IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i15p1567-d1706949.html
   My bibliography  Save this article

Genotypic and Environmental Impacts on Vicine and Convicine Concentrations in Faba Beans

Author

Listed:
  • Pankaj Maharjan

    (Agriculture Victoria Research, Grain Innovation Park, 110 Natimuk Road, Horsham, VIC 3400, Australia)

  • Aaron C. Elkins

    (Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC 3083, Australia)

  • Jason Brand

    (Agriculture Victoria Research, Grain Innovation Park, 110 Natimuk Road, Horsham, VIC 3400, Australia)

  • Samuel C. Catt

    (School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Glen Osmond, SA 5064, Australia)

  • Simone J. Rochfort

    (Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC 3083, Australia
    School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083, Australia)

  • Joe F. Panozzo

    (School of Agriculture, Food and Ecosystem Sciences, University of Melbourne, Parkville, VIC 3010, Australia)

Abstract

High concentrations of vicine and convicine (v-c) in faba beans can trigger favism in susceptible humans, posing a significant barrier to the broader adoption of faba beans as a food source. While plant breeding and various post-harvest processing methods have been adopted to reduce v-c levels, there is limited understanding of how agronomic practices may assist in reducing v-c levels. This study investigated the effect of sowing time (TOS), soil type, and genotype on v-c levels in faba beans. Twelve faba bean genotypes were evaluated across multiple field sites by applying two sowing times and two diverse soil types. The v-c content was quantified using established chromatographic techniques. Genotypes were identified as the most major factor affecting v-c levels, with significant variation observed in mean vicine and convicine contents. Sowing time also had a significant impact ( p < 0.01), with lower v-c levels observed in TOS 1 compared to TOS 2. This reduction may be due to a longer plant development period and extended seed desiccation in TOS 1. Soil conditions, likely linked to nutritional factors, significantly influenced vicine concentrations ( p < 0.05) but did not influence convicine levels ( p > 0.05). These findings highlight the importance of agronomy practices, such as optimal sowing time, soil nutrition, and moisture management, in minimizing v-c levels; the most effective strategy remains the development of low v-c genotypes combined with farming practices that naturally suppress v-c accumulation.

Suggested Citation

  • Pankaj Maharjan & Aaron C. Elkins & Jason Brand & Samuel C. Catt & Simone J. Rochfort & Joe F. Panozzo, 2025. "Genotypic and Environmental Impacts on Vicine and Convicine Concentrations in Faba Beans," Agriculture, MDPI, vol. 15(15), pages 1-14, July.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:15:p:1567-:d:1706949
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/15/1567/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/15/1567/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sushil Thapa & Ammar Bhandari & Rajan Ghimire & Qingwu Xue & Fanson Kidwaro & Shirin Ghatrehsamani & Bijesh Maharjan & Mark Goodwin, 2021. "Managing Micronutrients for Improving Soil Fertility, Health, and Soybean Yield," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    2. Murukarthick Jayakodi & Agnieszka A. Golicz & Jonathan Kreplak & Lavinia I. Fechete & Deepti Angra & Petr Bednář & Elesandro Bornhofen & Hailin Zhang & Raphaël Boussageon & Sukhjiwan Kaur & Kwok Cheun, 2023. "The giant diploid faba genome unlocks variation in a global protein crop," Nature, Nature, vol. 615(7953), pages 652-659, March.
    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. Yuwei Liang & Qiang Gao & Fan Li & Yunpeng Du & Jian Wu & Wenqiang Pan & Shaokun Wang & Xiuhai Zhang & Mingfang Zhang & Xiaoming Song & Linlin Zhong & Fan Zhang & Yan Li & Zhiwei Wang & Danqing Li & Q, 2025. "The giant genome of lily provides insights into the hybridization of cultivated lilies," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
    2. Fei Shen & Shixiao Xu & Qi Shen & Changwei Bi & Martin A. Lysak, 2023. "The allotetraploid horseradish genome provides insights into subgenome diversification and formation of critical traits," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    3. Nurullah Acir, 2025. "Predicting Soil Fertility in Semi-Arid Agroecosystems Using Interpretable Machine Learning Models: A Sustainable Approach for Data-Sparse Regions," Sustainability, MDPI, vol. 17(16), pages 1-22, August.
    4. Yuki Hayashi & Kohei Fukatsu & Koji Takahashi & Satoru N. Kinoshita & Kyohei Kato & Taku Sakakibara & Keiko Kuwata & Toshinori Kinoshita, 2024. "Phosphorylation of plasma membrane H+-ATPase Thr881 participates in light-induced stomatal opening," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Marcela Mendoza-Suárez & Turgut Yigit Akyol & Marcin Nadzieja & Stig U. Andersen, 2024. "Increased diversity of beneficial rhizobia enhances faba bean growth," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    6. Carmen Santos & Susana Trindade Leitão, 2023. "The Exceptionally Large Genomes of the Fabeae Tribe: Comparative Genomics and Applications in Abiotic and Biotic Stress Studies," Agriculture, MDPI, vol. 14(1), pages 1-21, December.
    7. Kiwamu Ishikura & Nobuhiko Fueki & Katsuhisa Niwa, 2025. "Progress in “Clean Agriculture” for Nitrogen Management to Enhance the Soil Health of Arable Fields and Its Application by Remote Sensing in Hokkaido, Japan," Agriculture, MDPI, vol. 15(11), pages 1-24, May.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:15:y:2025:i:15:p:1567-:d:1706949. 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.