Soil moisture space-time analysis to support improved crop management

Detalhes bibliográficos
Autor(a) principal: Silva, Bruno Montoani
Data de Publicação: 2015
Outros Autores: Santos, Walbert Junior Reis dos, Oliveira, Geraldo César de, Lima, José Maria de, Curi, Nilton, Marques, João José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/13190
Resumo: The knowledge of the water content in the soil profile is essential for an efficient management of crop growth and development. This work aimed to use geostatistical techniques in a spatio-temporal study of soil moisture in an Oxisol in order to provide that information for improved crop management. Data were collected in a coffee crop area at São Roque de Minas, in the upper São Francisco River basin, MG state, Brazil. The soil moisture was measured with a multi-sensor capacitance (MCP) probe at 10-, 20-, 30-, 40-, 60- and 100-cm depths between March and December, 2010. After adjusting the spherical semivariogram model using ordinary least squares, best model, the values were interpolated by kriging in order to have a continuous surface relating depth x time (CSDT) and the soil water availability to plant (SWAP). The results allowed additional insight on the dynamics of soil water and its availability to plant, and pointed to the effects of climate on the soil water content. These results also allowed identifying when and where there was greater water consumption by the plants, and the soil layers where water was available and potentially explored by the plant root system.
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spelling Soil moisture space-time analysis to support improved crop managementAnálise espaço-temporal da umidade do solo como apoio para melhoria do manejo da culturaWater use efficiencySoil managementDeep soil tillagePlant-available waterEficiência de uso da águaManejo do soloPreparo profundo do soloDisponibilidade de água para a plantaThe knowledge of the water content in the soil profile is essential for an efficient management of crop growth and development. This work aimed to use geostatistical techniques in a spatio-temporal study of soil moisture in an Oxisol in order to provide that information for improved crop management. Data were collected in a coffee crop area at São Roque de Minas, in the upper São Francisco River basin, MG state, Brazil. The soil moisture was measured with a multi-sensor capacitance (MCP) probe at 10-, 20-, 30-, 40-, 60- and 100-cm depths between March and December, 2010. After adjusting the spherical semivariogram model using ordinary least squares, best model, the values were interpolated by kriging in order to have a continuous surface relating depth x time (CSDT) and the soil water availability to plant (SWAP). The results allowed additional insight on the dynamics of soil water and its availability to plant, and pointed to the effects of climate on the soil water content. These results also allowed identifying when and where there was greater water consumption by the plants, and the soil layers where water was available and potentially explored by the plant root system.O conhecimento do conteúdo de água no perfil do solo é essencial para um manejo eficiente das culturas. Objetivou-se, neste trabalho,utilizar técnicas de geoestatística no estudo espaço-temporal da água em um Latossolo Vermelho. Os dados foram coletados em área de cafeicultura no município de São Roque de Minas, na região Alto São Francisco, MG. O conteúdo de água no solo foi obtidopor meio de uma sonda com multissensores de capacitância (MCP) nas profundidades de 10 cm, 20 cm, 30 cm, 40 cm, 60 cm e 100 cm, entre março a dezembro de 2010. Após o ajuste do semivariograma no modelo esférico, utilizando mínimos quadrados ordinários, melhor modelo,interpolaram-se os valores por meio de krigagem, gerando uma superfície contínua, profundidade versus tempo (SCPT) e superfície de disponibilidade de água para a planta (SDAP). Os resultados permitiram um entendimento adicional da dinâmica da água armazenada no solo e sua disponibilidade para a planta, mostrando os efeitos do clima na variação do conteúdo de água e também, principalmente, dos períodos e camadas, onde houve maior consumo hídrico pela planta e regiões onde há água disponível no solo, potencialmente explorável pelo sistema radicular.Editora da Universidade Federal de Lavras2017-06-06T21:20:24Z2017-06-06T21:20:24Z2015-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, B. M. et al. Soil moisture space-time analysis to support improved crop management. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 39-47, jan./fev. 2015.http://repositorio.ufla.br/jspui/handle/1/13190Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLASilva, Bruno MontoaniSantos, Walbert Junior Reis dosOliveira, Geraldo César deLima, José Maria deCuri, NiltonMarques, João Joséinfo:eu-repo/semantics/openAccesseng2017-06-06T21:20:24Zoai:localhost:1/13190Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2017-06-06T21:20:24Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Soil moisture space-time analysis to support improved crop management
Análise espaço-temporal da umidade do solo como apoio para melhoria do manejo da cultura
title Soil moisture space-time analysis to support improved crop management
spellingShingle Soil moisture space-time analysis to support improved crop management
Silva, Bruno Montoani
Water use efficiency
Soil management
Deep soil tillage
Plant-available water
Eficiência de uso da água
Manejo do solo
Preparo profundo do solo
Disponibilidade de água para a planta
title_short Soil moisture space-time analysis to support improved crop management
title_full Soil moisture space-time analysis to support improved crop management
title_fullStr Soil moisture space-time analysis to support improved crop management
title_full_unstemmed Soil moisture space-time analysis to support improved crop management
title_sort Soil moisture space-time analysis to support improved crop management
author Silva, Bruno Montoani
author_facet Silva, Bruno Montoani
Santos, Walbert Junior Reis dos
Oliveira, Geraldo César de
Lima, José Maria de
Curi, Nilton
Marques, João José
author_role author
author2 Santos, Walbert Junior Reis dos
Oliveira, Geraldo César de
Lima, José Maria de
Curi, Nilton
Marques, João José
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Bruno Montoani
Santos, Walbert Junior Reis dos
Oliveira, Geraldo César de
Lima, José Maria de
Curi, Nilton
Marques, João José
dc.subject.por.fl_str_mv Water use efficiency
Soil management
Deep soil tillage
Plant-available water
Eficiência de uso da água
Manejo do solo
Preparo profundo do solo
Disponibilidade de água para a planta
topic Water use efficiency
Soil management
Deep soil tillage
Plant-available water
Eficiência de uso da água
Manejo do solo
Preparo profundo do solo
Disponibilidade de água para a planta
description The knowledge of the water content in the soil profile is essential for an efficient management of crop growth and development. This work aimed to use geostatistical techniques in a spatio-temporal study of soil moisture in an Oxisol in order to provide that information for improved crop management. Data were collected in a coffee crop area at São Roque de Minas, in the upper São Francisco River basin, MG state, Brazil. The soil moisture was measured with a multi-sensor capacitance (MCP) probe at 10-, 20-, 30-, 40-, 60- and 100-cm depths between March and December, 2010. After adjusting the spherical semivariogram model using ordinary least squares, best model, the values were interpolated by kriging in order to have a continuous surface relating depth x time (CSDT) and the soil water availability to plant (SWAP). The results allowed additional insight on the dynamics of soil water and its availability to plant, and pointed to the effects of climate on the soil water content. These results also allowed identifying when and where there was greater water consumption by the plants, and the soil layers where water was available and potentially explored by the plant root system.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
2017-06-06T21:20:24Z
2017-06-06T21:20:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv SILVA, B. M. et al. Soil moisture space-time analysis to support improved crop management. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 39-47, jan./fev. 2015.
http://repositorio.ufla.br/jspui/handle/1/13190
identifier_str_mv SILVA, B. M. et al. Soil moisture space-time analysis to support improved crop management. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 39-47, jan./fev. 2015.
url http://repositorio.ufla.br/jspui/handle/1/13190
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da Universidade Federal de Lavras
publisher.none.fl_str_mv Editora da Universidade Federal de Lavras
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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