Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Loregian, Marcos Vinicius
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
dARK ID: ark:/26339/001300000kzm2
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
Centro de Ciências Rurais
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Fagopyrum esculentum Moench
Modelos não lineares
Cultura de cobertura de solo
Nonlinear models
Soil cover culture
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
Link de acesso: http://repositorio.ufsm.br/handle/1/24022
Resumo: The objectives of this study were to adjust the non-linear Gompertz and Logistics models to describe the morphological and productive traits of two buckwheat cultivars, IPR91-Baili and IPR92-Altar, during sowing times and to indicate the model that best describes the growth of the crop. Twenty uniformity trials with buckwheat crop were conducted in two agricultural years, 2017/2018 and 2018/2019. Sowing was carried out in rows, spaced 0.5 m between rows. Each uniformity trial covered an area of 9 m × 17 m (153 m²). Five plants from each trial were evaluated twice a week. The plant height, number of nodes, fresh matter of aerial part and dry matter of aerial part were evaluated. The Gompertz and Logistics models were adjusted for each trait according to the days after sowing. The parameters of each model were estimated, the confidence intervals of the parameters and critical points of the growth curves were determined. To analyze the behavior of the models, the intrinsic nonlinearities and the parameter effect were quantified. The fit quality of the models was verified by the determination coefficient, Akaike information criterion and residual standard deviation. Both models proved to be adequate to describe the morphological and productive traits of buckwheat, at sowing times. However, the Logistics model is the most suitable for presenting the best fit quality indicators.
id UFSM_b796b357490ad944b8845749102d7bce
oai_identifier_str oai:repositorio.ufsm.br:1/24022
network_acronym_str UFSM
network_name_str Manancial - Repositório Digital da UFSM
repository_id_str
spelling Modelos de crescimento para cultivares de trigo mourisco em épocas de semeaduraGrowth models for buckwheat cultivars in seeding timesFagopyrum esculentum MoenchModelos não linearesCultura de cobertura de soloNonlinear modelsSoil cover cultureCNPQ::CIENCIAS AGRARIAS::AGRONOMIAThe objectives of this study were to adjust the non-linear Gompertz and Logistics models to describe the morphological and productive traits of two buckwheat cultivars, IPR91-Baili and IPR92-Altar, during sowing times and to indicate the model that best describes the growth of the crop. Twenty uniformity trials with buckwheat crop were conducted in two agricultural years, 2017/2018 and 2018/2019. Sowing was carried out in rows, spaced 0.5 m between rows. Each uniformity trial covered an area of 9 m × 17 m (153 m²). Five plants from each trial were evaluated twice a week. The plant height, number of nodes, fresh matter of aerial part and dry matter of aerial part were evaluated. The Gompertz and Logistics models were adjusted for each trait according to the days after sowing. The parameters of each model were estimated, the confidence intervals of the parameters and critical points of the growth curves were determined. To analyze the behavior of the models, the intrinsic nonlinearities and the parameter effect were quantified. The fit quality of the models was verified by the determination coefficient, Akaike information criterion and residual standard deviation. Both models proved to be adequate to describe the morphological and productive traits of buckwheat, at sowing times. However, the Logistics model is the most suitable for presenting the best fit quality indicators.Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqOs objetivos deste estudo foram ajustar os modelos não lineares Gompertz e Logístico na descrição de caracteres morfológicos e produtivos de duas cultivares de trigo mourisco, IPR91-Baili e IPR92-Altar, em épocas de semeadura e indicar o modelo que melhor descreve o crescimento da cultura. Foram conduzidos vinte ensaios de uniformidade com a cultura do trigo mourisco em dois anos agrícolas, 2017/2018 e 2018/2019. A semeadura foi realizada em fileiras, espaçadas com 0,5 m entre si. Cada ensaio ocupou uma área de 9 m × 17 m (153 m²). Cinco plantas de cada ensaio foram avaliadas duas vezes por semana. Foram avaliados os caracteres altura de planta, número de nós, massa de matéria fresca de parte aérea e massa de matéria seca de parte aérea. Os modelos Gompertz e Logístico foram ajustados para cada caractere em função dos dias após a semeadura. Foram estimados os parâmetros de cada modelo, determinados os intervalos de confiança dos parâmetros e os pontos críticos das curvas de crescimento. Para análise do comportamento dos modelos foram quantificadas as não linearidades intrínseca e do efeito de parâmetro. A qualidade de ajuste dos modelos foi verificada pelo coeficiente de determinação, critério de informação de Akaike e desvio padrão residual. Ambos os modelos se mostraram adequados para descrever os caracteres morfológicos e produtivos de trigo mourisco em épocas de semeadura. No entanto, o modelo Logístico é o mais indicado por apresentar os melhores indicadores de qualidade do ajuste.Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em AgronomiaCentro de Ciências RuraisCargnelutti Filho, Albertohttp://lattes.cnpq.br/0233728865094243Boligon, Alexandra AugustiToebe, MarcosLoregian, Marcos Vinicius2022-04-04T17:43:10Z2022-04-04T17:43:10Z2020-10-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/24022ark:/26339/001300000kzm2porAttribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2022-04-04T17:43:10Zoai:repositorio.ufsm.br:1/24022Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/PUBhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.bropendoar:2022-04-04T17:43:10Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
Growth models for buckwheat cultivars in seeding times
title Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
spellingShingle Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
Loregian, Marcos Vinicius
Fagopyrum esculentum Moench
Modelos não lineares
Cultura de cobertura de solo
Nonlinear models
Soil cover culture
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
title_full Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
title_fullStr Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
title_full_unstemmed Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
title_sort Modelos de crescimento para cultivares de trigo mourisco em épocas de semeadura
author Loregian, Marcos Vinicius
author_facet Loregian, Marcos Vinicius
author_role author
dc.contributor.none.fl_str_mv Cargnelutti Filho, Alberto
http://lattes.cnpq.br/0233728865094243
Boligon, Alexandra Augusti
Toebe, Marcos
dc.contributor.author.fl_str_mv Loregian, Marcos Vinicius
dc.subject.por.fl_str_mv Fagopyrum esculentum Moench
Modelos não lineares
Cultura de cobertura de solo
Nonlinear models
Soil cover culture
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Fagopyrum esculentum Moench
Modelos não lineares
Cultura de cobertura de solo
Nonlinear models
Soil cover culture
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description The objectives of this study were to adjust the non-linear Gompertz and Logistics models to describe the morphological and productive traits of two buckwheat cultivars, IPR91-Baili and IPR92-Altar, during sowing times and to indicate the model that best describes the growth of the crop. Twenty uniformity trials with buckwheat crop were conducted in two agricultural years, 2017/2018 and 2018/2019. Sowing was carried out in rows, spaced 0.5 m between rows. Each uniformity trial covered an area of 9 m × 17 m (153 m²). Five plants from each trial were evaluated twice a week. The plant height, number of nodes, fresh matter of aerial part and dry matter of aerial part were evaluated. The Gompertz and Logistics models were adjusted for each trait according to the days after sowing. The parameters of each model were estimated, the confidence intervals of the parameters and critical points of the growth curves were determined. To analyze the behavior of the models, the intrinsic nonlinearities and the parameter effect were quantified. The fit quality of the models was verified by the determination coefficient, Akaike information criterion and residual standard deviation. Both models proved to be adequate to describe the morphological and productive traits of buckwheat, at sowing times. However, the Logistics model is the most suitable for presenting the best fit quality indicators.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-30
2022-04-04T17:43:10Z
2022-04-04T17:43:10Z
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.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/24022
dc.identifier.dark.fl_str_mv ark:/26339/001300000kzm2
url http://repositorio.ufsm.br/handle/1/24022
identifier_str_mv ark:/26339/001300000kzm2
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
Centro de Ciências Rurais
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agronomia
Centro de Ciências Rurais
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.br
_version_ 1847153416250327040

Registros relacionados