Detalhes bibliográficos
Ano de defesa: |
2014 |
Autor(a) principal: |
Vilela, Eliane da Costa
|
Orientador(a): |
Ferri, Pedro Henrique
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Banca de defesa: |
Ferri, Pedro Henrique,
Alves, Sueli Martins de Freitas,
Costa, Maísa Borges,
Kato, Lucília,
Seraphin, José Carlos |
Tipo de documento: |
Tese
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de Goiás
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Programa de Pós-Graduação: |
Programa de Pós-graduação em Química (IQ)
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Departamento: |
Instituto de Química - IQ (RG)
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País: |
Brasil
|
Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tde/3007
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Resumo: |
The chemical composition of essential oils was used to study the spatial structure of eight E. dysenterica populations in central Brazilian Cerrado. Variation partitioning using spatial and environmental data sets as predictors was highly significant and explained 8.2% and 11.1% of oil chemovariations, respectively. The data suggested wich essential oil polymorphism was genetically rather than environmentally determined. Furthermore, the intercept of the multivariate Mantel autocorrelogram between the distance matrices of oil constituents and sampling sites suggested that the populations differ chemically whenever geographical distance exceeds 120 km. The spatial chemometric methods using variograms and probability maps detected and characterized the spatial chemical structure among populations, as well as the environmental factors responsible for them. All these strategies indicated that the populations differ chemically whenever the geographical distance exceeds 120 km, an indicator of the minimal distance between samples required for conserving the genetic diversity of populations. Although being scarcely used with secondary metabolites, these methodologies may be used in a wide range of applications in species management and may lead to an effective integration of genetic, chemical and ecological perspectives. |