Article ID Journal Published Year Pages File Type
10332430 Journal of Computational Science 2014 5 Pages PDF
Abstract
The aim of our study was to investigate the intrinsic diversity of genus based on chemical composition of natural extracts of Cacalia, Dracocephalum, Jatropha, Saussurea and Senecio. Four rarefaction approaches (richness, Shannon's entropy, Simpson's diversity, and max-entropy) were implemented as an algorithm and run 10,000 times. Our results showed similar patterns of richness in natural compounds according to genus and of Simpson's diversity index while max-entropy has a similar pattern as Shannon's entropy. The analysis of both richness in active compounds and weight of most frequent extracted compound revealed that Dracocephalum genus is most suitable for propagation.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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