文章摘要
熊婕,朱奇宏,黄道友,朱捍华,许超,王帅,王辉.南方典型稻区稻米镉累积量的预测模型研究[J].农业环境科学学报,2019,38(1):22-28.
南方典型稻区稻米镉累积量的预测模型研究
Prediction model for the accumulation of cadmium in rice in typical paddy fields of south China
投稿时间:2018-02-06  
DOI:10.11654/jaes.2018-0201
中文关键词: 稻米  土壤性质  南方稻田土壤  水稻品种类型  影响因素  预测模型
英文关键词: brown rice  soil properties  paddy soils in south China  rice variety types  influencing factors  prediction model
基金项目:公益性行业(农业)科研专项基金(201403015);国家自然科学基金项目(41877138)
作者单位E-mail
熊婕 中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125
中国科学院大学, 北京 100049 
 
朱奇宏 中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125  
黄道友 中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 dyhuang@isa.ac.cn 
朱捍华 中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125  
许超 中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125  
王帅 中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125  
王辉 中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125  
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中文摘要:
      为了更好地指导镉污染稻田土壤修复、管控稻米镉风险,本文以我国镉污染风险较大的南方稻田为研究对象,基于土壤与稻米配对样品,分析稻米镉含量与土壤理化因子的相关关系,并通过逐步回归分析,建立稻米镉累积量的预测模型。结果表明,我国南方稻区稻米镉累积量主要取决于土壤有效态镉含量而非全镉含量,有效铁、有效锰及有机质含量也是影响稻米镉含量的重要因素;在不考虑水稻品种条件下,采用土壤有效态镉含量、有效锰、有效铁及有机质可较好预测稻米镉积累量,模型的预测能力达到极显著水平(P<0.001),决定系数(R2)为0.52;针对常规稻和杂交稻,以上述4个土壤因子分别建立的模型也可实现较好预测(P<0.001),R2分别为0.47和0.67。
英文摘要:
      Cadmium(Cd) pollution in paddy soil is an increasingly serious problem in southern China. Establishing a prediction model for the accumulation of Cd in paddy rice is of great significance to guide the remediation of Cd-contaminated paddy soils and control the risk of Cd pollution. To construct simulation models of Cd accumulation in paddy rice for southern China, 90 pairs of soil and brown rice samples were collected from typical paddy fields in Hunan Province. The concentrations of Cd in brown rice, total Cd, CaCl2 extractable Cd in soil, and basic soil properties were determined. Further, the relationships between Cd concentration in rice and soil properties were analyzed using correlation analysis and stepwise regression. The results indicated that the concentrations of Cd in brown rice were mainly related to the available Cd content rather than the total Cd content in paddy soils. Moreover, the presence of available iron(Fe), manganese(Mn), and organic matter in soil, and the varieties of paddy rice also played important roles in Cd accumulation in brown rice. The simulation model of Cd accumulation in brown rice based on available Cd, Mn, Fe, and organic matter in soils showed high accuracy(P<0.001, R2=0.52) independent of rice variety. Furthermore, simulation models based on the above four soil factors could also predict the accumulation of Cd in conventional rice varieties(P<0.001, R2=0.47) and hybrid rice varieties(P<0.001, R2=0.67).
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