IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i23p6757-d292019.html
   My bibliography  Save this article

Effect of Moistube Fertigation on Infiltration and Distribution of Water-Fertilizer in Mixing Waste Biomass Soil

Author

Listed:
  • Guangzhao Sun

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Yilin Li

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Xiaogang Liu

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Ningbo Cui

    (State Key Laboratory of Hydraulics and Mountain River Engineering and College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China)

  • Yanli Gao

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

  • Qiliang Yang

    (Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China)

Abstract

A series of indoor soil box simulation experiments were carried out to investigate the infiltration capacity of fertilizer solution in mixing waste biomass and the distribution characteristics of water-fertilizer in wetted soil under moistube fertigation. The infiltration rate and cumulative infiltration of moistube fertigation in soils as well as the distribution characteristics of water-fertilizer (soil water, nitrate–N, available P, and available K) in wetted soil were studied in three waste biomass (peanut shell) mixing ratios (MR1.5%, MR3.0%, and MR4.5%) taking a not amended soil as control (CK). The cumulative infiltration of fertilizer solution and the distribution of water-fertilizer were fitted by a modified infiltration model. Results indicated that increasing the mixing ratio improved significantly the infiltration rate and cumulative infiltration of fertilizer solution and the distribution area and content of water-fertilizer in amended wetting soil compared with CK. The relationship between the cumulative infiltration of fertilizer solution and infiltration time conformed to the Kostiakov infiltration model. The distribution uniformity coefficient of soil water and nitrate–N increased with the increase in waste biomass mixing ratio, whereas available P and available K decreased in wetted soil. The 4-parameter log-logistic model fitted well with the distribution of water-fertilizer in mixing waste biomass wetted soil under moistube fertigation. The research results could provide a theoretical basis and practical reference for the popularization and application of new moistube fertigation technology.

Suggested Citation

  • Guangzhao Sun & Yilin Li & Xiaogang Liu & Ningbo Cui & Yanli Gao & Qiliang Yang, 2019. "Effect of Moistube Fertigation on Infiltration and Distribution of Water-Fertilizer in Mixing Waste Biomass Soil," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6757-:d:292019
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/23/6757/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/23/6757/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bewley, Ronald & Fiebig, Denzil G., 1988. "A flexible logistic growth model with applications in telecommunications," International Journal of Forecasting, Elsevier, vol. 4(2), pages 177-192.
    2. Kumar, Mukesh & Rajput, T.B.S. & Kumar, Rohitashw & Patel, Neelam, 2016. "Water and nitrate dynamics in baby corn (Zea mays L.) under different fertigation frequencies and operating pressures in semi-arid region of India," Agricultural Water Management, Elsevier, vol. 163(C), pages 263-274.
    3. Sun, Qing & Wang, Yaosheng & Chen, Geng & Yang, Hui & Du, Taisheng, 2018. "Water use efficiency was improved at leaf and yield levels of tomato plants by continuous irrigation using semipermeable membrane," Agricultural Water Management, Elsevier, vol. 203(C), pages 430-437.
    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. Xiaowei Guo & Licong Dai & Qian Li & Dawen Qian & Guangmin Cao & Huakun Zhou & Yangong Du, 2020. "Light Grazing Significantly Reduces Soil Water Storage in Alpine Grasslands on the Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 12(6), pages 1-12, March.
    2. Qi, Wei & Zhang, Zhanyu & Wang, Ce & Huang, Mingyi, 2021. "Prediction of infiltration behaviors and evaluation of irrigation efficiency in clay loam soil under Moistube® irrigation," Agricultural Water Management, Elsevier, vol. 248(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. Yuri Peers & Dennis Fok & Philip Hans Franses, 2012. "Modeling Seasonality in New Product Diffusion," Marketing Science, INFORMS, vol. 31(2), pages 351-364, March.
    2. Nigel Meade & Towhidul Islam, 1998. "Technological Forecasting---Model Selection, Model Stability, and Combining Models," Management Science, INFORMS, vol. 44(8), pages 1115-1130, August.
    3. Joost M. E. Pennings & Ale Smidts, 2003. "The Shape of Utility Functions and Organizational Behavior," Management Science, INFORMS, vol. 49(9), pages 1251-1263, September.
    4. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    5. Gardebroek, Cornelis, 2008. "Evaluating Different Growth Scenarios for Organic Farming Using Bayesian Techniques," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44211, European Association of Agricultural Economists.
    6. Qi, Wei & Zhang, Zhanyu & Wang, Ce & Huang, Mingyi, 2021. "Prediction of infiltration behaviors and evaluation of irrigation efficiency in clay loam soil under Moistube® irrigation," Agricultural Water Management, Elsevier, vol. 248(C).
    7. He, Yuelin & Xi, Benye & Li, Guangde & Wang, Ye & Jia, Liming & Zhao, Dehai, 2021. "Influence of drip irrigation, nitrogen fertigation, and precipitation on soil water and nitrogen distribution, tree seasonal growth and nitrogen uptake in young triploid poplar (Populus tomentosa) pla," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Wang, Ce & Ye, Jinyang & Zhai, Yaming & Kurexi, Wuerkaixi & Xing, Dong & Feng, Genxiang & Zhang, Qun & Zhang, Zhanyu, 2023. "Dynamics of Moistube discharge, soil-water redistribution and wetting morphology in response to regulated working pressure heads," Agricultural Water Management, Elsevier, vol. 282(C).
    9. Meade, Nigel & Islam, Towhidul, 1995. "Forecasting with growth curves: An empirical comparison," International Journal of Forecasting, Elsevier, vol. 11(2), pages 199-215, June.
    10. Zhang, X.L. & van Groenendaal, W.J.H., 2001. "The Role of Institutional Support in Energy Technology Diffusion in Rural China," Discussion Paper 2001-6, Tilburg University, Center for Economic Research.
    11. Marinakis, Yorgos D., 2012. "Forecasting technology diffusion with the Richards model," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 172-179.
    12. Azad, Nasrin & Behmanesh, Javad & Rezaverdinejad, Vahid & Abbasi, Fariborz & Navabian, Maryam, 2018. "Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements," Agricultural Water Management, Elsevier, vol. 208(C), pages 344-356.
    13. Li, Bo & Wim, Voogt & Shukla, Manoj Kumar & Du, Taisheng, 2021. "Drip irrigation provides a trade-off between yield and nutritional quality of tomato in the solar greenhouse," Agricultural Water Management, Elsevier, vol. 249(C).
    14. Singh, Sanjay Kumar, 2006. "Future mobility in India: Implications for energy demand and CO2 emission," Transport Policy, Elsevier, vol. 13(5), pages 398-412, September.
    15. Lund, P.D., 2010. "Exploring past energy changes and their implications for the pace of penetration of new energy technologies," Energy, Elsevier, vol. 35(2), pages 647-656.
    16. Michalakelis, C. & Sphicopoulos, T., 2012. "A population dependent diffusion model with a stochastic extension," International Journal of Forecasting, Elsevier, vol. 28(3), pages 587-606.
    17. Xin Zhang & Jianheng Zhang & Jiaxin Xue & Guiyan Wang, 2023. "Improving Wheat Yield and Water-Use Efficiency by Optimizing Irrigations in Northern China," Sustainability, MDPI, vol. 15(13), pages 1-16, July.
    18. Yang, Xin & Bornø, Marie Louise & Wei, Zhenhua & Liu, Fulai, 2021. "Combined effect of partial root drying and elevated atmospheric CO2 on the physiology and fruit quality of two genotypes of tomato plants with contrasting endogenous ABA levels," Agricultural Water Management, Elsevier, vol. 254(C).
    19. Sigua, G.C. & Stone, K.C. & Bauer, P.J. & Szogi, A.A. & Shumaker, P.D., 2017. "Impacts of irrigation scheduling on pore water nitrate and phosphate in coastal plain region of the United States," Agricultural Water Management, Elsevier, vol. 186(C), pages 75-85.
    20. Chen, Lu & Luo, Yong & Tang, Jialiang & Zhang, Xifeng & Liu, Haowen & Cui, Junfang & Zheng, Jing & Dong, Xiaoming, 2024. "Determination of optimum solum thickness of sloping cropland for maize plantation in an Entisol based on water use strategy and plant traits," Agricultural Water Management, Elsevier, vol. 299(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:11:y:2019:i:23:p:6757-:d:292019. 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.