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Key influencing factors and pathways of cadmium accumulation in fresh maize grains: based on Random Forest model |
Received:July 02, 2024 |
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KeyWord:maize;cadmium;Random Forest;influencing factor |
Author Name | Affiliation | E-mail | WANG Yanan | College of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou 311300, China Institute of Environmental Resources and Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China | | LIU Yingxia | Institute of Environmental Resources and Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China | | MA Jinchuan | Institute of Environmental Resources and Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China | | MA Junwei | Institute of Environmental Resources and Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China | majw@zaas.ac.cn | CHU Junjie | Institute of Environmental Resources and Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China | | WANG Qiang | Institute of Environmental Resources and Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China | | ZOU Ping | Institute of Environmental Resources and Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China | pzou@mail.zaas.ac.cn |
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Abstract: |
In order to explore the key influencing factors and influencing pathways of cadmium(Cd)content in maize grains, In this study, fresh maize planted in Cd polluted area of Quzhou City, Zhejiang Province and the corresponding soil were taken as the research object. The influence factors of soil(pH, available Cd, total Cd)and plant(Cd content in each organ, Cd translocation factors and varieties)were analyzed by Random Forest(RF)model. The results showed that soil pH was negatively correlated with grain Cd content, while other variables were positively correlated with Cd content. The variance explained by the predictive model based on cross-validation(VECV)in RF model explained 75.65% of the variation of Cd content in maize grains. The importance of influencing factors on the Cd content in maize grains was as follows:TFcob-grain>variety>stem Cd>root Cd>BCF>husk Cd(plant factor); Soil pH>soil available Cd>soil total Cd(soil factor). Path analysis showed that soil pH and soil total Cd directly affect the content of available Cd in soil, thereby indirectly affecting the absorption of Cd by maize and the migration and transport of Cd in the above-ground part of the plant, and finally affecting the content of Cd in maize grains. Stem Cd, leaf Cd and cob Cd together explained 47% of the Cd content in maize grains, and the prediction ability of the model was 45.57%(Goodness of fit=0.455 7). In conclusion, soil pH, translocation ability for Cd and variety are the most important factors affecting maize grain Cd. |
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