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Changes in shoot and root adaptations of fibrous-root and taproot crops in response to different drought types: A meta-analysis

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  • Dao, Jicao
  • Xing, Yuanjun
  • Chen, Chunyi
  • Chen, Mianhe
  • Wang, Ziting
  • Chen, Yinglong

Abstract

Environmental variability induces fluctuating drought stress, significantly affecting crop growth and productivity. However, the overall changes in both shoot and root systems caused by different drought severities and crop types remain unclear. Here, we analyzed the available information on the responses of crop shoot and root systems to different drought stresses. A meta-analysis was conducted using published papers from 1985 to 2023, examining the changes in eight shoot and six root system-related traits in response to different types of droughts. Distinct response patterns were observed under prolonged drought and drying-rewetting cycles. Taproot and fibrous-root crops exhibit a return to near-normal growth after alternating wet and dry conditions. After drought, aboveground growth is dominated by stomatal regulation, reducing aboveground growth to preserve energy. Crops often exhibited rapid growth after drought rewatering to compensate for stress-induced losses and adapt to environmental changes. Root biomass interacted with root morphology to redistribute root biomass in the soil, enhancing plant adaptation to drought stress. This meta-analysis evaluated how crop and drought types influence crop responses to drought, emphasizing the effects of various drought conditions on shoot traits and root plasticity. The findings offer valuable insights for selecting and breeding crops with optimal shoot and root phenotypes, developing drought-tolerant varieties with improved food production potential and promoting efficient water use and informing rational irrigation practices.

Suggested Citation

  • Dao, Jicao & Xing, Yuanjun & Chen, Chunyi & Chen, Mianhe & Wang, Ziting & Chen, Yinglong, 2025. "Changes in shoot and root adaptations of fibrous-root and taproot crops in response to different drought types: A meta-analysis," Agricultural Water Management, Elsevier, vol. 309(C).
  • Handle: RePEc:eee:agiwat:v:309:y:2025:i:c:s0378377425000344
    DOI: 10.1016/j.agwat.2025.109320
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    1. repec:plo:pone00:0070006 is not listed on IDEAS
    2. Laura Myrtiá Faní Stratópoulos & Chi Zhang & Karl-Heinz Häberle & Stephan Pauleit & Swantje Duthweiler & Hans Pretzsch & Thomas Rötzer, 2019. "Effects of Drought on the Phenology, Growth, and Morphological Development of Three Urban Tree Species and Cultivars," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    3. Christopher R. Schwalm & William R. L. Anderegg & Anna M. Michalak & Joshua B. Fisher & Franco Biondi & George Koch & Marcy Litvak & Kiona Ogle & John D. Shaw & Adam Wolf & Deborah N. Huntzinger & Kev, 2017. "Global patterns of drought recovery," Nature, Nature, vol. 548(7666), pages 202-205, August.
    4. Xu, Guo-wei & Lu, Da-Ke & Wang, He-Zheng & Li, Youjun, 2018. "Morphological and physiological traits of rice roots and their relationships to yield and nitrogen utilization as influenced by irrigation regime and nitrogen rate," Agricultural Water Management, Elsevier, vol. 203(C), pages 385-394.
    5. Martínez-Ferri, E. & Soria, C. & Ariza, M.T. & Medina, J.J. & Miranda, L. & Domíguez, P. & Muriel, J.L., 2016. "Water relations, growth and physiological response of seven strawberry cultivars (Fragaria×ananassa Duch.) to different water availability," Agricultural Water Management, Elsevier, vol. 164(P1), pages 73-82.
    6. Wang, Yaosheng & Jensen, Christian R. & Liu, Fulai, 2017. "Nutritional responses to soil drying and rewetting cycles under partial root-zone drying irrigation," Agricultural Water Management, Elsevier, vol. 179(C), pages 254-259.
    7. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    8. Chenli Hou & Xianyue Li & Delong Tian & Bing Xu & Chen Zhang & Jie Ren & Ning Chen, 2022. "Evaluation of the Effects of Water and Salinity Stress on the Growth and Biochemistry of Alfalfa ( Medicago sativa L.) at the Branching Stage," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
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