Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano
Ano de defesa: | 2022 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , , |
Tipo de documento: | Tese |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Melhoramento Genético de Plantas
|
Departamento: |
Departamento de Agronomia
|
País: |
Brasil
|
Palavras-chave em Português: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9501 |
Resumo: | The common bean is an important source of protein in human food and show relevant socioeconomic value in Brazil, which has a preference for the commercial carioca type. In the Agreste-Sertão pernambucano, its cultivation is carried out in several municipalities, with different edaphoclimatic conditions, which influence productivity. To minimize the effects of interaction, breeders seek to identify adaptable and stable genotypes, and the selection of the adaptability and stability assessment methodology must be done in the most appropriate way to ensure effective data analysis. The objective of this work was to compare the methodologies of Eberhart & Russel, Linn & Binns modified by Carneiro, and Additive Main Effects and Multiplicative Interaction Analysis (AMMI), identifying the most efficient in the simultaneous selection of productive, adapted and stable carioca bean pre-cultivars and then to confront the frequentist and bayesian versions of AMMI analysis, to assess the predictive power. Ten pre-cultivars and four commercial were used, with a randomized block design and three replications. Grain yield was evaluated in the years of 2014 and 2015. Initially, adaptability and stability were estimated using the techniques of Eberhart & Russell, Lin & Binns modified by Carneiro and AMMI, which were then compared using the Spearman correlation. Subsequently, random imbalances were performed on the data (10% and 20% loss) and analyzes were performed with the classic AMMI and the Bayesian AMMI (BAMMI), using the EM (expectation-maximization) algorithm to impute the missing data in the classic analysis. Finally, to assess the predictive power of the proposed models, cross-validation was performed using the correlation between predicted and observed values (Cor), Spearman's Correlation (CorS) and PRESS (Prediction Error Sum Square). No correlation was observed between Eberhart & Russell and Lin & Binns. The AMMI is the most complete frequentist method for isolated use, however, BAMMI showed a better predictive capacity, as well as better performance in the study of adaptability and stability. The BAMMI shows flexibility to deal with data resulting from multi-environmental experiments, overcoming limitations of the standard analysis of the AMMI model. |
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SILVA, José Wilson daOLIVEIRA, Luciano Antonio deNASCIMENTO, Maxwel RodriguesSANTOS, Paulo Ricardo dosGONÇALVES, Ranoel José de Sousahttp://lattes.cnpq.br/4009434592734217MELO, Gérsia Gonçalves de2024-02-15T21:19:02Z2022-06-30MELO, Gérsia Gonçalves de. Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano. 2022. 78 f. Tese (Programa de Pós-Graduação em Melhoramento Genético de Plantas) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9501The common bean is an important source of protein in human food and show relevant socioeconomic value in Brazil, which has a preference for the commercial carioca type. In the Agreste-Sertão pernambucano, its cultivation is carried out in several municipalities, with different edaphoclimatic conditions, which influence productivity. To minimize the effects of interaction, breeders seek to identify adaptable and stable genotypes, and the selection of the adaptability and stability assessment methodology must be done in the most appropriate way to ensure effective data analysis. The objective of this work was to compare the methodologies of Eberhart & Russel, Linn & Binns modified by Carneiro, and Additive Main Effects and Multiplicative Interaction Analysis (AMMI), identifying the most efficient in the simultaneous selection of productive, adapted and stable carioca bean pre-cultivars and then to confront the frequentist and bayesian versions of AMMI analysis, to assess the predictive power. Ten pre-cultivars and four commercial were used, with a randomized block design and three replications. Grain yield was evaluated in the years of 2014 and 2015. Initially, adaptability and stability were estimated using the techniques of Eberhart & Russell, Lin & Binns modified by Carneiro and AMMI, which were then compared using the Spearman correlation. Subsequently, random imbalances were performed on the data (10% and 20% loss) and analyzes were performed with the classic AMMI and the Bayesian AMMI (BAMMI), using the EM (expectation-maximization) algorithm to impute the missing data in the classic analysis. Finally, to assess the predictive power of the proposed models, cross-validation was performed using the correlation between predicted and observed values (Cor), Spearman's Correlation (CorS) and PRESS (Prediction Error Sum Square). No correlation was observed between Eberhart & Russell and Lin & Binns. The AMMI is the most complete frequentist method for isolated use, however, BAMMI showed a better predictive capacity, as well as better performance in the study of adaptability and stability. The BAMMI shows flexibility to deal with data resulting from multi-environmental experiments, overcoming limitations of the standard analysis of the AMMI model.O feijão comum é uma importante fonte de proteínas e apresenta relevante valor socioeconômico no Brasil, que possui preferência pelo tipo comercial carioca. No Agreste-Sertão pernambucano, seu cultivo é feito em vários municípios, com diversas condições edafoclimáticas, que influenciam na produtividade. Para minimizar os efeitos da interação, os melhoristas buscam identificar genótipos adaptáveis e estáveis, e a escolha da metodologia de avaliação da adaptabilidade e estabilidade deve ser feita da forma mais adequada para garantir efetiva análise dos dados. O objetivo desse trabalho foi comparar as metodologias de Eberhart & Russel, Linn & Binns modificado por Carneiro e Additive Main Effects and Multiplicative Interaction Analysis (AMMI), identificando a mais eficiente na seleção simultânea de pré-cultivares de feijão carioca produtivas, adaptadas e estáveis e, por conseguinte, confrontar as versões frequentista e bayesiana da análise AMMI, para avaliação do poder preditivo. Foram utilizadas dez pré-cultivares e quatro testemunhas, em delineamento de blocos casualizados com três repetições. A produtividade de grãos foi avaliada nos anos de 2014 e 2015. Inicialmente, a adaptabilidade e estabilidade foram estimadas pelos métodos de Eberhart & Russell, Lin & Binns modicado por Carneiro e AMMI, que em sequência foram comparadas por meio da correlação de Spearman. Posteriormente, foram realizados desbalanceamentos aleatórios nos dados (10% e 20% de perda) e executadas análises com o AMMI clássico e o AMMI bayesiano (BAMMI), sendo utilizado o algoritmo EM (expectation-maximization) para imputar os dados faltantes na análise clássica. Por fim, para avaliar o poder preditivo dos modelos propostos, foi feita validação cruzada usando a correlação entre valores preditos e observados (Cor), Correlação de Spearman (CorS) e PRESS (Prediction Error Sum Square). Foi observada ausência de correlação entre Eberhart & Russell e Lin & Binns. O AMMI é o método frequentista mais completo para uso isolado, entretanto, BAMMI apresentou melhor capacidade preditiva, bem como melhor desempenho no estudo da adaptabilidade e estabilidade. O BAMMI apresenta flexibilidade para lidar com dados resultantes de experimentos multiambientais, superando limitações da análise padrão do modelo AMMI.Submitted by (ana.araujo@ufrpe.br) on 2024-02-15T21:19:02Z No. of bitstreams: 1 Gersia Goncalves de Melo.pdf: 1023925 bytes, checksum: fe5f0721b34891e982e5af2ff60194b3 (MD5)Made available in DSpace on 2024-02-15T21:19:02Z (GMT). No. of bitstreams: 1 Gersia Goncalves de Melo.pdf: 1023925 bytes, checksum: fe5f0721b34891e982e5af2ff60194b3 (MD5) Previous issue date: 2022-06-30Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Melhoramento Genético de PlantasUFRPEBrasilDepartamento de AgronomiaFeijãoPhaseolus vulgarisInteração genótipo x ambienteMelhoramento genéticoFITOTECNIA::MELHORAMENTO VEGETALAdaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucanoAdaptability and stability of carioca bean pre-cultivars in agreste-sertão pernambucanoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis-6234655866848882505600600600600-680055387997222920526156072994701319672075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALGersia Goncalves de Melo.pdfGersia Goncalves de Melo.pdfapplication/pdf1023925http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9501/2/Gersia+Goncalves+de+Melo.pdffe5f0721b34891e982e5af2ff60194b3MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9501/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/95012024-02-15 18:19:02.609oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-02-15T21:19:02Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano |
dc.title.alternative.eng.fl_str_mv |
Adaptability and stability of carioca bean pre-cultivars in agreste-sertão pernambucano |
title |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano |
spellingShingle |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano MELO, Gérsia Gonçalves de Feijão Phaseolus vulgaris Interação genótipo x ambiente Melhoramento genético FITOTECNIA::MELHORAMENTO VEGETAL |
title_short |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano |
title_full |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano |
title_fullStr |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano |
title_full_unstemmed |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano |
title_sort |
Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano |
author |
MELO, Gérsia Gonçalves de |
author_facet |
MELO, Gérsia Gonçalves de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
SILVA, José Wilson da |
dc.contributor.referee1.fl_str_mv |
OLIVEIRA, Luciano Antonio de |
dc.contributor.referee2.fl_str_mv |
NASCIMENTO, Maxwel Rodrigues |
dc.contributor.referee3.fl_str_mv |
SANTOS, Paulo Ricardo dos |
dc.contributor.referee4.fl_str_mv |
GONÇALVES, Ranoel José de Sousa |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4009434592734217 |
dc.contributor.author.fl_str_mv |
MELO, Gérsia Gonçalves de |
contributor_str_mv |
SILVA, José Wilson da OLIVEIRA, Luciano Antonio de NASCIMENTO, Maxwel Rodrigues SANTOS, Paulo Ricardo dos GONÇALVES, Ranoel José de Sousa |
dc.subject.por.fl_str_mv |
Feijão Phaseolus vulgaris Interação genótipo x ambiente Melhoramento genético |
topic |
Feijão Phaseolus vulgaris Interação genótipo x ambiente Melhoramento genético FITOTECNIA::MELHORAMENTO VEGETAL |
dc.subject.cnpq.fl_str_mv |
FITOTECNIA::MELHORAMENTO VEGETAL |
description |
The common bean is an important source of protein in human food and show relevant socioeconomic value in Brazil, which has a preference for the commercial carioca type. In the Agreste-Sertão pernambucano, its cultivation is carried out in several municipalities, with different edaphoclimatic conditions, which influence productivity. To minimize the effects of interaction, breeders seek to identify adaptable and stable genotypes, and the selection of the adaptability and stability assessment methodology must be done in the most appropriate way to ensure effective data analysis. The objective of this work was to compare the methodologies of Eberhart & Russel, Linn & Binns modified by Carneiro, and Additive Main Effects and Multiplicative Interaction Analysis (AMMI), identifying the most efficient in the simultaneous selection of productive, adapted and stable carioca bean pre-cultivars and then to confront the frequentist and bayesian versions of AMMI analysis, to assess the predictive power. Ten pre-cultivars and four commercial were used, with a randomized block design and three replications. Grain yield was evaluated in the years of 2014 and 2015. Initially, adaptability and stability were estimated using the techniques of Eberhart & Russell, Lin & Binns modified by Carneiro and AMMI, which were then compared using the Spearman correlation. Subsequently, random imbalances were performed on the data (10% and 20% loss) and analyzes were performed with the classic AMMI and the Bayesian AMMI (BAMMI), using the EM (expectation-maximization) algorithm to impute the missing data in the classic analysis. Finally, to assess the predictive power of the proposed models, cross-validation was performed using the correlation between predicted and observed values (Cor), Spearman's Correlation (CorS) and PRESS (Prediction Error Sum Square). No correlation was observed between Eberhart & Russell and Lin & Binns. The AMMI is the most complete frequentist method for isolated use, however, BAMMI showed a better predictive capacity, as well as better performance in the study of adaptability and stability. The BAMMI shows flexibility to deal with data resulting from multi-environmental experiments, overcoming limitations of the standard analysis of the AMMI model. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022-06-30 |
dc.date.accessioned.fl_str_mv |
2024-02-15T21:19:02Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
MELO, Gérsia Gonçalves de. Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano. 2022. 78 f. Tese (Programa de Pós-Graduação em Melhoramento Genético de Plantas) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9501 |
identifier_str_mv |
MELO, Gérsia Gonçalves de. Adaptabilidade e estabilidade de pré-cultivares de feijão carioca no Agreste-Sertão pernambucano. 2022. 78 f. Tese (Programa de Pós-Graduação em Melhoramento Genético de Plantas) - Universidade Federal Rural de Pernambuco, Recife. |
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http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9501 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Federal Rural de Pernambuco |
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Programa de Pós-Graduação em Melhoramento Genético de Plantas |
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UFRPE |
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Universidade Federal Rural de Pernambuco |
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