Data/hora: 08/06/2024 06:28:24

Provedor de dados: 	Chilean Journal of Agricultural Research	
País: 	Chile	
Título: 	Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins	
Autores: 	Corbella,Eduardo; Cozzolino,Daniel.	
Data: 	2008-03-01	
Ano: 	2008	
Palavras-chave: 	Honey; Uruguay; Principal component analysis; Linear discriminant analysis; Pollen analysis.	
Resumo: 	This study reports the combination of multivariate techniques and pollen count analysis to classify honey samples accordingly to botanical sources, in samples from Uruguay. Honey samples from different botanical origins, namely Eucalyptus spp. (n = 10), Lotus spp. (n = 12), Salix spp. (n = 5), “mil flores” (Myrtaceae spp.) (n = 12) and coronilla (Scutia buxifolia Reissek) (n = 10) were analysed using Melissopalynology (pollen identification). Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to classify the honey samples accordingly to their botanical origin based on a pollen count. Honey samples of higher percentage (&gt; 70%) of Eucalyptus, Lotus and Scutia pollen were 100% correctly classified, whilst samples from Myrtaceaespp. and Salix were 80 and 66% correctly classified, respectively. The use of PCA and LDA combined with pollen identification proved useful in characterizing honey samples from different botanical origins	
Tipo: 	Journal article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000100010	
Editor: 	Instituto de Investigaciones Agropecuarias, INIA	
Formato: 	text/html	
Fonte: 	Chilean journal of agricultural research  v.68 n.1 2008