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| Evaluation of cadmium accumulation in rice using a Cubist multivariate mixed regression model |
| Received:December 21, 2017 |
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| KeyWord:rice;cadmium;Cubist |
| Author Name | Affiliation | E-mail | | LIU Jia-feng | College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, China
Key Laboratory for Environmental Factors Control of Agro-product Quality Safety, Ministry of Agriculture, Tianjin 300191, China | | | TIAN Na-na | College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, China
Key Laboratory for Environmental Factors Control of Agro-product Quality Safety, Ministry of Agriculture, Tianjin 300191, China | | | ZHAO Yu-jie | Key Laboratory for Environmental Factors Control of Agro-product Quality Safety, Ministry of Agriculture, Tianjin 300191, China | yujiezhao@126.com | | ZHOU Qi-wen | Key Laboratory for Environmental Factors Control of Agro-product Quality Safety, Ministry of Agriculture, Tianjin 300191, China | | | LIU Xiao-wei | Key Laboratory for Environmental Factors Control of Agro-product Quality Safety, Ministry of Agriculture, Tianjin 300191, China | | | YUAN Xu | Grassland Test and Extension Station of Guizhou Province, Guiyang 550000, China | | | GUO Xin-lei | Key Laboratory for Environmental Factors Control of Agro-product Quality Safety, Ministry of Agriculture, Tianjin 300191, China | |
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| Abstract: |
| To provide technical support for ensuring the quality and safety of agricultural products, the influences of soil environmental factors on the accumulation of cadmium(Cd) in rice under different conditions were studied. Based on the base date and soil parameters determined for the Hunan Province, a Cubist multivariate mixed linear regression model of Cd for soil-rice systems was built. The results suggested that among the 23 soil parameters evaluated the soil environmental factors of Ca, Fe, S, Cd, Cl, and pH had a significant influence on the enrichment of Cd and were therefore incorporated into the Cubist model. The Ca concentration(calculated using CaO concentration) had significant correlation with pH when the Ca content of the soil was less than 1%. In addition, S was significantly correlated with the soil organic matter(SOM) value. The influence of soil pH on the Cd concentration in rice differed among different thresholds. The Cubist mixed linear regression model overcame the shortcomings of multivariate regression, which can only be used to construct a single model. The Cubist model can effectively screen and characterize the effect of environmental factors on Cd accumulation in rice. Hence, it is an effective method for constructing a soil-rice Cd transport model. |
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