IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v270y2022ics0378377422002979.html
   My bibliography  Save this article

Effects of muddy water irrigation with different sediment particle sizes and sediment concentrations on soil microbial communities in the Yellow River Basin of China

Author

Listed:
  • Chen, Lina
  • Zhao, Zilong
  • Li, Jiang
  • Wang, Haiming
  • Guo, Guomian
  • Wu, Wenbo

Abstract

Soil microbial communities are critically important for the transformation of nitrogen in agricultural farmlands. The effects of muddy water irrigation with different sediment particle sizes and sediment concentrations on microbial communities in the Yellow River Basin of China have not yet been studied. The 16 S rRNA profiles of bacterial communities in paddy soils were characterized using an orthogonal experiment with four moisture treatments (60%, 80%, and 100% water-filled pore space (WFPS), and drowned), four sediment particle sizes (d50 = 0.017, 0.038, 0.046, and 0.069 mm), and four sediment concentrations (0%, 1%, 5%, and 10%). Proteobacteria, Bacteroidetes, Gemmatimonadetes, Acidobacteria, Chlorobi, and Nitrospirae were the most abundant phyla, and Azospirillum, Limnobacter, Methylophaga, Ramlibacter, Mesorhizobium, Anaeromyxobacter, Geobacter, Candidatus_Solibacter, Gallionella, and Rubrivivax were the most abundant nitrogen-related genera across all treatments. Soil bulk density (SBD) was significantly correlated with Azospirillum, Limnobacter, Methylophaga, Geobacter, and Gallionella. Alpha diversity was highest in the treatment with 100% WFPS, 1% sediment concentration, and 0.069 mm particle size. pH, NH4+, and NO3- were most closely related to the relative abundance of nitrogen-related genera according to correlation analysis. Redundancy analysis (RDA) showed that SBD was the most important factor affecting soil microorganisms; however, NH4+ and NO3- also had substantial effects on soil microorganisms. Structural equation modeling revealed that SBD and pH were the most important factors affecting nitrogen transformation and the microbial community; however, NO3-, NH4+, and the nitrification rate also had significant effects. Overall, the results indicate that muddy water irrigation can be used to enhance the diversity of the soil microbial community. The findings will also aid future research examining the effects of moisture and sediment variables on soil microbial communities in the Yellow River Basin.

Suggested Citation

  • Chen, Lina & Zhao, Zilong & Li, Jiang & Wang, Haiming & Guo, Guomian & Wu, Wenbo, 2022. "Effects of muddy water irrigation with different sediment particle sizes and sediment concentrations on soil microbial communities in the Yellow River Basin of China," Agricultural Water Management, Elsevier, vol. 270(C).
    • Handle: RePEc:eee:agiwat:v:270:y:2022:i:c:s0378377422002979
    DOI: 10.1016/j.agwat.2022.107750
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422002979
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107750?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. Zhenghu Zhou & Chuankuan Wang & Yiqi Luo, 2020. "Meta-analysis of the impacts of global change factors on soil microbial diversity and functionality," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    2. Shanzhong Qi & Haili Liu, 2017. "Natural and anthropogenic hazards in the Yellow River Delta, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(3), pages 1907-1911, February.
    3. Li, Jie & Yang, Hong & Zhou, Feng & Zhang, Xiaochen & Luo, Jiafa & Li, Yan & Lindsey, Stuart & Shi, Yuanliang & He, Hongbo & Zhang, Xudong, 2019. "Effects of maize residue return rate on nitrogen transformations and gaseous losses in an arable soil," Agricultural Water Management, Elsevier, vol. 211(C), pages 132-141.
    4. Molder, Bryce & Cockburn, Jaclyn & Berg, Aaron & Lindsay, John & Woodrow, Kathryn, 2015. "Sediment-assisted nutrient transfer from a small, no-till, tile drained watershed in Southwestern Ontario, Canada," Agricultural Water Management, Elsevier, vol. 152(C), pages 31-40.
    5. Wang, Jingwei & Li, Yuan & Niu, Wenquan, 2021. "Effect of alternating drip irrigation on soil gas emissions, microbial community composition, and root–soil interactions," Agricultural Water Management, Elsevier, vol. 256(C).
    6. Han, Huanhao & Gao, Rong & Cui, Yuanlai & Gu, Shixiang, 2021. "Transport and transformation of water and nitrogen under different irrigation modes and urea application regimes in paddy fields," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    8. Shanshan Liu & Tianling Qin & Biqiong Dong & Xuan Shi & Zhenyu Lv & Guangjun Zhang, 2021. "The Influence of Climate, Soil Properties and Vegetation on Soil Nitrogen in Sloping Farmland," Sustainability, MDPI, vol. 13(3), pages 1-14, February.
    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. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    2. Mr. Emmanuel Momolu Pope & Prof. Wilson Opile & Dr. Lucas Ngode & Dr. Chepkoech Emmy, 2023. "Assessment of Upland Rice Production Constraints and Farmers’ Preferred Varieties in Liberia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 1307-1322, February.
    3. Samuthirapandi Subburaj & Thiyagarajan Thulasinathan & Viswabharathy Sakthivel & Bharathi Ayyenar & Rohit Kambale & Veera Ranjani Rajagopalan & Sudha Manickam & Raghu Rajasekaran & Gopalakrishnan Chel, 2024. "Genetic Enhancement of Blast and Bacterial Leaf Blight Resistance in Rice Variety CO 51 through Marker-Assisted Selection," Agriculture, MDPI, vol. 14(5), pages 1-20, April.
    4. F. Jorge Bornemann & David P. Rowell & Barbara Evans & Dan J. Lapworth & Kamazima Lwiza & David M.J. Macdonald & John H. Marsham & Kindie Tesfaye & Matthew J. Ascott & Celia Way, 2019. "Future changes and uncertainty in decision-relevant measures of East African climate," Climatic Change, Springer, vol. 156(3), pages 365-384, October.
    5. Purola, Tuomo & Lehtonen, Heikki, 2020. "Evaluating profitability of soil-renovation investments under crop rotation constraints in Finland," Agricultural Systems, Elsevier, vol. 180(C).
    6. Manal A. Alnaimy & Sahar A. Shahin & Ahmed A. Afifi & Ahmed A. Ewees & Natalia Junakova & Magdalena Balintova & Mohamed Abd Elaziz, 2022. "Spatio Prediction of Soil Capability Modeled with Modified RVFL Using Aptenodytes Forsteri Optimization and Digital Soil Assessment Technique," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    7. Nina Repar & Pierrick Jan & Thomas Nemecek & Dunja Dux & Martina Alig Ceesay & Reiner Doluschitz, 2016. "Local versus Global Environmental Performance of Dairying and Their Link to Economic Performance: A Case Study of Swiss Mountain Farms," Sustainability, MDPI, vol. 8(12), pages 1-19, December.
    8. Kaiwen Chen & Shuang’en Yu & Tao Ma & Jihui Ding & Pingru He & Yao Li & Yan Dai & Guangquan Zeng, 2022. "Modeling the Water and Nitrogen Management Practices in Paddy Fields with HYDRUS-1D," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
    9. Hampf, Anna C. & Carauta, Marcelo & Latynskiy, Evgeny & Libera, Affonso A.D. & Monteiro, Leonardo & Sentelhas, Paulo & Troost, Christian & Berger, Thomas & Nendel, Claas, 2018. "The biophysical and socio-economic dimension of yield gaps in the southern Amazon – A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 165(C), pages 1-13.
    10. Zecca, Francesco & D’Errico, Marco, 2021. "Food security and land use: The Ethiopian case," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 23(2), July.
    11. Catarina D. Melo & Cristiana S. A. M. Maduro Dias & Sophie Wallon & Alfredo E. S. Borba & João Madruga & Paulo A. V. Borges & Maria T. Ferreira & Rui B. Elias, 2022. "Influence of Climate Variability and Soil Fertility on the Forage Quality and Productivity in Azorean Pastures," Agriculture, MDPI, vol. 12(3), pages 1-18, March.
    12. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    13. Rong Ma & Ke Li & Yixin Guo & Bo Zhang & Xueli Zhao & Soeren Linder & ChengHe Guan & Guoqian Chen & Yujie Gan & Jing Meng, 2021. "Mitigation potential of global ammonia emissions and related health impacts in the trade network," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    14. Fritz, Steffen & See, Linda & Bayas, Juan Carlos Laso & Waldner, François & Jacques, Damien & Becker-Reshef, Inbal & Whitcraft, Alyssa & Baruth, Bettina & Bonifacio, Rogerio & Crutchfield, Jim & Rembo, 2019. "A comparison of global agricultural monitoring systems and current gaps," Agricultural Systems, Elsevier, vol. 168(C), pages 258-272.
    15. Anika Reetsch & Kai Schwärzel & Christina Dornack & Shadrack Stephene & Karl-Heinz Feger, 2020. "Optimising Nutrient Cycles to Improve Food Security in Smallholder Farming Families—A Case Study from Banana-Coffee-Based Farming in the Kagera Region, NW Tanzania," Sustainability, MDPI, vol. 12(21), pages 1-34, November.
    16. Nakayama, Tadanobu & Osako, Masahiro, 2023. "Development of a process-based eco-hydrology model for evaluating the spatio-temporal dynamics of macro- and micro-plastics for the whole of Japan," Ecological Modelling, Elsevier, vol. 476(C).
    17. Daryanto, Stefani & Fu, Bojie & Zhao, Wenwu & Wang, Shuai & Jacinthe, Pierre-André & Wang, Lixin, 2020. "Ecosystem service provision of grain legume and cereal intercropping in Africa," Agricultural Systems, Elsevier, vol. 178(C).
    18. Angga Pradesha & Sherman Robinson & Mark W. Rosegrant & Nicostrato Perez & Timothy S. Thomas, 2022. "Exploring transformational adaptation strategy through agricultural policy reform in the Philippines," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1435-1447, December.
    19. Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen & Wu, Lifeng & Yan, Shicheng, 2020. "Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China," Agricultural Water Management, Elsevier, vol. 230(C).
    20. Matthew C. LaFevor & Alexandra G. Ponette-González & Rebecca Larson & Leah M. Mungai, 2021. "Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages," Land, MDPI, vol. 10(7), pages 1-17, July.

    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:270:y:2022:i:c:s0378377422002979. 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.