Assessing pedotransfer functions to estimate the soil water retention

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Bruno Teixeira
Data de Publicação: 2018
Outros Autores: da Costa, Adriana Monteiro, Silva, Bruno Montoani, Franco, Fernando Oliveira, Borges, Camila Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/42371
Resumo: Considering the importance of soil water retention for agricultural and environmental purposes, the objective of this study was to assess three pedotransfer functions (PTFs) used to estimate the soil moisture at field capacity (FC) based on soil attributes easily determined. A collection of 17 soils from the Cerrado and Pantanal biomes, including surface and subsurface horizons, was used. PTF-1 considers clay, organic matter, coarse sand, and microporosity; PTF-2 clay, total sand, and organic matter; and PTF-3 only microporosity. The estimated FC values were correlated to soil moisture values measured at different soil water potentials (0, 6, 10, 33, 100, 300, and 1500 kPa) to verify which potential corresponded to estimated FC. The data were subjected to regression analysis and Mann-Whitney rank-sum test to compare predicted and measured values and to principal component analysis (PCA). The analysis of the full dataset indicated that there was a strong correlation (R 0.84-0.91; R2 0.71-0.82; RMSE 0.07-0.09) between estimated FC and soil water retention measured at potentials of 10 kPa and 33 kPa. FC estimated by PTF-3 correlated better with water holding capacity at 6 kPa. When the PTFs were reapplied to homogeneous soil groups (identified by PCA analysis), the correlation between predicted and measured FC was decreased.
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spelling Assessing pedotransfer functions to estimate the soil water retention Validação de funções de pedotransferência para estimativa da retenção de água no soloSoil-water retentionPrincipal component analysisSoil moistureAgricultural SciencesConsidering the importance of soil water retention for agricultural and environmental purposes, the objective of this study was to assess three pedotransfer functions (PTFs) used to estimate the soil moisture at field capacity (FC) based on soil attributes easily determined. A collection of 17 soils from the Cerrado and Pantanal biomes, including surface and subsurface horizons, was used. PTF-1 considers clay, organic matter, coarse sand, and microporosity; PTF-2 clay, total sand, and organic matter; and PTF-3 only microporosity. The estimated FC values were correlated to soil moisture values measured at different soil water potentials (0, 6, 10, 33, 100, 300, and 1500 kPa) to verify which potential corresponded to estimated FC. The data were subjected to regression analysis and Mann-Whitney rank-sum test to compare predicted and measured values and to principal component analysis (PCA). The analysis of the full dataset indicated that there was a strong correlation (R 0.84-0.91; R2 0.71-0.82; RMSE 0.07-0.09) between estimated FC and soil water retention measured at potentials of 10 kPa and 33 kPa. FC estimated by PTF-3 correlated better with water holding capacity at 6 kPa. When the PTFs were reapplied to homogeneous soil groups (identified by PCA analysis), the correlation between predicted and measured FC was decreased.Considerando a importância da retenção de água no solo para fins agronômicos e ambientais, objetivou-se com este trabalho avaliar três funções de pedotransferência (FP) para estimativa da capacidade de campo(CC) com base em atributos de solo facilmente determinados. Uma coleção de 17 solos dos biomas Cerrado e Pantanal, incluindo amostras superficiais e subsuperficiais, foram utilizadas. FP 1 considera o conteúdo de argila, matéria orgânica, areia grossa e microporosidade. FP 2 considera argila, areia total e matéria orgânica. A FP 3 leva em consideração apenas microporosidade. Os valores estimados de CC foram correlacionados aos valores de umidade obtidos em diferentes potenciais (0, 6, 10, 33, 100, 300, and 1500 kPa) com o intuito de verificar qual potencial corresponde à CC estimada. Os dados foram submetidos à análise de regressão, ao teste Mann-Whitney rank-sum para comparar valores medidos e estimados e realizada análise de componentes principais (PCA). Considerando todo o conjunto de dados, foi obtida umaforte correlação (R 0.84–0.91; R2 0.71–0.82; RMSE 0.07–0.09) entre CC estimada e a umidade do solo obtida nos potenciais de 10 kPa e 33 kPa. A CC estimada pela FP 3 correlacionou melhor com a retenção de água no potencial de 6 kPa. Quando as FP’s foram reaplicadas em grupos de solos homogêneos (identificados pela PCA), a correlação entre valores estimados e medidos diminuiu.EDUFU2018-12-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4237110.14393/BJ-v34n6a2018-42371Bioscience Journal ; Vol. 34 (2018): Supplement 1; 177-188Bioscience Journal ; v. 34 (2018): Supplement 1; 177-1881981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/42371/24804Brazil; ContemporaryCopyright (c) 2018 Bruno Teixeira Ribeiro, Adriana Monteiro da Costa, Bruno Montoani Silva, Fernando Oliveira Franco, Camila Silva Borgeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRibeiro, Bruno Teixeirada Costa, Adriana MonteiroSilva, Bruno MontoaniFranco, Fernando OliveiraBorges, Camila Silva2022-03-23T17:56:47Zoai:ojs.www.seer.ufu.br:article/42371Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-03-23T17:56:47Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Assessing pedotransfer functions to estimate the soil water retention
Validação de funções de pedotransferência para estimativa da retenção de água no solo
title Assessing pedotransfer functions to estimate the soil water retention
spellingShingle Assessing pedotransfer functions to estimate the soil water retention
Ribeiro, Bruno Teixeira
Soil-water retention
Principal component analysis
Soil moisture
Agricultural Sciences
title_short Assessing pedotransfer functions to estimate the soil water retention
title_full Assessing pedotransfer functions to estimate the soil water retention
title_fullStr Assessing pedotransfer functions to estimate the soil water retention
title_full_unstemmed Assessing pedotransfer functions to estimate the soil water retention
title_sort Assessing pedotransfer functions to estimate the soil water retention
author Ribeiro, Bruno Teixeira
author_facet Ribeiro, Bruno Teixeira
da Costa, Adriana Monteiro
Silva, Bruno Montoani
Franco, Fernando Oliveira
Borges, Camila Silva
author_role author
author2 da Costa, Adriana Monteiro
Silva, Bruno Montoani
Franco, Fernando Oliveira
Borges, Camila Silva
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ribeiro, Bruno Teixeira
da Costa, Adriana Monteiro
Silva, Bruno Montoani
Franco, Fernando Oliveira
Borges, Camila Silva
dc.subject.por.fl_str_mv Soil-water retention
Principal component analysis
Soil moisture
Agricultural Sciences
topic Soil-water retention
Principal component analysis
Soil moisture
Agricultural Sciences
description Considering the importance of soil water retention for agricultural and environmental purposes, the objective of this study was to assess three pedotransfer functions (PTFs) used to estimate the soil moisture at field capacity (FC) based on soil attributes easily determined. A collection of 17 soils from the Cerrado and Pantanal biomes, including surface and subsurface horizons, was used. PTF-1 considers clay, organic matter, coarse sand, and microporosity; PTF-2 clay, total sand, and organic matter; and PTF-3 only microporosity. The estimated FC values were correlated to soil moisture values measured at different soil water potentials (0, 6, 10, 33, 100, 300, and 1500 kPa) to verify which potential corresponded to estimated FC. The data were subjected to regression analysis and Mann-Whitney rank-sum test to compare predicted and measured values and to principal component analysis (PCA). The analysis of the full dataset indicated that there was a strong correlation (R 0.84-0.91; R2 0.71-0.82; RMSE 0.07-0.09) between estimated FC and soil water retention measured at potentials of 10 kPa and 33 kPa. FC estimated by PTF-3 correlated better with water holding capacity at 6 kPa. When the PTFs were reapplied to homogeneous soil groups (identified by PCA analysis), the correlation between predicted and measured FC was decreased.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/42371
10.14393/BJ-v34n6a2018-42371
url https://seer.ufu.br/index.php/biosciencejournal/article/view/42371
identifier_str_mv 10.14393/BJ-v34n6a2018-42371
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/42371/24804
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 34 (2018): Supplement 1; 177-188
Bioscience Journal ; v. 34 (2018): Supplement 1; 177-188
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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