Controle de plantas daninhas em função de características morfológicas
| Ano de defesa: | 2022 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade de Passo Fundo
Faculdade de Agronomia e Medicina Veterinária – FAMV Brasil UPF Programa de Pós-Graduação em Agronomia |
| Programa de Pós-Graduação: |
Não Informado pela instituição
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: | |
| Link de acesso: | https://repositorio.upf.br/handle/123456789/9326 |
Resumo: | Weeds are one of the main problems that impede rural producers from reaching higher levels of productivity and productive efficiency on their properties. It is fundamental for the proper management of weeds that there is a correct identification, while the plant is young and susceptible to less complex chemical treatments. This work aims to generate data that can contribute to the improvement of management tools, as well as a more rational use of herbicides, aiming at the development of a more efficient resources usage in agriculture. The experiments were carried out in a greenhouse at the Faculty of Agronomy and Veterinary Medicine of the University of Passo Fundo (UPF), where Hairy Beggarticks (Bidens spp.), Sourgrass (Digitaria insularis) and Italian Ryegrass plants (Lolium perenne var. multiflorum) were cultivated in substrate until 15, 30, 45, 60 and 75 days after sowing, in order to analyze plant height, leaf area, soil cover by the aerial part of the plant - calculated by software after capturing aerial part images - and the subsequent evaluation of chemical control effectiveness when subjected to different doses of herbicides. The experimental design was completely randomized, with treatments arranged in a factorial scheme, with four replications. The results show a difference between the control of Hairy Beggarticks plants depending on the doses of glyphosate used and the vegetative stage, being that the lowest dose (500 g a.e. ha-1) did not effectively control the plants at 75 days after sowing (DAS) and doses of 500 g a.e. ha-1 and 1000 g a.e. ha-1 did not effectively control the plants at 60 DAS. In the Sourgrass experiment, none of the product doses tested resulted in an efficient control of the plants at 75 and 60 DAS and the lowest dose of clethodim (96 g a.i. ha-1) mixed with glyphosate (1500 g a e. ha-1) was also not efficient in weed control at 45 DAS. The results obtained in the experiment with Italian Ryegrass show us that even the lowest dose of clethodim (96 g a.i. ha-1) mixed with glyphosate (1000 g a.e. ha-1) was efficient to control plants at all stages. However, it was observed that younger plants (15 and 30 DAS) were controlled more quickly. Soil cover by the aerial part of the weeds calculated from images obtained high values of correlation with the leaf area of the plants, (Hairy Beggarticks:r = 0.92; Sourgrass r = 0.86; Italian Ryegrass r = 0.64), validating the aerial image acquisition method. As discussed and demonstrated by several researchers, the identification of weeds in early stages of growth is feasible. From these results, we can say that it is possible to generate infestation maps of Hairy Beggarticks, Sourgrass and Italian Ryegrass plants with accurate detection of weed and crops. |
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Controle de plantas daninhas em função de características morfológicasErvas daninhas - ControleErva daninha - Imagens por sensoriamento remotoHerbicidasCIENCIAS AGRARIAS::AGRONOMIAWeeds are one of the main problems that impede rural producers from reaching higher levels of productivity and productive efficiency on their properties. It is fundamental for the proper management of weeds that there is a correct identification, while the plant is young and susceptible to less complex chemical treatments. This work aims to generate data that can contribute to the improvement of management tools, as well as a more rational use of herbicides, aiming at the development of a more efficient resources usage in agriculture. The experiments were carried out in a greenhouse at the Faculty of Agronomy and Veterinary Medicine of the University of Passo Fundo (UPF), where Hairy Beggarticks (Bidens spp.), Sourgrass (Digitaria insularis) and Italian Ryegrass plants (Lolium perenne var. multiflorum) were cultivated in substrate until 15, 30, 45, 60 and 75 days after sowing, in order to analyze plant height, leaf area, soil cover by the aerial part of the plant - calculated by software after capturing aerial part images - and the subsequent evaluation of chemical control effectiveness when subjected to different doses of herbicides. The experimental design was completely randomized, with treatments arranged in a factorial scheme, with four replications. The results show a difference between the control of Hairy Beggarticks plants depending on the doses of glyphosate used and the vegetative stage, being that the lowest dose (500 g a.e. ha-1) did not effectively control the plants at 75 days after sowing (DAS) and doses of 500 g a.e. ha-1 and 1000 g a.e. ha-1 did not effectively control the plants at 60 DAS. In the Sourgrass experiment, none of the product doses tested resulted in an efficient control of the plants at 75 and 60 DAS and the lowest dose of clethodim (96 g a.i. ha-1) mixed with glyphosate (1500 g a e. ha-1) was also not efficient in weed control at 45 DAS. The results obtained in the experiment with Italian Ryegrass show us that even the lowest dose of clethodim (96 g a.i. ha-1) mixed with glyphosate (1000 g a.e. ha-1) was efficient to control plants at all stages. However, it was observed that younger plants (15 and 30 DAS) were controlled more quickly. Soil cover by the aerial part of the weeds calculated from images obtained high values of correlation with the leaf area of the plants, (Hairy Beggarticks:r = 0.92; Sourgrass r = 0.86; Italian Ryegrass r = 0.64), validating the aerial image acquisition method. As discussed and demonstrated by several researchers, the identification of weeds in early stages of growth is feasible. From these results, we can say that it is possible to generate infestation maps of Hairy Beggarticks, Sourgrass and Italian Ryegrass plants with accurate detection of weed and crops.A presença de plantas daninhas é um dos principais problemas que impedem os produtores rurais de alcançarem patamares mais elevados de produtividade e de eficiência produtiva em suas propriedades. É de fundamental importância para o manejo adequado de plantas daninhas que haja uma correta identificação, enquanto a planta é jovem e suscetível aos tratamentos químicos menos complexos. Este trabalho tem como objetivo gerar dados que possam contribuir para o aprimoramento das ferramentas de manejo, bem como uso mais racional de herbicidas, visando o desenvolvimento de uma agricultura mais eficiente na utilização de recursos. O trabalho foi conduzido em casa-de-vegetação de Plantas Daninhas da Faculdade de Agronomia e Medicina Veterinária da Universidade de Passo Fundo (UPF), onde plantas de picão-preto (Bidens spp.), capim-amargoso (Digitaria insularis) e azevém (Lolium perenne var. multiflorum) foram cultivadas em substrato até os 15, 30, 45, 60 e 75 dias após a semeadura, a fim de se analisar a altura de planta, área foliar, cobertura de solo pela parte aérea de planta - calculada por software após captura de imagens de parte aérea - e a posterior avaliação de eficácia de controle químico quando sujeitadas a diferentes doses de herbicidas. O delineamento experimental foi completamente casualizado, com os tratamentos arranjados em esquema fatorial, com quatro repetições. Os resultados demonstraram diferença entre o controle de plantas de picão-preto em função das doses de glifosato utilizadas e do estádio vegetativo, sendo que a menor dose (500 g e.a. ha-1) não controlou efetivamente as plantas aos 75 dias após a semeadura (DAS) e as doses de 500 g e.a. ha-1 e 1000 g e.a. ha-1 não controlaram efetivamente as plantas aos 60 DAS. No experimento com capim-amargoso, nenhuma das doses de produto testadas resultou em um controle eficiante das plantas aos 75 e 60 DAS e a menor dose de cletodim (96 g i.a. ha-1 ) em mistura com glifosato (1500 g e.a. ha-1) também não se mostrou eficiente no controle da planta daninha aos 45 DAS. Os resultados obtidos no experimento com azevém mostram que mesmo a menor dose de cletodim (96 g i.a. ha-1 ) em mistura com glifosato (1000 g e.a. ha-1) se mostrou eficiente para o controle em qualquer estádio de planta. Porém, pôde-se observar que plantas mais jovens (15 e 30 DAS) foram controladas mais rapidamente. A cobertura de solo pela parte aérea das plantas daninhas calculada a partir de imagens correlacionou-se positivamente com a área foliar das plantas (picão-preto:r = 0,92; capim-amargoso: r = 0,86; azevém r = 0,64), permitindo validar o método de aquisição aérea de imagens. A identificação de plantas daninhas em estádios iniciais de crescimento é factível. A partir destes resultados, pode-se dizer que é possível gerar mapas de infestação de plantas de picão-preto, capim-amargoso e azevém com alta capacidade de distinção entre plantas daninhas e culturas de interesse.Universidade de Passo FundoFaculdade de Agronomia e Medicina Veterinária – FAMVBrasilUPFPrograma de Pós-Graduação em AgronomiaRizzardi, Mauro Antôniohttp://lattes.cnpq.br/2969957873150937Canova, Luís Henrique2025-06-20T16:42:20Z2022-04-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfCANOVA, Luís Henrique. Controle de plantas daninhas em função de características morfológicas. 2022. 83f. Dissertação (Mestrado em Agronomia) - Universidade de Passo Fundo, Passo Fundo, RS, 2022 .https://repositorio.upf.br/handle/123456789/9326porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UPFinstname:Universidade de Passo Fundo (UPF)instacron:UPF2025-07-24T03:10:43Zoai:repositorio.upf.br:123456789/9326Repositório InstitucionalPRIhttp://repositorio.upf.br/oai/requestjucelei@upf.br||biblio@upf.bropendoar:16102025-07-24T03:10:43Repositório Institucional da UPF - Universidade de Passo Fundo (UPF)false |
| dc.title.none.fl_str_mv |
Controle de plantas daninhas em função de características morfológicas |
| title |
Controle de plantas daninhas em função de características morfológicas |
| spellingShingle |
Controle de plantas daninhas em função de características morfológicas Canova, Luís Henrique Ervas daninhas - Controle Erva daninha - Imagens por sensoriamento remoto Herbicidas CIENCIAS AGRARIAS::AGRONOMIA |
| title_short |
Controle de plantas daninhas em função de características morfológicas |
| title_full |
Controle de plantas daninhas em função de características morfológicas |
| title_fullStr |
Controle de plantas daninhas em função de características morfológicas |
| title_full_unstemmed |
Controle de plantas daninhas em função de características morfológicas |
| title_sort |
Controle de plantas daninhas em função de características morfológicas |
| author |
Canova, Luís Henrique |
| author_facet |
Canova, Luís Henrique |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Rizzardi, Mauro Antônio http://lattes.cnpq.br/2969957873150937 |
| dc.contributor.author.fl_str_mv |
Canova, Luís Henrique |
| dc.subject.por.fl_str_mv |
Ervas daninhas - Controle Erva daninha - Imagens por sensoriamento remoto Herbicidas CIENCIAS AGRARIAS::AGRONOMIA |
| topic |
Ervas daninhas - Controle Erva daninha - Imagens por sensoriamento remoto Herbicidas CIENCIAS AGRARIAS::AGRONOMIA |
| description |
Weeds are one of the main problems that impede rural producers from reaching higher levels of productivity and productive efficiency on their properties. It is fundamental for the proper management of weeds that there is a correct identification, while the plant is young and susceptible to less complex chemical treatments. This work aims to generate data that can contribute to the improvement of management tools, as well as a more rational use of herbicides, aiming at the development of a more efficient resources usage in agriculture. The experiments were carried out in a greenhouse at the Faculty of Agronomy and Veterinary Medicine of the University of Passo Fundo (UPF), where Hairy Beggarticks (Bidens spp.), Sourgrass (Digitaria insularis) and Italian Ryegrass plants (Lolium perenne var. multiflorum) were cultivated in substrate until 15, 30, 45, 60 and 75 days after sowing, in order to analyze plant height, leaf area, soil cover by the aerial part of the plant - calculated by software after capturing aerial part images - and the subsequent evaluation of chemical control effectiveness when subjected to different doses of herbicides. The experimental design was completely randomized, with treatments arranged in a factorial scheme, with four replications. The results show a difference between the control of Hairy Beggarticks plants depending on the doses of glyphosate used and the vegetative stage, being that the lowest dose (500 g a.e. ha-1) did not effectively control the plants at 75 days after sowing (DAS) and doses of 500 g a.e. ha-1 and 1000 g a.e. ha-1 did not effectively control the plants at 60 DAS. In the Sourgrass experiment, none of the product doses tested resulted in an efficient control of the plants at 75 and 60 DAS and the lowest dose of clethodim (96 g a.i. ha-1) mixed with glyphosate (1500 g a e. ha-1) was also not efficient in weed control at 45 DAS. The results obtained in the experiment with Italian Ryegrass show us that even the lowest dose of clethodim (96 g a.i. ha-1) mixed with glyphosate (1000 g a.e. ha-1) was efficient to control plants at all stages. However, it was observed that younger plants (15 and 30 DAS) were controlled more quickly. Soil cover by the aerial part of the weeds calculated from images obtained high values of correlation with the leaf area of the plants, (Hairy Beggarticks:r = 0.92; Sourgrass r = 0.86; Italian Ryegrass r = 0.64), validating the aerial image acquisition method. As discussed and demonstrated by several researchers, the identification of weeds in early stages of growth is feasible. From these results, we can say that it is possible to generate infestation maps of Hairy Beggarticks, Sourgrass and Italian Ryegrass plants with accurate detection of weed and crops. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-04-04 2025-06-20T16:42:20Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
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CANOVA, Luís Henrique. Controle de plantas daninhas em função de características morfológicas. 2022. 83f. Dissertação (Mestrado em Agronomia) - Universidade de Passo Fundo, Passo Fundo, RS, 2022 . https://repositorio.upf.br/handle/123456789/9326 |
| identifier_str_mv |
CANOVA, Luís Henrique. Controle de plantas daninhas em função de características morfológicas. 2022. 83f. Dissertação (Mestrado em Agronomia) - Universidade de Passo Fundo, Passo Fundo, RS, 2022 . |
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Universidade de Passo Fundo Faculdade de Agronomia e Medicina Veterinária – FAMV Brasil UPF Programa de Pós-Graduação em Agronomia |
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Universidade de Passo Fundo Faculdade de Agronomia e Medicina Veterinária – FAMV Brasil UPF Programa de Pós-Graduação em Agronomia |
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