IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i6p1123-d1156489.html
   My bibliography  Save this article

Multi-Target Element-Based Screening of Maize Varieties with Low Accumulation of Heavy Metals (HMs) and Metalloids: Uptake, Transport, and Health Risks

Author

Listed:
  • Yan Zha

    (Institute of Crop and Ecology, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China)

  • Lin Zhao

    (Institute of Crop and Ecology, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China)

  • Tianxin Niu

    (Institute of Crop and Ecology, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China)

  • Erkui Yue

    (Institute of Crop and Ecology, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China)

  • Xianbo Wang

    (Institute of Experiment Center, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China)

  • Jiang Shi

    (Institute of Crop and Ecology, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China)

Abstract

Mitigating heavy metals (HMs) contamination and ensuring the safe production of crops is of paramount importance for sustainable agriculture development. The purpose of the current field plot study was to select maize varieties with low HMs and metalloids in their edible parts but high accumulation in other parts. The cadmium (Cd), arsenic (As), lead (Pb), and chromium (Cr) contents of 11 maize varieties were measured by atomic absorption spectrometry, and the plant growth and bioconcentration factors (BFs) were examined. Furthermore, the average daily intake (ADDi) of HMs in maize grains was calculated to assess the associated health risks. The results revealed that the growth of variety TZ23 was minimally impacted HMs and metalloids. The grains of all of the tested maize varieties contained Cr, As, and Pb contents in accordance with National Food Safety Standards (NFSSs, GB2762-2017, ≤0.1 mg·kg −1 ), while the Cd concentration in grains of varieties QJN1, LSCR, and JN20 were 0.084 mg·kg −1 , 0.094 mg·kg −1 , and 0.077 mg·kg −1 , respectively, in accordance with NFSSs. The translocation factor (TF) of As, Pb and Cr in the grains of 11 maize varieties were found to be less than 1. However, the TF of grain Cd in varieties LYN9, JYN9, and QJN3 exceeded 1. For varieties HNY21, TZ23, and LYN9, the TF of Cd, As, Pb, and Cr in the stems/leaves was less than 1. Cluster analysis revealed that the grains of variety HNY21 had the lowest accumulation capacity of all four HMs. Importantly, the variety JN20 exhibited a high accumulation capacity for Pb and a low capacity for As, while both varieties SKN11 and QJN3 had high accumulation capacities for Cd and low capacities for As. Health risk (HR) indices of the different age groups displayed an overall trend of children > elderly > young adult. Among the HMs and metalloids, Cd and Cr pose the greatest health risks of maize intake. Variety QJN3 posed a significant HR due to chronic toxicity. This study provides a scientific basis for multi-element pollution control and screening of maize varieties suitable for cultivation in mining areas and the remediation of HMs-contaminated soils.

Suggested Citation

  • Yan Zha & Lin Zhao & Tianxin Niu & Erkui Yue & Xianbo Wang & Jiang Shi, 2023. "Multi-Target Element-Based Screening of Maize Varieties with Low Accumulation of Heavy Metals (HMs) and Metalloids: Uptake, Transport, and Health Risks," Agriculture, MDPI, vol. 13(6), pages 1-15, May.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:6:p:1123-:d:1156489
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/6/1123/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/6/1123/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jorge Retamal-Salgado & Juan Hirzel & Ingrid Walter & Iván Matus, 2017. "Bioabsorption and Bioaccumulation of Cadmium in the Straw and Grain of Maize ( Zea mays L.) in Growing Soils Contaminated with Cadmium in Different Environment," IJERPH, MDPI, vol. 14(11), pages 1-15, November.
    2. Bifeng Hu & Songchao Chen & Jie Hu & Fang Xia & Junfeng Xu & Yan Li & Zhou Shi, 2017. "Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-13, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Peiyi Zeng & Shujuan He & Liping He & Muqing Yang & Xian Zhu & Min Wu, 2024. "Screening of Maize Varieties with High Biomass and Low Accumulation of Pb and Cd around Lead and Zinc Smelting Enterprises: Field Experiment," Agriculture, MDPI, vol. 14(3), pages 1-21, March.
    2. Jing Zheng & Xiaotian Zhou & Yuxin Gao & Chi Cao & Hanxiu Hu & Wenling Ye & Youhua Ma, 2023. "Effects of Fertilizers and Conditioners on Chromium Uptake of Maize in Chromium-Polluted Farmland," Sustainability, MDPI, vol. 15(17), pages 1-17, August.

    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. Jorge Paz-Ferreiro & Gabriel Gascó & Ana Méndez & Suzie M. Reichman, 2018. "Soil Pollution and Remediation," IJERPH, MDPI, vol. 15(8), pages 1-3, August.
    2. Bifeng Hu & Xiaolin Jia & Jie Hu & Dongyun Xu & Fang Xia & Yan Li, 2017. "Assessment of Heavy Metal Pollution and Health Risks in the Soil-Plant-Human System in the Yangtze River Delta, China," IJERPH, MDPI, vol. 14(9), pages 1-18, September.
    3. Bifeng Hu & Ruiying Zhao & Songchao Chen & Yue Zhou & Bin Jin & Yan Li & Zhou Shi, 2018. "Heavy Metal Pollution Delineation Based on Uncertainty in a Coastal Industrial City in the Yangtze River Delta, China," IJERPH, MDPI, vol. 15(4), pages 1-13, April.
    4. Xiaolin Jia & Yi Fang & Bifeng Hu & Baobao Yu & Yin Zhou, 2023. "Development of Soil Fertility Index Using Machine Learning and Visible-Near-Infrared Spectroscopy," Land, MDPI, vol. 12(12), pages 1-13, December.
    5. Shuai Shao & Bifeng Hu & Zhiyi Fu & Jiayu Wang & Ge Lou & Yue Zhou & Bin Jin & Yan Li & Zhou Shi, 2018. "Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China," IJERPH, MDPI, vol. 15(6), pages 1-14, June.
    6. Ioana Andreea Petrean & Valer Micle & Marin Șenilă, 2023. "Investigation of Sterile Mining Dumps Resulting from Ore Exploitation and Processing in Maramures County, Romania," Land, MDPI, vol. 12(2), pages 1-21, February.
    7. Modian Xie & Hongyi Li & Youwei Zhu & Jie Xue & Qihao You & Bin Jin & Zhou Shi, 2021. "Predicting Bioaccumulation of Potentially Toxic Element in Soil–Rice Systems Using Multi-Source Data and Machine Learning Methods: A Case Study of an Industrial City in Southeast China," Land, MDPI, vol. 10(6), pages 1-17, May.
    8. Ioana Andreea Petrean & Valer Micle & Ioana Monica Sur & Marin Șenilă, 2023. "Characterization of Sterile Mining Dumps by the ICP-OES Analytical Method: A Case Study from Baia Mare Mining Area (Maramures, Romania)," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    9. Fang Xia & Bifeng Hu & Shuai Shao & Dongyun Xu & Yue Zhou & Yin Zhou & Mingxiang Huang & Yan Li & Songchao Chen & Zhou Shi, 2019. "Improvement of Spatial Modeling of Cr, Pb, Cd, As and Ni in Soil Based on Portable X-ray Fluorescence (PXRF) and Geostatistics: A Case Study in East China," IJERPH, MDPI, vol. 16(15), pages 1-15, July.
    10. Mohammad Nishat Akhtar & Abdurrahman Javid Shaikh & Ambareen Khan & Habib Awais & Elmi Abu Bakar & Abdul Rahim Othman, 2021. "Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review," Agriculture, MDPI, vol. 11(6), pages 1-37, May.
    11. Balengayabo, Jonas G. & Kassenga, Gabriel R. & Mgana, Shaaban M. & Salukele, Fredrick, 2024. "Impact of recurring irrigation with treated domestic wastewater on heavy metal accumulation in the soil," Agricultural Water Management, Elsevier, vol. 297(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:gam:jagris:v:13:y:2023:i:6:p:1123-:d:1156489. 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.