| 李金瓶,王学东,马虹,马义兵.土壤外源钴对大麦根伸长的毒害及其预测模型[J].农业环境科学学报,2020,39(12):2771-2778. |
| 土壤外源钴对大麦根伸长的毒害及其预测模型 |
| The effect of toxicity of soil supplemented with cobalt on barley root elongation and cobalt toxicity prediction models |
| 投稿时间：2020-06-16 |
| DOI：10.11654/jaes.2020-0685 |
| 中文关键词: 土壤 钴 毒害效应 大麦 回归模型 |
| 英文关键词: soil cobalt phytotoxicity barley regression models |
| 基金项目:国家自然科学基金项目（41877496） |
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| 摘要点击次数: 1286 |
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| 中文摘要: |
| 选取我国11种不同性质的农田土壤，通过外源添加重金属钴（Co），研究其对大麦（Hordeum vulgare L.）根伸长的毒性阈值及土壤性质对Co毒性的影响。结果发现，Co对大麦根伸长10%抑制效应（EC10）在11种土壤中的变化范围为37.1~3 914 mg·kg-1土（105.5倍），50%抑制效应（EC50）的变化范围为166.1~6 030 mg·kg-1土（36.3倍）。建立土壤性质与毒性阈值的回归方程，结果表明土壤pH是影响土壤Co毒性阈值最重要的因子，作为单因子时分别可以解释77.6%、72%的EC10和EC50的变异（P≤0.001）。当在EC10预测模型中引入土壤pH和土壤黏粒（Clay）双因子时，可以解释83.9%的EC10的变异（P<0.001），EC50预测模型中引入土壤pH和总碳（TC）双因子时，可以解释86.1%的EC50的变异（P<0.001）。将我国土壤中得到的Co毒性阈值预测模型和欧洲北美10种土壤的预测模型进行比较验证，结果发现基于我国土壤得到的预测模型可以较为准确地预测欧洲北美土壤中Co的大麦根伸长毒性阈值，但基于欧洲北美土壤的预测模型不能准确预测我国土壤中Co的毒性阈值。研究表明，我国土壤性质对Co毒性有显著的影响，基于土壤性质建立的预测模型可为土壤中Co生态风险评价提供参考依据。 |
| 英文摘要: |
| Barley(Hordeum vulgare L.)root elongation assays were performed in 11 Chinese agricultural soils to study the phytotoxicity of exogenously added cobalt(Co), and the effects of soil properties on the toxicity thresholds of barley root elongation to Co were investigated. The results showed that the Co concentrations that caused 10% inhibition (EC10)of barley root elongation ranged from 37.1 to 3 914 mg·kg-1, representing 105.5-fold variation among the 11 different soils. The concentrations for 50% inhibition (EC50)ranged from 166.1 to 6 030 mg·kg-1, representing 36.3-fold variation among soils. Regression relationships among soil properties and toxicity thresholds were established and revealed that soil pH was the most important factor in predicting Co toxicity thresholds, as pH was found to explain 77.6% and 72% of the variance in EC10 and EC50, respectively (P ≤ 0.001). When incorporating pH and soil clay into the EC10 predictive model, 83.9% of the variance in EC10 could be predicted. Furthermore, 86.1% of the variance in EC50 could be explained by incorporating pH and total carbon (TC)into the EC50 predictive model(P<0.001). The Co toxicity threshold predictive models obtained from Chinese soils and from European and North American soils were compared, and it was found that the predictive models based on Chinese soils could predict the Co toxicity thresholds in European and North American soils, but not vice versa. This study demonstrates that Co toxicity thresholds are greatly affected by soil properties and that predictive models based on soil properties can provide a basis for Co ecological risk assessments in soils. |
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