Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
dARK ID: | ark:/38995/00130000071g5 |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/12569 |
Resumo: | The selection of lines for characters of agronomic interest is done with evaluations in different environments. As the environments are diversified and several lines are evaluated, it is expected that the interaction between genotypes by environments will occur, and that it will play an important role in the manifestation of the phenotype. Adaptability and stability studies have been used in breeding programs to help the selection process where the interaction of genotypes by environments has been reported. The evaluation is based on parameters provided by methodologies and requires the breeder's experience, making it difficult as the number of evaluated genotypes increases. Fuzzy logic stands out for allowing the automation of decision making, and also classifying how much a genotype belongs to each set. The objective of this work was to evaluate the genotypes in terms of adaptability and stability through fuzzy logic, using data on agronomic characters of upland rice from the breeding program of UFG and partners. Eight lines from the UFG breeding program, ten from UFLA and two commercial cultivars were evaluated for grain yield, plant height and number of days to flowering, in VCU trials at six locations in the state of Goiás in four agricultural years, in the 2017/18 to 2020/21 harvests. The trials varied between locations over the years, totaling thirteen environments for grain yield and plant height, and eight environments for number of days to flowering. The design was complete randomized blocks, with three replications, and plots of four lines of 4 meters, spaced by 0.45 meters. The useful area considered was 3 meters from the central lines. The adaptability and stability analyzes considered a fuzzy controller based on the Eberhart and Russell (1966) method, and a hybrid controller, based on the Lin and Binss (1988) methods, modified by Carneiro (1998) and associated with Eberhart and Russell (1966). Both controllers classified the lines into four sets in terms of performance relative to adaptability and stability (general, poorly adapted, favorable environments, unfavorable environments). The CSD 08004 line showed broad adaptability and stability for plant height and grain yeld, in addition to a pertinence value close to classification as adaptability and general stability for the number of days to flowering. Thus, the CSD 08004 line can be recommended for cultivation in the region of the State of Goiás. |
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Melo, Patrícia Guimarães Santoshttp://lattes.cnpq.br/1508679345970114Melo, Patrícia Guimarães SantosRamos, Paulo HenriqueBotelho, Flavia Barbosa Silvahttp://lattes.cnpq.br/5240941431162855Maciel, Douglas de Oliveira2023-01-20T12:38:19Z2023-01-20T12:38:19Z2022-12-05MACIEL, D. O. Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy. 2022. 57 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2022.http://repositorio.bc.ufg.br/tede/handle/tede/12569ark:/38995/00130000071g5The selection of lines for characters of agronomic interest is done with evaluations in different environments. As the environments are diversified and several lines are evaluated, it is expected that the interaction between genotypes by environments will occur, and that it will play an important role in the manifestation of the phenotype. Adaptability and stability studies have been used in breeding programs to help the selection process where the interaction of genotypes by environments has been reported. The evaluation is based on parameters provided by methodologies and requires the breeder's experience, making it difficult as the number of evaluated genotypes increases. Fuzzy logic stands out for allowing the automation of decision making, and also classifying how much a genotype belongs to each set. The objective of this work was to evaluate the genotypes in terms of adaptability and stability through fuzzy logic, using data on agronomic characters of upland rice from the breeding program of UFG and partners. Eight lines from the UFG breeding program, ten from UFLA and two commercial cultivars were evaluated for grain yield, plant height and number of days to flowering, in VCU trials at six locations in the state of Goiás in four agricultural years, in the 2017/18 to 2020/21 harvests. The trials varied between locations over the years, totaling thirteen environments for grain yield and plant height, and eight environments for number of days to flowering. The design was complete randomized blocks, with three replications, and plots of four lines of 4 meters, spaced by 0.45 meters. The useful area considered was 3 meters from the central lines. The adaptability and stability analyzes considered a fuzzy controller based on the Eberhart and Russell (1966) method, and a hybrid controller, based on the Lin and Binss (1988) methods, modified by Carneiro (1998) and associated with Eberhart and Russell (1966). Both controllers classified the lines into four sets in terms of performance relative to adaptability and stability (general, poorly adapted, favorable environments, unfavorable environments). The CSD 08004 line showed broad adaptability and stability for plant height and grain yeld, in addition to a pertinence value close to classification as adaptability and general stability for the number of days to flowering. Thus, the CSD 08004 line can be recommended for cultivation in the region of the State of Goiás.A seleção de linhagens para caracteres de interesse agronômico é feita com avaliações em diferentes ambientes. Como os ambientes são diversificados e avaliam-se várias linhagens, espera-se a ocorrência da interação genótipos por ambientes, e que a mesma tenha papel importante na manifestação do fenótipo. Estudos de adaptabilidade e estabilidade têm sido empregados em programas de melhoramento visando auxiliar o processo de seleção onde a interação de genótipos por ambientes tem sido relatada. A avaliação é baseada em parâmetros fornecidos por metodologias e requer experiência do melhorista, dificultando-a conforme se aumenta o número de genótipos avaliados. A lógica fuzzy destaca-se por permitir a automação da tomada de decisão, e ainda classificar o quanto um genótipo pertence a cada conjunto. O objetivo deste trabalho foi avaliar os genótipos quanto à adaptabilidade e estabilidade por meio da lógica fuzzy, utilizando dados de caracteres agronômicos de arroz de terras altas do programa de melhoramento da UFG e parceiros. Oito linhagens do programa de melhoramento da UFG, dez provenientes da UFLA e duas cultivares comerciais foram avaliadas para os caracteres produtividade de grãos, altura de plantas e número de dias para o florescimento, em ensaios de VCUs em seis locais no estado de Goiás em quatro anos agrícolas, nas safras 2017/18 a 2020/21. Os ensaios variaram entre os locais ao longo dos anos, totalizando treze ambientes para produtividade de grãos e altura de plantas, e oito ambientes para número de dias para o florescimento. O delineamento foi o de blocos completos casualizados, com três repetições, e parcelas de quatro linhas de 4 metros, espaçadas por 0,45 metros. A área útil considerada foi 3 metros das linhas centrais. As análises de adaptabilidade e estabilidade consideraram um controlador fuzzy baseado no método de Eberhart e Russell (1966), e um controlador híbrido, baseado nos métodos Lin e Binss (1988), modificado por Carneiro (1998) e associado com Eberhart e Russell (1966). Ambos controladores classificaram os as linhagens em quatro conjuntos quanto ao desempenho relativo à adaptabilidade e estabilidade (geral, pouco adaptada, ambientes favoráveis, ambientes desfavoráveis). A linhagem CSD 08004 apresentou adaptabilidade e estabilidade ampla para altura de plantas e produtividade, além de valor de pertinência próximo a classificação como de adaptabilidade e estabilidade geral para o número de dias para o florescimento. Assim a linhagem CSD 08004 pode ser recomendada para cultivo na região do Estado de Goiás.Submitted by Dayane Basílio (dayanebasilio@ufg.br) on 2023-01-19T16:27:40Z No. of bitstreams: 2 Dissertação - Douglas de Oliveira Maciel - 2022.pdf: 2471478 bytes, checksum: ccd8f1c76891fbdeb8fef535f91d265d (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2023-01-20T12:38:19Z (GMT) No. of bitstreams: 2 Dissertação - Douglas de Oliveira Maciel - 2022.pdf: 2471478 bytes, checksum: ccd8f1c76891fbdeb8fef535f91d265d (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Made available in DSpace on 2023-01-20T12:38:19Z (GMT). No. of bitstreams: 2 Dissertação - Douglas de Oliveira Maciel - 2022.pdf: 2471478 bytes, checksum: ccd8f1c76891fbdeb8fef535f91d265d (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Previous issue date: 2022-12-05Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de GoiásPrograma de Pós-graduação em Genética e Melhoramento de Plantas (EA)UFGBrasilEscola de Agronomia - EA (RMG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessRecomendação de linhagensOryza sativaGenótiposLógica difusaLines recommendationOryza sativaGenotypesFuzzy logicCIENCIAS AGRARIAS::AGRONOMIA::FITOSSANIDADEAdaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzyAdaptability and stability of upland rice lines using fuzzy logicinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis605005005005002221reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/f4e83cc9-2cb0-4af1-8f19-4b055d9191db/download8a4605be74aa9ea9d79846c1fba20a33MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/0b24fa1f-7b7a-4997-9da8-b81b7d4ed0d2/download4460e5956bc1d1639be9ae6146a50347MD52ORIGINALDissertação - Douglas de Oliveira Maciel - 2022.pdfDissertação - Douglas de Oliveira Maciel - 2022.pdfapplication/pdf2471478http://repositorio.bc.ufg.br/tede/bitstreams/1e18f03d-03bc-45b2-8d0d-cce3fc5e88b9/downloadccd8f1c76891fbdeb8fef535f91d265dMD53tede/125692023-01-20 09:41:43.74http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/12569http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2023-01-20T12:41:43Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.pt_BR.fl_str_mv |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy |
dc.title.alternative.eng.fl_str_mv |
Adaptability and stability of upland rice lines using fuzzy logic |
title |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy |
spellingShingle |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy Maciel, Douglas de Oliveira Recomendação de linhagens Oryza sativa Genótipos Lógica difusa Lines recommendation Oryza sativa Genotypes Fuzzy logic CIENCIAS AGRARIAS::AGRONOMIA::FITOSSANIDADE |
title_short |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy |
title_full |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy |
title_fullStr |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy |
title_full_unstemmed |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy |
title_sort |
Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy |
author |
Maciel, Douglas de Oliveira |
author_facet |
Maciel, Douglas de Oliveira |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Melo, Patrícia Guimarães Santos |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/1508679345970114 |
dc.contributor.referee1.fl_str_mv |
Melo, Patrícia Guimarães Santos |
dc.contributor.referee2.fl_str_mv |
Ramos, Paulo Henrique |
dc.contributor.referee3.fl_str_mv |
Botelho, Flavia Barbosa Silva |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5240941431162855 |
dc.contributor.author.fl_str_mv |
Maciel, Douglas de Oliveira |
contributor_str_mv |
Melo, Patrícia Guimarães Santos Melo, Patrícia Guimarães Santos Ramos, Paulo Henrique Botelho, Flavia Barbosa Silva |
dc.subject.por.fl_str_mv |
Recomendação de linhagens Oryza sativa Genótipos Lógica difusa |
topic |
Recomendação de linhagens Oryza sativa Genótipos Lógica difusa Lines recommendation Oryza sativa Genotypes Fuzzy logic CIENCIAS AGRARIAS::AGRONOMIA::FITOSSANIDADE |
dc.subject.eng.fl_str_mv |
Lines recommendation Oryza sativa Genotypes Fuzzy logic |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::AGRONOMIA::FITOSSANIDADE |
description |
The selection of lines for characters of agronomic interest is done with evaluations in different environments. As the environments are diversified and several lines are evaluated, it is expected that the interaction between genotypes by environments will occur, and that it will play an important role in the manifestation of the phenotype. Adaptability and stability studies have been used in breeding programs to help the selection process where the interaction of genotypes by environments has been reported. The evaluation is based on parameters provided by methodologies and requires the breeder's experience, making it difficult as the number of evaluated genotypes increases. Fuzzy logic stands out for allowing the automation of decision making, and also classifying how much a genotype belongs to each set. The objective of this work was to evaluate the genotypes in terms of adaptability and stability through fuzzy logic, using data on agronomic characters of upland rice from the breeding program of UFG and partners. Eight lines from the UFG breeding program, ten from UFLA and two commercial cultivars were evaluated for grain yield, plant height and number of days to flowering, in VCU trials at six locations in the state of Goiás in four agricultural years, in the 2017/18 to 2020/21 harvests. The trials varied between locations over the years, totaling thirteen environments for grain yield and plant height, and eight environments for number of days to flowering. The design was complete randomized blocks, with three replications, and plots of four lines of 4 meters, spaced by 0.45 meters. The useful area considered was 3 meters from the central lines. The adaptability and stability analyzes considered a fuzzy controller based on the Eberhart and Russell (1966) method, and a hybrid controller, based on the Lin and Binss (1988) methods, modified by Carneiro (1998) and associated with Eberhart and Russell (1966). Both controllers classified the lines into four sets in terms of performance relative to adaptability and stability (general, poorly adapted, favorable environments, unfavorable environments). The CSD 08004 line showed broad adaptability and stability for plant height and grain yeld, in addition to a pertinence value close to classification as adaptability and general stability for the number of days to flowering. Thus, the CSD 08004 line can be recommended for cultivation in the region of the State of Goiás. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022-12-05 |
dc.date.accessioned.fl_str_mv |
2023-01-20T12:38:19Z |
dc.date.available.fl_str_mv |
2023-01-20T12:38:19Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
MACIEL, D. O. Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy. 2022. 57 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2022. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/12569 |
dc.identifier.dark.fl_str_mv |
ark:/38995/00130000071g5 |
identifier_str_mv |
MACIEL, D. O. Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy. 2022. 57 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2022. ark:/38995/00130000071g5 |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/12569 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
60 |
dc.relation.confidence.fl_str_mv |
500 500 500 500 |
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2 |
dc.relation.cnpq.fl_str_mv |
22 |
dc.relation.sponsorship.fl_str_mv |
1 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Genética e Melhoramento de Plantas (EA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia - EA (RMG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
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