An ethnobotanical research in Şanlıurfa central district and attached villages (Turkey)

The objective of present study is to identify the plants traditionally utilized by local communities, who reside at the rural areas attached to Central District of Şanlıurfa located in Southeast Anatolia Region, for various purposes, and to reveal the significant of such use in terms of ethnobotany. The study conducted in this respect identified 137 taxa of 87 genera from 47 families (86 species, 34 sub-species, and 17 varieties), 21 of them are cultigens. 1 taxon is from Terfeziaceae of Ascomycota division of Fungi kingdom, while the others are from Gymnospermae and Angiospermae sub-division of Spermatophyte division from the Plantae kingdom. In general, local community utilizes taxa identified in field of study as follows: 56 taxa as food, 37 as medicinal purposes, 5 for belief, 5 for pests, 4 as household goods, 3 as seasoning, 3 as ornaments, 3 as cosmetics, 2 as beverages, 2 as knick-knack, 2 as fuel, 2 as building materials, 1 as dulling, 1 as canopy, 1 as aphrodisiac, 1 as clarifying, 1 as repellent, 1 as doddle, 1 as preventive and 1 as aroma. Moreover, 11 taxa are not utilized, but 7 of them are known by their local names and 4 with their harmful effects. © 2020, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.13152We hereby acknowledge Harran University Scientific Research Committee (Project No: 13152) for offering financial support and Hakkı Sazak, Survey Technician, for drawing the map of the study area

Seed priming with melatonin effects on growth, essential oil compounds and antioxidant activity of basil (Ocimum basilicum L.) under salinity stress

Melatonin has been reported to exhibit significant functions in plant growth and development in response stress conditions. Along with the present study, the effects of melatonin priming on plant growth and development, essential oil, phenolic acids and antioxidant activities of basil (Ocimum basilicum L.) under salinity were examined. In this context, the seeds were firstly primed with 1 and 10 µM melatonin and subsequently plants were exposed to salinity stress from 100 mM NaCl. The results showed that salinity decreased all growth parameters except leaf number and melatonin treatments were effective in all parameters under stress groupsbut depending on the dose applied. According to GC–MS/FID results, of the major compounds, eugenol and methly eugenol exhibited decreases whereas linalool increased under salinity. Furthermore, rosmarinic acid, cichoric acid and caffeic acid were identified as major phenolics with HPLC analyses. Under salinity, rosmarinic acid was not detected, cichoric and caffeic acids were decreased while 10 µM melatonin treatments increased all phenolic acids. Salt stress and melatonin applications except salinity with 10 µM melatonin decreased DPPH antioxidant activity, total phenolics and total flavonoids. The salinity with 10 µM melatonin addition favoured for total phenolics and flavonoids. © 2020 Elsevier B.V

Influence of some ß-lactam drugs on selected antioxidant enzyme and lipid peroxidation levels in different rat tissues

PubMed: 31060396Antioxidant enzymes play an important role in body defense and free radical removal. Cephalosporins are ß-lactam antibiotics. In this work, the effects of cefazolin, cefuroxime and cefoperazone which are cephalosporins on some selected antioxidant enzyme and levels of malondialdehyde (MDA) as lipid peroxidation product were investigated in kidney, liver, and brain tissues of albino female rats. Ninety-six albino rats were randomly divided into 16 groups of equal number (n = 6). 50 mg/kg cefazolin, 25 mg/kg cefuroxime, and 100 mg/kg cefoperazone were injected intraperitoneally to the groups (5th–8th and 9th–12th, and 13th–16th groups), respectively. The changes in glutathione reductase (GR), glutathione S-transferase (GST), superoxide dismutase (SOD), peroxidase (POD), and glutathione peroxidase (GSH-Px) levels were studied in each time point group and a time-dependent manner (at the 1st, 3rd, 5th and 7th hour). In addition, MDA levels were examined in all the tissues. The drugs evaluated in this study had different effects on the same enzyme in different tissues depending on time. MDA levels especially in cefazolin and cefoperazone experiments were lower in all the tissues; however, MDA levels were higher in brain and kidney tissues in the cefuroxime groups in a time-dependent manner (p < 0.05). These results revealed the complex effects of the tested drugs on different tissues at different time points. Therefore, the dose and use of these drugs should be adjusted correctly. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.2018-SBE-A11This study was supported by Scientific Research Fund of I?d?r University. Project Number: 2018-SBE-A11

Multi-criteria decision-making in the location selection for a solar PV power plant using AHP (vol 129, pg 218, 2018)

WOS: 000509460000017

VEGETATIVE COMPATIBILITY GROUPS AND PATHOGENICITY OF VERTICILLIUM DAHLIAE ISOLATES FROM STRAWBERRY PLANTS IN ERZURUM AND ERZINCAN PROVINCES, TURKEY

WOS: 000509426700053This study was conducted in order to investigate the vegetative compatibility groups (VCGs) and the pathogenicity of Verticillium dahliae isolates from strawberry plants in Erzurum and Erzincan provinces during 2008-2010. As a result of isolations, two hundred two V. dahliae isolates were isolated from strawberry plants. The vegetative compatibility groups of the isolates were determined using nitrate-nonutilizing (nit) mutants. A total of 881 mutants were produced from the isolates, and classified as nit1 (781 mutants) and nitM (100 mutants). As a result of complementation test with international tester isolates, 148 isolates were assigned to VCG2B, 32 isolates to VCG4B and 13 isolates to VCG2A, whereas 9 isolates were incompatible with tester isolates. Pathogenicity experiments were tested on strawberry (cv. Fern) by the root-tip method. It was identified that VCG2A isolates were more aggressive than VCG4B and VCG2B isolates. This is the first report of VCGs of V. dahliae isolates from strawberry plants in Turkey.Department of Scientific Research Project Management of Ataturk University [BAP-2010/52]This article was prepared from a part of the first author's PhD thesis and supported by Department of Scientific Research Project Management of Ataturk University (Project number is BAP-2010/52). Abstract of a part of this publication is presented at the 1st International Conference on Food Agriculture and Animal Sciences (ICOFAAS 2018) in Turkey

Modeling air pollution levels in volcanic geological regional properties and microclimatic conditions

Air pollution was predicted in this study by using multiple linear regression and 42 different artificial neural network models in Iğdır/Turkey. Daily air quality data for the years 2016–2018 have been used in the modeling. In the prediction of the particulate matter which has 10 µm or less in diameter (PM10) concentration, sulfur dioxide, nitrogen oxides, nitrogen monoxide, ozone, nitrogen dioxide, relative humidity, air pressure, wind direction and wind speed data were used as input parameters. In the artificial neural network structures, two different learning functions, three different transfer functions and seven different neuron numbers were examined in the MATLAB software. According to results, multiple linear regression did not predict the PM10 concentration in the atmosphere. The R2 value was determined as 0.543 for the multiple linear regression. In this model, the RMSE, MAE and R2 were determined as 0.0488, 0.0248 and 0.9826, respectively. Since the R2 value in this model was quite high, it was concluded that the model is suitable for the prediction of PM10 concentration. © 2020, Islamic Azad University (IAU)

Bimetallic palladium-cobalt nanomaterials as highly efficient catalysts for dehydrocoupling of dimethylamine borane

In this work, we report the synthesis, characterization and application of graphene oxide stabilized PdCo nanoparticles (PdCo@GO) for the dehydrocoupling of dimethylamine borane (DMAB) as a model reaction. Bimetallic graphene oxide stabilized PdCo nanoparticles were readily synthesized using an ultrasonic reduction technique, in which both metals of Pd and Co were reduced with GO. The dispersion of PdCo nanoparticles on the surface of GO was enhanced with the help of the ultrasonic reduction method which result in the enhancing of dispersion of both metals without any agglomeration problem. The characterization studies revealed that graphene oxide stabilized PdCo nanoparticles have a uniform, homogeneous distribution on graphene oxide and an average particle size of 3.48 ± 0.22 nm. After fully characterization of graphene oxide stabilized PdCo nanoparticles, they have been tried in model reaction as a catalyst and exhibited a high catalytic performance compared the previous catalysts in literature with a TOF value of 226.80 h-1. The investigation of kinetic parameters showed that graphene oxide stabilized PdCo nanoparticles have very high negative entropy (?S: -170.85 J mol-1 K-1) value and a low activation energy value (Ea: 17.53 ± 2 kJ mol-1) for the model reaction. © 2019 Hydrogen Energy Publications LLC2014-05The authors would like to thank Kutahya Dumlupinar University ( 2014-05 ) for financial support. Appendix

Examination of Different Reading Strategies with Eye Tracking Measures in Paragraph Questions

WOS: 000508544900006This study aims at investigating the effects of two different test-taking strategies on reading achievement, dwell time, fixation counts and number of regressions on area of interests (AOIs) of the multiple choice reading comprehension questions with different type and difficulty levels. In this true experimental study, 28 subjects are randomly assigned into two groups. While subjects in stem first strategy (S-FS) group read the question stem first, subjects in paragraph first strategy group (P-FS) read paragraph first. Results of this study show that dwell time, fixation counts, and number of regressions on question stem AOIs in the S-FS group are significantly higher than the P-FS group. As a result, contrary to the common recommendations in practice, reading the question stem first provides no advantage in terms of reading achievement and dwell time as expected. Moreover, the S-FS significantly increases dwell time, fixation counts, and number of regressions on question stem AOIs

Changes in growth parameter and essential oil composition of sage (Salvia officinalis L.) leaves in response to various salt stresses

Salt stress imposes major limitations on the growth, development, crop productivity, and quality in many regions of the world. Therefore, the studies concerned with salinity and its effects on plants are of the fundamental interests for agricultural issues. Herein, the present study was designed to investigate the effects of different salt compounds (NaCl, KCl, MgSO4, MgCl2, Na2SO4, and CaCl2) with different salinity levels (0, 50, 100, 150, and 200 mM) on growth and leaf essential composition of sage (Salvia officinalis L.). In this context, sage seedlings were irrigated with different salinity levels for forty-days. Concerning the composition, twenty-two compounds were collectively identified using gas-chromatography coupled with headspace system. Of those compounds (over 5% content), ?-pinene, camphene, 1, 8-cineole, ?-thujone, ß-thujone, and camphor are of the major compounds. Along with the study, ?-pinene and camphor percentages increased under all salt stress but depending concentration and salt compound. The percentage of camphene was also augmented under all stress types except CaCl2 treatment whereas ß-thujone percentage increased except MgCl2 treatment. Moreover, NaCl and KCl treatments decreased the percentage of ?-thujone while other treatments caused an increase in the percentage. 1,8-cineole percentage was not influenced by NaCl treatments. However, CaCl2 and MgCl2 treatments decreased the percentage of 1,8-cineole whereas other salt treatments increased the percentage of the compound. It should be emphasized that the degree and severity of the stress were also variable according to the treatments and compounds. Herewith the study, due to the high number of treatments and compounds identified, principal component analysis was applied to reduce, discriminate and identify the treatments according to their effects on essential components. The results were well clarified, visualized and discriminated according to the treatments. As a conclusion, the chemical composition of the common sage was found to be strongly affected by salt treatments and concentration of the salt compounds because each salt treatment with their concentration induced different new chemotypes in essential oil composition of common sage. The results also suggest the plausible role of metabolites in response to the changing environmental conditions. © 2019 Elsevier B.V

Analysis of macro nutrient related growth responses using multivariate adaptive regression splines

Strawberry micropropagation is generally based on Murashige and Skoog mineral salts, and many cultivars grow well on this medium. However, the diverse species found in germplasm collections often do not thrive, which indicates a need to optimize the mineral nutrients. In this study, Multivariate Adaptive Regression Splines (MARS), was employed to predict shoot quality, multiplication, and leaf color responses of three strawberry species in response to the major tissue culture nutrients by generating functional associations. MARS is a non-parametric approach that can be used to deal with continuous and categorical data without requiring the strict distributional assumptions of the basic linear models. The MARS algorithm is capable of capturing non-linear patterns between the input and target variables. NH4NO3, CaCl2·2H2O, MgSO4·7H2O, KNO3 and KH2PO4 were tested in a range of 0.5 × to 3 × MS medium, within a computer-generated optimal design that consisted of 32 treatment combinations. The plant responses were affected by all of the major salts tested and the genotype factor. Multivariate Adaptive Regression Splines captured the significant factors and their interactions to predict optimal major salts suitable for all three strawberry species: 3300 mg L-1 NH4NO3, 862.4 mg L-1 CaCl2, 1110 mg L-1 MgSO4, 3439 mg L-1 KNO3, and 329.8 mg L-1 KH2PO4. This study identified the major nutrient needs of the three strawberry species and provides an alternative statistical technique for tissue culture data analyses. © 2020, Springer Nature B.V