IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v278y2023ics0378377423000100.html
   My bibliography  Save this article

Effect of water and fertilizer regulation on the soil microbial biomass carbon and nitrogen, enzyme activity, and saponin content of Panax notoginseng

Author

Listed:
  • Tuo, Yunfei
  • Wang, Zhaoyi
  • Zheng, Yang
  • Shi, Xiaolan
  • Liu, Xiangning
  • Ding, Mingjing
  • Yang, Qiliang

Abstract

Improper irrigation by Panax notoginseng growers can lead to soil consolidation, low fertilizer utilization, and decreased yield quality. In an attempt to provide a scientific and theoretical basis for Panax notoginseng cultivation to improve soil microhabitat and yield quality, field experiment were conducted on three-year-old Panax notoginseng in 2019, 2020, and 2021. The experimental design consisted of two control factors, the amount of irrigation (W) and the amount of fertilizer (F) applied. The irrigation was set to three levels, as W1, W2, and W3, with exact irrigation volumes of 5 mm, 10 mm, and 15 mm. The amount of fertilizer applied was different in all four growth stages. The amount of fertilizer applied according to the four growth stages (rooting stage: seedling stage: flowering stage: fruiting stage), where F1 (360–360–360–360 kg hm−2), F2 (288–360–432–360 kg hm−2), F3 (216–432–432–360 kg hm−2) and F4 (144–576–288–432 kg hm−2). The W and F were randomly combined to form a total of 12 treatments. And a control treatment (CK), was added, and CK was neither irrigated nor fertilization. For obtaining the best treatment results, the TOPSIS method was used to comprehensively evaluate the soil microbial biomass carbon and nitrogen, enzyme activity, physiological growth and saponin content of Panax notoginseng in 13 different water and fertilizer treatments. The results indicated that microbial biomass carbon and nitrogen, urease, sucrase, acid phosphatase and catalase activities of Panax notoginseng soil were significantly different (P < 0.05) and varied with the growth stage. The comprehensive evaluation by the TOPSIS method ranked W3F4 first and was the optimal treatment. The W3F4 treatment was more beneficial to the quality of Panax notoginseng than the other 12 treatments. W3F4 had the largest soil microbial biomass carbon and nitrogen content. W3F4 had the highest urease, sucrase, acid phosphatase, and catalase activities, which were 1.95, 1.69, 2.32, and 1.47 times higher than the CK treatment, respectively. W3F4 significantly improved R1, Rg1, Re, Rb1, and Rd saponin content. This study provided a theoretical basis for the water and fertilizer regulation of Panax notoginseng with its green, healthy and efficient quality cultivation.

Suggested Citation

  • Tuo, Yunfei & Wang, Zhaoyi & Zheng, Yang & Shi, Xiaolan & Liu, Xiangning & Ding, Mingjing & Yang, Qiliang, 2023. "Effect of water and fertilizer regulation on the soil microbial biomass carbon and nitrogen, enzyme activity, and saponin content of Panax notoginseng," Agricultural Water Management, Elsevier, vol. 278(C).
    • Handle: RePEc:eee:agiwat:v:278:y:2023:i:c:s0378377423000100
    DOI: 10.1016/j.agwat.2023.108145
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377423000100
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2023.108145?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huang, Wencheng & Zhang, Yue & Yu, Yaocheng & Xu, Yifei & Xu, Minhao & Zhang, Rui & De Dieu, Gatesi Jean & Yin, Dezhi & Liu, Zhanru, 2021. "Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    2. Li, Jie & Yang, Qiliang & Shi, Zhengtao & Zang, Zhennan & Liu, Xiaogang, 2021. "Effects of deficit irrigation and organic fertilizer on yield, saponin and disease incidence in Panax notoginseng under shaded conditions," Agricultural Water Management, Elsevier, vol. 256(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tang, Jiankai & Yang, Qiliang & Liang, Jiaping & Wang, Haidong & Yue, Xiulu, 2024. "Water management, planting slope indicators, and economic benefit analysis for Panax notoginseng production decision under shaded and rain-shelter cultivation: A three-year sloping fields experiment," Agricultural Water Management, Elsevier, vol. 291(C).
    2. Izdebski, Mariusz & Jacyna-Gołda, Ilona & Gołda, Paweł, 2022. "Minimisation of the probability of serious road accidents in the transport of dangerous goods," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Huang, Wencheng & Yin, Dezhi & Xu, Yifei & Zhang, Rui & Xu, Minhao, 2022. "Using N-K Model to quantitatively calculate the variability in Functional Resonance Analysis Method," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Haochun Yang & Yunyi Liang, 2023. "Examining the Connectivity between Urban Rail Transport and Regular Bus Transport," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
    5. Xufeng Li & Juanjuan Ma & Lijian Zheng & Jinping Chen & Xihuan Sun & Xianghong Guo, 2022. "Optimization of the Regulated Deficit Irrigation Strategy for Greenhouse Tomato Based on the Fuzzy Borda Model," Agriculture, MDPI, vol. 12(3), pages 1-16, February.
    6. Zhang, Jiaan & Liu, Dong & Li, Zhijun & Han, Xu & Liu, Hui & Dong, Cun & Wang, Junyan & Liu, Chenyu & Xia, Yunpeng, 2021. "Power prediction of a wind farm cluster based on spatiotemporal correlations," Applied Energy, Elsevier, vol. 302(C).
    7. Nejad, Hamed S. & Parhizkar, Tarannom & Mosleh, Ali, 2022. "Automatic generation of event sequence diagrams for guiding simulation based dynamic probabilistic risk assessment (SIMPRA) of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    8. Wen Cao & Lin Yang & Qinyi Zhang & Lihua Chen & Weidong Wu, 2021. "Evaluation of Rural Dwellings’ Energy-Saving Retrofit with Adaptive Thermal Comfort Theory," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    9. Li, Guoqi & Pu, Gang & Yang, Jiaxin & Jiang, Xinguo, 2024. "A multidimensional quantitative risk assessment framework for dense areas of stay points for urban HazMat vehicles," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    10. Shen, Jingwei & Zong, Huiming, 2023. "Identification of critical transportation cities in the multimodal transportation network of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    11. Zang, Zhennan & Zhang, Xiaofan & Mu, Tianqi & Yao, Leilei & Ji, Chunwei & Yang, Qiliang & Liang, Jiaping & Li, Na & Wang, Haidong & Guo, Jinjin & Yang, Ling, 2024. "Combined effects of rain-shelter cultivation and deficit micro-sprinkler irrigation practice on yield, nutrient uptake, economic benefit and water productivity of Panax notoginseng in a semi-arid regi," Agricultural Water Management, Elsevier, vol. 293(C).
    12. Huang, Wencheng & Zhang, Yue & Yin, Dezhi & Zuo, Borui & Liu, Zhanru, 2021. "Urban bus accident analysis: based on a Tropos Goal Risk-Accident Framework considering Learning From Incidents process," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    13. Wang, Zeyi & Zhang, Hengjia & Wang, Yingying & Wang, Yong & Lei, Lian & Liang, Chao & Wang, Yucai, 2023. "Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis," Agricultural Water Management, Elsevier, vol. 275(C).
    14. Wang, Ning & Zhang, Tonghui & Cong, Anqi & Lian, Jie, 2023. "Integrated application of fertilization and reduced irrigation improved maize (Zea mays L.) yield, crop water productivity and nitrogen use efficiency in a semi-arid region," Agricultural Water Management, Elsevier, vol. 289(C).
    15. Tao, Longlong & Wu, Jie & Ge, Daochuan & Chen, Liwei & Sun, Ming, 2022. "Risk-informed based comprehensive path-planning method for radioactive materials road transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    16. Gu, Shuang & Li, Keping & Feng, Tao & Yan, Dongyang & Liu, Yanyan, 2022. "The prediction of potential risk path in railway traffic events," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    17. Qiang He & Xin Deng & Chuan Li & Zhongcheng Yan & Yanbin Qi, 2021. "Do Internet Skills Increase Farmers’ Willingness to Participate in Environmental Governance? Evidence from Rural China," Agriculture, MDPI, vol. 11(12), pages 1-18, November.
    18. Zang, Zhennan & Liang, Jiaping & Yang, Qiliang & Zhou, Ningshan & Li, Na & Liu, Xiaogang & Liu, Yanwei & Tan, Shuai & Chen, Shaomin & Tang, Zhenya, 2022. "An adaptive abiotic stresses strategy to improve water use efficiency, quality, and economic benefits of Panax notoginseng: Deficit irrigation combined with sodium chloride," Agricultural Water Management, Elsevier, vol. 274(C).
    19. Zhao, Yu & Feng, Qi, 2024. "Identifying spatial and temporal dynamics and driving factors of cultivated land fragmentation in Shaanxi province," Agricultural Systems, Elsevier, vol. 217(C).
    20. Song, Dongran & Xu, Shanmin & Huang, Lingxiang & Xia, E. & Huang, Chaoneng & Yang, Jian & Hu, Yang & Fang, Fang, 2022. "Multi-site and multi-objective optimization for wind turbines based on the design of virtual representative wind farm," Energy, Elsevier, vol. 252(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:278:y:2023:i:c:s0378377423000100. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.