Biology Department, College of Science, King Khalid University, P.O. Box 9004, Abha, 61321, Saudi Arabia.
Botany Department, Faculty of Science, Kafr El-Sheikh University, Kafr El-Sheikh, 33516, Egypt.
Bull Environ Contam Toxicol. 2020 Jan;104(1):134-143. doi: 10.1007/s00128-019-02746-3. Epub 2019 Nov 20.
This study was carried out to develop mathematical regression equations for predicting the uptake of ten heavy metals (HMs) (cadmium, Cd; cobalt, Co; chromium, Cr; copper, Cu; iron, Fe; manganese, Mn; molybdenum, Mo; nickel, Ni; lead, Pb; zinc, Zn) by a vegetable species (Eruca sativa Mill.) in the Abha region (Saudi Arabia) based on the concentration of these HMs in soils amended with sewage sludge, organic matter (OM) content and soil pH. The resultant regression equations indicated that the three soil factors were significant predictors for the uptake of the ten HMs in the plant tissues. By applying a t test, we found that there are no significant differences between the actual and predicted values of the ten HMs in the E. sativa roots and leaves (P > 0.05), which reflects the goodness of fit of these equations for predicting the uptake of these HMs. Such types of equations may be helpful for evaluating the risk of cultivation of E. sativa plants in soils amended with sewage sludge.
本研究旨在建立数学回归方程，以预测十种重金属（镉、钴、铬、铜、铁、锰、钼、镍、铅、锌）在沙特阿拉伯阿巴地区的一种蔬菜（芝麻菜）中的吸收情况，这些方程基于土壤中添加污水污泥、有机物（OM）含量和土壤 pH 对这些重金属浓度的影响。回归方程表明，这三个土壤因素是植物组织中十种重金属吸收的重要预测因子。通过应用 t 检验，我们发现芝麻菜的根和叶中十种重金属的实际值和预测值之间没有显著差异（P>0.05），这反映了这些方程对预测这些重金属吸收的拟合度较好。这种类型的方程可能有助于评估在添加污水污泥的土壤中种植芝麻菜的风险。
