IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v260y2022ics0378377421004650.html
   My bibliography  Save this article

Drip irrigation mode affects tomato yield by regulating root–soil–microbe interactions

Author

Listed:
  • Wang, Jingwei
  • Du, Yadan
  • Niu, Wenquan
  • Han, Jinxian
  • Li, Yuan
  • Yang, Pingguo

Abstract

A deep understanding of root–soil–microbe interactions in response to drip irrigation can help optimize drip irrigation techniques and improve crop yield; however, relevant knowledge remains limited. In this study, field experiments were conducted for two consecutive years to investigate the effects of surface drip irrigation (DI), subsurface drip irrigation (SDI), and alternate drip irrigation (ADI) on root–soil–microbe interactions and tomato yield. The results showed that the soil moisture distribution uniformity in the root zone (0–60 cm depth) was reduced in the order SDI > DI > ADI. In the SDI treatment, the tomato root lengths were 4.83- and 3.94-fold higher than those in the DI and ADI treatments, respectively, and the relative abundances of Patescibacteria in the bacterial community and Blastocladiomycota in the fungal community were significantly elevated. In the ADI treatment, the root length was 1.23-fold higher than that in the DI treatment, and the relative abundance of Patescibacteria also increased significantly compared with that in the DI treatment. These changes led to distinct root–soil–microbe interactions. The most intensive positive root–soil–microbe interactions occurred in the SDI treatment, followed by the ADI and DI treatments. The differences in the root–soil–microbe interactions regulated tomato yield. The tomato yield in the SDI treatment was increased by 19.77% and 7.77% compared with that in the DI and ADI treatments, respectively. In the ADI treatment, the tomato yield was 24.09% higher than that in the DI treatment. Therefore, the different drip irrigation methods can regulate tomato yield by affecting root–soil–microbe interactions. The results provide a reference for the optimization of the drip irrigation mode to regulate root–soil–microbe interactions and increase tomato yield.

Suggested Citation

  • Wang, Jingwei & Du, Yadan & Niu, Wenquan & Han, Jinxian & Li, Yuan & Yang, Pingguo, 2022. "Drip irrigation mode affects tomato yield by regulating root–soil–microbe interactions," Agricultural Water Management, Elsevier, vol. 260(C).
  • Handle: RePEc:eee:agiwat:v:260:y:2022:i:c:s0378377421004650
    DOI: 10.1016/j.agwat.2021.107188
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421004650
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2021.107188?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. Liu, Rui & Yang, Yu & Wang, Yao-sheng & Wang, Xing-Chen & Rengel, Zed & Zhang, Wen-Ju & Shu, Liang-Zuo, 2020. "Alternate partial root-zone drip irrigation with nitrogen fertigation promoted tomato growth, water and fertilizer-nitrogen use efficiency," Agricultural Water Management, Elsevier, vol. 233(C).
    2. Stamatios Elmaloglou & Konstantinos Soulis & Nicholas Dercas, 2013. "Simulation of Soil Water Dynamics Under Surface Drip Irrigation from Equidistant Line Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4131-4148, September.
    3. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng, 2016. "Can the drip irrigation under film mulch reduce crop evapotranspiration and save water under the sufficient irrigation condition?," Agricultural Water Management, Elsevier, vol. 177(C), pages 128-137.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuan Li & Mingzhi Zhang & Zhenguang Lu & Yushun Zhang & Jingwei Wang, 2022. "Effects of Irrigation Strategy and Plastic Film Mulching on Soil N 2 O Emissions and Fruit Yields of Greenhouse Tomato," Agriculture, MDPI, vol. 12(2), pages 1-15, February.
    2. Zhang, Yuhao & Hou, Renjie & Fu, Qiang & Li, Tianxiao & Li, Mo & Cui, Song & Dong, Wencai, 2023. "Drip irrigation impacts on the root zone soil environment and enrichment characteristics of heavy metals in soybean," Agricultural Water Management, Elsevier, vol. 288(C).
    3. Chen, Weijie & Bastida, Felipe & Liu, Yanzheng & Zhou, Yunpeng & He, Jing & Song, Peng & Kuang, Naikun & Li, Yunkai, 2023. "Nanobubble oxygenated increases crop production via soil structure improvement: The perspective of microbially mediated effects," Agricultural Water Management, Elsevier, vol. 282(C).

    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. Yang, Danni & Li, Sien & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Mao, Xiaomin & Tong, Ling & Hao, Xinmei & Ding, Risheng & Niu, Jun, 2020. "Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China," Agricultural Water Management, Elsevier, vol. 232(C).
    2. Giuliani, Nicola & Aguzzoni, Agnese & Penna, Daniele & Tagliavini, Massimo, 2023. "Estimating uptake and internal transport dynamics of irrigation water in apple trees using deuterium-enriched water," Agricultural Water Management, Elsevier, vol. 289(C).
    3. Zhang, Tibin & Zou, Yufeng & Kisekka, Isaya & Biswas, Asim & Cai, Huanjie, 2021. "Comparison of different irrigation methods to synergistically improve maize’s yield, water productivity and economic benefits in an arid irrigation area," Agricultural Water Management, Elsevier, vol. 243(C).
    4. 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).
    5. Kilic, Murat, 2020. "A new analytical method for estimating the 3D volumetric wetting pattern under drip irrigation system," Agricultural Water Management, Elsevier, vol. 228(C).
    6. Wang, Yahui & Li, Sien & Qin, Shujing & Guo, Hui & Yang, Danni & Lam, Hon-Ming, 2020. "How can drip irrigation save water and reduce evapotranspiration compared to border irrigation in arid regions in northwest China," Agricultural Water Management, Elsevier, vol. 239(C).
    7. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng & Wang, Yahui & Guo, Hui, 2019. "Transpiration of female and male parents of seed maize in northwest China," Agricultural Water Management, Elsevier, vol. 213(C), pages 397-409.
    8. Wang, Tianyu & Wang, Zhenhua & Guo, Li & Zhang, Jinzhu & Li, Wenhao & He, Huaijie & Zong, Rui & Wang, Dongwang & Jia, Zhecheng & Wen, Yue, 2021. "Experiences and challenges of agricultural development in an artificial oasis: A review," Agricultural Systems, Elsevier, vol. 193(C).
    9. Fabio V. Difonzo & Costantino Masciopinto & Michele Vurro & Marco Berardi, 2021. "Shooting the Numerical Solution of Moisture Flow Equation with Root Water Uptake Models: A Python Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2553-2567, June.
    10. Shu, Liang-Zuo & Liu, Rui & Min, Wei & Wang, Yao-sheng & Hong-mei, Yu & Zhu, Peng-fei & Zhu, Ji-rong, 2020. "Regulation of soil water threshold on tomato plant growth and fruit quality under alternate partial root-zone drip irrigation," Agricultural Water Management, Elsevier, vol. 238(C).
    11. Guoqiang Zhang & Bo Ming & Dongping Shen & Ruizhi Xie & Peng Hou & Jun Xue & Keru Wang & Shaokun Li, 2021. "Optimizing Grain Yield and Water Use Efficiency Based on the Relationship between Leaf Area Index and Evapotranspiration," Agriculture, MDPI, vol. 11(4), pages 1-14, April.
    12. Wu, You & Si, Wei & Yan, Shicheng & Wu, Lifeng & Zhao, Wenju & Zhang, Jiale & Zhang, Fucang & Fan, Junliang, 2023. "Water consumption, soil nitrate-nitrogen residue and fruit yield of drip-irrigated greenhouse tomato under various irrigation levels and fertilization practices," Agricultural Water Management, Elsevier, vol. 277(C).
    13. Xian Liu & Yueyue Xu & Shikun Sun & Xining Zhao & Yubao Wang, 2022. "Analysis of the Coupling Characteristics of Water Resources and Food Security: The Case of Northwest China," Agriculture, MDPI, vol. 12(8), pages 1-19, July.
    14. Liu, Xuezhi & Manevski, Kiril & Liu, Fulai & Andersen, Mathias Neumann, 2022. "Biomass accumulation and water use efficiency of faba bean-ryegrass intercropping system on sandy soil amended with biochar under reduced irrigation regimes," Agricultural Water Management, Elsevier, vol. 273(C).
    15. Muhammad Umair & Tabassum Hussain & Hanbing Jiang & Ayesha Ahmad & Jiawei Yao & Yongqing Qi & Yucui Zhang & Leilei Min & Yanjun Shen, 2019. "Water-Saving Potential of Subsurface Drip Irrigation For Winter Wheat," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    16. Domínguez-Niño, Jesús María & Oliver-Manera, Jordi & Girona, Joan & Casadesús, Jaume, 2020. "Differential irrigation scheduling by an automated algorithm of water balance tuned by capacitance-type soil moisture sensors," Agricultural Water Management, Elsevier, vol. 228(C).
    17. He, Qinsi & Li, Sien & Kang, Shaozhong & Yang, Hanbo & Qin, Shujing, 2018. "Simulation of water balance in a maize field under film-mulching drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 252-260.
    18. Liao, Renkuan & Wu, Wenyong & Hu, Yaqi & Xu, Di & Huang, Qiannan & Wang, Shiyu, 2019. "Micro-irrigation strategies to improve water-use efficiency of cherry trees in Northern China," Agricultural Water Management, Elsevier, vol. 221(C), pages 388-396.
    19. Can Hu & Zhengxin Xu & Xufeng Wang & Long Wang & Jianfei Xing & Wensong Guo, 2022. "Experimental Study on Optimal Recycling Mechanical Parameters of Cotton Field Mulch film based on Small Soil Trough System," Agriculture, MDPI, vol. 12(7), pages 1-15, July.
    20. Li, Wenjia & Gao, Yanming & Tian, Yongqiang & Li, Jianshe, 2022. "Double-root-grafting enhances irrigation water efficiency and reduces the adverse effects of saline water on tomato yields under alternate partial root-zone irrigation," Agricultural Water Management, Elsevier, vol. 264(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:260:y:2022:i:c:s0378377421004650. 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.