中国现代中药2016，Vol.18Issue(2)：189-192,4.DOI:10.13313/j.issn.1673-4890.2016.2.015
昭通乌天麻最佳采收期研究
Studies on Optimal Harvest Period of Zhaotong’s Gastrodiae Rhizoma (Gastrodia elata Bl.f.glauca S.Chow)
摘要
Abstract
Objective:The Xiao caoba and Zhong ming two regions in Zhao tong were investigated to determine the best harvest time of Zhaotong’s Gastrodia elata f.glauca.Accumulation of dry matter and the changing rule of the effective composition content were investigated.Methods:Fresh G.elata f.glauca were washed,steamed and then put in electric drum wind drying oven dryingto constant weight,examined detective index,the method was based on “Chinese pharmacopoeia”201 0 version.Results:Each index of Zhong Ming and Xiao caoba two producing areas of G.elata f.glauca showed a trend of first increasing and then decreasing in the whole study period,including tuber length and fresh weight in the fastest growth in September,little change in December to February of the flowing year,March began a small downward trend.Dry weight was the highest in November -December,and also started to decline in the following year in March.Drying rate,extract content and the content of gastrodin were the highest in November,the maximum values of drying rate were 30.36% and 26.60%, the content of gastrodin were 0.57% and 0.53%,respectively,both of the two in November to February of the following year to gradually declined.Extract content maximum values were 24.7% and 25.1 %,respectively.The change of November to January was minor,but dropped considerably from February to March.Conclusion:Comprehensive analysis examines two areas of G.elata f.glauca of size,yield and contents variation in different harvest period,from November to February of the next year is the best harvest period for Zhaotong’s G.elata f.glauca.关键词
昭通乌天麻/干物质积累/折干率/天麻素/动态研究/采收期Key words
Zhaotong’s Gastrodiae Rhizoma/dry material accumulation/drying rate/gastrodin/dynamic study/harvest period引用本文复制引用
刘金美,田治蛟,戴,张昌飞,余显伦,郭友刚,刘大会..昭通乌天麻最佳采收期研究[J].中国现代中药,2016,18(2):189-192,4.基金项目
国家科技支撑计划（2013BAK13B04）；云南省科技计划联合支持国家项目（2014GA006）；云南省科技计划重点项目 （）
