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

茶叶科学 >

2020 , Vol. 40 >Issue 4: 492 - 500

DOI: https://doi.org/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 ,
黎星辉 ,
浦滇 ,
蓝增全 ,
吴田

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1.西南林业大学国家林业与草原局西南风景园林工程技术研究中心,云南昆明 650224;
2.南京农业大学茶叶科学研究所,江苏南京 210095;
3.西南林业大学生态与水土保持学院,云南昆明 650224;
4.西南林业大学绿色发展研究院茶生态研究中心,云南昆明 650224

江燕，女，硕士研究生，研究方向植物资源与应用。

收稿日期: 2019-09-19

修回日期: 2019-10-30

网络出版日期: 2020-08-18

基金资助

国家现代农业产业技术体系建设专项资金（CARS-19）、国家自然科学基金（31470690）、古茶树保护与可持续利用国家创新联盟([2018]96）、云南省教育厅财政厅项目（LY2017-002）

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

JIANG Yan ,
LI Xinghui ,
PU Dian ,
LAN Zengquan ,
WU Tian

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1. Southwest Landscape Architecture Engineering Research Center of State Forestry Administration, Southwest Forestry University, Kunming 650224, China;
2. Tea Research Institute, Nanjing Agricultural University, Nanjing 210095, China;
3. School of Ecology and Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China;
4. Tea Ecology Research Center, Southwest Green Development Institute, Southwest Forestry University, Kunming 650224, China

Received date: 2019-09-19

Revised date: 2019-10-30

Online published: 2020-08-18

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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。

关键词： 茶树茎材切片; 染色技术; 荧光; 年轮; 数字图像

本文引用格式

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 . DOI: 10.13305/j.cnki.jts.2020.04.005

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.

Key words： stem slices of tea plant; dyeing technology; fluorescence; growth ring; digital image

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