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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 |
ISSN | 2211-3452 |
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 |
DOI | 10.1007/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 |
EISSN | 2211-3460 |
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 | |
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 |
推荐引用方式 GB/T 7714 | 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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