Can you make morphometrics work when you know the right answer? Pick and mix approaches for apple identification.

ABSTRACT: Morphological classification of living things has challenged science for several centuries and has led to a wide range of objective morphometric approaches in data gathering and analysis. In this paper we explore those methods using apple cultivars, a model biological system in which discrete groups are pre-defined but in which there is a high level of overall morphological similarity. The effectiveness of morphometric techniques in discovering the groups is evaluated using statistical learning tools. No one technique proved optimal in classification on every occasion, linear morphometric techniques slightly out-performing geometric (72.6% accuracy on test set versus 66.7%). The combined use of these techniques with post-hoc knowledge of their individual successes with particular cultivars

SUBMITTER: Christodoulou MD 

PROVIDER: S-EPMC6188776 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature