IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v307y2025ics0378377424005560.html
   My bibliography  Save this article

Deficit irrigation enhances yield and water productivity of apples by inhibiting excessive vegetative growth and improving photosynthetic performance

Author

Listed:
  • Wen, Shenglin
  • Cui, Ningbo
  • Wang, Yaosheng
  • Gong, Daozhi
  • Xing, Liwen
  • Wu, Zongjun
  • Zhang, Yixuan
  • Wang, Zhihui

Abstract

Excessive irrigation in orchards can lead to wastage of water resources and instability or reduction in fruit yield. Therefore, this study aims to comprehensively explore the relationships among growth indicators, photosynthetic parameters, apple yield, and water productivity (WP) based on structural equation modeling (SEMD), and develop the appropriate irrigation management strategy for sustainable apple production. A two-year apple irrigation management experiment was carried out with 17 deficit drip irrigation (DDI) treatments, including a control treatment (CK, 100 % ETc) and 4 water deficit degree (W15 %, 85 % ETc; W30 %,70 % ETc; W45 %, 55 % ETc; W60 %, 40 % ETc) during four growth stages: bud burst to leafing stage (I), flowering to fruit set stage (II), fruit expansion stage (III), and fruit maturation stage (IV). Results indicated that transpiration rate (Tr) was more sensitive to water deficit than net photosynthesis rate (Pn), leading to greater instantaneous water use efficiency (WUEi). Compared to the CK, the W15 % DDI treatments at different growth stages slightly reduced Pn and significantly decreased Tr, thereby enhancing WUEi by 14.5 %-14.9 %. W15 % DDI treatments during the early growth stage restrained excessive growth while enhancing fruit development. SEMD analysis revealed that LAI had a significant positive effect on ET with a standardized path coefficient of 0.312 (P < 0.05) in 2021 and 0.498 (P < 0.001) in 2022, and fruit volume had a significant positive effect on ET with a standardized path coefficient of 1.03 (P < 0.001) in 2021 and 1.313 (P < 0.001) in 2022. The stomatal conductance (gs) was identified as the key factor influencing apple yield and WP using SEMD. The gs had an extremely significant positive effect on apple yield, with a standardized path coefficient of 0.356 in 2022 (P < 0.001). The indirect negative effect of leaf area index (LAI) on WP was mainly through its positive effect on water consumption (ET) and ET's subsequent negative effect on WP. Severe water deficits (W60 %) at stage III are inadvisable, as they may lead to apple yield losses exceeding 20 %. The I-W15 %, II-W15 %, II-W30 %, and IV-W15 % treatments synergistically improve both apple yield and WP, suggesting that these DDI treatments could be recommended for growers aiming to achieve sustainable apple production.

Suggested Citation

  • Wen, Shenglin & Cui, Ningbo & Wang, Yaosheng & Gong, Daozhi & Xing, Liwen & Wu, Zongjun & Zhang, Yixuan & Wang, Zhihui, 2025. "Deficit irrigation enhances yield and water productivity of apples by inhibiting excessive vegetative growth and improving photosynthetic performance," Agricultural Water Management, Elsevier, vol. 307(C).
  • Handle: RePEc:eee:agiwat:v:307:y:2025:i:c:s0378377424005560
    DOI: 10.1016/j.agwat.2024.109220
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424005560
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2024.109220?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:307:y:2025:i:c:s0378377424005560. 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.