Tests to evaluate the physiological potential of Mombasa grass seeds

Detalhes bibliográficos
Autor(a) principal: Pereira,Francisco Elder Carlos Bezerra
Data de Publicação: 2020
Outros Autores: Martins,Cibele Chalita, Jeromini,Tatiane Sanches, Gomes-Junior,Francisco Guilhien, Torres,Salvador Barros
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000100407
Resumo: ABSTRACT Identifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS® software. The experimental design was completely randomized for the tests performed in the laboratory and randomized blocks for the emergence test in the field. The data were subjected to analysis of variance and the means were compared by Scott-Knott test at 5% probability level. Cluster analysis of seed lots and principal component analysis were performed. The uniformity index, evaluated by image analysis and by the root length test, is efficient in evaluating the physiological potential of seeds of Panicum maximum, cv. Mombasa, providing information similar to those obtained with the test of seedling emergence in the field.
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spelling Tests to evaluate the physiological potential of Mombasa grass seedsPanicum maximumSVIS®Principal componentVigorImage analysisABSTRACT Identifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS® software. The experimental design was completely randomized for the tests performed in the laboratory and randomized blocks for the emergence test in the field. The data were subjected to analysis of variance and the means were compared by Scott-Knott test at 5% probability level. Cluster analysis of seed lots and principal component analysis were performed. The uniformity index, evaluated by image analysis and by the root length test, is efficient in evaluating the physiological potential of seeds of Panicum maximum, cv. Mombasa, providing information similar to those obtained with the test of seedling emergence in the field.Universidade Federal do Ceará2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000100407Revista Ciência Agronômica v.51 n.1 2020reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20200009info:eu-repo/semantics/openAccessPereira,Francisco Elder Carlos BezerraMartins,Cibele ChalitaJeromini,Tatiane SanchesGomes-Junior,Francisco GuilhienTorres,Salvador Barroseng2020-01-29T00:00:00Zoai:scielo:S1806-66902020000100407Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2020-01-29T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Tests to evaluate the physiological potential of Mombasa grass seeds
title Tests to evaluate the physiological potential of Mombasa grass seeds
spellingShingle Tests to evaluate the physiological potential of Mombasa grass seeds
Pereira,Francisco Elder Carlos Bezerra
Panicum maximum
SVIS®
Principal component
Vigor
Image analysis
title_short Tests to evaluate the physiological potential of Mombasa grass seeds
title_full Tests to evaluate the physiological potential of Mombasa grass seeds
title_fullStr Tests to evaluate the physiological potential of Mombasa grass seeds
title_full_unstemmed Tests to evaluate the physiological potential of Mombasa grass seeds
title_sort Tests to evaluate the physiological potential of Mombasa grass seeds
author Pereira,Francisco Elder Carlos Bezerra
author_facet Pereira,Francisco Elder Carlos Bezerra
Martins,Cibele Chalita
Jeromini,Tatiane Sanches
Gomes-Junior,Francisco Guilhien
Torres,Salvador Barros
author_role author
author2 Martins,Cibele Chalita
Jeromini,Tatiane Sanches
Gomes-Junior,Francisco Guilhien
Torres,Salvador Barros
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pereira,Francisco Elder Carlos Bezerra
Martins,Cibele Chalita
Jeromini,Tatiane Sanches
Gomes-Junior,Francisco Guilhien
Torres,Salvador Barros
dc.subject.por.fl_str_mv Panicum maximum
SVIS®
Principal component
Vigor
Image analysis
topic Panicum maximum
SVIS®
Principal component
Vigor
Image analysis
description ABSTRACT Identifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS® software. The experimental design was completely randomized for the tests performed in the laboratory and randomized blocks for the emergence test in the field. The data were subjected to analysis of variance and the means were compared by Scott-Knott test at 5% probability level. Cluster analysis of seed lots and principal component analysis were performed. The uniformity index, evaluated by image analysis and by the root length test, is efficient in evaluating the physiological potential of seeds of Panicum maximum, cv. Mombasa, providing information similar to those obtained with the test of seedling emergence in the field.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S1806-66902020000100407
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000100407
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20200009
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 Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.51 n.1 2020
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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