基于茎材解剖结构的茶树树龄测定方法

江燕; 黎星辉; 浦滇; 蓝增全; 吴田

doi:10.13305/j.cnki.jts.2020.04.005

PDF(1081 KB)

茶叶科学 ›› 2020, Vol. 40 ›› Issue (4) : 492-500. DOI: 10.13305/j.cnki.jts.2020.04.005

研究报告

基于茎材解剖结构的茶树树龄测定方法

江燕¹, 黎星辉², 浦滇³, 蓝增全^4,*, 吴田^1,*

作者信息 +

A Preliminary Study on Determining Tea Plant Age Based on Anatomical Structure of Tea’s Stem

JIANG Yan¹, LI Xinghui², PU Dian³, LAN Zengquan^4,*, WU Tian^1,*

Author information +

文章历史 +

摘要

以茶树为研究对象,采用茶树茎材切片及染色技术,在生物数码显微镜的普通光和荧光下,对未处理的茶树茎材切片、番红染色茶树茎材切片及吖啶橙染色茶树茎材切片进行比较与分析。结果表明,茶树茎材切片使用吖啶橙染色后在普通光和荧光下确定树龄的效果较好。这种基于数字图像确定茶树树龄的吖啶橙染色法,具有快速、准确、简单和成本低等特点,对大茶树和古茶树活体生长锥取样年轮条的年轮识别具有科学参考意义。

Abstract

Tea plants were taken as the research objects in this study. Using tea stem slicing and dyeing technologies, the age of tea plants was accurately determined based on the digital images. Under ordinary light and fluorescence of bio-digital microscope, the untreated sections of tea stem, saffron-dyed sections and acridine orange-dyed sections of tea stem were compared and analyzed. The result shows that acridine orange dyeing was the best to determine the age of tea plants. The acridine orange dyeing method combined with digital image analysis had the characteristics of fast, accurate, simple and low cost. In conclusion, the technology also had a scientific reference significance for the identification of annual rings of living large and ancient tea plants.

导出引用

江燕, 黎星辉, 浦滇, 蓝增全, 吴田. 基于茎材解剖结构的茶树树龄测定方法[J]. 茶叶科学. 2020, 40(4): 492-500 https://doi.org/10.13305/j.cnki.jts.2020.04.005

JIANG Yan, LI Xinghui, PU Dian, LAN Zengquan, WU Tian. A Preliminary Study on Determining Tea Plant Age Based on Anatomical Structure of Tea’s Stem[J]. Journal of Tea Science. 2020, 40(4): 492-500 https://doi.org/10.13305/j.cnki.jts.2020.04.005

中图分类号： S571.1

参考文献

[1] 马建强, 姚明哲, 陈亮. 茶树种质资源研究进展[J]. 茶叶科学, 2015, 35(1): 11-16.
Ma J Q, Yao M Z, Chen L.Research progress on germplasms of tea plant (Camellia sinensis)[J]. Journal of Tea Science, 2015, 35(1): 11-16.
[2] 虞富莲. 论茶树原产地和起源中心[J]. 茶叶科学, 1986, 6(1): 1-8.
Yu F L.Discussion on the originating place and the originating center of tea plant[J]. Journal of Tea Science, 1986, 6(1): 1-8.
[3] 闵天禄. 山茶属茶组植物的订正[J]. 云南植物研究, 1992, 14(2): 115-132.
Min T L.A Revision of Camellia Sect. Thea[J]. Acta Botanica Yunnanica, 1992, 14(2): 115-132.
[4] 汪云刚, 刘本英, 宋维希, 等. 云南茶组植物的分布[J]. 西南农业学报, 2010, 23(5): 1750-1753.
Wang Y G, Liu B Y, Song W X, et al.Distribution of Sect. Thea (L.) Dyer in Yunnan Province[J]. Southwest China Journal of Agricultural Sciences, 2010, 23(5): 1750-1753.
[5] 宋馥杉, 张齐兵. 古树名木树龄鉴定及其科研价值研究[J]. 国土绿化, 2018(10): 50-51.
Song F S, Zhang Q B.Age identification and research value of ancient and famous trees[J]. Land Greening, 2018(10): 50-51.
[6] 姜明远, 张冬有. 基于Java的树木年轮分析系统研究[J]. 哈尔滨师范大学自然科学学报, 2019, 35(3): 89-93.
Jiang M Y, Zhang D Y.Research on tree ring analysis system based on Java[J]. Natural Science Journal of Harbin Normal University, 2019, 35(3): 89-93.
[7] Downes G M, Drew D M.Climate and growth influences on wood formation and utilisation[J]. Southern Forests: a Journal of Forest Science, 2008, 70(2): 155-167.
[8] 朱玉杰, 夏景涛. 木材检验实用技术[M]. 哈尔滨: 东北林业大学出版社, 2003: 34-43.
Zhu Y J, Xia J T.Practical techniques for wood inspection [M]. Harbin: Northeast Forestry University Press, 2003: 34-43.
[9] 赵娟娟. 图像处理技术在树木年轮测量中的应用研究[D]. 兰州: 兰州理工大学, 2012.
Zhao J J.Image processing technology in the measurement of the tree-ring research application [D]. Lanzhou: Lanzhou University of Technology, 2012.
[10] 张文涛, 江源, 王明昌, 等. 使用MiVnt图像分析系统进行树木年轮细胞特征研究的尝试[J]. 北京师范大学学报(自然科学版), 2015, 51(2): 154-159.
Zhang W T, Jiang Y, Wang M C, et al.Attempt on cell characterization of tree tings by Mivnt image analysis[J]. Journal of Beijing Normal University (Natural Science), 2015, 51(2): 154-159.
[11] Zhang Z.Tree-rings, a key ecological indicator of environment and climate change[J]. Ecological Indicators, 2015, 51: 107-116.
[12] 王燕凤. 树木年轮图像的边缘检测与树龄测量方法研究[D]. 杭州: 浙江农林大学, 2017.
Wang Y F.Study on edge detection for tree-ring detection and tree age measurement [D]. Hangzhou: Zhejiang A&F University, 2017.
[13] 宁霄, 赵鹏. 随机森林算法在树木年轮图像分割中的应用[J]. 林业工程学报, 2018, 3(4): 125-130.
Ning X, Zhao P.Image segmentation of tree ring based on the random forest algorithm[J]. Journal of Forestry Engineering, 2018, 3(4): 125-130.
[14] 胡玉斌. 树木年轮图像的特征提取方法研究[D]. 北京: 北京林业大学, 2008.
Hu Y B.Research on the features extracting of the tree-ring image [D]. Beijing: Beijing Forestry University, 2008.
[15] 赵士博, 齐月圆, 罗见, 等. 木年轮测量方法改进效果分析[J]. 吉林农业, 2017(21): 96-97.
Zhao S B, Qi Y Y, Luo J, et al.Analysis on the improvement effect of measurement method of tree ring[J]. Agriculture of Jilin, 2017(21): 96-97.
[16] Lebourgeois F.Climatic signals in earlywood, latewood and total ring width of Corsican pine from western France[J]. Annals of Forest Science, 2000, 57(2): 155-164.
[17] Verheyden A, Kairo J G, Beeckman H, et al.Growth rings, growth ring formation and age determination in the mangrove Rhizophora mucronata[J]. Annals of Botany, 2004, 94(1): 59-66.
[18] Grotta A T, Leichti R J, Gartner B L, et al.Effect of growth ring orientation and placement of earlywood and latewood on MOE and MOR of very-small clear douglas-fir beams[J]. Wood and Fiber Science, 2007, 37(2): 207-212.
[19] Islam M, Rahman M, Bräuning A.Growth-ring boundary anatomy and dendrochronological potential in a moist tropical forest in northeastern Bangladesh[J]. Tree-Ring Research, 2018, 74(1): 76-93.
[20] Gärtner H, Cherubini P, Fonti P, et al.A technical perspective in modern tree-ring research-how to overcome dendroecological and wood anatomical challenges[J]. Journal of Visualized Experiments, 2015(97): e52337. doi: 10.3791/52337.
[21] Lee B C, Baik K Y, Johng H M, et al.Acridine orange staining method to reveal the characteristic features of an intravascular threadlike structure[J]. The Anatomical Record Part B: The New Anatomist, 2004, 278B: 27-30.
[22] 蔡淑梅, 安淑娟, 金凤玲. 吖啶橙荧光染色诊断附红细胞体病研究进展及评价[J]. 国际检验医学杂志, 2013, 34(23): 3193-3195.
Cai S M, An S J, Jin F L.Progress and evaluation of acridine orange fluorescent staining in the diagnosis of eperythrozoonosis[J]. International Journal of Laboratory Medicine, 2013, 34(23): 3193-3195.
[23] 陈涛林, 葛智文. 柳州融水九万山古茶树研究[M]. 湖南: 湖南科学技术出版社. 2018: 9-25.
Chen T L, Ge Z W.Study on the ancient tea plants of Jiuwan mountain of Rongshui in Liuzhou [M]. Hunan: Hunan Science and Technology Press. 2018: 9-25.
[24] Power R M, Huisken J.A guide to light-sheet fluorescence microscopy for multiscale imaging[J]. Nature Methods, 2017, 14(4): 360-373.
[25] Lichtman J W, Conchello J A.Fluorescence microscopy[J]. Nature methods, 2005, 2(12): 910-919.
[26] 欧阳太祥. 古茶树资源调查与保护利用[J]. 南方农业, 2017, 11(15): 116-117.
Ouyang T X.Investigation, protection and utilization of ancient tea plant resources[J]. South China Agriculture, 2017, 11(15): 116-117.
[27] 虞富莲. 茶树龄乱象[J]. 中国茶叶, 2013, 35(7): 38-39.
Yu F L.Tea age disorder[J]. China Tea, 2013, 35(7): 38-39.