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安徽庐江潜在富硒土壤Se生物有效性
杨奎,李湘凌,张敬雅,章凌曦,尚世贵,张千明,王延明,等
作者单位E-mail
杨奎 合肥工业大学 资源与环境工程学院 784592776@qq.com 
李湘凌 合肥工业大学 资源与环境工程学院 Email: lixiangling hfut@126.com 
张敬雅 合肥工业大学 资源与环境工程学院  
章凌曦 合肥工业大学 资源与环境工程学院  
尚世贵 安徽省地质矿产勘查局地质队  
张千明 安徽省地质矿产勘查局地质队  
王延明 安徽省地质矿产勘查局地质队  
摘要:
为研究潜在富硒土壤Se生物有效性,采集安徽庐江潜在富硒地区64组水稻及对应根系土壤样品,分析土壤理化性质、土壤养分、Se含量、Se形态及大米Se含量 ,采用线性回归法探究土壤Se生物有效性的影响因素。结果表明,大米Se含量(以质量分数计)为0.037~0.120 mg/kg,土壤Se全量为0.260~1.177 mg/kg,土壤Se主要以腐殖酸态Se(15.5%~31.5%)、强有机态Se(12.5%~38.6%)和残渣态Se(8.1%~68.5%)为主。土壤有效硫、有效磷通过提高腐殖酸态、强有机态和浸提性Se含量并促进水稻籽实(大米)对Se的吸收,而土壤CEC、速效钾、全铁和全锰通过降低水稻生物可利用态Se含量(包括水溶态、腐殖酸态、强有机态和浸提性Se)抑制水稻籽实(大米)对Se的吸收。土壤Se全量与大米Se含量显著正相关(R =0.616,P<0.01),非残渣态Se与有机质含量之比(记作NRE-Se/OM )与大米Se含量相关性最强(R =0.774,P <0.01)。土壤NRE-Se/OM、有效硫、有效铁、总锰构建的多元逐步线性对数回归模型可解释水稻籽实(大米)吸收Se 76.0%的方差。因此引入变量NRE-Se/OM ,并结合土壤有效硫、有效铁和总锰能有效评价和预测研究区土壤Se生物有效性。
关键词:  富硒土壤  硒生物有效性  大米  庐江
DOI:
分类号:
基金项目:2016年度安徽省公益性地质项目
Selenium Bioavailability in Potentially Selenium Enriched Soils in Lujiang County, Anhui Province
Yang Kui,Li Xiangling,Zhang Jingya,Zhang Lingxi,Shang Shigui,Zhang Qianming,Wang Yanming,et al
Abstract:
The study investigates the bioavailability of selenium(Se) bioavailability in potentially Se-enriched soils. A total of 64 paired samples of rice and the corresponding root soils were collected from Lujiang county, Anhui Province, China. A linear regression method was used to study the parameters that are best related to the bioavailability of Se, including physical and chemical properties, nutrient abundances, Se concentrations, the distribution of Se in soil samples, and the Se concentrations in the associated rice. These data indicate that the rice in the study area contains 0.037–0.120mg/kg Se (mean of 0.060 mg/kg Se), whereas the associated soil samples contain 0.260–1.177mg/kg Se (mean of 0.450 mg/kg). The Se in the soil samples was mainly distributed between humic acid bound phases (15.5%–31.5%), strongly bound organic phases (12.5%–38.6%), and residual phases (8.1%–68.5%). Increasing abundance of effective sulfur (S) and phosphorus(P) positively correlated with the concentrations of Se in rice as a result of an increase in the abundance of Se in strongly bound organic phases and the extractable concentrations of Se in soil. In contrasts, increases CEC and the concentrations of available potassium(K), total iron (Fe), and manganese (Mn) in soil inhibited the uptake of Se by rice as a result of the reduction in the concentration of available Se in soil, primarily as this Se was present in soils in the form of humic acid bound Se, strongly bound organic phase Se, extractable Se, and water-soluble Se. Soil Se concentrations have a strong positive correlation with rice Se concentrations(R =0.616,P<0.01). In addition, the concentration ratios of non-residual phase Se and organic matter(NRE-Se/OM) also strongly positively correlate with rice Se concentrations(R =0.616,P<0.01).This study used a multiple stepwise lineal logarithmic regression approach combined with NRE-Se/OM values, effective S and Fe soil concentration data, and total Mn soil concentration data to generate a model for Se uptake by rice, with some76.0% of the variance in the model being explained by variations in these values. This means that soil NRE-Se/OM, effective S and Fe, and total Mn values can be used to effectively evaluate soil Se bioavailability.
Key words:  Se-enriched soils  Se bioavailability  rice  Lujiang county