Soil moisture space-time analysis to support improved crop management
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1815439046602653696 |