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中国南方受污染土壤上玉米品种中镉的积累与转运

Cadmium accumulation and translocation in maize cultivars on contaminated soils in southern China.

作者信息

Shan Xiangyu, Dou Fei, Li Dawei, Yuan Yuzhen, Zhang Yingyun, Liu Chuanping

机构信息

Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Academy of Sciences, Guangzhou, 510650, China.

出版信息

BMC Plant Biol. 2025 May 5;25(1):589. doi: 10.1186/s12870-025-06286-3.

Abstract

Rapid industrialization in China has led to widespread soil contamination, particularly with heavy metals like cadmium (Cd). This study investigates Cd accumulation and translocation in 12 commercial maize cultivars grown on contaminated soils. Initial soil Cd concentrations averaged 0.68 mg kg, exceeding safe limits for agricultural soils. Post-harvest results indicated that the soil Cd concentration decreased under all cultivars, with values ranging from 0.25 to 0.55 mg kg, indicating effective Cd uptake by maize. The bio-concentration factor (BCF) values indicated Cd accumulation, varying between 0.016 and 0.051, while translocation factor (TF) values ranged from 0.04 to 0.12. Cultivar C868 (pollution index (Pi) = 0.048, BCF = 0.016 and TF = 0.05) and C380 (Pi = 0.071, BCF = 0.023 and TF = 0.09) were the best cultivars on contaminated soils, which demonstrated reduced Cd uptake and limited translocation to grains. In addition, a strong positive correlation (r = 0.72, p < 0.05) was observed between soil Cd, Pi, BCF and TF, indicating that cultivars grown on high Pi soils, with higher Cd uptake and translocation result in higher accumulation of Cd in grains. The combined VNIR-PLSR model showed strong predictive performance for the prediction of Cd (R = 0.67 and RPD = 2.4). Spectral analysis revealed significant increases of reflectance at 450-500 and 600-700 nm associated with Cd absorption. Our findings indicated the capability of VNIR spectroscopy coupled with PLSR method as a reliable and efficient method for soil Cd assessment.

摘要

中国的快速工业化导致了土壤的广泛污染,尤其是镉(Cd)等重金属污染。本研究调查了在受污染土壤上种植的12个商业玉米品种中镉的积累和转运情况。初始土壤镉浓度平均为0.68毫克/千克,超过了农业土壤的安全限值。收获后的结果表明,在所有品种下土壤镉浓度均有所下降,值在0.25至0.55毫克/千克之间,表明玉米对镉有有效吸收。生物富集系数(BCF)值表明了镉的积累,在0.016至0.051之间变化,而转运系数(TF)值在0.04至0.12之间。品种C868(污染指数(Pi)=0.048,BCF=0.016,TF=0.05)和C380(Pi=0.071,BCF=0.023,TF=0.09)是受污染土壤上表现最佳的品种,它们对镉的吸收减少且向籽粒的转运有限。此外,观察到土壤镉、Pi、BCF和TF之间存在强正相关(r=0.72,p<0.05),这表明在高Pi土壤上生长的品种,由于对镉的吸收和转运较高,导致籽粒中镉的积累量更高。联合近红外光谱-偏最小二乘回归(VNIR-PLSR)模型对镉的预测显示出很强的预测性能(R=0.67,RPD=2.4)。光谱分析表明,与镉吸收相关的450 - 500纳米和600 - 700纳米处的反射率显著增加。我们的研究结果表明,近红外光谱结合偏最小二乘回归方法作为一种可靠且高效的土壤镉评估方法具有可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7892/12051276/0359e4ca7135/12870_2025_6286_Fig1_HTML.jpg

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