Nereis. Interdisciplinary Ibero-American Journal of Methods, Modelling and Simulation.

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Molecular Categorization of Yams by Principal Component and Cluster Analyses

Abstract

Wild yam species tubers of Ivory Coast are categorized by principal component analyses (PCAs) of nutrients and antinutritional factors and yams cluster analyses (CAs), which agree. Species group into three classes. Compositional PCA and yams CA allow classifying them and agree. The first PCA axis explains 90% of variance. Meta-analysis allows increasing samples numbers and data variety. Different yam behaviour depends on energy. Most antinutritional factors are grouped into the same class.

 

Keywords: Principal component analysis, Meta-analysis, Distribution, Class, Tuber, Wild yam species, Antinutritional factor, Toxin, Nutrient, Individual, Variable.

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