| Literature DB >> 35895198 |
Mao Li1, Margaret H Frank2, Zoë Migicovsky3.
Abstract
Color patterning contributes to important plant traits that influence ecological interactions, horticultural breeding, and agricultural performance. High-throughput phenotyping of color is valuable for understanding plant biology and selecting for traits related to color during plant breeding. Here we present ColourQuant, an automated high-throughput pipeline that allows users to extract color phenotypes from images. This pipeline includes methods for color phenotyping using mean pixel values, a Gaussian density estimator of CIELAB color, and the analysis of shape-independent color patterning by circular deformation.Entities:
Keywords: Color patterning; Color phenotyping; Continuous color distribution; High-throughput image acquisition; Shape-independent color quantification
Mesh：
Year: 2022 PMID： 35895198 DOI： 10.1007/978-1-0716-2537-8_9
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745