IB-CAS  > 中科院植物分子生理学重点实验室
Classification of rose petal colors based on optical spectrum and pigment content analyses
Wang, Hua1,2; Fan, Youwei1,2; Yang, Yuan1,3; Zhang, Hui4; Li, Maofu1,2; Sun, Pei1,2; Zhang, Xinzhu1,2; Xue, Zhen4; Jin, Wanmei1,2
2023
发表期刊HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY
ISSN2211-3452
卷号64期号:2页码:153-166
摘要Roses (Rosa sp.) are an important ornamental crop worldwide. Their colorful flowers mainly reflect an accumulation of anthocyanins and carotenoids. Developing a reliable method to classify rose petal color and identifying relationships between pigment contents and color space values may offer better evaluation criteria for rose varieties. In this study, we classified 60 rose varieties into three groups based on their color parameters, corresponding to red varieties, white and yellow varieties, and pink and dark pink varieties. We measured the total pigment contents and identified the underlying anthocyanins and carotenoids using both UV spectrophotometry and ultraperformance convergence chromatography coupled to mass spectrometry. Flower petals of white roses contained the lowest pigment levels, while those of yellow roses contained only carotenoids (40.65-244.42 mu g/g) and mainly in the form of beta-carotene and violaxanthin. The petals of pink and dark pink roses only accumulated anthocyanins (91.72-1703.93 mu g/g) and mainly as cyanidin 3,5-diglucoside and cyanidin 3-O-glucoside. The petals of red roses contained both large amounts of anthocyanins (1484.8-3806.22 mu g/g) and small amounts of carotenoids (1.81-18.77 mu g/g). We divided the 60 rose varieties tested here into five color groups based on optical spectrum and pigment content analyses. We also explored the relationships between anthocyanin contents, carotenoid contents, and flower color space values using principal component analysis, Pearson's correlations, and non-linear models. In addition to providing a more accurate system of rose petal color classification, our results can be used to predict pigment contents based on color parameters.
关键词Flower color phenotype Pigment contents Optical spectrum Classification Correlation
学科领域Horticulture
DOI10.1007/s13580-022-00469-9
收录类别SCI
语种英语
WOS关键词FLOWER COLOR ; ANTHOCYANINS ; CULTIVARS ; BIOSYNTHESIS ; CAROTENOIDS
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000854689800001
出版者KOREAN SOC HORTICULTURAL SCIENCE
文献子类Article
出版地JEOLLABUK-DO
EISSN2211-3460
资助机构Science and Technology Innovation Ability Construction Projects of Beijing Academy of Agriculture and Forestry Science [KJCX20200109, KJCX20210415] ; National Natural Science Foundation for Young Scholars of China [31600418] ; Young Foundation of Institute of Forestry and Pomology [LGYJJ202003]
作者邮箱happybabyhuahua@163.com ; 15652795878@163.com ; yangyuanlgs@126.com ; zhhui12@ibcas.ac.cn ; limaofu2003@163.com ; spfate@126.com ; 406289392@qq.com ; xuezhen@ibcas.ac.cn ; jwm0809@163.com
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/29079
专题中科院植物分子生理学重点实验室
作者单位1.Beijing Acad Agr & Forestry Sci, Inst Forestry & Pomol, A12 Ruiwangfen, Beijing 100093, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Biol & Genet Improvement Hort Crops North, Beijing 100093, Peoples R China
3.Beijing Engn Res Ctr Deciduous Fruit Trees, Beijing 100093, Peoples R China
4.Beijing Engn Res Ctr Funct Floriculture, Beijing 100093, Peoples R China
5.Chinese Acad Sci, Inst Bot, Key Lab Plant Mol Physiol, Beijing 100093, Peoples R China
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Wang, Hua,Fan, Youwei,Yang, Yuan,et al. Classification of rose petal colors based on optical spectrum and pigment content analyses[J]. HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY,2023,64(2):153-166.
APA Wang, Hua.,Fan, Youwei.,Yang, Yuan.,Zhang, Hui.,Li, Maofu.,...&Jin, Wanmei.(2023).Classification of rose petal colors based on optical spectrum and pigment content analyses.HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY,64(2),153-166.
MLA Wang, Hua,et al."Classification of rose petal colors based on optical spectrum and pigment content analyses".HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY 64.2(2023):153-166.
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