IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i7p937-d850695.html
   My bibliography  Save this article

Effects of Water-Saving Irrigation on Direct-Seeding Rice Yield and Greenhouse Gas Emissions in North China

Author

Listed:
  • Xiaoning Hang

    (Chongqing Academy of Agricultural Sciences, Chongqing 401329, China
    Agriculture and Rural Sub-Center of Chongqing Ecological Environment Monitoring Center, Chongqing 401329, China)

  • Frederick Danso

    (Key Laboratory of Crop Physiology & Ecology, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Jia Luo

    (Chongqing Academy of Agricultural Sciences, Chongqing 401329, China)

  • Dunxiu Liao

    (Chongqing Academy of Agricultural Sciences, Chongqing 401329, China
    Agriculture and Rural Sub-Center of Chongqing Ecological Environment Monitoring Center, Chongqing 401329, China)

  • Jian Zhang

    (Chongqing Academy of Agricultural Sciences, Chongqing 401329, China
    Agriculture and Rural Sub-Center of Chongqing Ecological Environment Monitoring Center, Chongqing 401329, China)

  • Jun Zhang

    (Key Laboratory of Crop Physiology & Ecology, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

Rice cultivation consumes more than half of the planet’s 70% freshwater supply used in agricultural production. Competing water uses and climate change globally are putting more pressure on the limited water resources. Therefore, water-saving irrigation (WSI) is recommended for rice production in water scares areas. The impact of WSI techniques on direct-seeding rice production and greenhouse gas emissions in North China is becoming increasingly important in the era of climate change. Therefore, we conducted a two-year field experiment on directly seeded rice to assess the impact of traditional flooding irrigation (CK) and three water saving irrigation (WSI) methods, including drip irrigation with an irrigation amount of 50 mm (DI 1 ) and 35 mm (DI 2 ) at each watering time and furrow wetting irrigation (FWI), on rice yield and greenhouse emissions. Generally, the WSI techniques decreased the number of rice panicles per m −2 , spikelet per panicle, 1000-grain weight and rice yield compared to CK. Rice yield and yield components of (DI 1 ) were significantly higher than (DI 2 ). The adoption of either (DI 1 ) or (FWI) showed insignificant variation in terms of rice yield and its yield components measured except for 1000-grain weight. The water productivity was 88.9, 16.4 and 11.4% higher in the FWI plot than the CK, DI 1 and DI 2 plots, respectively. The WSI decreased cumulative CH 4 emission significantly by 73.0, 84.7 and 64.4% in DI 1 , DI 2 and FWI, respectively, in comparison with CK. The usage of DI 2 triggered 1.4 and 2.0-fold more cumulative N 2 O emission compared to DI 1 and FWI, respectively. Area-scaled emission among the water-saving irrigation methods showed no significance. The yield-scaled emission in DI 1 and DI 2 and FWI were 101, 67.5 and 102%, respectively, significantly lower than CK. The adoption of FWI produced an acceptable rice yield with the lowest yield-scaled emission and highest water productivity among the irrigation practices. Our experiment demonstrates that dry direct-seeding with furrow irrigation can impact triple-wins of sustainable rice yield, high water-use efficiency and low GHG emissions in North China.

Suggested Citation

  • Xiaoning Hang & Frederick Danso & Jia Luo & Dunxiu Liao & Jian Zhang & Jun Zhang, 2022. "Effects of Water-Saving Irrigation on Direct-Seeding Rice Yield and Greenhouse Gas Emissions in North China," Agriculture, MDPI, vol. 12(7), pages 1-11, June.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:937-:d:850695
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/7/937/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/7/937/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kadiyala, M.D.M. & Jones, J.W. & Mylavarapu, R.S. & Li, Y.C. & Reddy, M.D., 2015. "Identifying irrigation and nitrogen best management practices for aerobic rice–maize cropping system for semi-arid tropics using CERES-rice and maize models," Agricultural Water Management, Elsevier, vol. 149(C), pages 23-32.
    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. Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
    2. Fan, Yubing & McCann, Laura M., 2017. "Farmers’ Adoption of Pressure Irrigation Systems and Scientific Scheduling Practices: An Application of Multilevel Models," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258458, Agricultural and Applied Economics Association.
    3. Malik, Wafa & Dechmi, Farida, 2019. "DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 216(C), pages 27-43.
    4. Ennan Zheng & Mengting Qin & Peng Chen & Tianyu Xu & Zhongxue Zhang, 2022. "Climate Change Affects the Utilization of Light and Heat Resources in Paddy Field on the Songnen Plain, China," Agriculture, MDPI, vol. 12(10), pages 1-19, October.
    5. Mohamadzade, Fahime & Gheysari, Mahdi & Eshghizadeh, Hamidreza & Tabatabaei, Mahsa Sadat & Hoogenboom, Gerrit, 2022. "The effect of water and nitrogen on drip tape irrigated silage maize grown under arid conditions: Experimental and simulations," Agricultural Water Management, Elsevier, vol. 271(C).
    6. Amiri, E. & Irmak, S. & Araji, H. Ahmadzadeh, 2022. "Assessment of CERES-Maize model in simulating maize growth, yield and soil water content under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 259(C).
    7. Yahui Guo & Wenxiang Wu & Mingzhu Du & Christopher Robin Bryant & Yong Li & Yuyi Wang & Han Huang, 2019. "Assessing Potential Climate Change Impacts and Adaptive Measures on Rice Yields: The Case of Zhejiang Province in China," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    8. Malik, Wafa & Isla, Ramon & Dechmi, Farida, 2019. "DSSAT-CERES-maize modelling to improve irrigation and nitrogen management practices under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 213(C), pages 298-308.

    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:gam:jagris:v:12:y:2022:i:7:p:937-:d:850695. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.