Estudo do crescimento de plantas daninhas do gênero Amaranthus por modelos não lineares
Autor(a) principal: | |
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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. |
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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 |
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por |
language |
por |
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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 |
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reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
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Universidade Federal de Lavras (UFLA) |
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UFLA |
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UFLA |
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Repositório Institucional da UFLA |
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Repositório Institucional da UFLA |
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Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
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nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1815439114426646528 |