Potassium estimation in the soil solution based on electrical conductivity and soil water content

Detalhes bibliográficos
Autor(a) principal: Andrade Neto,Torquato M. de
Data de Publicação: 2012
Outros Autores: Coelho,Eugênio F., Santana,José A. do V., Santana Júnior,Edvaldo B., Alves,Márcio da S.
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.
id UFCG-1_6fd14bffc51b16646beb0a7effe26507
oai_identifier_str oai:scielo:S1415-43662012000600005
network_acronym_str UFCG-1
network_name_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository_id_str
spelling 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