Potassium estimation in the soil solution based on electrical conductivity and soil water content
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000600005 |
Resumo: | The objective of this work was to evaluate and to validate models for estimating potassium in the soil solution as a function of bulk electrical conductivity (ECw), soil water content (q) and a soil solution electrical conductivity (ECss). Treatments consisted of using three concentrations of injecting solution of potassium chloride (1.0, 2.5 and 4.0 g L-1) which were applied by two trickle irrigation systems (microsprinkler and drip) during the first cycle of the banana crop cv. Terra Maranhão. Results showed that it is feasible to estimate potassium concentration in the soil solution from data of ECss and q obtained by time domain reflectometry (TDR) using an equation that combined a linear and a potential model. The estimated values of potassium concentration were close to the ones measured along the crop cycle under field conditions, with a mean normalized deviation of 10.0%, maximum and minimum deviation of 5.0 and 13.0%, respectively. |
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Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
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Potassium estimation in the soil solution based on electrical conductivity and soil water contentTDRtrickle irrigationfertirrigationThe objective of this work was to evaluate and to validate models for estimating potassium in the soil solution as a function of bulk electrical conductivity (ECw), soil water content (q) and a soil solution electrical conductivity (ECss). Treatments consisted of using three concentrations of injecting solution of potassium chloride (1.0, 2.5 and 4.0 g L-1) which were applied by two trickle irrigation systems (microsprinkler and drip) during the first cycle of the banana crop cv. Terra Maranhão. Results showed that it is feasible to estimate potassium concentration in the soil solution from data of ECss and q obtained by time domain reflectometry (TDR) using an equation that combined a linear and a potential model. The estimated values of potassium concentration were close to the ones measured along the crop cycle under field conditions, with a mean normalized deviation of 10.0%, maximum and minimum deviation of 5.0 and 13.0%, respectively.Departamento de Engenharia Agrícola - UFCG2012-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000600005Revista Brasileira de Engenharia Agrícola e Ambiental v.16 n.6 2012reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/S1415-43662012000600005info:eu-repo/semantics/openAccessAndrade Neto,Torquato M. deCoelho,Eugênio F.Santana,José A. do V.Santana Júnior,Edvaldo B.Alves,Márcio da S.eng2012-05-23T00:00:00Zoai:scielo:S1415-43662012000600005Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2012-05-23T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false |
dc.title.none.fl_str_mv |
Potassium estimation in the soil solution based on electrical conductivity and soil water content |
title |
Potassium estimation in the soil solution based on electrical conductivity and soil water content |
spellingShingle |
Potassium estimation in the soil solution based on electrical conductivity and soil water content Andrade Neto,Torquato M. de TDR trickle irrigation fertirrigation |
title_short |
Potassium estimation in the soil solution based on electrical conductivity and soil water content |
title_full |
Potassium estimation in the soil solution based on electrical conductivity and soil water content |
title_fullStr |
Potassium estimation in the soil solution based on electrical conductivity and soil water content |
title_full_unstemmed |
Potassium estimation in the soil solution based on electrical conductivity and soil water content |
title_sort |
Potassium estimation in the soil solution based on electrical conductivity and soil water content |
author |
Andrade Neto,Torquato M. de |
author_facet |
Andrade Neto,Torquato M. de Coelho,Eugênio F. Santana,José A. do V. Santana Júnior,Edvaldo B. Alves,Márcio da S. |
author_role |
author |
author2 |
Coelho,Eugênio F. Santana,José A. do V. Santana Júnior,Edvaldo B. Alves,Márcio da S. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Andrade Neto,Torquato M. de Coelho,Eugênio F. Santana,José A. do V. Santana Júnior,Edvaldo B. Alves,Márcio da S. |
dc.subject.por.fl_str_mv |
TDR trickle irrigation fertirrigation |
topic |
TDR trickle irrigation fertirrigation |
description |
The objective of this work was to evaluate and to validate models for estimating potassium in the soil solution as a function of bulk electrical conductivity (ECw), soil water content (q) and a soil solution electrical conductivity (ECss). Treatments consisted of using three concentrations of injecting solution of potassium chloride (1.0, 2.5 and 4.0 g L-1) which were applied by two trickle irrigation systems (microsprinkler and drip) during the first cycle of the banana crop cv. Terra Maranhão. Results showed that it is feasible to estimate potassium concentration in the soil solution from data of ECss and q obtained by time domain reflectometry (TDR) using an equation that combined a linear and a potential model. The estimated values of potassium concentration were close to the ones measured along the crop cycle under field conditions, with a mean normalized deviation of 10.0%, maximum and minimum deviation of 5.0 and 13.0%, respectively. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000600005 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000600005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-43662012000600005 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental v.16 n.6 2012 reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online) instname:Universidade Federal de Campina Grande (UFCG) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
_version_ |
1750297681376313344 |