Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments

Detalhes bibliográficos
Autor(a) principal: Szareski,Vinícius Jardel
Data de Publicação: 2018
Outros Autores: Carvalho,Ivan Ricardo, Demari,Gustavo Henrique, Rosa,Tiago Corazza da, Souza,Velci Queiróz de, Villela,Francisco Amaral, Pedó,Tiago, Aumonde,Tiago Zanatta
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Seed Science
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372018000400396
Resumo: Abstract : The objective of this work was to apply a multivariate index of vigor in soybean seeds to identify the differential effects of the genotypes x environments interaction on the quality of the seeds produced in the 2016/2017 harvest season. The experiment was conducted in a randomized block design, organized in the factorial scheme, with five seed production environments x 20 soybean genotypes, arranged in four replications. The seed production environments of Tenente Portela - RS and Santa Rosa - RS soybeans are characterized as the environments that express the highest magnitude for seed vigor index, however biometrically Sarandi - RS has been defined as the optimal environment for the production of high vigor seeds according to the tested genotypes. High seed vigor index were expressed for the genotypes TMG 7161 RR, AMS Tibagi RR, BMX Magna RR, Fepagro 37 RR and NA 5909 RG. The differential effects of the genotypes x production environments interaction of soybean seeds influenced by more than 68% the vigor index of the seeds produced.
id ABRATES-1_286779e39f5546fdefbf70a49cc1c02f
oai_identifier_str oai:scielo:S2317-15372018000400396
network_acronym_str ABRATES-1
network_name_str Journal of Seed Science
repository_id_str
spelling Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environmentsGlycine max L.multitraitdifferential effectsstrategic positioningseed productionAbstract : The objective of this work was to apply a multivariate index of vigor in soybean seeds to identify the differential effects of the genotypes x environments interaction on the quality of the seeds produced in the 2016/2017 harvest season. The experiment was conducted in a randomized block design, organized in the factorial scheme, with five seed production environments x 20 soybean genotypes, arranged in four replications. The seed production environments of Tenente Portela - RS and Santa Rosa - RS soybeans are characterized as the environments that express the highest magnitude for seed vigor index, however biometrically Sarandi - RS has been defined as the optimal environment for the production of high vigor seeds according to the tested genotypes. High seed vigor index were expressed for the genotypes TMG 7161 RR, AMS Tibagi RR, BMX Magna RR, Fepagro 37 RR and NA 5909 RG. The differential effects of the genotypes x production environments interaction of soybean seeds influenced by more than 68% the vigor index of the seeds produced.ABRATES - Associação Brasileira de Tecnologia de Sementes2018-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372018000400396Journal of Seed Science v.40 n.4 2018reponame:Journal of Seed Scienceinstname:Associação Brasileira de Tecnologia de Sementes (ABRATES)instacron:ABRATES10.1590/2317-1545v40n4198333info:eu-repo/semantics/openAccessSzareski,Vinícius JardelCarvalho,Ivan RicardoDemari,Gustavo HenriqueRosa,Tiago Corazza daSouza,Velci Queiróz deVillela,Francisco AmaralPedó,TiagoAumonde,Tiago Zanattaeng2018-11-23T00:00:00Zoai:scielo:S2317-15372018000400396Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2317-1537&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||abrates@abrates.org.br2317-15452317-1537opendoar:2018-11-23T00:00Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)false
dc.title.none.fl_str_mv Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
title Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
spellingShingle Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
Szareski,Vinícius Jardel
Glycine max L.
multitrait
differential effects
strategic positioning
seed production
title_short Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
title_full Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
title_fullStr Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
title_full_unstemmed Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
title_sort Multivariate index of soybean seed vigor: a new biometric approach applied to the effects of genotypes and environments
author Szareski,Vinícius Jardel
author_facet Szareski,Vinícius Jardel
Carvalho,Ivan Ricardo
Demari,Gustavo Henrique
Rosa,Tiago Corazza da
Souza,Velci Queiróz de
Villela,Francisco Amaral
Pedó,Tiago
Aumonde,Tiago Zanatta
author_role author
author2 Carvalho,Ivan Ricardo
Demari,Gustavo Henrique
Rosa,Tiago Corazza da
Souza,Velci Queiróz de
Villela,Francisco Amaral
Pedó,Tiago
Aumonde,Tiago Zanatta
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Szareski,Vinícius Jardel
Carvalho,Ivan Ricardo
Demari,Gustavo Henrique
Rosa,Tiago Corazza da
Souza,Velci Queiróz de
Villela,Francisco Amaral
Pedó,Tiago
Aumonde,Tiago Zanatta
dc.subject.por.fl_str_mv Glycine max L.
multitrait
differential effects
strategic positioning
seed production
topic Glycine max L.
multitrait
differential effects
strategic positioning
seed production
description Abstract : The objective of this work was to apply a multivariate index of vigor in soybean seeds to identify the differential effects of the genotypes x environments interaction on the quality of the seeds produced in the 2016/2017 harvest season. The experiment was conducted in a randomized block design, organized in the factorial scheme, with five seed production environments x 20 soybean genotypes, arranged in four replications. The seed production environments of Tenente Portela - RS and Santa Rosa - RS soybeans are characterized as the environments that express the highest magnitude for seed vigor index, however biometrically Sarandi - RS has been defined as the optimal environment for the production of high vigor seeds according to the tested genotypes. High seed vigor index were expressed for the genotypes TMG 7161 RR, AMS Tibagi RR, BMX Magna RR, Fepagro 37 RR and NA 5909 RG. The differential effects of the genotypes x production environments interaction of soybean seeds influenced by more than 68% the vigor index of the seeds produced.
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=S2317-15372018000400396
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372018000400396
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2317-1545v40n4198333
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 ABRATES - Associação Brasileira de Tecnologia de Sementes
publisher.none.fl_str_mv ABRATES - Associação Brasileira de Tecnologia de Sementes
dc.source.none.fl_str_mv Journal of Seed Science v.40 n.4 2018
reponame:Journal of Seed Science
instname:Associação Brasileira de Tecnologia de Sementes (ABRATES)
instacron:ABRATES
instname_str Associação Brasileira de Tecnologia de Sementes (ABRATES)
instacron_str ABRATES
institution ABRATES
reponame_str Journal of Seed Science
collection Journal of Seed Science
repository.name.fl_str_mv Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)
repository.mail.fl_str_mv ||abrates@abrates.org.br
_version_ 1754212982835904512

Registros relacionados