IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v310y2025ics0378377425000940.html
   My bibliography  Save this article

Water footprint and water productivity analysis of an alternative organic mulching technology for irrigated agriculture

Author

Listed:
  • Pacetti, Tommaso
  • Renzi, Niccolò
  • Lompi, Marco
  • Setti, Andrea
  • Spinelli, Daniele
  • Castelli, Giulio
  • Bresci, Elena
  • Caporali, Enrica

Abstract

Agriculture is causing unprecedented pressure on water resources to meet a growing food demand. This determines the necessity of implementing innovative, sustainable, and measurable systems to decrease water consumption while increasing crop yield. This study analyses the performances of biodegradable mulching (OM) felt for irrigated lettuce, integrating water footprint (WF) and water productivity (WP) assessment. Different types of OM were tested in two farms in the peri-urban area of Florence city (Tuscany, Central Italy) during the cropping seasons 2021 and 2022. Water Productivity has been evaluated using direct measurements, while the WF has been calculated according to ISO 14046. Moreover, the AquaCrop model by FAO has been used to simulate potential optimal irrigation conditions in the two farms. Results show that OM determined smaller water requirements for all the different field configurations and irrigation efficiencies simulated with a reduction ranging between 8 % and 95 %. The results allow to evaluate the relative weight of OM on the overall water consumption of the two farms and provide useful insights on the sustainability of the lettuce production chain helping farmers to identify water-related hotspots.

Suggested Citation

  • Pacetti, Tommaso & Renzi, Niccolò & Lompi, Marco & Setti, Andrea & Spinelli, Daniele & Castelli, Giulio & Bresci, Elena & Caporali, Enrica, 2025. "Water footprint and water productivity analysis of an alternative organic mulching technology for irrigated agriculture," Agricultural Water Management, Elsevier, vol. 310(C).
  • Handle: RePEc:eee:agiwat:v:310:y:2025:i:c:s0378377425000940
    DOI: 10.1016/j.agwat.2025.109380
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377425000940
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2025.109380?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:310:y:2025:i:c:s0378377425000940. 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.