MowJoe: a method for automated-high throughput dissected leaf phenotyping.

ABSTRACT:

Background

Accurate and automated phenotyping of leaf images is necessary for high throughput studies of leaf form like genome-wide association analysis and other forms of quantitative trait locus mapping. Dissected leaves (also referred to as compound) that are subdivided into individual units are an attractive system to study diversification of form. However, there are only few software tools for their automated analysis. Thus, high-throughput image processing algorithms are needed that can partition these leaves in their phenotypically relevant units and calculate morphological features based on these units.

Results

We have developed MowJoe, an image processing algorithm that dissects a dissected leaf into leaflets, petiolule, rachis and petioles. It employs image skeleto

SUBMITTER: Failmezger H 

PROVIDER: S-EPMC5868070 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature