Status of trace elements in agricultural soils of Bangladesh and relationship with soil properties

The use of untreated urban wastes and domestic sewage contaminated water for the irrigation of agricultural soils is on the rise particularly in the developing countries and is a public health concern with regards to the consumption of vegetables and fruits produced in them which may indirectly accumulate heavy metals in their edible portions. Using the atomic absorption spectrophotometry (AAS), concentrations of Ca, Mg, Na, K (essential bulk elements), Pb, Cd, Cr, Ni, Cu, Zn, Co and Fe (trace elements) were determined in 3 designated areas within the catchment area of River Jakara in Kano Nigeria. Samples were collected from two depths 0-15cm and 15-30cm to cover both dry and wet seasons. The mean concentrations of elements obtained ranged from 0.026 mg/g Cd to 46.83 mg/g Fe and occurred in the magnitude of Fe > Ca > K > Na > Pb >Zn > Co > Cu >Cr > Ni > Cd. The concentrations of the trace elements in the soils in the two depths exceeded the international recommended permissible limits establishing the pollution of the irrigation soils with the trace elements investigated. Based on the findings, it is recommended among others that the relevant organ of government should find an alternative farmland for the farmers within the catchment area of River Jakara where unpolluted waste sources can be utilized for the irrigation of vegetables.

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Spectroscopic Determination of Some Trace Elements as Pollutants in Fruit Dates Palm and Agricultural Soils at Zilfi Province

Science Journal of Analytical Chemistry ◽

10.11648/j.sjac.20140203.11 ◽

2014 ◽

Vol 2 (3) ◽

pp. 11 ◽

Cited By ~ 2

Author(s):

Nawal Mahgoub Suleman

Keyword(s):

Trace Elements ◽

Agricultural Soils ◽

Spectroscopic Determination

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Bioconcentration, Potential Health Risks, and a Receptor Prediction Model of Metal(loid)s in a Particular Agro-Ecological Area

Applied Sciences ◽

10.3390/app9091902 ◽

2019 ◽

Vol 9 (9) ◽

pp. 1902 ◽

Cited By ~ 1

Author(s):

Kui Cai ◽

Zefeng Song

Keyword(s):

Health Risk ◽

Prediction Model ◽

Soil Properties ◽

Health Risks ◽

Agricultural Soils ◽

Hazard Quotient ◽

Target Hazard Quotient ◽

Potential Health ◽

Food Structure ◽

Accumulation Index

To investigate the bioconcentration and potential health risks of metal(loid)s in a particular agro-ecological area, 230 pairs of soil and corresponding crop grain samples were collected from typical corn and wheat plants. The geo-accumulation index (Igeo), bioconcentration factors (BCF), health risk assessment (the target hazard quotient), and Receptor Prediction Model (PCS-SMLR) analysis were adopted to study the spatial distribution, assess the health risks, and predict the relationship between metal(loid)s and soil properties. It was found that the mean concentrations of Cu, Zn, Pb, Hg, and Cd in the study area’s agricultural soils exceeded the background soil concentrations, especially for Cd (0.2 mg/kg), Meanwhile, the corresponding Cd concentration in wheat samples was higher than the food quality limit. The results of the Igeo showed that the samples with a value higher than 0 for Cd and Hg accounted for 47.83% and 33.48%, respectively. The results of BCF of Cu, Zn, Cd, and As were higher in wheat than in corn, except for Ni. The target hazard quotient (TTHQ) of health risk of wheat, corn, and soil were higher for children (2.48) than adults (1.78), showing a potential health risk for individuals who mostly consume wheat. In addition, the PCS-SMLR analysis of the BCF prediction model for Cu, Zn, As, and soil properties showed differences in terms of the influences from wheat and corn. These results provide valuable information that not only can help local residents improve the staple food structure, but also can get provide a reference metal(loid)s concentration level for agricultural soils in the study area and restore a sustainable agro-ecological environment.

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Soil Nutrients Effects on the Performance of Durum Wheat Inoculated with Entomopathogenic Fungi

Agronomy ◽

10.3390/agronomy10040589 ◽

2020 ◽

Vol 10 (4) ◽

pp. 589

Author(s):

Adrián González-Guzmán ◽

Daniel Sacristán ◽

Antonio Rafael Sánchez-Rodríguez ◽

Vidal Barrón ◽

José Torrent ◽

...

Keyword(s):

Grain Yield ◽

Soil Properties ◽

Entomopathogenic Fungi ◽

Dry Matter ◽

Agricultural Soils ◽

Nutrient Concentrations ◽

Available Phosphorus ◽

Soil Available Phosphorus ◽

Mutualistic Relationship ◽

Fungal Inoculation

Entomopathogenic fungi (EFs) are widely used as biological control agents. However, some strains of Beauveria bassiana and Metarhizium brunneum can also promote plant growth and increase nutrient uptake. We examined the effects of soil properties on the performance of Triticum durum inoculated by seed dressing with these EFs and grown on 12 agricultural soils. The plants were supplied with all nutrients except P and Zn (essential for yield and the grain quality of wheat). Fungal inoculation increased the grain yield and harvest index significantly with B. bassiana (17% and 14%, respectively) but not with M. brunneum (6% and 6%, respectively). The increase in grain yield was positively and moderately correlated with the soil available phosphorus (POlsen) in plants inoculated with B. bassiana and with the soil content in poorly crystalline Fe oxides with M. brunneum. In addition, the increase in aerial dry matter resulting from inoculation with B. bassiana was negatively correlated with soil available Zn. Furthermore, the observed increase in grain yields due to fungal inoculation resulted in P and Zn grain dilution (grain nutrient concentrations decrease). Inoculation with B. bassiana increased grain Zn uptake and the proportion of Zn in grain relative to that in aerial dry matter. Success in the mutualistic relationship between EF and wheat plants depends on the fungal strain and soil properties.

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Mobilization and Leaching of Trace Elements (Fe, Al and Mn) in Agricultural Soils as Affected by Simulated Acid Rain

Asian Journal of Chemistry ◽

10.14233/ajchem.2013.15560 ◽

2013 ◽

Vol 25 (17) ◽

pp. 9891-9896 ◽

Cited By ~ 1

Author(s):

Rab Nawaz ◽

Preeda Parkpian ◽

Muhammad Arshad ◽

Farooq Ahmad ◽

Hathairatana Garivait ◽

...

Keyword(s):

Trace Elements ◽

Acid Rain ◽

Agricultural Soils ◽

Simulated Acid Rain

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Separation of soil and canopy reflectance signatures of Mid German agricultural soils

Plant Soil and Environment ◽

10.17221/3589-pse ◽

2011 ◽

Vol 51 (No, 7) ◽

pp. 296-303 ◽

Cited By ~ 1

Author(s):

T. Behrens ◽

K. Gregor ◽

W. Diepenbrock

Keyword(s):

Remote Sensing ◽

Soil Properties ◽

Water Content ◽

Soil Water ◽

Soil Water Content ◽

Vegetation Index ◽

Near Infrared ◽

Field Experiments ◽

Agricultural Soils ◽

Soil Reflectance

Remote sensing can provide visual indications of crop growth during production season. In past, spectral optical estimations were well performed in the ability to be correlated with crop and soil properties but were not consistent within the whole production season. To better quantify vegetation properties gathered via remote sensing, models of soil reflectance under changing moisture conditions are needed. Signatures of reflected radiation were acquired for several Mid German agricultural soils in laboratory and field experiments. Results were evaluated at near-infrared spectral region at the wavelength of 850 nm. The selected soils represented different soil colors and brightness values reflecting a broad range of soil properties. At the wavelength of 850 nm soil reflectance ranged between 10% (black peat) and 74% (white quartz sand). The reflectance of topsoils varied from 21% to 32%. An interrelation was found between soil brightness rating values and spectral optical reflectance values in form of a linear regression. Increases of soil water content from 0% to 25% decreased signatures of soil reflectance at 850 nm of two different soil types about 40%. The interrelation of soil reflectance and soil moisture revealed a non-linear exponential function. Using knowledge of the individual signature of soil reflectance as well as the soil water content at the measurement, soil reflectance could be predicted. As a result, a clear separation is established between soil reflectance and reflectance of the vegetation cover if the vegetation index is known.

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