IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v218y2019icp250-258.html
   My bibliography  Save this article

Effects of waterlogging stress at different growth stages on the photosynthetic characteristics and grain yield of spring maize (Zea mays L.) Under field conditions

Author

Listed:
  • Tian, Lixin
  • Li, Jing
  • Bi, Wenshuang
  • Zuo, Shiyu
  • Li, Lijie
  • Li, Wenlong
  • Sun, Lei

Abstract

A field experiment was conducted to investigate the effects of waterlogging stress on the photosynthetic characteristics, dry matter accumulation (including stem, leaf, and ear), and grain yield of spring maize (Zea mays L.) hybrids Demeiya1 (DMY1) and Keyu16 (KY16). The waterlogging and subsurface waterlogging treatments were implemented for different durations (3, 6, and 9 days and 5, 10, and 15 days, respectively) at the seedling (V3), jointing (V6), and tasseling (VT) stages. The results showed that the adverse effects of waterlogging on spring maize growth varied with the duration of waterlogging and the growth stage. The most obvious effect of waterlogging stress occurred at the V3 stage, followed by the V6 and VT stages. Ribulose-1,5-bisphosphate (RuBP) carboxylase and phosphoenolpyruvate (PEP) carboxylase activities, as well as the photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Gs) and intercellular CO2 concentration (Ci) decreased with an increase in the duration of waterlogging, which caused a decrease in the total dry matter weight and ultimately resulted in a significant reduction in spring maize grain yield. The grain yield of DMY1 and KY16 significantly (P < 0.05) decreased by 64.8% and 80.2% in the V3-9 treatment and decreased by 61.5% and 71.9%, respectively, in the V3-s15 treatment.

Suggested Citation

  • Tian, Lixin & Li, Jing & Bi, Wenshuang & Zuo, Shiyu & Li, Lijie & Li, Wenlong & Sun, Lei, 2019. "Effects of waterlogging stress at different growth stages on the photosynthetic characteristics and grain yield of spring maize (Zea mays L.) Under field conditions," Agricultural Water Management, Elsevier, vol. 218(C), pages 250-258.
    • Handle: RePEc:eee:agiwat:v:218:y:2019:i:c:p:250-258
    DOI: 10.1016/j.agwat.2019.03.054
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418306395
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.03.054?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Pei & Huang, Qiang & Huang, Shengzhi & Leng, Guoyong & Peng, Jian & Wang, Hao & Zheng, Xudong & Li, Yifei & Fang, Wei, 2022. "Various maize yield losses and their dynamics triggered by drought thresholds based on Copula-Bayesian conditional probabilities," Agricultural Water Management, Elsevier, vol. 261(C).
    2. Huang, Chao & Gao, Yang & Qin, Anzhen & Liu, Zugui & Zhao, Ben & Ning, Dongfeng & Ma, Shoutian & Duan, Aiwang & Liu, Zhandong, 2022. "Effects of waterlogging at different stages and durations on maize growth and grain yields," Agricultural Water Management, Elsevier, vol. 261(C).
    3. Huang, Chao & Zhang, Weiqiang & Wang, Hui & Gao, Yang & Ma, Shoutian & Qin, Anzhen & Liu, Zugui & Zhao, Ben & Ning, Dongfeng & Zheng, Hongjian & Liu, Zhandong, 2022. "Effects of waterlogging at different stages on growth and ear quality of waxy maize," Agricultural Water Management, Elsevier, vol. 266(C).
    4. Xuelin Xie & Jingfang Shen, 2021. "Waterlogging Resistance Evaluation Index and Photosynthesis Characteristics Selection: Using Machine Learning Methods to Judge Poplar’s Waterlogging Resistance," Mathematics, MDPI, vol. 9(13), pages 1-19, July.
    5. Liu, Xiaogang & Peng, Youliang & Yang, Qiliang & Wang, Xiukang & Cui, Ningbo, 2021. "Determining optimal deficit irrigation and fertilization to increase mango yield, quality, and WUE in a dry hot environment based on TOPSIS," Agricultural Water Management, Elsevier, vol. 245(C).

    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:218:y:2019:i:c:p:250-258. 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.