Paper · 2012 · International Journal of Biochemistry Research & Review

Classification of Some Wild Yam Species Tubers of Ivory Coast Forest Zone

Sahoré Alexis

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Abstract

The tubers of some wild yam species (eight) found in the Ivory Coast forest were collected and their classification according to their nutrients and antinutritional factors was made by principal component analysis (PCA). The principal component analysis (PCA)of individuals,constituted by the yam species ,according to nutrients considered as the variables, showed two principal axes of correlation F1 and F2 .The percentages of variablesdispersionaround the principal axes F1 and F2 were equal to 72.86% and 20.24% respectively. Theindividuals projected on the principal axes F1 and F2 grouped into four classes around the axes. Around the axis F1 (72.26%): The class gathering the tubers of wild yam s peciesD. minutiflora;D. will hirtiflora and D. bulbiferabulbil which contained more Moisture and the class gathering the tubers of wild yam species D. burkilliana;D.bulbiferatuber;D. dumetorum;D. praehensilisand D. mangenotiana which had the highest Energy Value. Around the axis F2 (20.24%): The class gathering the tubers of wild yam speciesD. burkilliana ;D. bulbiferatuber;D. dumetorum and D. praehensiliswhich contained more Soluble carbohydrates and the class gathering the tubers of wild yam speciesD. minutiflora; D. hirtiflora ; D. bulbiferabulbil andD. mangenotiana which contained moreash. The principal component analysis(PCA) of individuals, const ituted by wild yam species ,according to their Antinutritional factors

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Associationobservedoriginal resultmeasured

Claim · model-written summary

Wild yam species tubers grouped into classes by nutrient content in principal component analysis.

Taxon
wild yam speciese1
Outcome
nutrientse1
Setting
Ivory Coast foreste1

Not reportedTreatmentComparatorDirection

Verbatim

e1

“The tubers of some wild yam species (eight) found in the Ivory Coast forest were collected and their classification according to their nutrients and antinutritional factors was made by principal component analysis (PCA)”

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