数字农科院2.0

Potassium and Magnesium in American Ginseng Roots as Key Factors in Monitoring Soil Quality, Yield, and Quality: Screening, Prediction, and Validation

文献类型： 外文期刊

作者： Jiaqi Qian;Hai Sun;Cai Shao;Hao Liang;Weiyu Cao;Bochen Lv;Yayu Zhang

作者机构：

关键词： active ingredients;American ginseng;nutrient elements;prediction model;soil quality

期刊名称： Horticulturae

ISSN： 2311-7524

年卷期： 2024 年 10 卷 4 期

页码：

收录情况： SCIE（2024版）

摘要： Understanding the key roles of nutrient elements in soil–plant systems are essential for herbal medicine production and sustainable development. However, the ecological relationships between soil quality and nutrient elements, yield, saponins, or other active compounds in American ginseng remain unclear. In this study, 20 soil indicators, 10 root nutrient indicators, 9 quality indicators, and yields were investigated. The minimum dataset was constructed by principal component analysis, key factors were screened by correlation analysis and PLS-PM analysis, and the prediction model was constructed using linear fitting and tested by a validation test. The minimum dataset, constructed based on principal component analysis, comprised five indicators: SOM, TP, AK, AMg, and ACa. Correlation analysis, PLS-PM analysis, and linear fitting showed that K and Mg were the key factors relating soil quality to the yield and quality of American ginseng and that when AMg was 0.21 g/kg and AK was 0.30 g/kg, soil organic matter was 27%, total phosphorus was 1.19 g/kg in soil, K content in roots was 15.63 g/kg, Mg content was 1.91 g/kg, and the K/Mg of 8.85 could balance American ginseng yield and quality. In predicting and validating the model, predicting the DW, total ginsenoside, Rb1, Rb2, Rc, and Rd of American ginseng using K/Mg were reliable. This study provides a scientific basis for nutrient regulation, selecting planting sites, assessing soil quality, and predicting and evaluating American ginseng quality.

分类号：

  • 相关文献

[1]Effect of Toxins Isolated from Exserohilum monoceras (Drechsler) Leonard and Suggs on Echinochloa crus-galli (L.) Beauv.. Zheng Wei,Wang Li-ming,Li Guo-xi,Liu Xin-gui,Han Cheng-chou,Zeng Ren-sen,Cui Hai-lan. 2009

[2]Effects of elevated O-3 exposure on nutrient elements and quality of winter wheat and rice grain in Yangtze River Delta, China. Zheng, Feixiang,Du, Keming,Sun, Zhongfu,Zheng, Feixiang,Wang, Xiaoke,Zhang, Weiwei,Hou, Peiqiang,Lu, Fei,Zhang, Weiwei. 2013

[3]Effects of Arsenic on Nutrients Uptake of Wheat (Triticum aestivum L) at Different Growth Stages. Liu, Quanji,Zheng, Chuangmu,Liu, Quanji,Hu, Chengxiao,Tan, Qiling,Sun, Xuecheng.

[4]Preliminary Study on Optimizing Rice Production in Cold Regions: Yield and Nutritional Trade-Offs Between Transplanting and Mechanical Hill-Drop Seeding. Ding, Huaguo,Zhou, Songjin,Han, Jiabao,Liu, Yingying,Cao, Ziliang,Lei, Lei,Bai, Mingliang,Luo, Yu,Yang, Guang,Chen, Lei,Liu, Kai,Sun, Wu-Rina,Sun, Pinglian,Sun, Chenshi. 2026

[5]Evaluation of Antibacterial and Anti-inflammatory Activities of Less Polar Ginsenosides Produced from Polar Ginsenosides by Heat-transformation. Wang, Lijun,Yang, Xiushi,Yu, Xiaona,Yao, Yang,Ren, Guixing,Wang, Lijun,Yang, Xiushi,Yu, Xiaona.

[6]Optimization of Ultrasonic-Assisted Extraction Process of Polysaccharides from American Ginseng and Evaluation of Its Immunostimulating Activity. Yang Xiu-shi,Dung Chuan,Yang Xiu-shi,Wang Li-jun,Ren Gui-xing,Wang Li-jun,Lui, Edmund Man King. 2014

[7]Structural and anti-inflammatory characterization of a novel neutral polysaccharide from North American ginseng (Panax quinquefolius). Wang, Lijun,Yu, Xiaona,Yang, Xiushi,Yao, Yang,Ren, Guixing,Wang, Lijun,Li, Yi,Lui, Edmund Man King.

[8]Structural features and immunostimulating effects of three acidic polysaccharides isolated from Panax quinquefolius. Wang, Lijun,Yao, Yang,Sang, Wei,Yang, Xiushi,Ren, Guixing,Wang, Lijun.

[9]A bZIP transcription factor, PqbZIP1, is involved in the plant defense response of American ginseng. Shanshan Yang,Xiaoxiao Zhang,Ximei Zhang,Yanmeng Bi,Weiwei Gao. 2022

[10]American ginseng with different processing methods ameliorate immunosuppression induced by cyclophosphamide in mice via the MAPK signaling pathways. Zhang Y.-T.,Tian W.,Lu Y.-S.,Li Z.-M.,Ren D.-D.,Zhang Y.,Sha J.-Y.,Huo X.-H.,Li S.-S.,Sun Y.-S.. 2023

[11]Removing The Endosperm Of Ginseng And American Ginseng Seeds Results In Embryos Developing Into Normal Seedlings. Li, HY, Li, Y, Xu, SQ, Wang, YP, Zhang, H. 2020

[12]Variation in ginsenoside content and composition within the American ginseng population. Jin, Yinping,Yu, Yunzhe,Liu, Chong,Zhao, Zihao,Li, Zheng,Pang, Shifeng,Qiao, Siwei,Zhang, Hao. 2024

[13]Prediction model for mercury transfer from soil to corn grain and its cross-species extrapolation. Hu Hai-yan,Li Zhao-jun,Feng Yao,Liu Yuan-wang,Xue Jian-ming,Davis, Murray,Liang Yong-Chao. 2016

[14]Predicting metabolizable energy of normal corn from its chemical composition in adult Pekin ducks. Zhao, F.,Zhang, H. F.,Hou, S. S.,Zhang, Z. Y.. 2008

[15]Development of near-infrared reflectance spectroscopy models for quantitative determination of water-soluble carbohydrate content in wheat stem and glume. Wang, Zhenghang,Liu, Xiulin,Chang, Xiaoping,Jing, Ruilian,Wang, Zhenghang,Liu, Xiulin,Li, Runzhi.

[16]Prediction models for transfer of arsenic from soil to corn grain (Zea mays L.). Yang, Hua,Li, Zhaojun,Liang, Yongchao,Yang, Hua,Long, Jian,Xue, Jianming,Davis, Murray,He, Wenxiang.

[17]Spectral Response of Maize Leaves and Prediction of Their Nitrogen Content. Chen Zhi-qiang,Wang Lei,Bai You-lu,Yang Li-ping,Lu Yan-li,Wang He,Wang Zhi-yong. 2013

[18]Hyperspectral Prediction Model for Maize Leaf SPAD in the Whole Growth Period. Chen Zhi-qiang,Wang Lei,Bai You-lu,Yang Li-ping,Lu Yan-li,Wang He,Wang Zhi-yong. 2013

[19]Predictive model for cadmium uptake by maize and rice grains on the basis of bioconcentration factor and the diffusive gradients in thin-films technique. Rui Chen,Nuo Cheng,Guoyu Ding,Fumin Ren,Jungang Lv,Rongguang Shi. 2021

[20]UAV-Based Hyperspectral and Ensemble Machine Learning for Predicting Yield in Winter Wheat. Zongpeng Li,Zhen Chen,Qian Cheng,Fuyi Duan,Ruixiu Sui,Xiuqiao Huang,Honggang Xu. 2022

作者其他论文 更多>>