Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares

Detalhes bibliográficos
Autor(a) principal: Azarias, Edilene Cristina Pedroso
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/49517
Resumo: The concept of weeds emerged with the beginning of agriculture, as it was from that moment onwards that human beings began to select plants. In the world there are several known species of weeds, such as those of crucial importance of the genus Amaranthus that are present throughout Brazil and in several areas. They have high seed production, easy dissemination, and rapid growth. Besides, they can promote competition for water, light and nutrients, reducing the yield of the crops in which they compete. The study of how this type of plants grows makes it possible to analyze its interference in the environment, and in this way, they can contribute to the development of management systems. The objective of this work was to study the growth and development of five weed species of the genus Amaranthus, under non-competitive conditions, based on the accumulation of total dry mass, roots and reproductive structures, with data obtained by the transversal method, using the non-linear Logistic, Gompertz and von Bertalanffy models, the first to fourth order derivatives were also explored, analyzing the critical points of the growth curves. In addition, it was evaluated which is the most suitable model to analyze the growth of the species. Data were extracted from Carvalho, López-Ovejero and Christoffoleti (2008); the experiment was carried out in a greenhouse at the Department of Plant Production of the Higher School of Agriculture “Luiz de Queiroz” – ESALQ/USP, between September and December 2005, and consisted of eight evaluations of growth, spaced 10 days apart, except for the first one which was carried out at 20 days after sowing and then every 10 days until the total of 90 days. The non-linear Logistic, Gompertz and von Bertalanffy models were adjusted using the open access software R, considering the AR(1) autoregressive error structure and heteroscedasticity of variances, when necessary. To compare the adjustments, the following evaluators were used: coefficient of determination R², residual standard deviation (RSD) and Akaike’s information criterion (AIC). Higher order derivatives of these models were also evaluated in order to identify relevant points of the growth curve. All models fit well, but based on the quality evaluators used, the Logistic and Gompertz models were the best to describe the dry mass accumulation of the different parts of the weed species studied.A. viridis had a shorter vegetative cycle, with greater accumulation of dry mass in the reproductive structures, A. deflexus was the species that presented the lowest maximum accumulation of total dry mass and in the roots, in the reproductive structures it showed little difference in relation to A. spinosus. On the other hand, A. hybridus reached higher values of total and root dry mass.
id UFLA_2c11f65935e75711791ce95cdb7565a5
oai_identifier_str oai:localhost:1/49517
network_acronym_str UFLA
network_name_str Repositório Institucional da UFLA
repository_id_str
spelling Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não linearesStudy in growth of weeds of the Amaranthus genus by nonlinear modelsPlantas daninhas - Curva de crescimentoRegressão não linearCaruruCrescimento (Plantas)Weeds - Growth curveNon-linear regressionPigweedGrowth (Plants)EstatísticaThe concept of weeds emerged with the beginning of agriculture, as it was from that moment onwards that human beings began to select plants. In the world there are several known species of weeds, such as those of crucial importance of the genus Amaranthus that are present throughout Brazil and in several areas. They have high seed production, easy dissemination, and rapid growth. Besides, they can promote competition for water, light and nutrients, reducing the yield of the crops in which they compete. The study of how this type of plants grows makes it possible to analyze its interference in the environment, and in this way, they can contribute to the development of management systems. The objective of this work was to study the growth and development of five weed species of the genus Amaranthus, under non-competitive conditions, based on the accumulation of total dry mass, roots and reproductive structures, with data obtained by the transversal method, using the non-linear Logistic, Gompertz and von Bertalanffy models, the first to fourth order derivatives were also explored, analyzing the critical points of the growth curves. In addition, it was evaluated which is the most suitable model to analyze the growth of the species. Data were extracted from Carvalho, López-Ovejero and Christoffoleti (2008); the experiment was carried out in a greenhouse at the Department of Plant Production of the Higher School of Agriculture “Luiz de Queiroz” – ESALQ/USP, between September and December 2005, and consisted of eight evaluations of growth, spaced 10 days apart, except for the first one which was carried out at 20 days after sowing and then every 10 days until the total of 90 days. The non-linear Logistic, Gompertz and von Bertalanffy models were adjusted using the open access software R, considering the AR(1) autoregressive error structure and heteroscedasticity of variances, when necessary. To compare the adjustments, the following evaluators were used: coefficient of determination R², residual standard deviation (RSD) and Akaike’s information criterion (AIC). Higher order derivatives of these models were also evaluated in order to identify relevant points of the growth curve. All models fit well, but based on the quality evaluators used, the Logistic and Gompertz models were the best to describe the dry mass accumulation of the different parts of the weed species studied.A. viridis had a shorter vegetative cycle, with greater accumulation of dry mass in the reproductive structures, A. deflexus was the species that presented the lowest maximum accumulation of total dry mass and in the roots, in the reproductive structures it showed little difference in relation to A. spinosus. On the other hand, A. hybridus reached higher values of total and root dry mass.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)O conceito de plantas daninhas surgiu com o início da agricultura, pois foi a partir desse momento que o ser humano passou fazer seleção entre as plantas. No mundo existem várias espécies de plantas daninhas conhecidas, dentre elas, e de grande importância, encontram-se as do gênero Amaranthus que estão presentes em todo o País e em diversas áreas. Possuem elevada produção de sementes e facilidade de disseminação, além de rápido crescimento, podem também promover competição por água, luz e nutrientes reduzindo o rendimento das culturas na qual competem. O estudo do crescimento desse tipo de plantas torna possível a análise de sua interferência no ambiente, dessa forma podem contribuir para o desenvolvimento de sistemas de manejo. O objetivo deste trabalho foi estudar o crescimento e o desenvolvimento de cinco espécies de plantas daninhas do gênero Amaranthus, em condições não-competitivas, com base no acúmulo de massa seca total, das raízes e das estruturas reprodutivas, com dados obtidos pelo método transversal, utilizando os modelos não lineares Logístico, Gompertz e von Bertalanffy, foram exploradas também as derivadas de primeira à quarta ordem analisando os pontos críticos das curvas de crescimento. Além disso, avaliou-se qual é o modelo mais adequado para analisar o crescimento das espécies. Os dados foram extraídos de Carvalho; López-Ovejero e Christoffoleti (2008), o experimento foi conduzido em casa de vegetação do Departamento de Produção Vegetal da Escola Superior de Agricultura “Luiz de Queiroz” – ESALQ/USP, entre setembro e dezembro de 2005 e, constou de oito avaliações de crescimento, espaçadas em 10 dias, exceto para a primeira que foi realizada aos 20 dias após a semeadura e depois de 10 em 10 dias até 90. Ajustou-se os modelos não lineares Logístico, Gompertz e von Bertalanffy por meio do software R de acesso livre, considerou-se estrutura de erros autorregressiva AR(1) e heterocedasticidade de variâncias, quando necessário. Para a comparação dos ajustes utilizou-se os seguintes avaliadores: coeficiente de determinação R2, desvio padrão residual (DPR) e critério de informação de Akaike (AIC). Avaliou-se também derivadas de ordem superior destes modelos com a finalidade de identificar pontos relevantes da curva de crescimento. Todos os modelos apresentaram bons ajustes, porém com base nos avaliadores de qualidade utilizados os modelos Logístico e Gompertz apresentaram-se como melhores para descrever o acúmulo de massa seca das diferentes partes das espécies de plantas daninhas estudadas. A. viridis teve ciclo vegetativo mais curto, com maior acúmulo de massa seca nas estruturas reprodutivas, A. deflexus foi a espécie que apresentou menor acúmulo máximo de massa seca total e nas raízes, nas estruturas reprodutivas obteve pouca diferença em relação a A. spinosus. Já a A. hybridus alcançou maiores valores de massa seca total e nas raízes.Universidade Federal de LavrasPrograma de Pós-Graduação em Estatística e Experimentação AgropecuáriaUFLAbrasilDepartamento de EstatísticaMuniz, Joel AugustoSilva, Edilson MarcelinoFernandes, Tales JesusSilveira, Silvio de CastroAzarias, Edilene Cristina Pedroso2022-03-17T21:02:35Z2022-03-17T21:02:35Z2022-03-172022-02-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfAZARIAS, E. C. P. Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares. 2022. 67 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária) – Universidade Federal de Lavras, Lavras, 2022.http://repositorio.ufla.br/jspui/handle/1/49517porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLA2023-05-11T17:26:40Zoai:localhost:1/49517Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-11T17:26:40Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
Study in growth of weeds of the Amaranthus genus by nonlinear models
title Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
spellingShingle Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
Azarias, Edilene Cristina Pedroso
Plantas daninhas - Curva de crescimento
Regressão não linear
Caruru
Crescimento (Plantas)
Weeds - Growth curve
Non-linear regression
Pigweed
Growth (Plants)
Estatística
title_short Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
title_full Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
title_fullStr Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
title_full_unstemmed Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
title_sort Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
author Azarias, Edilene Cristina Pedroso
author_facet Azarias, Edilene Cristina Pedroso
author_role author
dc.contributor.none.fl_str_mv Muniz, Joel Augusto
Silva, Edilson Marcelino
Fernandes, Tales Jesus
Silveira, Silvio de Castro
dc.contributor.author.fl_str_mv Azarias, Edilene Cristina Pedroso
dc.subject.por.fl_str_mv Plantas daninhas - Curva de crescimento
Regressão não linear
Caruru
Crescimento (Plantas)
Weeds - Growth curve
Non-linear regression
Pigweed
Growth (Plants)
Estatística
topic Plantas daninhas - Curva de crescimento
Regressão não linear
Caruru
Crescimento (Plantas)
Weeds - Growth curve
Non-linear regression
Pigweed
Growth (Plants)
Estatística
description The concept of weeds emerged with the beginning of agriculture, as it was from that moment onwards that human beings began to select plants. In the world there are several known species of weeds, such as those of crucial importance of the genus Amaranthus that are present throughout Brazil and in several areas. They have high seed production, easy dissemination, and rapid growth. Besides, they can promote competition for water, light and nutrients, reducing the yield of the crops in which they compete. The study of how this type of plants grows makes it possible to analyze its interference in the environment, and in this way, they can contribute to the development of management systems. The objective of this work was to study the growth and development of five weed species of the genus Amaranthus, under non-competitive conditions, based on the accumulation of total dry mass, roots and reproductive structures, with data obtained by the transversal method, using the non-linear Logistic, Gompertz and von Bertalanffy models, the first to fourth order derivatives were also explored, analyzing the critical points of the growth curves. In addition, it was evaluated which is the most suitable model to analyze the growth of the species. Data were extracted from Carvalho, López-Ovejero and Christoffoleti (2008); the experiment was carried out in a greenhouse at the Department of Plant Production of the Higher School of Agriculture “Luiz de Queiroz” – ESALQ/USP, between September and December 2005, and consisted of eight evaluations of growth, spaced 10 days apart, except for the first one which was carried out at 20 days after sowing and then every 10 days until the total of 90 days. The non-linear Logistic, Gompertz and von Bertalanffy models were adjusted using the open access software R, considering the AR(1) autoregressive error structure and heteroscedasticity of variances, when necessary. To compare the adjustments, the following evaluators were used: coefficient of determination R², residual standard deviation (RSD) and Akaike’s information criterion (AIC). Higher order derivatives of these models were also evaluated in order to identify relevant points of the growth curve. All models fit well, but based on the quality evaluators used, the Logistic and Gompertz models were the best to describe the dry mass accumulation of the different parts of the weed species studied.A. viridis had a shorter vegetative cycle, with greater accumulation of dry mass in the reproductive structures, A. deflexus was the species that presented the lowest maximum accumulation of total dry mass and in the roots, in the reproductive structures it showed little difference in relation to A. spinosus. On the other hand, A. hybridus reached higher values of total and root dry mass.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-17T21:02:35Z
2022-03-17T21:02:35Z
2022-03-17
2022-02-10
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 AZARIAS, E. C. P. Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares. 2022. 67 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária) – Universidade Federal de Lavras, Lavras, 2022.
http://repositorio.ufla.br/jspui/handle/1/49517
identifier_str_mv AZARIAS, E. C. P. Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares. 2022. 67 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária) – Universidade Federal de Lavras, Lavras, 2022.
url http://repositorio.ufla.br/jspui/handle/1/49517
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
Programa de Pós-Graduação em Estatística e Experimentação Agropecuária
UFLA
brasil
Departamento de Estatística
publisher.none.fl_str_mv Universidade Federal de Lavras
Programa de Pós-Graduação em Estatística e Experimentação Agropecuária
UFLA
brasil
Departamento de Estatística
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1815439114426646528