Author
Listed:
- Zheng, Qiang
- Song, Peng
- Wang, Xin
- Sun, Bin
- Hou, Peng
Abstract
Efficient water–fertilizer management is essential for enhancing the productivity and sustainability of faba bean (Vicia faba L.), particularly in systems where conventional practices rely on excessive inputs and contribute to resource waste and non-point source pollution. This study compared three irrigation amounts (190, 163, and 136 mm) and two irrigation frequencies (12 and 24 events) under drip fertigation, alongside conventional surface irrigation (CK), to identify an optimized water-management strategy that improves yield, water use efficiency, and partial factor productivity of fertilizer (PFP). Drip fertigation markedly increased yield and PFP by optimizing root-zone water supply, enhancing nutrient availability, and promoting dry-matter accumulation. The DH (high-frequency and high-amount drip irrigation) treatment achieved the greatest improvements, with 80.8 %–85.4 % higher yield and 143.6 %–161.9 % greater PFP than CK. Yield was primarily driven by stem dry weight, stem diameter, and 100-grain weight, while PFP was influenced by stem traits and branch number. Among all treatments, the low irrigation amount combined with high irrigation frequency (136 mm, 24 irrigations) provided the most effective water strategy, delivering the highest integrated performance in productivity and resource efficiency. This optimized water strategy is recommended for regions experiencing seasonal water scarcity, offering a practical pathway to enhance yield while reducing resource inputs and environmental impacts. Future research should assess the long-term stability and broader applicability of this water strategy across different soil conditions, climates, and legume production systems.
Suggested Citation
Zheng, Qiang & Song, Peng & Wang, Xin & Sun, Bin & Hou, Peng, 2026.
"Irrigation management for sustainable intensification of faba bean production: Synergizing yield, soil health, and water use efficiency,"
Agricultural Water Management, Elsevier, vol. 325(C).
Handle:
RePEc:eee:agiwat:v:325:y:2026:i:c:s0378377426000892
DOI: 10.1016/j.agwat.2026.110208
Download full text from publisher
As the access to this document is restricted, you may want to
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:325:y:2026:i:c:s0378377426000892. 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.