2016
DOI: 10.1002/jpln.201600022
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Plant uptake of metals, transfer factors and prediction model for two contaminated regions of Kosovo

Abstract: The bioavailability and plant uptake of heavy metals (HM), as well as finding the most reliable methods for the prediction of availability, continues to be one of the most crucial problems in agricultural and environmental studies. In agricultural soils from two regions in Kosovo, known for its metal pollution, we collected 60 soil and plant samples (wheat, corn, potatoes, and grass). Heavy metals were extracted from soil with aqua regia (pseudototal concentration), NH4OAc‐EDTA (potential bioavailable), and NH… Show more

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Cited by 16 publications
(7 citation statements)
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“…Comparable results were obtained in the study conducted by Salwa et al These results support the concept that nonessential metals can have high affinity for sulfhydryl groups and can bind to reduced cysteines in peptides and proteins (67, 68,69,70). The current findings also support the data obtained by other researchers related to environmental pollution with metals and their effects on living organisms in the regions of Mitrovica and Obiliq (40, 65,71).…”
Section: Zincsupporting
confidence: 92%
“…Comparable results were obtained in the study conducted by Salwa et al These results support the concept that nonessential metals can have high affinity for sulfhydryl groups and can bind to reduced cysteines in peptides and proteins (67, 68,69,70). The current findings also support the data obtained by other researchers related to environmental pollution with metals and their effects on living organisms in the regions of Mitrovica and Obiliq (40, 65,71).…”
Section: Zincsupporting
confidence: 92%
“…The model for pakchoi copper can be described by the EDTA-extractable copper concentration with an R square of 0.5747 (Table 3 and Figure 5C), whereas the model for garland chrysanthemum utilizes an HCl-extractable copper concentration with an R square of 0.7239 (Table 3 and Figure 5D). The fitness of these models is comparable with the published multiple regression models for copper, zinc and nickel uptake by barley, wheat and corn [34][35][36]. For example, copper prediction models for barley roots derived from CaCl 2 -and low-molecular-weight organic acids-extractable copper have R squares from 0.617 to 0.801 [34].…”
Section: Regression Models For Crop Copper Concentrationssupporting
confidence: 59%
“…A cadmium prediction model based on Na 4 P 2 O 7 -extractable cadmium and solubilized organic carbon for Durum Wheat grain shows 74% of fitness [35]. A copper prediction model for copper concentration in potato tubers shows an R square of 0.541 [36].…”
Section: Regression Models For Crop Copper Concentrationsmentioning
confidence: 99%
“…Bioavailability of heavy metals had been regarded as one of the most crucial issues in agricultural and environmental studies [70], where heavy metals were considered to be bio-absorbed or toxic to organisms [71]. Bioavailability of heavy metals in compost was closely related to the morphology [24,72].…”
Section: Impact Of Biochar Application On the Bioavailability Of Heavmentioning
confidence: 99%