Comprehensive evaluation of Pinellia ternata germplasm resources based on phenotypic trait classification.
10.19540/j.cnki.cjcmm.20230811.101
- Author:
Li LIU
1
;
Xue FENG
2
;
Jia-Lu WANG
2
;
Jia-Lei CHEN
2
;
Meng-Meng HOU
2
;
Xiang-Yu ZHANG
3
;
Kai-Yang LI
4
;
Xi-Wen LI
2
;
Shi-Lin CHEN
5
Author Information
1. School of Pharmacy, Guizhou University of Traditional Chinese Medicine Guiyang 550025, China Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
2. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
3. Bijie Institute of Traditional Chinese Medicine Bijie 551700, China.
4. Hezhang County Mountain High Efficiency Agricultural Technology Co., Ltd. Bijie 553200, China.
5. School of Pharmacy, Guizhou University of Traditional Chinese Medicine Guiyang 550025, China Chengdu University of Traditional Chinese Medicine Chengdu 610000, China.
- Publication Type:Journal Article
- Keywords:
comprehensive evaluation;
germplasm resources of Pinellia ternata;
membership function method;
phenotypic diversity;
principal component analysis
- MeSH:
Plants, Medicinal;
Pinellia/genetics*;
Plant Breeding;
Phenotype;
Uridine
- From:
China Journal of Chinese Materia Medica
2023;48(24):6613-6623
- CountryChina
- Language:Chinese
-
Abstract:
The evaluation of germplasm resources is the prerequisite for the development, utilization, and conservation of Chinese medicinal resources. The selection of excellent germplasm is the key to the breeding and orderly production of Pinellia ternata. In this study, 21 germplasm materials of P. ternata from major production areas in China were collected and analyzed for population diversity after phenotypic preliminary screening. The results have revealed that the P. ternata population has abundant phenotypic variation, and the phenotypic changes could be divided into five phenotypes in terms of organ trait variation. Further analysis of variation in 20 quantitative traits of the population revealed that the coefficient of variation for adenosine content(339.05%) was the largest, while the coefficient of variation for the underground plant height(16.35%) was the smallest. Correlation analysis showed that there was a strong correlation among various traits, with 52 pairs of traits showing highly significant correlation(P<0.01) and 19 pairs of traits showing a significant correlation(P<0.05). The 21 germplasms in the test could be classified into three major clusters by cluster analysis, with Cluster Ⅱ having the highest number and content of nucleosides, making it suitable for the selection and breeding of P. ternata varieties with high content of nucleosides. The yield in Cluster Ⅲ was higher than that in other groups, making it suitable for the selection and breeding of P. ternata varieties with a high yield. All trait indicators could be simplified into five principal component factors through principal component analysis, and the cumulative contribution rate was up to 86.04%. Further, comprehensive analysis using membership function and stepwise regression analysis identified nine traits, such as plant height, main leaf length, and underground plant height as characteristic indicators for the comprehensive evaluation of germplasm resources of P. ternata. BX007, BX008, and BX005 were identified as germplasms with both high yield and high uridine content, with BX007 having the highest uridine content of 479.51 μg·g~(-1). It belonged to the germplasm of P. ternata with double bulbils and could be cultivated as a potential good variety. Based on the phenotypic classification of P. ternata, systematic resource evaluation was carried out in this study, which could lay a foundation for the excavation of genetic resources and the breeding of new varieties of P. ternata.
