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[矿区废弃地复垦土壤-作物对硒的吸收特征及其对重金属的拮抗效应]

[Selenium Uptake Characteristics of Reclaimed Soil-Crop from Mining Wasteland and Its Antagonistic Effects on Heavy Metals].

作者信息

Yin Bing, Wang Jian-Fei, Shi Sheng, Bu Zhong-Yuan, Huo Tian-Man, Zhang Shi-Wen

机构信息

School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.

College of Resource and Environment, Anhui Science and Technology University, Chuzhou 233100, China.

出版信息

Huan Jing Ke Xue. 2020 Apr 8;41(4):1904-1913. doi: 10.13227/j.hjkx.201910034.

Abstract

To fully exploit selenium-rich land resources and ensure crop safety, the phenomenon of "double high" of Se and heavy metals in reclaimed soil of mining wasteland was studied. Soil and maize samples collected from "point-to-point" were weighted by the inverse distance weighted (IDW) method; multiple linear regression (MLR), partial least squares regression (PLSR), random forest regression (RFR), and other methods were used to predict selenium uptake by maize in a sulfur mine reclamation area in southwest China. Meanwhile, the antagonistic effects of selenium (Se) on heavy metals (Hg, As, Cd, and Cr) were analyzed. The results showed that the soil in the study area was rich in selenium resources. The average Se content in the soil reached 0.83 mg·kg, which was 2.87 times that of the average Se content in Chinese soil. The Se content in maize grains ranged from 0.02 mg·kg to 0.16 mg·kg. According to correlation analysis and model prediction, the main influencing factors of selenium content in maize grains in the study area were soil selenium, pH value, organic matter, and heavy metal As. Multivariate linear regression (MLR) was the most effective method for predicting selenium content in maize grains, and the determinant coefficient was 0.52. By comparing the enrichment characteristics of maize to heavy metals (Hg, As, Cd, and Cr) under different concentration gradients of Se in the soil of the study area, the results showed that Se had antagonistic effects on Hg, As, Cd, and Cr. The results can provide a basis for the development of selenium-rich agriculture in similar mining wasteland reclamation in the future.

摘要

为充分开发富硒土地资源并确保作物安全,对矿区复垦土壤中硒与重金属的“双高”现象进行了研究。采用反距离加权(IDW)法对从“点对点”采集的土壤和玉米样本进行加权;运用多元线性回归(MLR)、偏最小二乘回归(PLSR)、随机森林回归(RFR)等方法对中国西南某硫矿复垦区玉米对硒的吸收进行预测。同时,分析了硒(Se)对重金属(Hg、As、Cd和Cr)的拮抗作用。结果表明,研究区土壤硒资源丰富。土壤中硒的平均含量达到0.83 mg·kg,是中国土壤平均硒含量的2.87倍。玉米籽粒中硒含量在0.02 mg·kg至0.16 mg·kg之间。通过相关性分析和模型预测,研究区玉米籽粒中硒含量的主要影响因素为土壤硒、pH值、有机质和重金属As。多元线性回归(MLR)是预测玉米籽粒中硒含量最有效的方法,决定系数为0.52。通过比较研究区土壤中不同硒浓度梯度下玉米对重金属(Hg、As、Cd和Cr)的富集特征,结果表明硒对Hg、As、Cd和Cr具有拮抗作用。研究结果可为今后类似矿区复垦地发展富硒农业提供依据。

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