EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS

Detalhes bibliográficos
Autor(a) principal: Pereira, Francisco Elder Carlos Bezerra
Data de Publicação: 2022
Outros Autores: Jeromini, Tatiane Sanches, da SILVA, Givanildo Zildo, Torres, Salvador Barros, Martins, Cibele Chalita [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.14393/BJ-v38n0a2022-53754
http://hdl.handle.net/11449/241760
Resumo: The aim of this work was to identify efficient vigor tests for differentiating the seed lots, forecasting seedling emergence in the field and assessing the physiological quality of Panicum maximum seeds. 12 seed lots from the cultivar Tanzania and 11 seed lots from the cultivar Massai were evaluated for water content, germination, first count and germination speed index, emergence and first emergence count of seedlings in sand, root length and shoot length, analysis of SVIS® images (seedling length, vigor and uniformity index) and seedling emergence in the field. The work was conducted in a completely randomized design for tests performed in the laboratory and in randomized blocks for tests in the field. The data were subjected to analysis of variance and the means compared by Scott Knott's test at 5% probability and statistical multivariate clustering analysis and principal components analysis. The shoot and root length tests are efficient for the evaluation of the physiological potential of P. maximum cv. Massai, while the seedling length, vigor index and growth uniformity index tests using image analysis, seedling emergence in sand and first seedling emergence count in sand are efficient in assessing the physiological potential of seeds of P. maximum cv. Tanzania, and providing information similar to that of seedling emergence in the field.
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spelling EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSISImage AnalysisMassai GrassMultivariate StatisticsSVIS®Tanzania GrassThe aim of this work was to identify efficient vigor tests for differentiating the seed lots, forecasting seedling emergence in the field and assessing the physiological quality of Panicum maximum seeds. 12 seed lots from the cultivar Tanzania and 11 seed lots from the cultivar Massai were evaluated for water content, germination, first count and germination speed index, emergence and first emergence count of seedlings in sand, root length and shoot length, analysis of SVIS® images (seedling length, vigor and uniformity index) and seedling emergence in the field. The work was conducted in a completely randomized design for tests performed in the laboratory and in randomized blocks for tests in the field. The data were subjected to analysis of variance and the means compared by Scott Knott's test at 5% probability and statistical multivariate clustering analysis and principal components analysis. The shoot and root length tests are efficient for the evaluation of the physiological potential of P. maximum cv. Massai, while the seedling length, vigor index and growth uniformity index tests using image analysis, seedling emergence in sand and first seedling emergence count in sand are efficient in assessing the physiological potential of seeds of P. maximum cv. Tanzania, and providing information similar to that of seedling emergence in the field.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Agricultural Engineer at Pastotech, Minas GeraisSeed Analyst at BASF, GoiásFederal University of Goiás, GoiásFederal Rural University of the Semi-Arid, Rio Grande do NorteDepartament of Crop Production São Paulo State University “Júlio de Mesquita Filho”, São PauloDepartament of Crop Production São Paulo State University “Júlio de Mesquita Filho”, São PauloCAPES: 001Agricultural Engineer at PastotechSeed Analyst at BASFUniversidade Federal de Goiás (UFG)Federal Rural University of the Semi-AridUniversidade Estadual Paulista (UNESP)Pereira, Francisco Elder Carlos BezerraJeromini, Tatiane Sanchesda SILVA, Givanildo ZildoTorres, Salvador BarrosMartins, Cibele Chalita [UNESP]2023-03-01T23:41:12Z2023-03-01T23:41:12Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.14393/BJ-v38n0a2022-53754Bioscience Journal, v. 38.1981-31631516-3725http://hdl.handle.net/11449/24176010.14393/BJ-v38n0a2022-537542-s2.0-85128639353Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBioscience Journalinfo:eu-repo/semantics/openAccess2024-06-07T13:56:54Zoai:repositorio.unesp.br:11449/241760Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:07:53.364185Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
title EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
spellingShingle EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
Pereira, Francisco Elder Carlos Bezerra
Image Analysis
Massai Grass
Multivariate Statistics
SVIS®
Tanzania Grass
title_short EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
title_full EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
title_fullStr EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
title_full_unstemmed EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
title_sort EVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSIS
author Pereira, Francisco Elder Carlos Bezerra
author_facet Pereira, Francisco Elder Carlos Bezerra
Jeromini, Tatiane Sanches
da SILVA, Givanildo Zildo
Torres, Salvador Barros
Martins, Cibele Chalita [UNESP]
author_role author
author2 Jeromini, Tatiane Sanches
da SILVA, Givanildo Zildo
Torres, Salvador Barros
Martins, Cibele Chalita [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Agricultural Engineer at Pastotech
Seed Analyst at BASF
Universidade Federal de Goiás (UFG)
Federal Rural University of the Semi-Arid
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Pereira, Francisco Elder Carlos Bezerra
Jeromini, Tatiane Sanches
da SILVA, Givanildo Zildo
Torres, Salvador Barros
Martins, Cibele Chalita [UNESP]
dc.subject.por.fl_str_mv Image Analysis
Massai Grass
Multivariate Statistics
SVIS®
Tanzania Grass
topic Image Analysis
Massai Grass
Multivariate Statistics
SVIS®
Tanzania Grass
description The aim of this work was to identify efficient vigor tests for differentiating the seed lots, forecasting seedling emergence in the field and assessing the physiological quality of Panicum maximum seeds. 12 seed lots from the cultivar Tanzania and 11 seed lots from the cultivar Massai were evaluated for water content, germination, first count and germination speed index, emergence and first emergence count of seedlings in sand, root length and shoot length, analysis of SVIS® images (seedling length, vigor and uniformity index) and seedling emergence in the field. The work was conducted in a completely randomized design for tests performed in the laboratory and in randomized blocks for tests in the field. The data were subjected to analysis of variance and the means compared by Scott Knott's test at 5% probability and statistical multivariate clustering analysis and principal components analysis. The shoot and root length tests are efficient for the evaluation of the physiological potential of P. maximum cv. Massai, while the seedling length, vigor index and growth uniformity index tests using image analysis, seedling emergence in sand and first seedling emergence count in sand are efficient in assessing the physiological potential of seeds of P. maximum cv. Tanzania, and providing information similar to that of seedling emergence in the field.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-03-01T23:41:12Z
2023-03-01T23:41:12Z
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/10.14393/BJ-v38n0a2022-53754
Bioscience Journal, v. 38.
1981-3163
1516-3725
http://hdl.handle.net/11449/241760
10.14393/BJ-v38n0a2022-53754
2-s2.0-85128639353
url http://dx.doi.org/10.14393/BJ-v38n0a2022-53754
http://hdl.handle.net/11449/241760
identifier_str_mv Bioscience Journal, v. 38.
1981-3163
1516-3725
10.14393/BJ-v38n0a2022-53754
2-s2.0-85128639353
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bioscience Journal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
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
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