茶叶学报2018，Vol.59Issue(4)：193-198,6.
适制乌龙茶品种新梢主要品质化学轮廓的模式识别研究
Profiling the Functional Constituents in Camellia sinensis Shoots Desired for Making Oolong Teas
摘要
Abstract
The biochemical components in shoots of Camellia sinensis plants desired for making oolong teas were profiled for target breeding.Contents of water extracts (WEs) , tea polyphenols (TPs) , free amino acids (FAAs) , water soluble sugars (WSSs) and caffeine (CAF) in the spring and autumn shoots of representative oolong tea cultivars in Fujian were determined to compare with those in the spring shoots of green tea cultivars.From the visualized pattern recognition on the functional constituents and their combinations, the tea cultivars were classified into 4 groups by the partial least squares discriminant analysis (PLS-DA) .They were (1) young shoots of green tea cultivars, (2) mature leaves of green tea cultivars, (3) young shoots of oolong tea cultivars, and (4) mature leaves of oolong tea cultivars.The effects of harvesting season and shoot maturity on the chemical profile of the leaves harvested from the oolong tea cultivars could also be visualized by principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) .Compared among the groups by univariate statistics, WEs and TPs were found to be higher in the young green tea shoots, WSSs higher while CAF and FAAs lower in the mature green tea shoots, FAAs higher while WSSs lower in the young oolong tea shoots, and CAF higher while WEs and TPs lower in the mature oolong tea shoots.For the teas prepared from the autumn shoots of oolong tea cultivars, WEs, TPs and CAF were higher in the young shoots, and WSSs higher while CAF lower in the mature leaves.The information could be applied for the breeding and/or identifying cultivars suitable for producing high quality oolong teas.关键词
乌龙茶/茶树品种/鲜叶/品质成分/模式识别Key words
Oolong tea/tea cultivars/fresh leaves/functional constituents/pattern recognition分类
轻工纺织引用本文复制引用
陈林,宋振硕,陈键,王丽丽,余文权,尤志明..适制乌龙茶品种新梢主要品质化学轮廓的模式识别研究[J].茶叶学报,2018,59(4):193-198,6.基金项目
福建省自然科学基金(2016J01121) （2016J01121）
福建省科技重大专项专题(2017NZ0002-1) （2017NZ0002-1）
福建省农业科学院科技创新团队(STIT2017-1-3) （STIT2017-1-3）
福建省属公益类科研院所基本科研专项(2018R1012-4). （2018R1012-4）
