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

dc.contributor.authorPereira, Francisco Elder Carlos Bezerra
dc.contributor.authorJeromini, Tatiane Sanches
dc.contributor.authorda SILVA, Givanildo Zildo
dc.contributor.authorTorres, Salvador Barros
dc.contributor.authorMartins, Cibele Chalita [UNESP]
dc.contributor.institutionAgricultural Engineer at Pastotech
dc.contributor.institutionSeed Analyst at BASF
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.contributor.institutionFederal Rural University of the Semi-Arid
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-03-01T23:41:12Z
dc.date.available2023-03-01T23:41:12Z
dc.date.issued2022-01-01
dc.description.abstractThe 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.en
dc.description.affiliationAgricultural Engineer at Pastotech, Minas Gerais
dc.description.affiliationSeed Analyst at BASF, Goiás
dc.description.affiliationFederal University of Goiás, Goiás
dc.description.affiliationFederal Rural University of the Semi-Arid, Rio Grande do Norte
dc.description.affiliationDepartament of Crop Production São Paulo State University “Júlio de Mesquita Filho”, São Paulo
dc.description.affiliationUnespDepartament of Crop Production São Paulo State University “Júlio de Mesquita Filho”, São Paulo
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCAPES: 001
dc.identifierhttp://dx.doi.org/10.14393/BJ-v38n0a2022-53754
dc.identifier.citationBioscience Journal, v. 38.
dc.identifier.doi10.14393/BJ-v38n0a2022-53754
dc.identifier.issn1981-3163
dc.identifier.issn1516-3725
dc.identifier.scopus2-s2.0-85128639353
dc.identifier.urihttp://hdl.handle.net/11449/241760
dc.language.isoeng
dc.relation.ispartofBioscience Journal
dc.sourceScopus
dc.subjectImage Analysis
dc.subjectMassai Grass
dc.subjectMultivariate Statistics
dc.subjectSVIS®
dc.subjectTanzania Grass
dc.titleEVALUATION OF THE PHYSIOLOGICAL POTENTIAL OF Panicum maximum SEEDS BY MULTIVARIATE ANALYSISen
dc.typeArtigo
dspace.entity.typePublication
unesp.departmentProdução Vegetal - FCAVpt

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