Quantitative taxonomic study on agronomic traits of cultivated Gastrodia elata.
10.19540/j.cnki.cjcmm.20200329.111
- Author:
Run QIAN
1
;
Hui LI
2
;
Zhong-Yi HUA
3
;
Yuan YUAN
4
;
Deng-Mei XIE
1
Author Information
1. School of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China.
2. Aademician Workstation, Jiangxi University of Traditional Chinese Medicine Nanchang 330004, China.
3. State Key Laboratory Breeding Base of Dao-di Herbs,National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
4. School of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China State Key Laboratory Breeding Base of Dao-di Herbs,National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
- Publication Type:Journal Article
- Keywords:
Gastrodia elata;
agronomic traits;
cluster analysis;
factor analysis;
quantitative taxonomy
- MeSH:
China;
Gastrodia;
Phenotype;
Plant Tubers
- From:
China Journal of Chinese Materia Medica
2020;45(13):3085-3090
- CountryChina
- Language:Chinese
-
Abstract:
To better understand the formation mechanism of Gastrodia elata traits, the agronomic traits of aboveground tissues and tubers were measured and analyzed in this study. It has shown that the color and thickness of the stems of the 39 samples of the G. elata collected are affected by the germplasm and variation. Clustering analysis of 39 agronomic traits of G. elata was conducted with Ward's method and Euclidean distance. The threshold of 11.0 was divided into three groups, namely hybrid G. elata, G. elata f. elata and G. elata f. glauca. Simultaneously, the correlation analysis, coefficient of variation analysis, factor analysis and cluster analysis of 13 agronomic traits of 105 G. elata tuber samples were carried out. The results showed that the weight of G. elata was significantly positively correlated with tuber length and width. The agronomic traits of tuber were highly variable, and the depth of variability of the scar was the largest and 13 agronomic traits could be divided into 6 types of factors and the contribution up to 89.348%, furthermore, tuber length factor, width and weight factor contributed more than 20%, indicating that it is of great significance for distinguishing G. elata germplasm. Cluster analysis was performed by Ward's method and Euclidean distance, with 8.0 as the threshold can be divided into three categories in the light of the origin of the source, 33 samples from Shanxi and Hubei are clustered into one category, and 19 samples from Yunnan and Guizhou are clustered into one group, and the remaining samples are grouped into one category. This study will provide a basis for the identification and purification of G. elata germplasm and germplasm resources.
