Draft genome sequence of Xylaria sp., the causal agent of taproot decline of soybean in the southern United States

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Sandeep Sharma, Alex Z. Zaccaron, John B. Ridenour, Tom W. Allen, Kassie Conner, Vinson P. Doyle, Trey Price, Edward Sikora, Raghuwinder Singh, Terry Spurlock, Maria Tomaso-Peterson, Tessie Wilkerson, Burton H. Bluhm
The draft genome of Xylaria sp. isolate MSU_SB201401, causal agent of taproot decline of soybean in the southern U.S., is presented here. The genome assembly was 56.7Mb in size with an L50 of 246. A total of 10,880 putative protein-encoding genes were predicted, including 647 genes encoding carbohydrate-active enzymes and 1053 genes encoding secreted proteins. This is the first draft genome of a plant-pathogenic Xylaria sp. associated with soybean. The draft genome of Xylaria sp. isolate MSU_SB201401 will provide an important resource for future experiments to determine the molecular basis of pathogenesis.



http://ift.tt/2Dlv4WF

Spatially and temporally continuous estimates of annual total nitrogen deposition over North America, 1860–2013

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Robbie A. Hember
This report describes the North American Climate Integration and Diagnostics – Nitrogen Deposition Version 1 (NACID-NDEP1) database. The database contains estimates of annual total nitrogen (N) deposition for the purpose of supporting terrestrial ecosystem modelling in North America. It was constructed at 1-km resolution with coverage of Alaska, Canada, and the conterminous U.S., with continuous annual coverage from 1860 to 2013. Estimates were produced by acquiring and compiling best-available data sources: Wet N deposition was estimated from interpolation of monthly ammonium and nitrate concentration measurements and from grids of monthly precipitation. Dry N deposition was estimated from satellite measurements of ammonium and nitrogen oxides. Total N deposition for the pre-industrial era was derived from previous modelling studies. As these source datasets covered different time periods, several assumptions were required to produce a continuous record.



http://ift.tt/2mBawPJ

Data set on the bioprecipitation of sulfate and trivalent arsenic by acidophilic non-traditional sulfur reducing bacteria

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Letícia Paiva de Matos, Patrícia Freitas Costa, Mariana Moreira, Paula Cristine Silva Gomes, Silvana de Queiroz Silva, Leandro Vinícius Alves Gurgel, Mônica Cristina Teixeira
Data presented here are related to the original paper "Simultaneous removal of sulfate and arsenic using immobilized non-traditional sulfate reducing bacteria (SRB) mixed culture and alternative low-cost carbon sources" published by same authors (Matos et al., 2018) [1]. The data set here presented aims to facilitate this paper comprehension by giving readers some additional information. Data set includes a brief description of experimental conditions and the results obtained during both batch and semi-continuous reactors experiments. Data confirmed arsenic and sulfate were simultaneously removed under acidic pH by using a biological treatment based on the activity of a non-traditional sulfur reducing bacteria consortium. This microbial consortium was able to utilize glycerol, powdered chicken feathers as carbon donors, and proved to be resistant to arsenite up to 8.0mgL⁻¹. Data related to sulfate and arsenic removal efficiencies, residual arsenite and sulfate contents, pH and Eh measurements obtained under different experimental conditions were depicted in graphical format.Refers to http://ift.tt/2mCi2tH



http://ift.tt/2DlLvSV

MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Fereshteh S. Bashiri, Eric LaRose, Peggy Peissig, Ahmad P. Tafti
A fully-labeled image dataset provides a unique resource for reproducible research inquiries and data analyses in several computational fields, such as computer vision, machine learning and deep learning machine intelligence. With the present contribution, a large-scale fully-labeled image dataset is provided, and made publicly and freely available to the research community. The current dataset entitled MCIndoor20000 includes more than 20,000 digital images from three different indoor object categories, including doors, stairs, and hospital signs. To make a comprehensive dataset addressing current challenges that exist in indoor objects modeling, we cover a multiple set of variations in images, such as rotation, intra-class variation plus various noise models. The current dataset is freely and publicly available at http://ift.tt/2mBap6L.



http://ift.tt/2Dn28gQ

Dataset demonstrating effects of momentum transfer on sizing of current collector for lithium-ion batteries during laser cutting

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Dongkyoung Lee, Jyotirmoy Mazumder
Material properties of copper and aluminum required for the numerical simulation are presented. Electrodes used for the (paper) are depicted. This study describes the procedures of how penetration depth, width, and absorptivity are obtained from the simulation. In addition, a file format extracted from the simulation to visualize 3D distribution of temperature, velocity, and melt pool geometry is presented.



http://ift.tt/2DlPxKY

Fibroblast and keratinocyte gene expression following exposure to the extracts of holy basil plant (Ocimum tenuiflorum), malabar nut plant (Justicia adhatoda), and mblic myrobalan plant (Phyllanthus emblica)

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Takao Someya, Katsura Sano, Kotaro Hara, Yoshimasa Sagane, Toshihiro Watanabe, R.G.S. Wijesekara
This data article provides gene expression profiles, determined by using real-time PCR, of fibroblasts and keratinocytes treated with 0.01% and 0.001% extracts of holy basil plant (Ocimum tenuiflorum), sri lankan local name "maduruthala", 0.1% and 0.01% extracts of malabar nut plant (Justicia adhatoda), sri lankan local name "adayhoda" and 0.003% and 0.001% extracts of emblic myrobalan plant (Phyllanthus emblica), sri lankan local name "nelli", harvested in Sri Lanka. For fibroblasts, the dataset includes expression profiles for genes encoding hyaluronan synthase 1 (HAS1), hyaluronan synthase 2 (HAS2), hyaluronidase-1 (HYAL1), hyaluronidase-2 (HYAL2), versican, aggrecan, CD44, collagen, type I, alpha 1 (COL1A1), collagen, type III, alpha 1 (COL3A1), collagen, type VII, alpha 1 (COL7A1), matrix metalloproteinase 1 (MMP1), acid ceramidase, basic fibroblast growth factor (bFGF), fibroblast growth factor-7 (FGF7), vascular endothelial growth factor (VEGF), interleukin-1 alpha (IL-1α), cyclooxygenase-2 (cox2), transforming growth factor beta (TGF-β), and aquaporin 3 (AQP3). For keratinocytes, the expression profiles are for genes encoding HAS1, HAS2, HYAL1, HYAL2, versican, CD44, IL-1α, cox2, TGF-β, AQP3, Laminin5, collagen, type XVII, alpha 1 (COL17A1), integrin alpha-6 (ITGA6), ceramide synthase 3 (CERS3), elongation of very long chain fatty acids protein 1 (ELOVL1), elongation of very long chain fatty acids protein 4 (ELOVL4), filaggrin (FLG), transglutaminase 1 (TGM1), and keratin 1 (KRT1). The expression profiles are provided as bar graphs.



http://ift.tt/2mDUGUq

High-resolution dataset for building energy management systems applications

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Wessam El-Baz, Johannes Honold, Lukas Hardi, Peter Tzscheutschler
Modelling and optimization of energy management systems (EMS) require different data types for operation and validation. In this article, a multi-purpose dataset is provided for EMS applications. It includes PV measurement data for the PV generation and prediction algorithms associated with EMS systems. Weather data has also been measured at the same location for the optimization of PV prediction algorithms and other applications such as building model simulations. Moreover, the dataset contains detailed measurements of a seminar room where not only temperatures have been measured, but also user feedback for comfort assessment. All documented measurements have been gathered at the same location in Munich, Germany.



http://ift.tt/2DluVCB

Learning analytics for smart campus: Data on academic performances of engineering undergraduates in Nigerian private university

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Segun I. Popoola, Aderemi A. Atayero, Joke A. Badejo, Temitope M. John, Jonathan A. Odukoya, David O. Omole
Empirical measurement, monitoring, analysis, and reporting of learning outcomes in higher institutions of developing countries may lead to sustainable education in the region. In this data article, data about the academic performances of undergraduates that studied engineering programs at Covenant University, Nigeria are presented and analyzed. A total population sample of 1841 undergraduates that studied Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) within the year range of 2002–2014 are randomly selected. For the five-year study period of engineering program, Grade Point Average (GPA) and its cumulative value of each of the sample were obtained from the Department of Student Records and Academic Affairs. In order to encourage evidence-based research in learning analytics, detailed datasets are made publicly available in a Microsoft Excel spreadsheet file attached to this article. Descriptive statistics and frequency distributions of the academic performance data are presented in tables and graphs for easy data interpretations. In addition, one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests are performed to determine whether the variations in the academic performances are significant across the seven engineering programs. The data provided in this article will assist the global educational research community and regional policy makers to understand and optimize the learning environment towards the realization of smart campuses and sustainable education.



http://ift.tt/2mE8EFB

Effectiveness and ecotoxicity of zero-valent iron nanoparticles during rhizoremediation of soil contaminated with Zn, Cu, Cd and diesel

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Rafael G. Lacalle, María T. Gómez-Sagasti, Unai Artetxe, Carlos Garbisu, José M. Becerril
The remediation of soils simultaneously contaminated with organic and inorganic compounds is still a challenging task. The application of metallic nanoparticles, such as zero-valent iron nanoparticles (nZVI), for soil remediation is highly promising, but their effectiveness and potential ecotoxicity must be further investigated. In addition, the performance of nZVI when combined with other remediation strategies is a topic of great interest. Here, we present data on soil chemical (pseudo-total and CaCl2-extractable metal concentrations; petroleum hydrocarbon concentrations) and biological properties (microbial properties and phytotoxicity) after the application of nZVI to soil simultaneously contaminated with Zn, Cu, Cd and diesel, in the absence and presence of other remediation treatments such as the application of an organic amendment and the growth of Brassica napus plants. Soils were artificially contaminated with the abovementioned contaminants. Then, after an aging period of one month, nZVI were applied to the soil and, subsequently, B. napus seeds were sown. Plants were left to grow for one month. Soil samples were collected immediately after artificially contaminating the soil (T1), at sowing (T2) and at harvesting (T3). Overall, the application of nZVI had no effect on contaminant removal, nor on soil microbial parameters. In contrast, it did cause an indirect toxic effect on plant root elongation due to the interaction of nZVI with soil organic matter. These data are useful for researchers and companies interested in the effectiveness and ecotoxicity of zero-valent iron nanoparticles during the remediation of soil contaminated with metals and hydrocarbons, especially when combined with Gentle Remediation Options.



http://ift.tt/2Do6kxe

Data on corrosive water in the sources and distribution network of drinking water in north of Iran

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Javad Alimoradi, Dariush Naghipour, Hossein Kamani, Ghorban Asgari, Mohammad Naimi-Joubani, Seyed Davoud Ashrafi
This study aimed to determine the parameters of scaling and corrosion potential of drinking water in sources and distribution networks of water supply in two cities of north of Iran. The results of Amlash water sampels analysis in winter revealed that the average values of Langelier, Ryznar, Aggressive, Pockorius, and Larson- skold indices was −1.31, 9.73, 11.5, 9.74 and 0.24, respectively, but, in summer they were −1.51, 10.71, 11.36, 10.72 and 0.25, respectively. For Rudsar, the results of water sampels analysis in winter illustrated that the average values of Langelier, Ryznar, Aggressive, Pockorius, and Larson was −1.12, 9.69, 11.33, 9.19 and 0.16, respectively, while, in summer they were −1.05, 10.04, 11.92, 10.18 and 0.19, respectively. The beneficial of this data is showing the clear image of drinking water quality and can be useful for preventing the economical and safety problems relating to corrosion and scaling of drinking water.



http://ift.tt/2mC8mzk

The wildland-urban interface raster dataset of Catalonia

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Fermín J. Alcasena, Cody R. Evers, Cristina Vega-Garcia
We provide the wildland urban interface (WUI) map of the autonomous community of Catalonia (Northeastern Spain). The map encompasses an area of some 3.21 million ha and is presented as a 150-m resolution raster dataset. Individual housing location, structure density and vegetation cover data were used to spatially assess in detail the interface, intermix and dispersed rural WUI communities with a geographical information system. Most WUI areas concentrate in the coastal belt where suburban sprawl has occurred nearby or within unmanaged forests. This geospatial information data provides an approximation of residential housing potential for loss given a wildfire, and represents a valuable contribution to assist landscape and urban planning in the region.



http://ift.tt/2DjmyHP

Data collected in an integrated ecological survey of rotifer communities and corresponding environmental variables in the highly polluted Haihe River Basin, China

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Wei Xiong, Jie Li, Yuzhan Yang, Weimin Wang, Baoqing Shan, Aibin Zhan
Here we presented two datasets (biological and environmental datasets) collected in a comprehensive large geographical scale (approximately 1.1×10⁵ km²) survey of rivers/streams in the Haihe River Basin (HRB), which has become the most polluted river basin in past two decades in China. The survey selected a total of 94 representative sampling sites in the plain region of HRB, where environmental pollution is more severe than the mountain region. The biological dataset contains the information on the identified rotifer species and their abundance, while the environmental dataset provides the measured environmental variables at each sampling site. Based on this ecological survey, we identified a total of 91 rotifer species and their abundance, as well as abundance of two crucial taxonomic groups on rotifers' food webs (i.e., protozoans and crustaceans), and also presented seven environmental variables, particularly those associated with nitrogen and phosphorus pollution.



http://ift.tt/2mDlfsI

Data on assessment of groundwater quality for drinking and irrigation in rural area Sarpol-e Zahab city, Kermanshah province, Iran

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Hamed Soleimani, Abbas Abbasnia, Mahmood Yousefi, Ali Akbar Mohammadi, Fazlollah Changani Khorasgani
In present study 30 groundwater samples were collected from Sarpol-e Zahab area, Kermanshah province of Iran in order to assess the quality of groundwater in subjected area and determining its suitability for drinking and agricultural purposes. Also the variations in the quality levels of groundwater were compared over the years of 2015 and 2016. Statistical analyses including Spearman correlation coefficients and factor analysis display good correlation between physicochemical parameters (EC, TDS and TH) and Na⁺, Mg²⁺, Ca²⁺, Cl⁻ and SO42− ionic constituents. Also in order to assess water quality for irrigation we used the United States Department of Agriculture (USDA) classification which is based on SAR for irrigation suitability assessment. In addition, the residual sodium carbonate (RSC), %Na, PI, KR, SSP, MH, EC characteristics were calculated for all samples and used for assessment of irrigation suitability. Based on these indicators, for every two years, the quality of water for agriculture is in good and excellent category. The Piper classification for hydro geochemical facies indicates that the water in the study area is of Ca-HCO3⁻ type. However, the study of water hardness shows that more than 80% of samples are in hard and very hard water class. Therefore, there is a need for decisions to refine and soften the water.



http://ift.tt/2Do6jcE

Data on genome sequencing, analysis and annotation of a pathogenic Bacillus cereus 062011msu

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Rashmi Rathy, Sayan Paul, Vasanthakumar Ponesakki, Paulkumar Kanniah, Suriya Prabha Muthu, Arun Arumugaperumal, Emmanuel Joshua Jebasingh Sathiya Balasingh Thangapandi, Subburathinam Balakrishnan, Rajendhran Jeyaprakash, Sudhakar Sivasubramaniam
Bacillus species 062011 msu is a harmful pathogenic strain responsible for causing abscessation in sheep and goat population studied by Mariappan et al. (2012) [1]. The organism specifically targets the female sheep and goat population and results in the reduction of milk and meat production. In the present study, we have performed the whole genome sequencing of the pathogenic isolate using the Ion Torrent sequencing platform and generated 458,944 raw reads with an average length of 198.2bp. The genome sequence was assembled, annotated and analysed for the genetic islands, metabolic pathways, orthologous groups, virulence factors and antibiotic resistance genes associated with the pathogen. Simultaneously the 16S rRNA sequencing study and genome sequence comparison data confirmed that the strain belongs to the species Bacillus cereus and exhibits 99% sequence homo;logy with the genomes of B. cereus ATCC 10987 and B. cereus FRI-35. Hence, we have renamed the organism as Bacillus cereus 062011msu. The Whole Genome Shotgun (WGS) project has been deposited at DDBJ/ENA/GenBank under the accession NTMF00000000 (http://ift.tt/2DozBYF).



http://ift.tt/2mDHNcR

Draft genome sequence of Brevibacterium epidermidis EZ-K02 isolated from nitrocellulose-contaminated wastewater environments

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Elvira E. Ziganshina, Waleed S. Mohammed, Swapnil P. Doijad, Elena I. Shagimardanova, Natalia E. Gogoleva, Ayrat M. Ziganshin
Brevibacterium spp. are aerobic, nonbranched, asporogenous, gram-positive, rod-shaped bacteria which may exhibit a rod-coccus cycle when cells get older and can be found in various environments. ​Several Brevibacterium species have industrial importance and are capable of biotransformation of various contaminants. Here we describe the draft genome sequence of Brevibacterium epidermidis EZ-K02 isolated from nitrocellulose-contaminated wastewater environments. The genome comprises 3,885,924bp, with a G + C content of 64.2%. This whole genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession PDHL00000000.



http://ift.tt/2mE8CNZ

New record of nuclear DNA amounts of some Zingiberaceae species from North east India

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Supriyo Basak, Latha Rangan
Members of the family Zingiberaceae are important medicinal plants and have great economic significance. Some taxonomic issues are still pending within the family and the genome size estimates of many species are still very scarce. Therefore, studies concerning genome size can provide complementary data that may be useful to characterize the family on whole. Genome size estimate have been used to characterize four Northeast Indian taxa of the family Zingiberaceae occurring in the wild in addition to that of a sacred cultivated species. In this data article we have provided genome size estimates of four species based on flow cytometry for the first time. This data will be valuable for genomic and molecular authentication of these species for all future studies.



http://ift.tt/2DjResy

Molecular and morphological data to facilitate future research on freshwater mussels (Bivalvia: Unionidae: Anodontinae)

Publication date: April 2018
Source:Data in Brief, Volume 17
Author(s): Chase H. Smith, Nathan A. Johnson, John M. Pfeiffer, Michael M. Gangloff
This data article presents the multi-locus DNA alignments, morphometric data, and details on specimens examined to resolve the evolutionary history of Anodontoides and Strophitus, primarily generic placement and species boundaries. We sequenced 3 loci to create our molecular matrix: cytochrome c oxidase subunit I, NADH dehydrogenase subunit I, and the nuclear-encoded ribosomal internal transcribed spacer I. Aligned sequences were used in phylogenetic analyses and to identify diagnostic nucleotides for Strophitus pascagoulaensis, Strophitus radiatus, Strophitus sp. cf. pascagoulaensis, and Strophitus williamsi. Linear morphometrics (i.e. maximum height, length, and width) were also implemented to further evaluate species boundaries within Strophitus. For further details and experimental findings, please refer to the article published in Molecular Phylogenetics and Evolution (Smith et al., 2018) [1].



http://ift.tt/2mCsMYI

Successful Treatment of Autoimmune Urticaria with Low-Dose Prednisolone Therapy Administered for a Few Months: A Case Series of 42 Patients

Background: Chronic spontaneous urticaria (CSU) is defined as symptoms of urticaria persisting for 6 weeks or more without obvious cause. Autologous serum skin test (ASST) positivity in patients with CSU is considered to be associated with autoimmune urticaria (AIU). Methods: In this retrospective study we retrieved the medical records of 1,073 urticaria patients seen at the Department of Dermatology and Allergology of Szeged University between January 2005 and February 2014. Forty-two patients (36 female and 6 male) met the study criteria by having CSU and giving positive results in the ASST. Our aim was to assess the clinical efficacy and safety of low-dose oral prednisolone therapy administered to patients with antihistamine-refractory ASST-positive CSU for a few months. Patients were given an initial dose (40 mg/day) of prednisolone until the complete resolution of the symptoms, usually 7-10 days, and then the dose was gradually decreased, as in other autoimmune diseases. Results: Prednisolone therapy lasted for an average of 3.6 months and a complete long-lasting response was achieved in 35 of 42 AIU patients (83.3%). The follow-up period was at least 36 months (3 years) for each AIU patient; the longest follow-up time was 139 months (11.5 years). None of the patients reported any considerable side effects. Conclusion: Based on our results, we suggest that the use of this treatment could be an alternative for the treatment of AIU. Our present results also highlight the need for other therapies in a small percentage of AIU patients. Our results suggest that AIU represents a transient autoimmunity that can be successfully treated with low-dose steroid therapy administered for a few months.
Dermatology

http://ift.tt/2D9UhAb

Prognostic implications of the co-detection of the urokinase plasminogen activator system and osteopontin in patients with non-small-cell lung cancer undergoing radiotherapy and correlation with gross tumor volume

Abstract

Background

The urokinase plasminogen activator system (uPA, uPAR, PAI‑1) is upregulated in cancer and high plasma levels are associated with poor prognosis. Their interaction with hypoxia-related osteopontin (OPN) which is also overexpressed in malignant tumors suggests potential clinical relevance. However, the prognostic role of the uPA system in the radiotherapy (RT) of non-small-cell lung cancer (NSCLC), particularly in combination with OPN, has not been investigated so far.

Methods

uPA, uPAR, PAI‑1 and OPN plasma levels of 81 patients with locally advanced or metastasized NSCLC were prospectively analyzed by ELISA before RT and were correlated to clinical patient/tumor data and prognosis after RT.

Results

uPAR plasma levels were higher in M1; uPA and PAI‑1 levels were higher in M0 NSCLC patients. uPAR correlated with uPA (p < 0.001) which also correlated with PAI‑1 (p < 0.001). The prognostic impact of OPN plasma levels in the RT of NSCLC was previously reported by our group. PAI‑I plasma levels significantly impacted overall (OS) and progression-free survival (PFS). Low PAI‑1 levels were associated with a significantly reduced OS and PFS with a nearly 2‑fold increased risk of death (p = 0.029) and tumor progression (p = 0.029). In multivariate analysis, PAI‑1 levels remained an independent prognostic factor for OS and PFS with a 3‑fold increased risk of death (p = 0.001). If PAI‑1 plasma levels were combined with OPN or tumor volume, we found an additive prognostic impact on OS and PFS with a 2.5- to 3‑fold increased risk of death (p = 0.01).

Conclusion

Our results suggest that PAI-1 but not uPA and uPAR might add prognostic information in patients with advanced NSCLC undergoing RT. High pretreatment PAI-1 plasma levels were found predominantly in M0-stage patients and indicate a favorable prognosis as opposed to OPN where high plasma levels are associated with poor survival and metastasis. In combination, PAI-1 and OPN levels successfully predicted outcome and additively correlated with prognosis. These findings support the notion of an antidromic prognostic impact of OPN and PAI-1 plasma levels in the RT of advanced NSCLC.

http://ift.tt/2ENgQe9

Trace element phytoextraction from contaminated soil: a case study under Mediterranean climate

Abstract

The current field study aims to assess the suitability of four different plant species (i.e. poplar, willow, hemp and alfalfa) to be used for trace element (TE) (i.e. Cd, Cu, Ni, Pb and Zn) phytoextraction under hot-arid Mediterranean climate conditions. Plants were grown for two consecutive years on a moderate TE contaminated soil, supplied with water and mineral nutrients. The growth and physiological parameters were assessed throughout the trial to compare the response of plants to the environmental pollution, and TE uptake rates were measured for aboveground plant tissues. The phytoextraction rate for each species was expressed as a function of aboveground biomass yield and the TE uptake and translocation within the plant. Alfalfa played a significant role in reducing extractable Ni (60.6%) and Zn (46%) in the soil, whereas hemp reduced 32% of extractable Cd and 46% of extractable Pb; poplar decreased extractable Cd (37%), Ni (49%), Pb (46%) and Zn (63%); and willow reduced the extractable Zn (73%) compared to the beginning of the trial. No change in total TE content was observed; however, poplar and willow were able to extract and accumulate the highest amount of Zn (3200 and 5200 g ha⁻¹ year⁻¹ respectively) and Cu (182 and 116 g ha⁻¹ year⁻¹), whereas hemp, with 36 g ha⁻¹ year⁻¹, showed the best phytoextraction potential for Pb. Overall, we found a positive correlation between the phytoextraction rate and biomass yield, extractable TE concentration and translocation factor (TF) and a negative relationship with Ca concentration in the soil.

http://ift.tt/2B5USB7