Articles
Quantitative phenotype-based classification of flower colors in rose cultivars
Article number
1461_16
Pages
147 – 154
Language
English
Abstract
Flower color is a pivotal ornamental trait in roses.
This study aimed to establish a quantitative, phenotype-based classification system for rose flower colors.
The petal colors of 207 rose cultivars were measured using a chroma meter (NF555) to obtain CIELAB (L, a, b*) values.
Cluster analysis was performed to group the colors, and the ISCC-NBS color nomenclature system was employed for precise color naming and classification.
The results categorized the rose cultivars into seven distinct color groups: white, yellow-green, blue-purple, red, orange, pink, and yellow.
This study demonstrates that integrating cluster analysis with the ISCC-NBS system provides a more scientific and accurate method for flower color classification than using either method alone.
The established quantitative classification framework offers a valuable tool for cultivar identification and supports targeted breeding programs for novel flower colors.
This study aimed to establish a quantitative, phenotype-based classification system for rose flower colors.
The petal colors of 207 rose cultivars were measured using a chroma meter (NF555) to obtain CIELAB (L, a, b*) values.
Cluster analysis was performed to group the colors, and the ISCC-NBS color nomenclature system was employed for precise color naming and classification.
The results categorized the rose cultivars into seven distinct color groups: white, yellow-green, blue-purple, red, orange, pink, and yellow.
This study demonstrates that integrating cluster analysis with the ISCC-NBS system provides a more scientific and accurate method for flower color classification than using either method alone.
The established quantitative classification framework offers a valuable tool for cultivar identification and supports targeted breeding programs for novel flower colors.
Authors
Y. Liu, N.Z. Ji, A. Kuwantai, Z.N. Zhao, L. Su, S.W. Zhao, H. Feng
Keywords
rose, flower color classification, CIELAB color space, cluster analysis, ISCC-NBS system
Online Articles (23)