Quantitative representation of floral colors

Autor: Ajit Govind, V. Saroj Kumar, R. Jaishanker, N. P. Sooraj, Vinay Kumar Dadhwal, K. Athira, C. R. Sajeev, M.S. Pillai
Přispěvatelé: Indian Institute of Information Technology and Management, Partenaires INRAE, University College, University College London, Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), International Center for Agricultural Research in the Dry Areas, CGIAR, Indian Institute of Space and Science Technology (IIST), The authors thank Dr Saji Gopinath, Director, IIITM-K and Kerala State Biodiversity Board for supporting this study
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Color Research and Application
Color Research and Application, Wiley, 2019, 44 (3), pp.426-432. ⟨10.1002/col.22353⟩
ISSN: 0361-2317
1520-6378
DOI: 10.1002/col.22353⟩
Popis: International audience; Human and insect pollinator perceived floral colors of 81 species of angiosperms (flowering plants) from Trivandrum (Kerala, India) was represented using the CIE 1976 L*a*b* color space and color hexagon, respectively. The floral color difference among human perceived red, yellow, and blue-hued flowers and that of each flower from its respective pure hue was calculated using the CIE E 2000 formula. Human perceived floral color difference values were consistently higher than 3.5, indicating the uniqueness of floral colors. Flowers perceived red and yellow by humans were dominant and of comparable proportions. Insect pollinators perceive most of the flowers as blue-green. Quantitative representation of human and pollinator perceived floral colors would be invaluable to understand the information broadcasted by flowers. It can form the basis of flower grading in the floriculture industry and underpin objectivity in evolving the framework for national pollinator strategies.
Databáze: OpenAIRE