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Type: Artigo de Periódico
Issue Date: Oct-2016
Authors: FREITAS, Camila Auad Beltrao de 
SILVA, Antonio dos Santos
ALVES, Claudio Nahum
NASCIMENTO, Walnice Maria Oliveira do
LOPES, Alessandra Santos
LIMA, Marcelo de Oliveira
MÜLLER, Regina Celi Sarkis
Title: Characterization of the Fruit Pulp of Camu-Camu (Myrciaria dubia) of Seven Different Genotypes and Their Rankings Using Statistical Methods PCA and HCA
Citation: FREITAS, Camila Auad Beltrão de et al. Characterization of the Fruit Pulp of Camu-Camu (Myrciaria dubia) of Seven Different Genotypes and Their Rankings Using Statistical Methods PCA and HCA. Journal of the Brazilian Chemical Society, São Paulo, v. 27, n. 10, p. 1838-1846, out. 2016. Disponível em: <>. Acesso em: 19 jul. 2017. <>.
Abstract: Due to the economic potential of camu-camu, considering its high concentration of vitamin C, the aim of this work was to evaluate the quality and genetic variability seven accessions of camu-camu conserved in genebank (BAG) of Embrapa Amazônia Oriental, in the state of Pará, Amazon region, Brazil. The fruits of camucamuzeiro were analyzed for physicochemical characterization (standard methodologies) and mineral composition. The data were subjected to multivariate statistical analysis, using the techniques of cluster analysis and principal component analysis. The formation of different groups for each genotype, which shows the genetic variability and the dissimilarity of the genotypes in the species data, may be used to guide the selection of promising genotypes to enrich the programs of genetic improvement of the camucamuzeiro. Ascorbic acid showed levels above 1000 mg 100 g-1, however, genotypes 4, 1 and 2 show the highest potential and the most promising nutritional capacity, but genotype 4 showed good characteristics for the moisture, acidity, carbohydrates, Cu and Zn and differs totally from others about the total soluble solids (TSS) and flavon-3-ol, features that make it the most promising genotype. It was possible to separate the seven different genotypes using multivariate analysis (hierarchical cluster analysis-HCA and principal component analysis-PCA).
Keywords: Polpa de frutas
Myrciaria dubia
Características físico-química
metadata.dc.relation.ispartof: Journal of the Brazilian Chemical Society
ISSN: 1678-4790
Country: Brasil
Publisher: Universidade Federal do Pará
Institution Acronym: UFPA
Appears in Collections:Artigos Científicos - ICEN
Artigos Científicos - ITEC

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