IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i9p1391-d906607.html
   My bibliography  Save this article

Biocontrol of Three Severe Diseases in Soybean

Author

Listed:
  • Shu-Fan Yu

    (School of Light Industry, Beijing Technology and Business University, Beijing 100048, China
    These authors contributed equally to this work.)

  • Chu-Lun Wang

    (School of Light Industry, Beijing Technology and Business University, Beijing 100048, China
    These authors contributed equally to this work.)

  • Ya-Feng Hu

    (School of Light Industry, Beijing Technology and Business University, Beijing 100048, China)

  • Yan-Chen Wen

    (Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Zhan-Bin Sun

    (School of Light Industry, Beijing Technology and Business University, Beijing 100048, China)

Abstract

Three damaging soybean diseases, Sclerotinia stem rot caused by a fungus Sclerotinia sclerotiorum (Lid.) de Bary, Phytophthora root rot caused by a fungus Phytophthora sojae , and soybean cyst nematode ( Heterodera glycines Ichinohe), are destructive to soybean growth and yield and cause huge economic losses. Biocontrol is an effective way to control soybean diseases with the advantage of being environmentally friendly and sustainable. To date, few reviews have reported the control of these three soybean diseases through biocontrol measures. In this review, the biological characteristics of the three pathogens and the incidence features of the three soybean diseases were first introduced. Then, biocontrol agents containing fungi and bacteria capable of controlling the three diseases, as well as their control abilities, were emphasized, followed by their mechanisms of biocontrol action. Bacillus and Streptomyces were found to possess the ability to control all three soybean diseases under greenhouse or field conditions. Finally, suggestions about screening new biocontrol species and deeply studied biocontrol molecular mechanisms are provided for further research on the biocontrol of soybean diseases.

Suggested Citation

  • Shu-Fan Yu & Chu-Lun Wang & Ya-Feng Hu & Yan-Chen Wen & Zhan-Bin Sun, 2022. "Biocontrol of Three Severe Diseases in Soybean," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1391-:d:906607
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/9/1391/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/9/1391/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuanyuan Zhou & Yuanyuan Wang & Xiaofeng Zhu & Rui Liu & Peng Xiang & Jingsheng Chen & Xiaoyu Liu & Yuxi Duan & Lijie Chen, 2017. "Management of the soybean cyst nematode Heterodera glycines with combinations of different rhizobacterial strains on soybean," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-14, August.
    2. Ananda Y Bandara & Dilooshi K Weerasooriya & Carl A Bradley & Tom W Allen & Paul D Esker, 2020. "Dissecting the economic impact of soybean diseases in the United States over two decades," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-28, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seungki Lee & GianCarlo Moschini, 2022. "On the value of innovation and extension information: SCN‐resistant soybean varieties," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1177-1202, August.
    2. Mariola Usovsky & Vinavi A. Gamage & Clinton G. Meinhardt & Nicholas Dietz & Marissa Triller & Pawan Basnet & Jason D. Gillman & Kristin D. Bilyeu & Qijian Song & Bishnu Dhital & Alice Nguyen & Meliss, 2023. "Loss-of-function of an α-SNAP gene confers resistance to soybean cyst nematode," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Roese, Alexandre Dinnys & Zielinski, Erica Camila & May De Mio, Louise Larissa, 2020. "Plant diseases in afforested crop-livestock systems in Brazil," Agricultural Systems, Elsevier, vol. 185(C).
    4. Qing Sun & Shi-Ling Zhang & Yong-Jing Xie & Mei-Ting Xu & Daniela D. Herrera-Balandrano & Xin Chen & Su-Yan Wang & Xin-Chi Shi & Pedro Laborda, 2022. "Identification of New Fusarium sulawense Strains Causing Soybean Pod Blight in China and Their Control Using Carbendazim, Dipicolinic Acid and Kojic Acid," IJERPH, MDPI, vol. 19(17), pages 1-17, August.

    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:gam:jagris:v:12:y:2022:i:9:p:1391-:d:906607. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.