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基于高光谱成像技术的菊花花色表型和色素成分分析

伏静 戴思兰

伏静, 戴思兰. 基于高光谱成像技术的菊花花色表型和色素成分分析[J]. 北京林业大学学报, 2016, 38(8): 88-98. doi: 10.13332/j.1000-1522.20150483
引用本文: 伏静, 戴思兰. 基于高光谱成像技术的菊花花色表型和色素成分分析[J]. 北京林业大学学报, 2016, 38(8): 88-98. doi: 10.13332/j.1000-1522.20150483
FU Jing, DAI Si-lan.. Analysis of color phenotypic and pigment contents of chrysanthemum based on hyperspectral imaging.[J]. Journal of Beijing Forestry University, 2016, 38(8): 88-98. doi: 10.13332/j.1000-1522.20150483
Citation: FU Jing, DAI Si-lan.. Analysis of color phenotypic and pigment contents of chrysanthemum based on hyperspectral imaging.[J]. Journal of Beijing Forestry University, 2016, 38(8): 88-98. doi: 10.13332/j.1000-1522.20150483

基于高光谱成像技术的菊花花色表型和色素成分分析

doi: 10.13332/j.1000-1522.20150483
基金项目: 

国家自然科学基金项目(31272192)。

详细信息
    作者简介:

    伏静。主要研究方向:园林植物资源与育种。Email:fujing@bjfu.edu.cn地址:100083北京市海淀区清华东路35号北京林业大学园林学院。责任作者:戴思兰,教授,博士生导师。主要研究方向:园林植物资源与分子育种。Email:silandai@sina.com地址:同上。

    伏静。主要研究方向:园林植物资源与育种。Email:fujing@bjfu.edu.cn地址:100083北京市海淀区清华东路35号北京林业大学园林学院。责任作者:戴思兰,教授,博士生导师。主要研究方向:园林植物资源与分子育种。Email:silandai@sina.com地址:同上。

Analysis of color phenotypic and pigment contents of chrysanthemum based on hyperspectral imaging.

  • 摘要: 为无损、高效测定菊花花色表型和色素成分及含量,以菊花160个品种为研究材料,用紫外分光光度法测定舌状花的色素种类和含量;用高光谱成像技术对菊花不同品种头状花序上不同花轮位置上舌状花不同部位的高光谱反射值进行测定;对高光谱反射指数与舌状花色素含量实测值间的相关性进行分析。结果表明:1)菊花头状花序中轮的舌状花正面的中部或偏后部获得的高光谱测定数据稳定。2)菊花相同色系品种具有相似的高光谱特征曲线,不同色系品种高光谱特征曲线存在差异。3)高光谱反射指数RRed/RGreen、ARI、mARI、mCRI、TCARI与菊花舌状花色素含量之间有较好的相关性,并利用80个品种分别建立了色素成分及含量监测模型。4)利用另外80个菊花品种进行验证发现,以RRed/RGreen、ARI和mARI建立的花青素含量监测模型、mCRI建立的类胡萝卜素含量监测模型和TCARI建立的叶绿素含量监测模型精度较高,可以无损、快速地测定菊花舌状花色素成分和含量。本研究为观赏植物花色表型分析和色素成分及含量的测定提供了一种新的思路和方法。

     

  • [1] YOSHIKAZU T, NOBUHIRO S, AKEMI O. Biosynthesis of plant pigments: anthocyanins, betalains and carotenoids[J]. The Plant Journal, 2008, 54: 733-749.
    [1] GITELSON A A, CHIVKUNOVA O B, MERZLYAK M N. Nondestructive estimation of anthocyanins and chlorophylls in anthocyanic leaves[J]. American Journal of Botany, 2009, 96(10): 1861-1868.
    [2] VANE G, GOETZ A F H. Terrestrial imaging spectrometry: current status, future trends[J]. Remote Sensing of Environment, 1993, 44: 117-126.
    [3] 丁圣彦, 李昊民, 钱乐祥. 应用遥感技术评价植被生化物质含量的研究进展[J]. 生态学杂志, 2004, 23(4): 109-117.
    [4] DING S Y, LI H M, QIAN L X. Research advances in remote sensing techniques in estimation of vegetation biochemical material contents[J]. Chinese Journal of Ecology, 2004, 23(4): 109-117.
    [5] 沈艳, 牛铮, 颜春燕. 植被叶片及冠层层次含水量估算模型的建立[J]. 应用生态学报, 2005, 16(7): 1218-1223.
    [6] SHEN Y, NIU Z, YAN C Y. Estimation models for vegetation water content at both leaf and canopy levels[J]. Chinese Journal of Applied Ecology, 2005, 16(7): 1218-1223.
    [7] 刘占宇, 黄敬峰, 吴新宏, 等. 天然草地植被覆盖度的高光谱遥感估算模型[J]. 应用生态学报, 2006, 17(6): 997-1002.
    [8] LIU Z Y, HUANG J F, WU X H,et al. Hyperspectral remote sensing estimation models on vegetation coverage of natural grassland[J]. Chinese Journal of Applied Ecology, 2006, 17(6): 997-1002.
    [9] DATT B. Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b, and total carotenoid content in eucalyptus leaves[J]. Remote Sensing of Environment, 1998, 66: 111-121.
    [10] LE MAIRE G, FRANCOIS C, DUFRNE E. Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements[J]. Remote Sensing of Environment, 2004, 89: 1-28.
    [11] BLACKBURN G A. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves[J]. International Journal of Remote Sensing, 1998, 19(4): 657-675.
    [12] BLACKBURN G A. Quantifying chlorophylls and carotenoids from leaf to canopy scales: an evaluation of some hyper-spectral approaches[J]. Remote Sensing of Environment, 1998, 66: 273-285.
    [13] BLACKBURN G A, STEELE C M. Towards the remote sensing of matorral vegetation physiology: relationships between spectral reflectance, pigment and biophysical characteristics of semi-arid bush land canopies[J]. Remote Sensing of Environment, 1999, 70: 278-292.
    [14] BLACKBURN G A. Hyperspectral remote sensing of plant pigments[J]. Journal of Experimental Botany, 2006, 58(4): 855-867.
    [15] BLACKBURN G A. Wavelet decomposition of hyperspectral data: a novel approach to quantifying pigment concentrations in vegetation[J]. International Journal of Remote Sensing, 2007, 28(12): 2831-2855.
    [16] BLACKBURN G A, FERWERDA J G. Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis[J]. Remote Sensing of Environment, 2008, 112: 1614-1632.
    [17] GAMON J A, SURFUS J S. Assessing leaf pigment content and activity with a reflectometer[J]. New Phytol, 1999, 143(1): 105-117.
    [18] GITELSON A A, MERZLYAK M N, CHIVKUNOVA O B. Optical properties and non-destructive estimation of anthocyanin content in plant leaves[J]. Photochemistry and Photobiology,2001, 74: 38-45.
    [19] GITELSON A A, KEYDAN G P, MERZLYAK M N. Three band model for noninvasive estimation of chlorophyll, carotenoids,and anthocyanin contents in higher plant leaves[J]. Geophysical Research Letters,2006, 33: L11402.
    [20] GITELSON A A, CHIVKUNOVA O B, MERZLYAK M N. Nondestructive estimation of anthocyanins and chlorophylls in anthocyanic leaves[J]. American Journal of Botany, 2009, 96(10): 1861-1868.
    [21] VAN DEN BERG A K, PERKINS T D. Nondestructive estimation of anthocyanin content in autumn sugar maple leaves[J]. HortScience, 2005, 40: 685-686.
    [22] MERZLYAK M N, SOLOVCHENKO A E, GITELSON A A. Reflectance spectral features and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruit[J]. Post Biology Technology, 2003, 27: 197-211.
    [23] 吴长山, 项月琴, 郑兰芬, 等. 利用高光谱数据对作物群体叶绿素密度估算的研究[J]. 遥感学报, 2000, 4(3): 228-232.
    [24] WU C S, XIANG Y Q, ZHENG L F,et al. Estimating chlorophyll density of crop canopies by using hyperspectral data [J]. Journal of Remote Sensing, 2000, 4(3): 228-232.
    [25] 刘伟东, 项月琴, 郑兰芬, 等. 高光谱数据与水稻叶面积值数及叶绿素密度的相关分析[J]. 遥感学报, 2000,4(4): 279-283.
    [26] LIU W D, XIANG Y Q, ZHENG L F,et al. Relationships between rice LAI, CH.D and hyperspectra data[J]. Journal of Remote Sensing, 2000, 4(4): 279-283.
    [27] 吉海彦, 王鹏新, 严泰来. 冬小麦活体叶片叶绿素和水分含量与反射光谱的模型建立[J]. 光谱学与光谱分析, 2007, 27(3): 514-516.
    [28] JI H Y, WANG P X, YAN T L. Estimations of chlorophyll and water contents in live leaf of winter wheat with reflectance spectroscopy[J]. Spectroscopy and Spectral Analysis, 2007, 27(3): 514-516.
    [29] 张永贺, 陈文惠, 郭乔影, 等. 桉树叶片光合色素含量高光谱估算模型[J]. 生态学报, 2013, 33(3): 876-887.
    [30] ZHANG Y H, CHEN W H, GUO Q Y,et al. Hyperspectral estimation models for photosynthetic pigment contents in leaves of Eucalyptus[J]. Acta Ecologica Sinica, 2013, 33(3): 876-887.
    [31] FASSNACHT F E, STENZELA S, GITELSONB A A. Non-destructive estimation of foliar carotenoid content of tree species using merged vegetation indices[J]. Journal of Plant Physiology, 2015, 176: 210-217.
    [32] 李鸿渐. 中国菊花[M]. 南京: 江苏科学技术出版社, 1993.
    [33] LI H J. Chinese chrysanthemum[M]. Nanjing: Jiangsu Science and Technology Press, 1993.
    [34] 洪艳, 白新祥, 孙卫, 等. 菊花品种花色表型数量分类研究[J]. 园艺学报, 2012, 39(7): 1330-1340.
    [35] HONG Y, BAI X X, SUN W,et al. The numerical classification of chrysanthemum flower color phenotype[J]. Acta Horticulturae Sinica, 2012, 39(7): 1330-1340.
    [36] 张树林, 戴思兰. 中国菊花全书[M]. 北京: 中国林业出版社, 2013.
    [37] ZHANG S L, DAI S L. The chrysanthemum of China[M]. Beijing: China Forestry Publishing House, 2013.
    [38] 朱西存, 赵庚星, 王瑞燕, 等. 苹果叶片的高光谱特征及其色素含量监测[J]. 中国农业科学, 2010, 43(6): 1189-1197.
    [39] ZHU X C, ZHAO G X, WANG R Y, et al. Hyperspectral characteristics of apple leaves and their pigment contents monitoring[J]. Scientia Agricultura Sinica, 2010, 43(6): 1189-1197.
    [40] 孙卫, 李崇晖, 王亮生, 等. 菊花舌状花花色测定部位的探讨[J]. 园艺学报, 2010, 37(5): 777-784.
    [41] SUN W, LI C H, WANG L S, et al. Analysis on measuremental position of ligulate floret color of chrysanthemum[J]. Acta Horticulturae Sinica, 2010, 37(5): 777-784.
    [42] ZHANG J J, WANG L S, SHU Q Y, et al. Comparison of anthocyanins in non-blotches and blotches of the petals of Xibei tree peony[J]. Scientia Horticulturae, 2007, 114: 104-111.
    [43] 白新祥, 胡可, 戴思兰, 等. 不同花色菊花品种花色素成分的初步分析[J]. 北京林业大学学报, 2006, 28(5): 84-88.
    [44] BAI X X, HU K, DAI S L,et al. Components of flower pigments in the petals of different color Chrysanthemum morifolium Ramat. cultivars [J]. Journal of Beijing Forestry University, 2006, 28(5): 84-88.
    [45] 赵昶灵, 郭维明, 陈俊愉. 梅花花色色素种类和含量的初步研究[J]. 北京林业大学学报, 2004, 26(2): 68-73.
    [46] ZHAO C L, GUO W M, CHEN J Y. Preliminary study on the categories and contents of the flower color pigments of Prunus mume Sieb.et Zucc [J]. Journal of Beijing Forestry University, 2004, 26(2): 68-73.
    [47] KARL H D. A rapid method for the extraction and quantitative of total anthocyanin of cranberry fruit[J]. Agriculture Food Chemistry, 1978, 26(6): 1452-1453.
    [48] LITCHENTHALER H K. Chlorophylls and carotenoids: pigments of photosynthetic biomembranes [J]. Method Enzymology, 1987, 148: 350-382.
    [49] ARNON D I. Copper enzymes in isolated chloroplasts; polyphenoloxidase in Beta vulgaris[J]. Plant Physiology, 1949, 24(1): 1-15.
    [50] MERZLYAK M N, GITELSON A A, CHIVKUNOVA O B, et al. Non-destructive optical detection of leaf senescence and fruit ripening[J]. Physical Plant, 1999, 106(1): 135-141.
    [51] ROUSE J W, HAAS R H, SCHELL J A, et al. Monitoring vegetation systems in the Great Plains with ERTS[C]∥FREDEN S C, MERCANTI E P, BECKER M A. Third earth resources technology Satellite-1 symposium. Washington D. C.: NASA Science and Technology Information Office, 1974: 301-317
    [52] SIMS D A, GAMON J A. Relationship between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and development stages[J]. Remote Sensing of Environment, 2002, 81: 337-354.
    [53] RONDEAUX G, STEVEN M, BARET F. Optimization of soil-adjusted vegetation indices[J]. Remote Sensing of Environment, 1996, 55: 95-107.
    [54] MEGGIO F, ZARCO-TEJADA P J, NAU'U1 EZ L C, et al. Grape quality assessment in vineyards affected by iron deficiency chlorosis using narrow-band physiological remote sensing indices[J]. Remote Sensing of Environment, 2010, 114: 1968-1986.
    [55] 林辉, 臧卓, 刘秀英. 森林树种高光谱遥感研究[M]. 北京:中国林业出版社, 2011.
    [56] LIN H, ZANG Z, LIU X Y. Hyperspectral remote sensing research of forest trees[M]. Beijing: Chinese Forestry Press, 2011.
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  • 收稿日期:  2015-12-07
  • 刊出日期:  2016-08-31

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