Quality monitoring of soybean seed tests using Statistical Process Control

Detalhes bibliográficos
Autor(a) principal: Alcântara,Aline S.
Data de Publicação: 2018
Outros Autores: Prado,Jéssica P. do, Corrêa,Rafael de G., Silva,Rouverson P. da, Voltarelli,Murilo A., Vieira,Roberval D.
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=S1415-43662018001000689
Resumo: ABSTRACT The success of soybean cultivation depends on several factors, one which is the use of high-quality seeds, which can guarantee growth of the desired plant population. The objective of this study was to monitor possible failures during the seed production process, and to determine the association between germination and tetrazolium tests through tools of Statistical Process Control (CEP). The experimental design was based on premises of the CEP, using percentage of germination, seed viability, mechanical damage, bed bug, and moisture as indicators of quality. It is possible to detect flaws in the soybean production process through control charts, as well as through germination and tetrazolium tests; results indicated that germination failures are largely caused by mechanical damage and bed bug attacks.
id UFCG-1_2da9b50aef705468f5621569028e3e17
oai_identifier_str oai:scielo:S1415-43662018001000689
network_acronym_str UFCG-1
network_name_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository_id_str
spelling Quality monitoring of soybean seed tests using Statistical Process ControlGlycine max L.control chartsquality indicatorsseed viabilityABSTRACT The success of soybean cultivation depends on several factors, one which is the use of high-quality seeds, which can guarantee growth of the desired plant population. The objective of this study was to monitor possible failures during the seed production process, and to determine the association between germination and tetrazolium tests through tools of Statistical Process Control (CEP). The experimental design was based on premises of the CEP, using percentage of germination, seed viability, mechanical damage, bed bug, and moisture as indicators of quality. It is possible to detect flaws in the soybean production process through control charts, as well as through germination and tetrazolium tests; results indicated that germination failures are largely caused by mechanical damage and bed bug attacks.Departamento de Engenharia Agrícola - UFCG2018-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018001000689Revista Brasileira de Engenharia Agrícola e Ambiental v.22 n.10 2018reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v22n10p689-695info:eu-repo/semantics/openAccessAlcântara,Aline S.Prado,Jéssica P. doCorrêa,Rafael de G.Silva,Rouverson P. daVoltarelli,Murilo A.Vieira,Roberval D.eng2018-09-20T00:00:00Zoai:scielo:S1415-43662018001000689Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2018-09-20T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Quality monitoring of soybean seed tests using Statistical Process Control
title Quality monitoring of soybean seed tests using Statistical Process Control
spellingShingle Quality monitoring of soybean seed tests using Statistical Process Control
Alcântara,Aline S.
Glycine max L.
control charts
quality indicators
seed viability
title_short Quality monitoring of soybean seed tests using Statistical Process Control
title_full Quality monitoring of soybean seed tests using Statistical Process Control
title_fullStr Quality monitoring of soybean seed tests using Statistical Process Control
title_full_unstemmed Quality monitoring of soybean seed tests using Statistical Process Control
title_sort Quality monitoring of soybean seed tests using Statistical Process Control
author Alcântara,Aline S.
author_facet Alcântara,Aline S.
Prado,Jéssica P. do
Corrêa,Rafael de G.
Silva,Rouverson P. da
Voltarelli,Murilo A.
Vieira,Roberval D.
author_role author
author2 Prado,Jéssica P. do
Corrêa,Rafael de G.
Silva,Rouverson P. da
Voltarelli,Murilo A.
Vieira,Roberval D.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Alcântara,Aline S.
Prado,Jéssica P. do
Corrêa,Rafael de G.
Silva,Rouverson P. da
Voltarelli,Murilo A.
Vieira,Roberval D.
dc.subject.por.fl_str_mv Glycine max L.
control charts
quality indicators
seed viability
topic Glycine max L.
control charts
quality indicators
seed viability
description ABSTRACT The success of soybean cultivation depends on several factors, one which is the use of high-quality seeds, which can guarantee growth of the desired plant population. The objective of this study was to monitor possible failures during the seed production process, and to determine the association between germination and tetrazolium tests through tools of Statistical Process Control (CEP). The experimental design was based on premises of the CEP, using percentage of germination, seed viability, mechanical damage, bed bug, and moisture as indicators of quality. It is possible to detect flaws in the soybean production process through control charts, as well as through germination and tetrazolium tests; results indicated that germination failures are largely caused by mechanical damage and bed bug attacks.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-01
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=S1415-43662018001000689
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018001000689
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v22n10p689-695
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.22 n.10 2018
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_ 1750297686396895232

Registros relacionados