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Safe utilization and remediation potential of the mulberry-silkworm system in heavy metal-contaminated lands: A review

文献类型： 外文期刊

作者： Fan, Wei 1 ; Kong, Qiuyue 1 ; Chen, Yuane 1 ; Lu, Fuping 2 ; Wang, Shuchang 2 ; Zhao, Aichun 1 ;

作者机构： 1.Southwest Univ, Inst Sericulture & Syst Biol, State Key Lab Resource Insects, Chongqing 400715, Peoples R China

2.Chinese Acad Trop Agr Sci, Environm & Plant Protect Inst, Haikou 571101, Peoples R China

关键词： Sericulture; Heavy metal stress; Safe HM limits; Remediation practices; Decision model; Molecular breeding

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：9.8； 五年影响因子：9.6 ）

ISSN： 0048-9697

年卷期： 2024 年 927 卷

页码：

收录情况： SCI

摘要： Mulberry cultivation and silkworm rearing hold a prominent position in the agricultural industries of many Asian countries, contributing to economic growth, sustainable development, and cultural heritage preservation. Applying the soil-mulberry-silkworm system (SMSS) to heavy metal (HM)-contaminated areas is significant economically, environmentally, and socially. The ultimate goal of this paper is to review the main research progress of SMSS under HM stress, examining factors affecting its safe utilization and remediation potential for HM-contaminated soils. HM tolerance of mulberry and silkworms relates to their growth stages. Based on the standards for HM contaminants in various mulberry and silkworm products and the bioconcentration factor of HMs at different parts of SMSS, we calculated maximum safe Cd and Pb levels for SMSS application on contaminated lands. Several remediation practices demonstrated mulberry 's ability to grow on barren lands, absorb various HMs, while silkworm excreta can adsorb HMs and improve soil fertility. Considering multiple factors influencing HM tolerance and accumulation, we propose a decision model to guide SMSS application in polluted areas. Finally, we discussed the potential of using molecular breeding techniques to screen or develop varieties better suited for HM -contaminated regions. However, actual pollution scenarios are often complex, requiring consideration of multiple factors. More large-scale applications are crucial to enhance the theoretical foundation for applying SMSS in HM pollution risk areas.

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