ArticleMolecules (Basel, Switzerland)2019
Sampling for DUS Test of Flower Colors of
Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Ontology-driven dual-channel relational graph convolutional network (DCR-GCN) for lettuce leaf phenotype classification.Plant methods · 2026Article
- Integrated metabolomic and transcriptomic profiling unveils anthocyanin regulation in chemically induced flower color variation of Impatiens hybrida 'Solarscape'.BMC plant biology · 2025Article
- Integrating phenotypic analyses and color parameters: a multidimensional framework for precise color characterization in eggplant fruit.Frontiers in plant science · 2025Article
- DUS evaluation of nine intersubgeneric hybrids ofFrontiers in chemistry · 2023Article
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Authors and funding
10 authors.
Funding
Abstract
Sampling for DUS test of flower colors should be fixed at the stages and sites that petals are fully colored, and besides, flower colorations are uniform among individuals and stable for a period of time to allow testers to get consistent results. It remains a problem since spatial and temporal flower colorations are reported a lot but their change traits are little discussed. In this study, expression state, uniformity and stability of color phenotypes, anthocyanin contents, and gene expression levels were taken into account based on measurements at 12 development stages and three layers (inner, middle, and outer petals) of two varieties of
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