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Functional roles of plant growth-promoting rhizobacteria in ungrafted and grafted watermelons under various deficit irrigation strategies

Author

Listed:
  • Yavuz, Nurcan
  • Seymen, Musa
  • Yavuz, Duran
  • Kal, Ünal
  • Kurtar, Ertan Sait
  • Kal, Songül
  • Gür, Ayşegül

Abstract

Drought is the central abiotic stressor limiting agricultural sustainability in arid and semi-arid regions. Plant growth-promoting rhizobacteria (PGPR) can play a key role in drought resistance in many vegetables including watermelon. This study examined the effects of two distinct PGPRs (Pseudarthrobacter polychromogenes and Paenarthrobacter aurescens) secreting 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase on yield, yield traits, fruit quality, and crop water stress index (CWSI) in watermelons of ungrafted and grafted (onto wild watermelon rootstock) under various deficit irrigation methods over the course of 2-year field trials in 2023 and 2024. This study results showed that increased water stress caused significant fruit yield loss. In both grafted and ungrafted plants, continuous severe water stress (CSWS) conditions led to yield loss of approximately 40 % by comparison to non-water stress (NWS). PGPRs produced varied results in grafted and ungrafted plants. Under CSWS, the wild watermelon rootstock interacted with rhizobacteria, particularly P. aurescens, increasing yield by up to 20 % compared to plants without PGPR. In grafted plants, P. aurescens increased irrigation water use efficiency (IWUE) by approximately 21 % under CSWS irrigation strategy. PGPRs were more effective under severe water stress than mild and moderate water stress, and they significantly protected watermelon from the damaging effects of water stress. PGPRs did not significantly affect the physical properties of watermelon fruits, including weight, width, length, rind thickness, and flesh color. However, they increased the soluble solids content in ungrafted plants and total phenolic compounds in grafted plants. Conversely, P. aurescens reduced the sucrose content in the fruit, resulting in a drop in the total sugar content of fruits produced in the presence of this bacterial species. The mean CWSI values of watermelon varied considerably under different deficit irrigation strategies, and increasing water stress caused CWSI values to rise. CWSI threshold were found higher in grafted plants (0.20) than in ungrafted plants (0). This study provides a theoretical basis for rootstock-PGPR synergistic regulation for efficient water-saving in cultivation of watermelon in water stressed environments.

Suggested Citation

  • Yavuz, Nurcan & Seymen, Musa & Yavuz, Duran & Kal, Ünal & Kurtar, Ertan Sait & Kal, Songül & Gür, Ayşegül, 2025. "Functional roles of plant growth-promoting rhizobacteria in ungrafted and grafted watermelons under various deficit irrigation strategies," Agricultural Water Management, Elsevier, vol. 318(C).
  • Handle: RePEc:eee:agiwat:v:318:y:2025:i:c:s0378377425004019
    DOI: 10.1016/j.agwat.2025.109687
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    References listed on IDEAS

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    1. Yavuz, Duran & Seymen, Musa & Yavuz, Nurcan & Çoklar, Hacer & Ercan, Muhammet, 2021. "Effects of water stress applied at various phenological stages on yield, quality, and water use efficiency of melon," Agricultural Water Management, Elsevier, vol. 246(C).
    2. Franciska T. Vries & Rob I. Griffiths & Mark Bailey & Hayley Craig & Mariangela Girlanda & Hyun Soon Gweon & Sara Hallin & Aurore Kaisermann & Aidan M. Keith & Marina Kretzschmar & Philippe Lemanceau , 2018. "Soil bacterial networks are less stable under drought than fungal networks," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    3. Admassie, Mesele & Woldehawariat, Yitbark & Alemu, Tesfaye & Gonzalez, Enrique & Jimenez, Juan Francisco, 2022. "The role of plant growth-promoting bacteria in alleviating drought stress on pepper plants," Agricultural Water Management, Elsevier, vol. 272(C).
    4. Subhan Danish & Muhammad Zafar-ul-Hye & Shah Fahad & Shah Saud & Martin Brtnicky & Tereza Hammerschmiedt & Rahul Datta, 2020. "Drought Stress Alleviation by ACC Deaminase Producing Achromobacter xylosoxidans and Enterobacter cloacae , with and without Timber Waste Biochar in Maize," Sustainability, MDPI, vol. 12(15), pages 1-17, August.
    5. Katimbo, Abia & Rudnick, Daran R. & DeJonge, Kendall C. & Lo, Tsz Him & Qiao, Xin & Franz, Trenton E. & Nakabuye, Hope Njuki & Duan, Jiaming, 2022. "Crop water stress index computation approaches and their sensitivity to soil water dynamics," Agricultural Water Management, Elsevier, vol. 266(C).
    6. Ning, Dongfeng & Han, Qisheng & Zhang, Yingying & Qin, Anzhen & Liu, Zhandong & Zhang, Jiyang & Gao, Yang, 2024. "Responses of soil microbial community characteristics and enzyme activities to different irrigation modes over four wheat-maize rotation seasons," Agricultural Water Management, Elsevier, vol. 306(C).
    7. DeJonge, Kendall C. & Taghvaeian, Saleh & Trout, Thomas J. & Comas, Louise H., 2015. "Comparison of canopy temperature-based water stress indices for maize," Agricultural Water Management, Elsevier, vol. 156(C), pages 51-62.
    8. Sánchez-Piñero, M. & Martín-Palomo, M.J. & Andreu, L. & Moriana, A. & Corell, M., 2022. "Evaluation of a simplified methodology to estimate the CWSI in olive orchards," Agricultural Water Management, Elsevier, vol. 269(C).
    9. Wang, Feng & Meng, Haofeng & Xie, Ruizhi & Wang, Keru & Ming, Bo & Hou, Peng & Xue, Jun & Li, Shaokun, 2023. "Optimizing deficit irrigation and regulated deficit irrigation methods increases water productivity in maize," Agricultural Water Management, Elsevier, vol. 280(C).
    10. Lin, Yaoben & Sun, Xinyu & Li, Guangyu, 2024. "Investigating the effects of various irrigation methods on bacterial communities in paddy soil," Agricultural Water Management, Elsevier, vol. 306(C).
    11. Yavuz, Duran & Seymen, Musa & Süheri, Sinan & Yavuz, Nurcan & Türkmen, Önder & Kurtar, Ertan Sait, 2020. "How do rootstocks of citron watermelon (Citrullus lanatus var. citroides) affect the yield and quality of watermelon under deficit irrigation?," Agricultural Water Management, Elsevier, vol. 241(C).
    12. Kullberg, Emily G. & DeJonge, Kendall C. & Chávez, José L., 2017. "Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients," Agricultural Water Management, Elsevier, vol. 179(C), pages 64-73.
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