Incorporating a dynamic gene-based module process module into a crop simulation model

Detalhes bibliográficos
Autor(a) principal: Oliveira, Fabio Augusto Antunes de
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca de teses e dissertações da Universidade de Passo Fundo (BDTD UPF)
Texto Completo: http://tede.upf.br:8080/jspui/handle/tede/2114
Resumo: Crop simulation models uses parameters referred as genotype-specific parameters (GSPs) to represent plant characteristics (phenotype) under specific environments. GSPs do not refer to “true” genetic information based on a gene level and are estimated from data observed in the field and require experiments to measure phenotypic response when new cultivars are released. Gene-based models offer the potential to quantify and identify the phenotype from the plant's genetic composition (genotype). This work proposes an approach for incorporates a dynamic gene-based module for simulating time-to-flowering for common bean (Phaseolus vulgaris L.). This new approach aims to work in a hybrid mode for simulating using quantitative trait loci (QTLs) or GSPs for genetic (G), environment (E), and G × E interactions, and demonstrate potential applications using sensitivity analysis and for simulating yield.
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spelling Pavan, Willingthon59879521072http://lattes.cnpq.br/650697380106876403693733082http://lattes.cnpq.br/3960274989807927Oliveira, Fabio Augusto Antunes de2021-11-16T19:54:23Z2021-03-31OLIVEIRA, Fabio Augusto Antunes de. Incorporating a dynamic gene-based module process module into a crop simulation model. 2021. 67 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2021.http://tede.upf.br:8080/jspui/handle/tede/2114Crop simulation models uses parameters referred as genotype-specific parameters (GSPs) to represent plant characteristics (phenotype) under specific environments. GSPs do not refer to “true” genetic information based on a gene level and are estimated from data observed in the field and require experiments to measure phenotypic response when new cultivars are released. Gene-based models offer the potential to quantify and identify the phenotype from the plant's genetic composition (genotype). This work proposes an approach for incorporates a dynamic gene-based module for simulating time-to-flowering for common bean (Phaseolus vulgaris L.). This new approach aims to work in a hybrid mode for simulating using quantitative trait loci (QTLs) or GSPs for genetic (G), environment (E), and G × E interactions, and demonstrate potential applications using sensitivity analysis and for simulating yield.Os modelos de culturas usam parâmetros chamados como coeficientes genéticos (CGs) para representar as características da planta (fenótipo) em ambientes específicos. CGs não se referem as informações genéticas "verdadeiras" com base em um nível de gene e são estimados a partir de dados observados no campo, requerendo experimentos para medir a resposta fenotípica quando novos cultivares são lançados. Modelos baseados em genes oferecem o potencial para quantificar e identificar o fenótipo a partir da composição genética da planta (genótipo). Este trabalho propõe uma abordagem para a incorporação de um módulo dinâmico baseado em genes para simular o tempo de florescimento do feijão (Phaseolus vulgaris L.). Esta nova abordagem visa trabalhar em um modo híbrido para simular usando locús de característica quantitativa (LCQ) ou CGs para interações genéticas (G), ambientais (E) e G × E e demonstrar aplicações potenciais usando análise de sensibilidade e para simulação de rendimento.Submitted by Aline Rezende (alinerezende@upf.br) on 2021-11-16T19:54:23Z No. of bitstreams: 1 2021FabioAugustoAntunesOliveira.pdf: 5461615 bytes, checksum: 8434503b22d7f08cab05162b70e982ff (MD5)Made available in DSpace on 2021-11-16T19:54:23Z (GMT). No. of bitstreams: 1 2021FabioAugustoAntunesOliveira.pdf: 5461615 bytes, checksum: 8434503b22d7f08cab05162b70e982ff (MD5) Previous issue date: 2021-03-31application/pdfporUniversidade de Passo FundoPrograma de Pós-Graduação em Computação AplicadaUPFBrasilInstituto de Ciências Exatas e Geociências – ICEGInformática na agriculturaMétodos de simulaçãoFeijãoEngenharia de softwareCultivos agrícolas - RendimentoMATEMATICA DA COMPUTACAO::MODELOS ANALITICOS E DE SIMULACAOIncorporating a dynamic gene-based module process module into a crop simulation modelIncorporando um módulo de processo de módulo baseado em gene dinâmico em um modelo de simulação de safrainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-7092656760026548265005006006106726493421058626-352081053288549534info:eu-repo/semantics/openAccessreponame:Biblioteca de teses e dissertações da Universidade de Passo Fundo (BDTD UPF)instname:Universidade de Passo Fundo (UPF)instacron:UPFORIGINAL2021FabioAugustoAntunesOliveira.pdf2021FabioAugustoAntunesOliveira.pdfapplication/pdf5461615http://tede.upf.br:8080/jspui/bitstream/tede/2114/2/2021FabioAugustoAntunesOliveira.pdf8434503b22d7f08cab05162b70e982ffMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82053http://tede.upf.br:8080/jspui/bitstream/tede/2114/1/license.txt1ea0bfd7af108792edd8df732bb777fcMD51tede/21142021-11-16 17:54:23.285oai:tede.upf.br: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Biblioteca Digital de Teses e DissertaçõesPUBhttp://tede.upf.br/oai/requestbiblio@upf.br || bio@upf.br || cas@upf.br || car@upf.br || lve@upf.br || sar@upf.br || sol@upf.br || upfmundi@upf.br || jucelei@upf.bropendoar:2021-11-16T19:54:23Biblioteca de teses e dissertações da Universidade de Passo Fundo (BDTD UPF) - Universidade de Passo Fundo (UPF)false
dc.title.por.fl_str_mv Incorporating a dynamic gene-based module process module into a crop simulation model
dc.title.alternative.eng.fl_str_mv Incorporando um módulo de processo de módulo baseado em gene dinâmico em um modelo de simulação de safra
title Incorporating a dynamic gene-based module process module into a crop simulation model
spellingShingle Incorporating a dynamic gene-based module process module into a crop simulation model
Oliveira, Fabio Augusto Antunes de
Informática na agricultura
Métodos de simulação
Feijão
Engenharia de software
Cultivos agrícolas - Rendimento
MATEMATICA DA COMPUTACAO::MODELOS ANALITICOS E DE SIMULACAO
title_short Incorporating a dynamic gene-based module process module into a crop simulation model
title_full Incorporating a dynamic gene-based module process module into a crop simulation model
title_fullStr Incorporating a dynamic gene-based module process module into a crop simulation model
title_full_unstemmed Incorporating a dynamic gene-based module process module into a crop simulation model
title_sort Incorporating a dynamic gene-based module process module into a crop simulation model
author Oliveira, Fabio Augusto Antunes de
author_facet Oliveira, Fabio Augusto Antunes de
author_role author
dc.contributor.advisor1.fl_str_mv Pavan, Willingthon
dc.contributor.advisor1ID.fl_str_mv 59879521072
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6506973801068764
dc.contributor.authorID.fl_str_mv 03693733082
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3960274989807927
dc.contributor.author.fl_str_mv Oliveira, Fabio Augusto Antunes de
contributor_str_mv Pavan, Willingthon
dc.subject.por.fl_str_mv Informática na agricultura
Métodos de simulação
Feijão
Engenharia de software
Cultivos agrícolas - Rendimento
topic Informática na agricultura
Métodos de simulação
Feijão
Engenharia de software
Cultivos agrícolas - Rendimento
MATEMATICA DA COMPUTACAO::MODELOS ANALITICOS E DE SIMULACAO
dc.subject.cnpq.fl_str_mv MATEMATICA DA COMPUTACAO::MODELOS ANALITICOS E DE SIMULACAO
description Crop simulation models uses parameters referred as genotype-specific parameters (GSPs) to represent plant characteristics (phenotype) under specific environments. GSPs do not refer to “true” genetic information based on a gene level and are estimated from data observed in the field and require experiments to measure phenotypic response when new cultivars are released. Gene-based models offer the potential to quantify and identify the phenotype from the plant's genetic composition (genotype). This work proposes an approach for incorporates a dynamic gene-based module for simulating time-to-flowering for common bean (Phaseolus vulgaris L.). This new approach aims to work in a hybrid mode for simulating using quantitative trait loci (QTLs) or GSPs for genetic (G), environment (E), and G × E interactions, and demonstrate potential applications using sensitivity analysis and for simulating yield.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-11-16T19:54:23Z
dc.date.issued.fl_str_mv 2021-03-31
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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status_str publishedVersion
dc.identifier.citation.fl_str_mv OLIVEIRA, Fabio Augusto Antunes de. Incorporating a dynamic gene-based module process module into a crop simulation model. 2021. 67 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2021.
dc.identifier.uri.fl_str_mv http://tede.upf.br:8080/jspui/handle/tede/2114
identifier_str_mv OLIVEIRA, Fabio Augusto Antunes de. Incorporating a dynamic gene-based module process module into a crop simulation model. 2021. 67 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2021.
url http://tede.upf.br:8080/jspui/handle/tede/2114
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language por
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dc.relation.confidence.fl_str_mv 500
500
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dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Computação Aplicada
dc.publisher.initials.fl_str_mv UPF
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Instituto de Ciências Exatas e Geociências – ICEG
publisher.none.fl_str_mv Universidade de Passo Fundo
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