2019/03/05 by Mao Li, Margaret H. Frank, Li, Mao +3
Agricultural and Biological Sciences · #FOS: Biological sciences #Leaf Properties and Growth Measurement #Plant Diversity and Evolution #Plant and animal studies #Quantitative Methods (q-bio.QM)
paper · pdf · doi:10.48550/arxiv.1903.01652
openalex publication_date 2019/03/05 · openalex created_date 2019/03/11 · openalex updated_date 2026/07/28
Colour patterning contributes to important plant traits that influence ecological interactions, horticultural breeding, and agricultural performance. High-throughput phenotyping of colour is valuable for understanding plant biology and selecting for traits related to colour during plant breeding. Here we present ColourQuant, an automated high-throughput pipeline that allows users to extract colour phenotypes from images. This pipeline includes methods for colour phenotyping using mean pixel values, Gaussian density estimator of Lab colour, and the analysis of shape-independent colour patterning by circular deformation.