IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v210y2018icp158-164.html
   My bibliography  Save this article

Crop yield and water use efficiency under aerated irrigation: A meta-analysis

Author

Listed:
  • Du, Ya-Dan
  • Niu, Wen-Quan
  • Gu, Xiao-Bo
  • Zhang, Qian
  • Cui, Bing-Jing
  • Zhao, Ying

Abstract

Aerated irrigation (AI) is well recognized to improve yield and water use efficiency (WUE) by improving the soil root zone environment and increasing crop water and fertilizer absorption. However, the effects of AI on crop yield and WUE are variable. We conducted a meta-analysis to: 1) quantify the effect of AI on crop yield and WUE; and 2) identify soil factors and management practices that favor increased yield and WUE under AI relative to control. Results showed that AI is benefit to increase crop yields and WUE (grand mean increases of 19.3% and 17.9%, respectively). However, its effectiveness depends on the environmental and managerial factors of the studies evaluated. Larger responses were found in medium-textured soils, acidic soils (pH < 7), and/or crops receiving high levels of irrigation. At a drip tape placement depth of 10–20 cm and AI frequency of more than once every three days, Venturi aerated equipment produced the largest effect size. Our findings highlight the potential of AI to increase yield and WUE, and identify the conditions under which these results can be achieved. AI techniques can be used successfully around the world, and have the advantages of low cost and easy operation.

Suggested Citation

  • Du, Ya-Dan & Niu, Wen-Quan & Gu, Xiao-Bo & Zhang, Qian & Cui, Bing-Jing & Zhao, Ying, 2018. "Crop yield and water use efficiency under aerated irrigation: A meta-analysis," Agricultural Water Management, Elsevier, vol. 210(C), pages 158-164.
    • Handle: RePEc:eee:agiwat:v:210:y:2018:i:c:p:158-164
    DOI: 10.1016/j.agwat.2018.07.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418311302
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2018.07.038?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. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. Ityel, Eviatar & Ben-Gal, Alon & Silberbush, Moshe & Lazarovitch, Naftali, 2014. "Increased root zone oxygen by a capillary barrier is beneficial to bell pepper irrigated with brackish water in an arid region," Agricultural Water Management, Elsevier, vol. 131(C), pages 108-114.
    3. Bonachela, S. & Quesada, J. & Acuña, R.A. & Magán, J.J. & Marfà, O., 2010. "Oxyfertigation of a greenhouse tomato crop grown on rockwool slabs and irrigated with treated wastewater: Oxygen content dynamics and crop response," Agricultural Water Management, Elsevier, vol. 97(3), pages 433-438, March.
    4. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta‐Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, July.
    5. V. Kerry Smith & Yoshiaki Kaoru, 1990. "Signals or Noise? Explaining the Variation in Recreation Benefit Estimates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 419-433.
    6. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    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. Yu, Liuyang & Zhao, Xining & Gao, Xiaodong & Siddique, Kadambot H.M., 2020. "Improving/maintaining water-use efficiency and yield of wheat by deficit irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 228(C).
    2. Yu, Liuyang & Gao, Xiaodong & Zhao, Xining, 2020. "Global synthesis of the impact of droughts on crops’ water-use efficiency (WUE): Towards both high WUE and productivity," Agricultural Systems, Elsevier, vol. 177(C).
    3. He, Zhihao & Gong, Kaiyuan & Zhang, Zhiliang & Dong, Wenbiao & Feng, Hao & Yu, Qiang & He, Jianqiang, 2022. "What is the past, present, and future of scientific research on the Yellow River Basin? —A bibliometric analysis," Agricultural Water Management, Elsevier, vol. 262(C).
    4. Zhenzhen Yu & Chun Wang & Huafen Zou & Hongxuan Wang & Hailiang Li & Haitian Sun & Deshui Yu, 2022. "The Effects of Aerated Irrigation on Soil Respiration and the Yield of the Maize Root Zone," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    5. René Rietra & Marius Heinen & Oene Oenema, 2022. "A Review of Crop Husbandry and Soil Management Practices Using Meta-Analysis Studies: Towards Soil-Improving Cropping Systems," Land, MDPI, vol. 11(2), pages 1-31, February.
    6. Zhang, Shaohui & Wang, Haidong & Sun, Xin & Fan, Junliang & Zhang, Fucang & Zheng, Jing & Li, Yuepeng, 2021. "Effects of farming practices on yield and crop water productivity of wheat, maize and potato in China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 243(C).
    7. Aijun Guo & Daiwei Jiang & Fanglei Zhong & Xiaojiang Ding & Xiaoyu Song & Qingping Cheng & Yongnian Zhang & Chunlin Huang, 2019. "Prediction of Technological Change under Shared Socioeconomic Pathways and Regional Differences: A Case Study of Irrigation Water Use Efficiency Changes in Chinese Provinces," Sustainability, MDPI, vol. 11(24), pages 1-19, December.
    8. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Wang, Xiukang & Sun, Xin & Yang, Ling & Zhang, Shaohui & Xiang, Youzhen & Zhang, Fucang, 2021. "Crop yield and water productivity under salty water irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 256(C).
    9. Wang, Cheng & Bai, Dan & Li, Yibo & Yao, Baolin & Feng, Yaqin, 2021. "The comparison of different irrigation methods on yield and water use efficiency of the jujube," Agricultural Water Management, Elsevier, vol. 252(C).
    10. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Zhang, Shaohui & Wang, Yanli & Li, Yuepeng & Sun, Xin & Yang, Ling & Zhang, Fucang, 2021. "Water productivity and seed cotton yield in response to deficit irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 255(C).
    11. Wen, Shenglin & Cui, Ningbo & Gong, Daozhi & Liu, Chunwei & Xing, Liwen & Wu, Zongjun & Wang, Zhihui & Wang, Jiaxin, 2023. "A global meta-analysis of yield and water productivity of woody, herbaceous and vine fruits under deficit irrigation," Agricultural Water Management, Elsevier, vol. 287(C).
    12. Yan Zhu & Huanjie Cai & Libing Song & Xiaowen Wang & Zihui Shang & Yanan Sun, 2020. "Aerated Irrigation of Different Irrigation Levels and Subsurface Dripper Depths Affects Fruit Yield, Quality and Water Use Efficiency of Greenhouse Tomato," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    13. Wang, Zhiyu & Shao, Guangcheng & Lu, Jia & Zhang, Kun & Gao, Yang & Ding, Jihui, 2020. "Effects of controlled drainage on crop yield, drainage water quantity and quality: A meta-analysis," Agricultural Water Management, Elsevier, vol. 239(C).
    14. Yi-Xuan Lu & Si-Ting Wang & Guan-Xin Yao & Jing Xu, 2023. "Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices," Agriculture, MDPI, vol. 13(10), pages 1-25, October.
    15. Zhou, Qing & Zhang, Yali & Wu, Feng, 2021. "Evaluation of the most proper management scale on water use efficiency and water productivity: A case study of the Heihe River Basin, China," Agricultural Water Management, Elsevier, vol. 246(C).
    16. Zhou, Yunpeng & Zhou, Bo & Xu, Feipeng & Muhammad, Tahir & Li, Yunkai, 2019. "Appropriate dissolved oxygen concentration and application stage of micro-nano bubble water oxygation in greenhouse crop plantation," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    17. Ouyang, Zan & Tian, Juncang & Yan, Xinfang & Shen, Hui, 2020. "Effects of different concentrations of dissolved oxygen or temperatures on the growth, photosynthesis, yield and quality of lettuce," Agricultural Water Management, Elsevier, vol. 228(C).
    18. Hui Chen & Zi-Hui Shang & Huan-Jie Cai & Yan Zhu, 2019. "An Optimum Irrigation Schedule with Aeration for Greenhouse Tomato Cultivations Based on Entropy Evaluation Method," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    19. Wang, Haidong & Wang, Naijiang & Quan, Hao & Zhang, Fucang & Fan, Junliang & Feng, Hao & Cheng, Minghui & Liao, Zhenqi & Wang, Xiukang & Xiang, Youzhen, 2022. "Yield and water productivity of crops, vegetables and fruits under subsurface drip irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 269(C).
    20. Yatao Xiao & Chaoxiang Sun & Dezhe Wang & Huiqin Li & Wei Guo, 2023. "Analysis of Hotspots in Subsurface Drip Irrigation Research Using CiteSpace," Agriculture, MDPI, vol. 13(7), pages 1-18, July.
    21. Huanhuan Zhang & Jinshan Xi & Qi Lv & Junwu Wang & Kun Yu & Fengyun Zhao, 2022. "Effect of Aerated Irrigation on the Growth and Rhizosphere Soil Fungal Community Structure of Greenhouse Grape Seedlings," Sustainability, MDPI, vol. 14(19), pages 1-16, October.

    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. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    2. Soon, Jan-Jan & Ahmad, Siti-Aznor, 2015. "Willingly or grudgingly? A meta-analysis on the willingness-to-pay for renewable energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 877-887.
    3. Fabio Menten & Benoît Chèze & Laure Patouillard & Frédérique Bouvart, 2013. "The use of Meta-Regression Analysis to harmonize LCA literature: an application to GHG emissions of 2nd and 3rd generation biofuels," Working Papers 2013/01, INRA, Economie Publique.
    4. Menten, Fabio & Chèze, Benoît & Patouillard, Laure & Bouvart, Frédérique, 2013. "A review of LCA greenhouse gas emissions results for advanced biofuels: The use of meta-regression analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 108-134.
    5. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2018. "Determining water use efficiency of wheat and cotton: A meta-regression analysis," Agricultural Water Management, Elsevier, vol. 199(C), pages 48-60.
    6. Lindhjem, Henrik, 2007. "20 years of stated preference valuation of non-timber benefits from Fennoscandian forests: A meta-analysis," Journal of Forest Economics, Elsevier, vol. 12(4), pages 251-277, February.
    7. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    8. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2016. "Determining water use efficiency for wheat and cotton: A meta-regression analysis," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236059, Agricultural and Applied Economics Association.
    9. Ryan Yeung & Phuong Nguyen-Hoang, 2016. "Endogenous peer effects: Fact or fiction?," The Journal of Educational Research, Taylor & Francis Journals, vol. 109(1), pages 37-49, January.
    10. Maria Abreu & Henri L. F. de Groot & Raymond J. G. M. Florax, 2005. "A Meta‐Analysis of β‐Convergence: the Legendary 2%," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 389-420, July.
    11. Minasyan, Anna & Zenker, Juliane & Klasen, Stephan & Vollmer, Sebastian, 2019. "Educational gender gaps and economic growth: A systematic review and meta-regression analysis," World Development, Elsevier, vol. 122(C), pages 199-217.
    12. Fidrmuc, Jarko & Lind, Ronja, 2020. "Macroeconomic impact of Basel III: Evidence from a meta-analysis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    13. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).
    14. Ben-Noah, I. & Friedman, S.P., 2016. "Aeration of clayey soils by injecting air through subsurface drippers: Lysimetric and field experiments," Agricultural Water Management, Elsevier, vol. 176(C), pages 222-233.
    15. Melo, Patricia C. & Graham, Daniel J. & Noland, Robert B., 2009. "A meta-analysis of estimates of urban agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 332-342, May.
    16. Klomp, Jeroen, 2023. "Political budget cycles in military expenditures: A meta-analysis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1083-1102.
    17. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests as a Screen in the Publication Process: Throwing out the Wheat with the Chaff," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    18. Francisco Javier Blanco-Encomienda & Rocío García-Cantero & María José Latorre-Medina, 2020. "Association between Work-Related Rumination, Work Environment and Employee Well-Being: A Meta-Analytic Study of Main and Moderator Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 887-910, August.
    19. Sebastian Gechert, 2015. "What fiscal policy is most effective? A meta-regression analysis," Oxford Economic Papers, Oxford University Press, vol. 67(3), pages 553-580.
    20. Neves, Pedro Cunha & Afonso, Oscar & Silva, Diana & Sochirca, Elena, 2021. "The link between intellectual property rights, innovation, and growth: A meta-analysis," Economic Modelling, Elsevier, vol. 97(C), pages 196-209.

    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:210:y:2018:i:c:p:158-164. 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.