The use of a multivariate statistical procedure in analysing the germination process of two bean cultivars, compared with a univariate approach

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorWestern EcoSystems Tech. Inc
dc.contributorThe University of Adelaide
dc.creatorBianconi, André [UNESP]
dc.creatorGovone, José Silvio [UNESP]
dc.creatorManly, Bryan Frederick John
dc.creatorWatts, Michael J.
dc.date2016-07-07T12:35:30Z
dc.date2016-07-07T12:35:30Z
dc.date2011
dc.date.accessioned2023-09-12T10:18:50Z
dc.date.available2023-09-12T10:18:50Z
dc.identifierhttp://www.iaees.org/publications/journals/piaees/articles/2011-1(2)/1-Bianconi-Abstract.asp
dc.identifierProceedings of the International Academy of Ecology and Environmental Sciences, v. 1, n. 2, p. 70-76, 2011.
dc.identifier2220-8860
dc.identifierhttp://hdl.handle.net/11449/140806
dc.identifierISSN2220-8860-2011-01-02-70-76.pdf
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8790010
dc.descriptionSeveral 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.
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionUniversidade 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.descriptionWestern EcoSystems Tech. Inc., 2003, Central Avenue Cheyenne, Wyoming, 82001, USA
dc.descriptionSchool of Earth and Environmental Sciences, The University of Adelaide, Australia
dc.descriptionUniversidade 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.format70-76
dc.languageeng
dc.relationProceedings of the International Academy of Ecology and Environmental Sciences
dc.rightsAcesso aberto
dc.sourceCurrículo Lattes
dc.subjectGermination rate
dc.subjectHotelling’s T2 Synchronisation
dc.subjectT test
dc.titleThe use of a multivariate statistical procedure in analysing the germination process of two bean cultivars, compared with a univariate approach
dc.typeArtigo


Este ítem pertenece a la siguiente institución