Funções de pedotransferência para solos do sul do Uruguai

Detalhes bibliográficos
Ano de defesa: 2011
Autor(a) principal: Barboza, Fabrício da Silva lattes
Orientador(a): Carlesso, Reimar lattes
Banca de defesa: Gallarreta, Claudio Cesar Garcia lattes, Michelon, Cleudson José lattes
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Agrícola
Departamento: Engenharia Agrícola
País: BR
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.ufsm.br/handle/1/7537
Resumo: The continuous search for information that will assist agricultural practices is today relevant, being the primary use of methodologies to facilitate the determination of relevant parameters in the agricultural productivity. Alternative methods for determining the physical and hydro soils can auxiliary in the monitoring of agricultural activity. Among these, the use stands of pedotransfer functions (FPTs), among other properties, provide an indirect measure of water retention of soil, reducing cost, time and manpower. This study aims to use multiple linear regression models to determine the FPTs for the soils of southern Uruguay to the practical use at laboratories in soil physics, to obtain the curve of retention. For the realization of the work, used 251 samples of superficial, intermediate and inferior soils of southern Uruguay, available in the database of physical analysis of the INIA (Instituto Nacional de Investigación Agropecuaria). This database consists of information of soil texture (percentage sand, silt and clay), bulk density, porosity of the soil, besides the information of water content at potentials of 0, -3, -30, -100, -500 and -1500 kPa. The organization of the database was organized randomly, which is subdivided into two banks, one with 60% of the data (development of FPTs) and the other with 40% of the data (validation of FPTs). The data used to develop the FPTs were included in the Statistical Analysis System (SAS), in its method of determining equations of multiple linear regression (stepwise). Being generated FPTs to estimate water retention at potentials of -30, -100, -500 and -1500 kPa for the superficial layers (0-20 cm), intermediate (20-40 cm) and bottom (40-60 cm ) of the soil profile. The equations presented in its constitution datas textural and structural soil and observed that the statistical indicators mean error and root mean square error squared values were near zero, indicating good accuracy in the determination of residual moisture through the FPTs. In general can say that the attribute structure, water content remaining in the soil after application potential of -3 kPa, was significant in all the FPTs developed. We conclude that the FPTs developed to estimate the water content remaining in the soil at potentials of -30, - 100, -500 and -1500 kPa were good, could be used as an alternative in the construction of water retention curve in soils that have characteristics that fall under the requirements of the FPTs developed for the soils of southern Uruguay.
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spelling 2011-03-312011-03-312011-01-17BARBOZA, Fabrício da Silva. DEVELOPMENT OF PEDOTRANSFER FUNCTIONS FOR SOIL TYPES OF SOUTHERN URUGUAY. 2011. 95 f. Dissertação (Mestrado em Engenharia Agrícola) - Universidade Federal de Santa Maria, Santa Maria, 2011.http://repositorio.ufsm.br/handle/1/7537The continuous search for information that will assist agricultural practices is today relevant, being the primary use of methodologies to facilitate the determination of relevant parameters in the agricultural productivity. Alternative methods for determining the physical and hydro soils can auxiliary in the monitoring of agricultural activity. Among these, the use stands of pedotransfer functions (FPTs), among other properties, provide an indirect measure of water retention of soil, reducing cost, time and manpower. This study aims to use multiple linear regression models to determine the FPTs for the soils of southern Uruguay to the practical use at laboratories in soil physics, to obtain the curve of retention. For the realization of the work, used 251 samples of superficial, intermediate and inferior soils of southern Uruguay, available in the database of physical analysis of the INIA (Instituto Nacional de Investigación Agropecuaria). This database consists of information of soil texture (percentage sand, silt and clay), bulk density, porosity of the soil, besides the information of water content at potentials of 0, -3, -30, -100, -500 and -1500 kPa. The organization of the database was organized randomly, which is subdivided into two banks, one with 60% of the data (development of FPTs) and the other with 40% of the data (validation of FPTs). The data used to develop the FPTs were included in the Statistical Analysis System (SAS), in its method of determining equations of multiple linear regression (stepwise). Being generated FPTs to estimate water retention at potentials of -30, -100, -500 and -1500 kPa for the superficial layers (0-20 cm), intermediate (20-40 cm) and bottom (40-60 cm ) of the soil profile. The equations presented in its constitution datas textural and structural soil and observed that the statistical indicators mean error and root mean square error squared values were near zero, indicating good accuracy in the determination of residual moisture through the FPTs. In general can say that the attribute structure, water content remaining in the soil after application potential of -3 kPa, was significant in all the FPTs developed. We conclude that the FPTs developed to estimate the water content remaining in the soil at potentials of -30, - 100, -500 and -1500 kPa were good, could be used as an alternative in the construction of water retention curve in soils that have characteristics that fall under the requirements of the FPTs developed for the soils of southern Uruguay.A busca contínua por informações que venham a auxiliar nas práticas agrícolas é fato relevante nos dias atuais, sendo primordial a utilização de metodologias que facilitem a determinação de parâmetros determinantes na produtividade agrícola, primando pela facilidade e agilidade nas determinações. Métodos alternativos para determinação das características físicohidricas dos solos podem auxiliar no monitoramento da atividade agrícola. Dentre estes, salienta-se o uso de funções de pedotransferência (FPTs) que, entre outras propriedades, possibilitam a determinação indireta da curva de retenção de água do solo, reduzindo custos, tempo e mão-de-obra. O presente estudo objetiva utilizar de modelos de regressão linear múltipla para determinação de FPTs para os solos do Sul do Uruguai, visando a utilização prática destas em laboratórios de física do solo, para a obtenção da curva de retenção dos mesmos. Para a realização do trabalho foram utilizadas 251 amostras das camadas superficial, intermediária e inferior de solos do Sul do Uruguai, disponíveis no banco de dados de análises físicas do INIA (Instituto Nacional de Investigación Agropecuaria). Esse banco de dados é composto por informações de textura do solo (percentuais de areia, silte e argila), densidade do solo, porosidade total do solo, além das informações do conteúdo de água nos potenciais de 0, -3, -30, -100, -500 e -1500 kPa. A organização do banco de dados foi realizada de forma aleatória, sendo este subdividindo em dois bancos, um com 60% dos dados (desenvolvimento das FPTs) e o outro com 40% dos dados (validação das FPTs). Os dados utilizados para o desenvolvimento das FPTs foram inseridos no programa Statistical Analysis System (SAS), em seu método de determinação de equações de regressão linear múltipla (Stepwise). Sendo geradas FPTs para estimar a retenção de água nos potenciais de -30, -100, - 500 e -1500 kPa, para as camadas superficial (0-20 cm), intermediária (20-40 cm) e inferior (40-60 cm) do perfil do solo. As equações obtidas apresentaram em sua constituição atributos texturais e estruturais do solo, sendo observado que, os indicadores estatísticos erro médio e raiz quadrada do erro médio ao quadrado apresentaram valores próximos a zero, indicando boa acurácia na determinação da umidade residual através das FPTs estimadas. De modo geral pode-se afirmar que, o atributo estrutural, conteúdo de água remanescente no solo após aplicação de potencial de -3 kPa, foi significativo em todas as FPTs desenvolvidas. Conclui-se que as FPTs desenvolvidas para estimar o conteúdo de água remanescente no solo nos potenciais de -30, -100, -500 e -1500 kPa apresentam-se satisfatórias, podendo ser utilizadas como alternativa na construção da curva de retenção de água em solos que apresentem características que o enquadrem nos requisitos das FPTs desenvolvidas para os solos do Sul do Uruguai.Conselho Nacional de Desenvolvimento Científico e Tecnológicoapplication/pdfporUniversidade Federal de Santa MariaPrograma de Pós-Graduação em Engenharia AgrícolaUFSMBREngenharia AgrícolaCurva de retençãoStepwiseRegressão múltiplaPedofunçõesRetention curveStepwiseMultiple regressionCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLAFunções de pedotransferência para solos do sul do UruguaiDevelopment of pedotransfer functions for soil types of southern Uruguayinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisCarlesso, Reimarhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4787243P5Gallarreta, Claudio Cesar Garciahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4770230Z7Michelon, Cleudson Joséhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4765284E4http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4230423H4Barboza, Fabrício da Silva5003000000084005003003005001a6ccd1d-16e8-4110-910c-7178d86e09447440ef69-7b74-4b12-bd9c-0a82efe8f34645463421-abb7-4ac7-b51d-eb06bfe65da5f27e702b-adc3-4f75-9b27-bfca20fc25f5info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALBARBOZA, FABRICIO DA SILVA.pdfapplication/pdf1350674http://repositorio.ufsm.br/bitstream/1/7537/1/BARBOZA%2c%20FABRICIO%20DA%20SILVA.pdf39f24ed5e93fe6e6fb596cb72f007286MD51TEXTBARBOZA, FABRICIO DA SILVA.pdf.txtBARBOZA, FABRICIO DA SILVA.pdf.txtExtracted texttext/plain173789http://repositorio.ufsm.br/bitstream/1/7537/2/BARBOZA%2c%20FABRICIO%20DA%20SILVA.pdf.txt731d995260f0aeeb75433992ac5ff99eMD52THUMBNAILBARBOZA, FABRICIO DA SILVA.pdf.jpgBARBOZA, FABRICIO DA SILVA.pdf.jpgIM Thumbnailimage/jpeg4455http://repositorio.ufsm.br/bitstream/1/7537/3/BARBOZA%2c%20FABRICIO%20DA%20SILVA.pdf.jpg1a6a007caa49802a8cb239a55570772cMD531/75372022-08-25 10:27:32.006oai:repositorio.ufsm.br:1/7537Repositório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestopendoar:39132022-08-25T13:27:32Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Funções de pedotransferência para solos do sul do Uruguai
dc.title.alternative.eng.fl_str_mv Development of pedotransfer functions for soil types of southern Uruguay
title Funções de pedotransferência para solos do sul do Uruguai
spellingShingle Funções de pedotransferência para solos do sul do Uruguai
Barboza, Fabrício da Silva
Curva de retenção
Stepwise
Regressão múltipla
Pedofunções
Retention curve
Stepwise
Multiple regression
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Funções de pedotransferência para solos do sul do Uruguai
title_full Funções de pedotransferência para solos do sul do Uruguai
title_fullStr Funções de pedotransferência para solos do sul do Uruguai
title_full_unstemmed Funções de pedotransferência para solos do sul do Uruguai
title_sort Funções de pedotransferência para solos do sul do Uruguai
author Barboza, Fabrício da Silva
author_facet Barboza, Fabrício da Silva
author_role author
dc.contributor.advisor1.fl_str_mv Carlesso, Reimar
dc.contributor.advisor1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4787243P5
dc.contributor.referee1.fl_str_mv Gallarreta, Claudio Cesar Garcia
dc.contributor.referee1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4770230Z7
dc.contributor.referee2.fl_str_mv Michelon, Cleudson José
dc.contributor.referee2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4765284E4
dc.contributor.authorLattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4230423H4
dc.contributor.author.fl_str_mv Barboza, Fabrício da Silva
contributor_str_mv Carlesso, Reimar
Gallarreta, Claudio Cesar Garcia
Michelon, Cleudson José
dc.subject.por.fl_str_mv Curva de retenção
Stepwise
Regressão múltipla
Pedofunções
topic Curva de retenção
Stepwise
Regressão múltipla
Pedofunções
Retention curve
Stepwise
Multiple regression
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
dc.subject.eng.fl_str_mv Retention curve
Stepwise
Multiple regression
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description The continuous search for information that will assist agricultural practices is today relevant, being the primary use of methodologies to facilitate the determination of relevant parameters in the agricultural productivity. Alternative methods for determining the physical and hydro soils can auxiliary in the monitoring of agricultural activity. Among these, the use stands of pedotransfer functions (FPTs), among other properties, provide an indirect measure of water retention of soil, reducing cost, time and manpower. This study aims to use multiple linear regression models to determine the FPTs for the soils of southern Uruguay to the practical use at laboratories in soil physics, to obtain the curve of retention. For the realization of the work, used 251 samples of superficial, intermediate and inferior soils of southern Uruguay, available in the database of physical analysis of the INIA (Instituto Nacional de Investigación Agropecuaria). This database consists of information of soil texture (percentage sand, silt and clay), bulk density, porosity of the soil, besides the information of water content at potentials of 0, -3, -30, -100, -500 and -1500 kPa. The organization of the database was organized randomly, which is subdivided into two banks, one with 60% of the data (development of FPTs) and the other with 40% of the data (validation of FPTs). The data used to develop the FPTs were included in the Statistical Analysis System (SAS), in its method of determining equations of multiple linear regression (stepwise). Being generated FPTs to estimate water retention at potentials of -30, -100, -500 and -1500 kPa for the superficial layers (0-20 cm), intermediate (20-40 cm) and bottom (40-60 cm ) of the soil profile. The equations presented in its constitution datas textural and structural soil and observed that the statistical indicators mean error and root mean square error squared values were near zero, indicating good accuracy in the determination of residual moisture through the FPTs. In general can say that the attribute structure, water content remaining in the soil after application potential of -3 kPa, was significant in all the FPTs developed. We conclude that the FPTs developed to estimate the water content remaining in the soil at potentials of -30, - 100, -500 and -1500 kPa were good, could be used as an alternative in the construction of water retention curve in soils that have characteristics that fall under the requirements of the FPTs developed for the soils of southern Uruguay.
publishDate 2011
dc.date.accessioned.fl_str_mv 2011-03-31
dc.date.available.fl_str_mv 2011-03-31
dc.date.issued.fl_str_mv 2011-01-17
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dc.identifier.citation.fl_str_mv BARBOZA, Fabrício da Silva. DEVELOPMENT OF PEDOTRANSFER FUNCTIONS FOR SOIL TYPES OF SOUTHERN URUGUAY. 2011. 95 f. Dissertação (Mestrado em Engenharia Agrícola) - Universidade Federal de Santa Maria, Santa Maria, 2011.
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/7537
identifier_str_mv BARBOZA, Fabrício da Silva. DEVELOPMENT OF PEDOTRANSFER FUNCTIONS FOR SOIL TYPES OF SOUTHERN URUGUAY. 2011. 95 f. Dissertação (Mestrado em Engenharia Agrícola) - Universidade Federal de Santa Maria, Santa Maria, 2011.
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