Prediction Model Based on Transfer Characteristics of Heavy Metals from Soils to Yam Tubers Grown in Wukari Farmland

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Augustina Achimugu
John F. Wansah
Onuh G. Emmanuel
Jeremiah J. John
Emmanuel U. Bawa-Boyi

Abstract

Heavy metal contamination in agricultural soils poses a significant threat to human health because these elements accumulate in food crops. The study's aim was to make a prediction model based on the soil's properties that would show how well yam tubers would take up six heavy metals (Pb, Cd, Cr, Cu, Ni, and Zn) in Wukari farmland soils. Soil and plant samples were collected from different locations within Wukari, and the physiochemical properties of the soils, along with the concentration of heavy metals, were determined. For the yam tubers, the samples were peeled, washed, dried, pulverized, and then analyzed for heavy metals with the atomic absorption spectrophotometer (AAS). Step-wise linear regression analysis was employed to develop a prediction model to estimate the potential uptake of heavy metals by yam tubers based on the soil properties. The results showed that the farmland sample soils are sandy loamy and slightly alkaline, with a mean pH of about 7.88. The prediction model demonstrated good performance in predicting the uptake of all six heavy metals, with R2 ranging from 0.683 (Pb) to 0.998 (Zn) in the fitted empirical model. This work's findings will provide other researchers with a cost-effective tool for assessing potential contamination based on readily available soil data.

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Article Details

How to Cite
Achimugu, A., Wansah, J. F., Emmanuel, O. G., John, J. J., & Bawa-Boyi, E. U. (2024). Prediction Model Based on Transfer Characteristics of Heavy Metals from Soils to Yam Tubers Grown in Wukari Farmland. African Journal of Biochemistry and Molecular Biology Research, 1(2), 867-879. https://doi.org/10.58578/ajbmbr.v1i2.3796

References

[1] Ekene, B., Floyd, A.C. & Michael, E. (2020). Heavy Metal Content of Yam (Dioscorea spp.)
Tubers Sold in Benin Metropolis, Benin. African Journal of Earth and Environmental Sciences, 2(2), 517-523.
[2] Sawidis, T., Breuste, J., Mitrovic, M., Pavlovic, P. & Tsigaridas, K. (2011). Trees as bio indicator of heavy metal pollution in three European cities. Environmental pollution, 159(12), 3560 -3570.
[3] Wilberforce, J.O. & Nwabue, F.I. (2013). Uptake of heavy metals by Dioscorea rotundata (White yam) and Ipomoea batatas (sweet potato) from enyigba lead-zinc derelict. Environment and Pollution, 2(2), 79 - 85.
[4] Dagne, B.B., Endale, T., Tesfahun, K. & Negash, D. (2019). Levels of some toxic heavy metals (Cr, Cd and Pb) in selected vegetables and soil around eastern industry zone, central Ethiopia. African Journal of Agricultural Research, 14(2), 92-101.
[5] Harrison, U.E., Osu, S.R. & Ekanem, J.O. (2018). Heavy metals accumulation in leaves and tubers of cassava (Manihot esculenta Crantz) grown in crude oil contaminated soil at Ikot Ada Udo, Nigeria. Journal of Applied Sciences and Environmental Management, 22(6), 845-851.
[6] Sarwar, T., Shahid, M., Khalid, S., Shah, A.H., Ahmad, N., Naeem, M.A. & Bakhat, H.F. (2020). Quantification and risk assessment of heavy metal build-up in soil–plant system after irrigation with untreated city wastewater in Vehari, Pakistan. Environmental geochemistry and health, 42(12), 4281-4297.
[7] Farooq, M., Anwar, F. & Rashid, U. (2008). Appraisal of heavy metal contents in different Vegetables grown in the vicinity of an industrial area. Pakistan Journal of Botany, 40(5), 2099-2106.
[8] Sankhla, M.S., Kumari, M., Nandan, M., Kumar, R. & Agrawal, P. (2016). Heavy metals Contamination in water and their hazardous effect on human health-a review. International Journal of Current Microbiology and Applied Sciences, (2016), 5(10), 759-766.
[9] Sharma, P., Parakh, S.K., Singh, S.P., Parra-Saldívar, R., Kim, S.H., Varjani, S. & Tong, Y.W. (2022). A critical review on microbes-based treatment strategies for mitigation of toxic pollutants. Science of the Total Environment, 834(4), 422- 456.
[10] Eid, E.M., Shaltout, K.H., Alamri, S.A.M., Alrumman, S.A., Hussain, A.A., Sewelam, N., El-Bebany, A.F., Alfarhan, A.H., Pico, Y. & Barcelo, D. (2021). Prediction models based on soil properties for evaluating the uptake of eight heavy metals by tomato plant (Lycopersicon esculentum Mill.) grown in agricultural soils amended with sewage sludge. Journal of Environmental Chemical Engineering, 9, 1059-77.
[11] Novotnà, M., Mikeš, O. & Komprdovà, K. (2015). Development and comparison of regression models for the uptake of metals into various field crops. Environmental Pollution, 207, 357–364.
[12] Kumar, V., Thakur, R. & Kumar, P. (2019). Assessment of heavy metals uptake by cauliflower (Brassica oleracea var. botrytis) grown in integrated industrial effluent irrigated soils: A prediction modeling study. Science Horticulture, 257, 108-682.
[13] Zeng, F., Ali, S., Zhang, H., Ouyang, Y., Qiu, B., Wu, F. & Zhang, G. (2011). The influence of pH and organic matter content in paddy soil on heavy metal availability and their uptake by rice plants. Environmental Pollution, 159, 84–91.
[14] Bešter, P.K., Lobnik, F. Erẑen, I., Kastelec, D. & Zupan, M. (2013). Prediction of cadmium concentration in selected home-produced vegetables. Ecotoxicology and Environmental Safety, 96, 182–190.
[15] Ejike, O.M., Wando, J.R., Juliet, O.I., Maduabuchi, O.C., John, I.A. and Uchenna, M.M. (2020). Assessment of radiation dose level in farm soils of mission quarters, Wukari, Taraba State, Nigerian. International Research Journal of Advanced Science, 1(2), 47-52.
[16] Mwegoha, W.J.S. and Kihampa, C. (2010). Heavy Metal Contamination in Agricultural Soils and Water in Dar es Salaam City, Tanzania. African Journal of Environmental Science and Technology, 4, 763-739.
[17] Chapman, E.E.V., Dave, G. & Murimboh, J.D. (2013). A review of metal (Pb and Z) sensitive and pH tolerant bioassay organisms for risk screening of metal-contaminated acidic soils. Environmental Pollution, 179, 326-342.
[18] Liu, K., Liu, H., Zhou, X., Chen, Z. & Wang, X. (2021). Prediction of cadmium transfer from soil to potato in karst soils, China. Frontiers in Environmental Science, 9, 1 - 7.
[19] Rafiq, M.T., Aziz, R., Yang, X., Xiao, W., Stoffella, P.J., Saghir, A. & Li, T. (2014). Phytoavailability of cadmium (Cd) to Pak choi (Brassica chinensis L.) grown in Chinese soils: A model to evaluate the impact of soil Cd pollution on potential dietary toxicity. PloS one, 9(11), 1 – 9.
[20] Hu, H.Y., Li, Z.J., Yao, F.E.N.G., Liu, Y.W., Xue, J.M., Davis, M. & Liang, Y.C. (2016). Prediction model for mercury transfer from soil to corn grain and its cross-species extrapolation. Journal of integrative agriculture, 15(10), 2393-2402.

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