Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/123456789/3954
Full metadata record
DC FieldValueLanguage
dc.creatorAraújo Adelson Paulo-
dc.date2003-
dc.date.accessioned2013-05-30T06:06:27Z-
dc.date.available2013-05-30T06:06:27Z-
dc.date.issued2013-05-30-
dc.identifierhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2003000100001-
dc.identifierhttp://www.doaj.org/doaj?func=openurl&genre=article&issn=0100204X&date=2003&volume=38&issue=1&spage=1-
dc.identifier.urihttp://koha.mediu.edu.my:8181/jspui/handle/123456789/3954-
dc.descriptionPlant growth analysis presents difficulties related to statistical comparison of growth rates, and the analysis of variance of primary data could guide the interpretation of results. The objective of this work was to evaluate the analysis of variance of data from distinct harvests of an experiment, focusing especially on the homogeneity of variances and the choice of an adequate ANOVA model. Data from five experiments covering different crops and growth conditions were used. From the total number of variables, 19% were originally homoscedastic, 60% became homoscedastic after logarithmic transformation, and 21% remained heteroscedastic after transformation. Data transformation did not affect the F test in one experiment, whereas in the other experiments transformation modified the F test usually reducing the number of significant effects. Even when transformation has not altered the F test, mean comparisons led to divergent interpretations. The mixed ANOVA model, considering harvest as a random effect, reduced the number of significant effects of every factor which had the F test modified by this model. Examples illustrated that analysis of variance of primary variables provides a tool for identifying significant differences in growth rates. The analysis of variance imposes restrictions to experimental design thereby eliminating some advantages of the functional growth analysis.-
dc.publisherEmpresa Brasileira de Pesquisa Agropecuária (Embrapa)-
dc.sourcePesquisa Agropecuária Brasileira-
dc.subjectANOVA model-
dc.subjectstatistic-
dc.subjectphosphorus-
dc.subjectcommon bean-
dc.subjectrice-
dc.titleAnalysis of variance of primary data on plant growth analysis-
Appears in Collections:Agriculture and Food Sciences

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.