IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v301y2024ics0378377424002865.html
   My bibliography  Save this article

Interaction between burial depth and N source in drip-fertigated maize: Agronomic performance and correlation with spectral indices

Author

Listed:
  • Monistrol, Alba
  • Vallejo, Antonio
  • García-Gutiérrez, Sandra
  • Hermoso-Peralo, Roberto
  • Montoya, Mónica
  • Atencia-Payares, Luz K.
  • Aguilera, Eduardo
  • Guardia, Guillermo

Abstract

Increasing drought severity and evaporative demand in Mediterranean areas makes it necessary to implement irrigation systems with high water and nutrient supply efficiency. The combined management of drip irrigation burial depth and different nitrogen (N) sources, thus far unexplored, predicting these effects using proximal and spectral vegetation indices. A 2-year field experiment was conducted comparing maize yield and N uptake from four N fertilization treatments: ammonium sulfate (AS), AS with the nitrification inhibitor DMPP (AS+INH), calcium nitrate (CN) and a control without N fertilization combined with surface or subsurface (30 cm depth) drip fertigation. Multispectral data were collected to calculate various vegetation indices, while the chlorophyll content was measured with a soil plant analysis development (SPAD) sensor in the second year. Subsurface drip and AS+INH increased maize grain yields compared to surface drip and AS-only (by 12 % and 18 %, respectively, P < 0.05). However, this was observed only in the second season, as were increases in grain N content. The results show that the use of CN performed better in surface drip, while the use of NH4+-N-based fertilizers were recommended for subsurface irrigation. Regarding the spectral data, at the flowering-milky kernel and dent kernel phenological stages Normalized Difference Red Edge (NDRE) and the canopy chlorophyll content index (CCCI) were the two vegetation indices that best estimated agronomical parameters and were able to discriminate the phenological differences between irrigation systems. This study highlights the potential for (i) predicting yield and N uptake using proximal and multispectral sensors in drip-fertigated maize and (ii) optimizing crop performance by combining drip burial depth and N source (DMPP combined with subsurface irrigation), with relevant implications for climate change adaptation (i.e., potential improvements in crop phenology and water saving).

Suggested Citation

  • Monistrol, Alba & Vallejo, Antonio & García-Gutiérrez, Sandra & Hermoso-Peralo, Roberto & Montoya, Mónica & Atencia-Payares, Luz K. & Aguilera, Eduardo & Guardia, Guillermo, 2024. "Interaction between burial depth and N source in drip-fertigated maize: Agronomic performance and correlation with spectral indices," Agricultural Water Management, Elsevier, vol. 301(C).
  • Handle: RePEc:eee:agiwat:v:301:y:2024:i:c:s0378377424002865
    DOI: 10.1016/j.agwat.2024.108951
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424002865
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2024.108951?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.

    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:301:y:2024:i:c:s0378377424002865. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.