Uptake Prediction of Ten Heavy Metals by Eruca sativa Mill. Cultivated in Soils Amended with Sewage Sludge

Eid, Ebrahem M.; Shaltout, Kamal H.; Abd-Allah, S. M.; Galal, Tarek M.; El-Bebany, Ahmed F.; Sewelam, Nasser

doi:10.1007/s00128-019-02746-3

Cited by 11 publications

(6 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since there is not much literature available relating to the establishment of regression models specifically for the absorption of metals by A. esculentus grown in media combined with varying sewage sludge concentrations, the obtained data were compared with studies that evaluated similar concepts using regression models pertaining to alternative crops. When judged against the tissues of A. esculentus in which Cd variability was 77.7-92.5%, Cd variabilities within the plant components for cucumber [1], barley [43], kidney bean [47], garden pea [48], Corchorus olitorius [49], Eruca sativa [50], and spinach [51] were 49-76%, 45-88%, 44-61%, 25-67%, 69-75%, 49-81%, and 83-88%, respectively. Bešter et al [44] used models to measure the impact of Cd in tomato and endive, which exhibited R 2 values of 41% and 90%, respectively.…”

Section: Discussionmentioning

confidence: 99%

Prediction Models Founded on Soil Characteristics for the Estimated Uptake of Nine Metals by Okra Plant, Abelmoschus esculentus (L.) Moench., Cultivated in Agricultural Soils Modified with Varying Sewage Sludge Concentrations

et al. 2021

Self Cite

View full text Add to dashboard Cite

Prediction models were developed to estimate the extent to which the metals Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn were taken up by the fruits, the leaves, the stems, and the roots of the okra plant, Abelmoschus esculentus (L.) Moench., grown under greenhouse conditions in soil modified with a spectrum of sewage sludge concentrations: 0, 10, 20, 30, 40, and 50 g/kg. All the metals under investigation, apart from Cd, were more concentrated in the A. esculentus roots than in any other organ. Overall, the sum of the metal concentration (mg/kg) within the varying plant tissues can be ranked in the following order: roots (13,795.5) > leaves (1252.7) > fruits (489.3) > stems (469.6). For five of the metals (i.e., Cd, Co, Fe, Mn, and Pb), the BCF was <1; for the remaining four metals, the BCF was >1, (i.e., Cr, 1.074; Cu, 1.347; Ni, 1.576; and Zn, 1.031). The metal BCFs were negatively correlated with the pH of the soil and positively correlated with soil OM content. The above-ground tissues exhibited a TF < 1 for all metals, apart from Cd with respect to the leaves (2.003) and the fruits (2.489), and with the exception of Mn in relation to the leaves (1.149). Further positive associations were demonstrated for the concentrations of all the metals in each examined plant tissue and the corresponding soil metal concentration. The tissue uptakes of the nine metals were negatively correlated with soil pH, but positively associated with the OM content in the soil. The generated models showed high performance accuracy; students’ t-tests indicated that any differences between the measured and forecasted concentrations of the nine metals within the four tissue types of A. esculentus failed to reach significance. It can, therefore, be surmised that the prediction models described in the current research form a feasible method with which to determine the safety and risk to human health when cultivating the tested species in soils modified with sewage sludge.

show abstract

Section: Discussionmentioning

confidence: 99%

Prediction Models Founded on Soil Characteristics for the Estimated Uptake of Nine Metals by Okra Plant, Abelmoschus esculentus (L.) Moench., Cultivated in Agricultural Soils Modified with Varying Sewage Sludge Concentrations

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…There is therefore no content-dependent absorption reference for all metallic elements (Singh and Agrawal 2010). Comparable data for Co and Cd were published with respect to Corchorus olitorius (Eid et al 2020a) and Eruca sativa (Eid et al 2020b) grown in field soil combined with SS and Typha domingensis grown under natural conditions (Eid et al 2020c).…”

Section: Discussionmentioning

confidence: 99%

Prediction Models Based on Soil Characteristics for Evaluation of the Accumulation Capacity of Nine Metals by Forage Sorghum Grown in Agricultural Soils Treated with Varying Amounts of Poultry Manure

Eid

Hussain

Alamri

et al. 2023

Bull Environ Contam Toxicol

Self Cite

View full text Add to dashboard Cite

Predictive models were generated to evaluate the degree to which nine metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) were adsorbed by the leaves, stems and roots of forage sorghum in growing media comprising soil admixed with poultry manure concentrations of 0, 10, 20, 30 and 40 g/kg. The data revealed that the greatest contents of the majority of the metals were evident in the roots rather than in the stems and leaves. A bioaccumulation factor (BAF) < 1 was calculated for Cr, Fe, Ni, Pb and

show abstract

“…Regression models are mathematical approaches that predict the concentrations of HMs in plants using some soil variables such as soil HMs, pH, and OM (Chaudri et al, 2007; Eid, Alrumman, Farahat, et al, 2018; Eid, Alrumman, Galal, et al, 2018, 2019; Eid, Shaltout, Abdallah, et al, 2019; Eid, Shaltout, Alamri, et al, 2019; Waegeneers et al, 2011). Data presented here suggested that the calculated prediction models are highly performed for all the estimated HMs in shoots and roots of C. olitorius , based on the parameters that evaluate the high performance of the models ( R 2 , ME, MNAE, and t ‐values).…”

Section: Discussionmentioning

confidence: 99%

“…Prediction models for the uptake of HMs by C. olitorius are comparable to those produced for some crop plants. For example, the determination coefficient ( R 2 ) for Cd in cucumber had a range of 49%–76% (Eid, Alrumman, Farahat, et al, 2018), in spinach had a range of 83%–88% (Eid, Alrumman, Galal, et al, 2018), in Eruca sativa had a range of 49%–81% (Eid, Shaltout, Abdallah, et al, 2019), in garden pea had a range of 25% – 87% (Eid, Shaltout, Alamri, et al, 2019), while it had a range of 69%–75% for C. olitorius in the current study. In this regard, Bešter et al (2013) found that R 2 values of the Cd models in some selected vegetables ranged from 41% for tomato to 90% for endive.…”

Section: Discussionmentioning

confidence: 99%

“…They are useful mathematical tool for predicting the levels of the HMs in crop plants depending on certain soil properties including soil HMs, pH, and OM as independent variables (Waegeneers, Ruttens, & Temmerman, 2011). Regression models are available for many crop plants (e.g., Bešter, Lobnik, Eržen, Kastelec, & Zupan, 2013; Chaudri et al, 2007; Eid, Alrumman, Farahat, & El‐Bebany, 2018; Eid, Alrumman, Galal, & El‐Bebany, 2018; Eid, Alrumman, Galal, & El‐Bebany, 2019; Eid, Shaltout, Abdallah, et al, 2019; Eid, Shaltout, Alamri, et al, 2019; Novotná, Mikeš, & Komprdová, 2015; Ramadan & Al‐Ashkar, 2007; Waegeneers et al, 2011; Zeng et al, 2011). For the safe crop production, it is useful to create multiple models of regression to investigate the correlation between HMs in plants and in soils supporting them to evaluate the dangerous levels of these HMs in soil.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Uptake prediction of ten heavy metals by Corchorus olitorius L. cultivated in soil mixed with sewage sludge

Eid

Shaltout

Alamri

et al. 2020

Food and Energy Security

Self Cite

View full text Add to dashboard Cite

This study was carried out to develop mathematical regression equations for predicting the uptake of selected heavy metals (HMs: Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, and Zn) by Corchorus olitorius L. cultivated in soil mixed with sewage sludge based on the concentration of these HMs in the soil–sludge mixture, soil organic matter (OM), and soil pH. The resultant regression equations reflected that the three soil factors were significant predictors for the uptake of the ten HMs in the plant tissues. Applying the t test, there are no significant differences between the actual and predicted values of the ten HMs in C. olitorius root and shoot (p > .05), which reflect the best‐fitting of these equations for predicting the uptake of these HMs. Such types of equations may be helpful for evaluating the risk of cultivation due to precise prediction of C. olitorius (leafy vegetable) uptake of HMs, in soil mixed with sewage sludge.

show abstract

Uptake Prediction of Ten Heavy Metals by Eruca sativa Mill. Cultivated in Soils Amended with Sewage Sludge

Cited by 11 publications

References 40 publications

Prediction Models Founded on Soil Characteristics for the Estimated Uptake of Nine Metals by Okra Plant, Abelmoschus esculentus (L.) Moench., Cultivated in Agricultural Soils Modified with Varying Sewage Sludge Concentrations

Prediction Models Founded on Soil Characteristics for the Estimated Uptake of Nine Metals by Okra Plant, Abelmoschus esculentus (L.) Moench., Cultivated in Agricultural Soils Modified with Varying Sewage Sludge Concentrations

Prediction Models Based on Soil Characteristics for Evaluation of the Accumulation Capacity of Nine Metals by Forage Sorghum Grown in Agricultural Soils Treated with Varying Amounts of Poultry Manure

Uptake prediction of ten heavy metals by Corchorus olitorius L. cultivated in soil mixed with sewage sludge

Contact Info

Product

Resources

About