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dc.contributor.authorBianconi, André [UNESP]
dc.contributor.authorGovone, José Silvio [UNESP]
dc.contributor.authorManly, Bryan Frederick John
dc.contributor.authorWatts, Michael J.
dc.date.accessioned2016-07-07T12:35:30Z
dc.date.available2016-07-07T12:35:30Z
dc.date.issued2011
dc.identifierhttp://www.iaees.org/publications/journals/piaees/articles/2011-1(2)/1-Bianconi-Abstract.asp
dc.identifier.citationProceedings of the International Academy of Ecology and Environmental Sciences, v. 1, n. 2, p. 70-76, 2011.
dc.identifier.issn2220-8860
dc.identifier.urihttp://hdl.handle.net/11449/140806
dc.description.abstractSeveral studies on plant physiology are aimed at describing or assessing seed germination processes under laboratory conditions. With respect to seed germination of crop species, some statistical complexities have been discussed, but they have not been developed much in practice. That is, such discussions are not as common as in other areas of plant biology. Additionally, the current literature that is concerned directly with the application of statistics in seed germination indicates that simple and well-known statistical procedures still merit further consideration. Regarding the use of multivariate statistical methods in agriculture, several field studies have used such procedures as a means of clarifying some underlying ecological principles that govern crop production. Nonetheless, multivariate tests have not been widely employed in germination experiments. Therefore, in the present study a simple multivariate statistical procedure (Hotelling’s T2 statistic) was utilised in order to compare two common bean cultivars, using germination indices as variables. The outcome derived from the multivariate approach was compared with that obtained from the utilisation of the univariate t test. The simultaneous application of both methods (that is, the classical univariate t test and the multivariate T2 test) showed that the outcomes may well depend on the approach utilised.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent70-76
dc.language.isoeng
dc.relation.ispartofProceedings of the International Academy of Ecology and Environmental Sciences
dc.sourceCurrículo Lattes
dc.subjectGermination rateen
dc.subjectHotelling’s T2 Synchronisationen
dc.subjectT testen
dc.titleThe use of a multivariate statistical procedure in analysing the germination process of two bean cultivars, compared with a univariate approachen
dc.typeArtigo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionWestern EcoSystems Tech. Inc
dc.contributor.institutionThe University of Adelaide
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Departamento de Estatística Matemática Aplicada E Computação e Departamento de Zoologia, Instituto de Geociências e Ciências Exatas de Rio Claro, Rio Claro, av 24 A, 1515, Bela Vista, CEP 13506-970, SP, Brasil
dc.description.affiliationWestern EcoSystems Tech. Inc., 2003, Central Avenue Cheyenne, Wyoming, 82001, USA
dc.description.affiliationSchool of Earth and Environmental Sciences, The University of Adelaide, Australia
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Departamento de Estatística Matemática Aplicada E Computação e Departamento de Zoologia, Instituto de Geociências e Ciências Exatas de Rio Claro, Rio Claro, av 24 A, 1515, Bela Vista, CEP 13506-970, SP, Brasil
dc.rights.accessRightsAcesso aberto
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
dc.identifier.fileISSN2220-8860-2011-01-02-70-76.pdf
unesp.departmentEstatística Matemática Aplicada E Computaçãopt
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