%20a%20powerful%20tool%20for%20the%20automation%20of%20milk%20classification.pdf54c856f338bea5b5d2a168fb3ee13aaeMD521843/597042023-10-19 16:32:59.819oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-10-19T19:32:59Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes |
dc.title.alternative.pt_BR.fl_str_mv |
Lógica fuzzy aplicada à seleção simultânea de genótipos de batata-doce |
title |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes |
spellingShingle |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes Ana Clara Gonçalves Fernandes Batata-doce Seleção de plantas -- Melhoramento genético Inteligência computacional |
title_short |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes |
title_full |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes |
title_fullStr |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes |
title_full_unstemmed |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes |
title_sort |
Fuzzy logic applied to simultaneous selection of sweet potato genotypes |
author |
Ana Clara Gonçalves Fernandes |
author_facet |
Ana Clara Gonçalves Fernandes Alcinei Mistico Azevedo Nermy Ribeiro Valadares Clovis Henrique Oliveira Rodrigues Orlando Gonçalves Brito Valter Carvalho de Andrade Júnior Ignacio Aspiazú |
author_role |
author |
author2 |
Alcinei Mistico Azevedo Nermy Ribeiro Valadares Clovis Henrique Oliveira Rodrigues Orlando Gonçalves Brito Valter Carvalho de Andrade Júnior Ignacio Aspiazú |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Ana Clara Gonçalves Fernandes Alcinei Mistico Azevedo Nermy Ribeiro Valadares Clovis Henrique Oliveira Rodrigues Orlando Gonçalves Brito Valter Carvalho de Andrade Júnior Ignacio Aspiazú |
dc.subject.other.pt_BR.fl_str_mv |
Batata-doce Seleção de plantas -- Melhoramento genético Inteligência computacional |
topic |
Batata-doce Seleção de plantas -- Melhoramento genético Inteligência computacional |
description |
The objective of this work was to perform simultaneous selection in sweet potato genotypes and to verify the efficiency of fuzzy systems when compared to the Mulamba & Mock (MM) method. The experiment was carried out in randomized blocks, with 24 sweet potato genotypes, four replications and ten plants per plot. The breeding values were obtained by the mixed model methodology (REML/BLUP), and then the MM index and the gains obtained by the developed fuzzy systems were estimated. There was a predominance of environmental effects over genotypic effects for all traits. These estimates suggest an expressive contribution of the environment for these traits and, consequently, greater difficulty for genetic improvement. Through this, the fuzzy systems stood out in relation to the MM method, as they presented superior selection gains for characters related to human and animal food. The genotypes with potential for human and animal food selected by the fuzzy system were: UFVJM07, UFVJM05, UFVJM09, UFVJM40, UFVJM01, UFVJM25, UFVJM15. The fuzzy logic was efficient in the simultaneous selection of sweet potato genotypes, allowing the selection of plants similar to the desirable ideotype than the MM method. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-10-19T15:09:48Z |
dc.date.available.fl_str_mv |
2023-10-19T15:09:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/59704 |
dc.identifier.doi.pt_BR.fl_str_mv |
http://dx.doi.org/10.1590/s0102-0536-20220108 |
dc.identifier.issn.pt_BR.fl_str_mv |
01020536 |
dc.identifier.orcid.pt_BR.fl_str_mv |
https://orcid.org/0000-0002-8161-8130 https://orcid.org/0000-0001-5196-0851 https://orcid.org/0000-0001-7854-8111 https://orcid.org/0000-0001-6756-7835 https://orcid.org/0000-0001-6238-1644 https://orcid.org/0000-0002-5010-7725 https://orcid.org/0000-0002-0042-3324 |
url |
http://dx.doi.org/10.1590/s0102-0536-20220108 http://hdl.handle.net/1843/59704 https://orcid.org/0000-0002-8161-8130 https://orcid.org/0000-0001-5196-0851 https://orcid.org/0000-0001-7854-8111 https://orcid.org/0000-0001-6756-7835 https://orcid.org/0000-0001-6238-1644 https://orcid.org/0000-0002-5010-7725 https://orcid.org/0000-0002-0042-3324 |
identifier_str_mv |
01020536 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Horticultura Brasileira |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.initials.fl_str_mv |
UFMG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
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Repositório Institucional da UFMG |
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