Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco
Ano de defesa: | 2020 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Engenharia Agrícola
|
Departamento: |
Departamento de Engenharia Agrícola
|
País: |
Brasil
|
Palavras-chave em Português: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9103 |
Resumo: | The intensification of agricultural traffic from planting to several harvests in the cultivation of sugarcane promotes different changes in the physical quality of the soils due to the excessive stresses applied to the soil surface, compromising the agricultural yield and the longevity of the crops. Confined endometrial uniaxial tests make it possible to evaluate and monitor the mechanical-mechanical degradation of soils promoted by intense agricultural traffic. The objective of this study was to evaluate the susceptibility to soil compaction with different textural and management classes cultivated with sugarcane in Pernambuco and to propose mathematical models for the prediction of compaction. Deformed and undisturbed soil samples were collected in nine locations at the depths of 0.00-0.20 m and 0.20-0.40 m under two managements (cane plant and cane soca). The soils were classified as: Yellow Utisol, Spodosol, Entisol and Yellow Latosol. Organic carbon (OC), total porosity (TP), moisture in field capacity (W), silt + clay content (S+A), degree of saturation (DS), degree of compaction (DC), recompression index (RI), compression index (CI) and pre-consolidation stress (σp) were submitted to principal component analysis, in a multivariate approach. Additionally, they were submitted to multiple linear regression analysis considering σp and CI as dependent variables. The significance of the explanatory variables on the dependent variables was considered using the F-test (p-value <0.05). The successive traffic did not interfere in the behavior of the variables, but the S+A levels influenced it. Soils with high levels of fines showed greater load capacity, however, they were more susceptible to the compaction process, especially with high DS. The prediction models of the load capacity and susceptibility of the soil to general compaction and grouped according to the levels of S + A showed acceptable coefficients of determination (≥ 60%). In general, p and CI can be estimated by linear regression models using easily measured soil attributes for a wide range of texture, CO and management. |
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ROLIM, Mário MonteiroGOMES, Igor FernandesLIMA, João Luís Mendes Pedroso deLIMA, Renato Paiva dehttp://lattes.cnpq.br/8523867742502115TOLÊDO, Matheus Phelippe Santos2023-06-21T16:33:45Z2020-02-18TOLÊDO, Matheus Phelippe Santos. Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco. 2020. 48 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9103The intensification of agricultural traffic from planting to several harvests in the cultivation of sugarcane promotes different changes in the physical quality of the soils due to the excessive stresses applied to the soil surface, compromising the agricultural yield and the longevity of the crops. Confined endometrial uniaxial tests make it possible to evaluate and monitor the mechanical-mechanical degradation of soils promoted by intense agricultural traffic. The objective of this study was to evaluate the susceptibility to soil compaction with different textural and management classes cultivated with sugarcane in Pernambuco and to propose mathematical models for the prediction of compaction. Deformed and undisturbed soil samples were collected in nine locations at the depths of 0.00-0.20 m and 0.20-0.40 m under two managements (cane plant and cane soca). The soils were classified as: Yellow Utisol, Spodosol, Entisol and Yellow Latosol. Organic carbon (OC), total porosity (TP), moisture in field capacity (W), silt + clay content (S+A), degree of saturation (DS), degree of compaction (DC), recompression index (RI), compression index (CI) and pre-consolidation stress (σp) were submitted to principal component analysis, in a multivariate approach. Additionally, they were submitted to multiple linear regression analysis considering σp and CI as dependent variables. The significance of the explanatory variables on the dependent variables was considered using the F-test (p-value <0.05). The successive traffic did not interfere in the behavior of the variables, but the S+A levels influenced it. Soils with high levels of fines showed greater load capacity, however, they were more susceptible to the compaction process, especially with high DS. The prediction models of the load capacity and susceptibility of the soil to general compaction and grouped according to the levels of S + A showed acceptable coefficients of determination (≥ 60%). In general, p and CI can be estimated by linear regression models using easily measured soil attributes for a wide range of texture, CO and management.A intensificação do tráfego agrícola desde o plantio até as diversas colheitas no cultivo da cana-de-açúcar promove modificações em diferentes escalas na qualidade física dos solos em função das tensões excessivas aplicadas na superfície do solo, comprometendo o rendimento agrícola e longevidade das lavouras. Ensaios uniaxiais endométricos confinados possibilitam avaliar e monitorar a degradação físico-mecânica dos solos promovida pelo tráfego agrícola intenso. O objetivo desse estudo foi avaliar a suscetibilidade a compactação de solos com distintas classes texturais e manejo cultivados com cana-de-açúcar em Pernambuco e propor modelos matemáticos para a predição da compactação. Amostras deformadas e indeformadas do solo foram coletadas em nove locais nas profundidades de 0,00-0,20 m e 0,20-0,40 m, sob dois manejos (cana planta e cana soca). Os solos foram classificados como: Argissolo Amarelo, Espodossolo Ferrihumilúvico, Gleissolo Háplico e Latossolo Amarelo. Carbono orgânico (CO), porosidade total (PT), umidade na capacidade de campo (W), teor de silte + argila (S+A), grau de saturação (GS), grau de compactação (GC), índice de re-compressão (IR), índice de compressão (IC) e tensão de pré-consolidação (σp) foram submetidos à análise de componentes principais, em uma abordagem multivariada. Adicionalmente, foram submetidos a análise de regressão linear múltipla considerando σp e IC como variáveis dependentes. A significãncia das variáveis explicativas sobre as variáveis dependentes foi considerada por meio do teste-F (p-value <0,05). O tráfego sucessivo não interferiu no comportamento das variáveis, mas os teores de S+A influenciaram. Solos com altos teores de finos apresentaram maior capacidade de carga, porém, foram mais susceptíveis ao processo de compactação, sobretudo, com elevação do GS. Os modelos de predição da capacidade de suporte de carga e suscetibilidade do solo a compactação geral e agrupados em função dos teores de S+A apresentaram coeficientes de determinação aceitáveis (≥ 60%). De forma geral, p e o IC podem ser estimados por modelos de regressões lineares utilizando atributos do solo de fácil mensuração para uma ampla faixa de textura, CO e manejo.Submitted by (ana.araujo@ufrpe.br) on 2023-06-21T16:33:44Z No. of bitstreams: 1 Matheus Phelippe Santos Toledo.pdf: 1188877 bytes, checksum: 1449ebea4f87291a3fc88edba8630697 (MD5)Made available in DSpace on 2023-06-21T16:33:45Z (GMT). No. of bitstreams: 1 Matheus Phelippe Santos Toledo.pdf: 1188877 bytes, checksum: 1449ebea4f87291a3fc88edba8630697 (MD5) Previous issue date: 2020-02-18Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Engenharia AgrícolaUFRPEBrasilDepartamento de Engenharia AgrícolaCana-de-açúcarCompactação do soloModelo matemáticoCIENCIAS AGRARIAS::ENGENHARIA AGRICOLASuscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em PernambucoSusceptibility and prediction of compaction of soil cultivated with sugarcane in Pernambucoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-5347692450416052129600600600600-286211619635507967491854457215887615552075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALMatheus Phelippe Santos Toledo.pdfMatheus Phelippe Santos Toledo.pdfapplication/pdf1188877http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9103/2/Matheus+Phelippe+Santos+Toledo.pdf1449ebea4f87291a3fc88edba8630697MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9103/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/91032023-06-21 13:33:45.261oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2023-06-21T16:33:45Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco |
dc.title.alternative.eng.fl_str_mv |
Susceptibility and prediction of compaction of soil cultivated with sugarcane in Pernambuco |
title |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco |
spellingShingle |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco TOLÊDO, Matheus Phelippe Santos Cana-de-açúcar Compactação do solo Modelo matemático CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
title_short |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco |
title_full |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco |
title_fullStr |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco |
title_full_unstemmed |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco |
title_sort |
Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco |
author |
TOLÊDO, Matheus Phelippe Santos |
author_facet |
TOLÊDO, Matheus Phelippe Santos |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
ROLIM, Mário Monteiro |
dc.contributor.referee1.fl_str_mv |
GOMES, Igor Fernandes |
dc.contributor.referee2.fl_str_mv |
LIMA, João Luís Mendes Pedroso de |
dc.contributor.referee3.fl_str_mv |
LIMA, Renato Paiva de |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/8523867742502115 |
dc.contributor.author.fl_str_mv |
TOLÊDO, Matheus Phelippe Santos |
contributor_str_mv |
ROLIM, Mário Monteiro GOMES, Igor Fernandes LIMA, João Luís Mendes Pedroso de LIMA, Renato Paiva de |
dc.subject.por.fl_str_mv |
Cana-de-açúcar Compactação do solo Modelo matemático |
topic |
Cana-de-açúcar Compactação do solo Modelo matemático CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
description |
The intensification of agricultural traffic from planting to several harvests in the cultivation of sugarcane promotes different changes in the physical quality of the soils due to the excessive stresses applied to the soil surface, compromising the agricultural yield and the longevity of the crops. Confined endometrial uniaxial tests make it possible to evaluate and monitor the mechanical-mechanical degradation of soils promoted by intense agricultural traffic. The objective of this study was to evaluate the susceptibility to soil compaction with different textural and management classes cultivated with sugarcane in Pernambuco and to propose mathematical models for the prediction of compaction. Deformed and undisturbed soil samples were collected in nine locations at the depths of 0.00-0.20 m and 0.20-0.40 m under two managements (cane plant and cane soca). The soils were classified as: Yellow Utisol, Spodosol, Entisol and Yellow Latosol. Organic carbon (OC), total porosity (TP), moisture in field capacity (W), silt + clay content (S+A), degree of saturation (DS), degree of compaction (DC), recompression index (RI), compression index (CI) and pre-consolidation stress (σp) were submitted to principal component analysis, in a multivariate approach. Additionally, they were submitted to multiple linear regression analysis considering σp and CI as dependent variables. The significance of the explanatory variables on the dependent variables was considered using the F-test (p-value <0.05). The successive traffic did not interfere in the behavior of the variables, but the S+A levels influenced it. Soils with high levels of fines showed greater load capacity, however, they were more susceptible to the compaction process, especially with high DS. The prediction models of the load capacity and susceptibility of the soil to general compaction and grouped according to the levels of S + A showed acceptable coefficients of determination (≥ 60%). In general, p and CI can be estimated by linear regression models using easily measured soil attributes for a wide range of texture, CO and management. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020-02-18 |
dc.date.accessioned.fl_str_mv |
2023-06-21T16:33:45Z |
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.citation.fl_str_mv |
TOLÊDO, Matheus Phelippe Santos. Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco. 2020. 48 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9103 |
identifier_str_mv |
TOLÊDO, Matheus Phelippe Santos. Suscetibilidade e predição da compactação de solos cultivados com cana-de-açúcar em Pernambuco. 2020. 48 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
url |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9103 |
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Universidade Federal Rural de Pernambuco |
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