Quality monitoring of soybean seed tests using Statistical Process Control

Detalhes bibliográficos
Autor(a) principal: Alcantara, Aline S. [UNESP]
Data de Publicação: 2018
Outros Autores: Prado, Jessica P. do [UNESP], Correa, Rafael de G. [UNESP], Silva, Rouverson P. da [UNESP], Voltarelli, Murilo A., Vieira, Roberval D. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1807-1929/agriambi.v22n10p689-695
http://hdl.handle.net/11449/186429
Resumo: 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.
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spelling Quality monitoring of soybean seed tests using Statistical Process ControlGlycine max L.control chartsquality indicatorsseed viabilityThe 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.Univ Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP, BrazilUniv Fed Sao Carlos, Sao Carlos, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP, BrazilUniv Federal Campina GrandeUniversidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Alcantara, Aline S. [UNESP]Prado, Jessica P. do [UNESP]Correa, Rafael de G. [UNESP]Silva, Rouverson P. da [UNESP]Voltarelli, Murilo A.Vieira, Roberval D. [UNESP]2019-10-04T22:22:38Z2019-10-04T22:22:38Z2018-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article689-695application/pdfhttp://dx.doi.org/10.1590/1807-1929/agriambi.v22n10p689-695Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 22, n. 10, p. 689-695, 2018.1807-1929http://hdl.handle.net/11449/18642910.1590/1807-1929/agriambi.v22n10p689-695S1415-43662018001000689WOS:000446345700005S1415-43662018001000689.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira De Engenharia Agricola E Ambientalinfo:eu-repo/semantics/openAccess2024-06-06T15:18:57Zoai:repositorio.unesp.br:11449/186429Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:52:39.387644Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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
Alcantara, Aline S. [UNESP]
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 Alcantara, Aline S. [UNESP]
author_facet Alcantara, Aline S. [UNESP]
Prado, Jessica P. do [UNESP]
Correa, Rafael de G. [UNESP]
Silva, Rouverson P. da [UNESP]
Voltarelli, Murilo A.
Vieira, Roberval D. [UNESP]
author_role author
author2 Prado, Jessica P. do [UNESP]
Correa, Rafael de G. [UNESP]
Silva, Rouverson P. da [UNESP]
Voltarelli, Murilo A.
Vieira, Roberval D. [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de São Carlos (UFSCar)
dc.contributor.author.fl_str_mv Alcantara, Aline S. [UNESP]
Prado, Jessica P. do [UNESP]
Correa, Rafael de G. [UNESP]
Silva, Rouverson P. da [UNESP]
Voltarelli, Murilo A.
Vieira, Roberval D. [UNESP]
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 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
2019-10-04T22:22:38Z
2019-10-04T22:22:38Z
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 http://dx.doi.org/10.1590/1807-1929/agriambi.v22n10p689-695
Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 22, n. 10, p. 689-695, 2018.
1807-1929
http://hdl.handle.net/11449/186429
10.1590/1807-1929/agriambi.v22n10p689-695
S1415-43662018001000689
WOS:000446345700005
S1415-43662018001000689.pdf
url http://dx.doi.org/10.1590/1807-1929/agriambi.v22n10p689-695
http://hdl.handle.net/11449/186429
identifier_str_mv Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 22, n. 10, p. 689-695, 2018.
1807-1929
10.1590/1807-1929/agriambi.v22n10p689-695
S1415-43662018001000689
WOS:000446345700005
S1415-43662018001000689.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Brasileira De Engenharia Agricola E Ambiental
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 689-695
application/pdf
dc.publisher.none.fl_str_mv Univ Federal Campina Grande
publisher.none.fl_str_mv Univ Federal Campina Grande
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129561424035840

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