Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins

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), "...

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Autores principales:	Corbella,Eduardo, Cozzolino,Daniel
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2008
Materias:	honey Uruguay principal component analysis linear discriminant analysis pollen analysis
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000100010
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spelling	oai:scielo:S0718-583920080001000102018-10-01Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical OriginsCorbella,EduardoCozzolino,Daniel honey Uruguay principal component analysis linear discriminant analysis pollen analysis 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 (> 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 originsinfo:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.68 n.1 20082008-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000100010en10.4067/S0718-58392008000100010
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	honey Uruguay principal component analysis linear discriminant analysis pollen analysis
spellingShingle	honey Uruguay principal component analysis linear discriminant analysis pollen analysis Corbella,Eduardo Cozzolino,Daniel Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
description	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 (> 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
author	Corbella,Eduardo Cozzolino,Daniel
author_facet	Corbella,Eduardo Cozzolino,Daniel
author_sort	Corbella,Eduardo
title	Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
title_short	Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
title_full	Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
title_fullStr	Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
title_full_unstemmed	Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
title_sort	combining multivariate analysis and pollen count to classify honey samples accordingly to different botanical origins
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2008
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000100010
work_keys_str_mv	AT corbellaeduardo combiningmultivariateanalysisandpollencounttoclassifyhoneysamplesaccordinglytodifferentbotanicalorigins AT cozzolinodaniel combiningmultivariateanalysisandpollencounttoclassifyhoneysamplesaccordinglytodifferentbotanicalorigins
_version_	1714205259252891648

Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins

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