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Dataset Information

Description of olive morphological parameters by using open access software.


ABSTRACT:

Background

The morphological analysis of olive leaves, fruits and endocarps may represent an efficient tool for the characterization and discrimination of cultivars and the establishment of relationships among them. In recent years, much attention has been focused on the application of molecular markers, due to their high diagnostic efficiency and independence from environmental and phenological variables.

Results

In this study, we present a semi-automatic methodology of detecting various morphological parameters. With the aid of computing and image analysis tools, we created semi-automatic algorithms applying intuitive mathematical descriptors that quantify many fruit, leaf and endocarp morphological features. In particular, we examined quantitative and qualitative characte

SUBMITTER: Blazakis KN 

PROVIDER: S-EPMC5725956 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature