100 research outputs found
Microbial and Biochemical Biofungicides Ineffective Against Alternaria Black Spot on Organic Kale
In South Carolina, the disease black spot on kale is caused by the fungi Alternaria brassicicola and A. japonica. Because all kale cultivars are presumed to be susceptible, organic producers may apply biofungicides to prevent or manage black spot. Microbial and biochemical biofungicides were tested in the greenhouse (12 products) and the field (10 products) against black spot caused by both Alternaria spp. on organically produced kale. Thereafter, three biofungicides (copper hydroxide, potassium silicate, and Reynoutria sachalinensis extract) were tested in the field on three kale cultivars. Although several biofungicides reduced black spot in the greenhouse compared with the water-treated control, no biofungicides did so in the field even though they were applied preventatively before plants were inoculated. Biofungicides also did not increase the weight of healthy leaves compared with the water-treated control in any field experiment. Conversely, two biofungicides that increased the severity and incidence of black spot in the greenhouse, B. amyloliquefaciens F727 and potassium bicarbonate, reduced weights of healthy leaves in the field. On average, curly kale cultivar Winterbor had fewer diseased leaves than curly kale cultivar Darkibor, and lacinato kale cultivar Toscano had fewer diseased leaves than curly kale. Winterbor also consistently produced greater healthy leaf weight than Darkibor. Biopesticides are not recommended against black spot on organic kale. [Figure: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license
THE STUDY OF RIVER EXTRACTION TECHNIQUES AND METHODS USING REMOTE SENSING
In this paper, Methods and technology of river Extraction are studied. First DEM with K means, Hill Climbing, and Thresholding. Then different technics like NDWI, pixel-based (supervised and unsupervised) classification and object-based classification. Then a new water body extraction model was developed using the advantages of the OBIA and the NDWI. The need for this kind of method comes from the fact that it is hard for pixel-based classification methods and th NDWI method to separate water from another object that has a low albedo, and since it is impossible to separate them by their spectral differences, we have decided to include the NDWI within the object-based method
BIG DATA ANALYSIS SYSTEMS FOR BUSINESS POLICIES
Big Data arrangement concentrated on whether enormous information was ideal for your business, and gave a few cases of how huge information is being utilized as a part of the undertaking [1]. This study focuses on the tools that we can utilize for the analysis related to big data issues that occurs into business. As India’s big data continues to growing and is facing challenges to enhance the data. In this article we will introduce how to really embrace huge information into your business, laying out seven systems that can enable you to find significant solutions from your information
Evaluation of slip resistant plates for roadway applications
The presented study aims at evaluating the performance of slip resistant plates used in roadway construction to cover trenches, ditches, and potholes. Characteristics of the plate, including the surface friction, corrosion susceptibility, and resistance to abrasion are evaluated. Comparisons based on those attributes among various types of plates are conducted. The merit of the presented study mainly lies in the methodology and techniques adopted in evaluating the plates rather than ranking their performance. A customized corrosion tank built according to ASTM standards is used to apply salt fog spray on all the plates to induce corrosion. Surface friction is measured using the British Pendulum Tester for both uncorroded plates and corroded plates. To evaluate the abrasion resistance, the surfaces are subjected to wear and abrasion induced by repetitive wheel trafficking applied using the one third-scale Model Mobile Load Simulator. The drop in surface friction as a function of degree of corrosion and loading cycles is measured at regular intervals to evaluate the resistance to abrasion for each plate. Recommendations for improving the durability of the plates with welded deposits are suggested. Copyright by ASTM Int'l (all rights reserved).[Anonymous], 2008, ANN BOOK ASTM STAND; [Anonymous], 2006, ANN BOOK ASTM STAND; [Anonymous], ANN BOOK ASTM STAND; ASTM International, 2002, ANN BOOK ASTM STAND, P1; JACKSON M, 2003, BD273 DEP TRANSP; LEE YPK, 2004, APPL ADV TECHN TRANS; RADO Z, 2005, COMMUNICATION 0912; Tang X., 2008, GEOTECHNICAL SPECIAL, P1049; 2004, TRANSPORTATION ALTER0
Preparation, characterization and catalytic application of CoFe2O4 nanoparticles in the synthesis of benzimidazoles
Enhancement in surface area and magnetization of CoFe2O4 nanoparticles for targeted drug delivery application
Neuroprotective role of agmatine in prenatal acute ethanol exposure induce alterations in rats
The present study investigates the impact of agmatine, a neuromodulator with neuroprotective and anxiolytic properties, on behavioral changes associated with prenatal ethanol exposure in rats. The research focuses on the vulnerability of adolescents to alcohol-related problems and explores the potential link between prenatal alcohol exposure, anxiety, and adolescent alcohol use. The study also delves into the neurotoxic effects of ethanol on social behavior, cognitive function, and emotional regulation. The pregnant (GD12) Sprague Dawley rats were exposed to ethanol 2.5 g/kg, 20% v/v followed by a second i.p. injection of 1.25 g/kg ethanol and administered agmatine, along with its modulators, during adolescence. The results reveal that prenatal ethanol exposure induces behavioral changes such as increased locomotor activity, anxiety, social interaction deficits, and depression-like behavior. Agmatine administration, particularly at doses of 40 and 80 mg/kg, mitigates these effects, indicating its potential therapeutic role. Moreover, agmatine treatment improves recognition memory impaired by ethanol exposure and reduces oxidative stress, emphasizing its neuroprotective properties. In conclusion, the study suggests that agmatine holds promise in addressing the behavioural and neurochemical alterations induced by prenatal ethanol exposure during adolescence. The findings contribute to understanding the potential therapeutic capabilities of agmatine in mitigating the adverse consequences of early alcohol exposure on brain function and behaviour
Maximum elongation promoted as a shade-avoidance response by blue light is related to deactivated phytochrome: A comparison with red light in four microgreen species
To clarify detailed pattern of responses to blue light associated with decreasing phytochrome activity, the growth and morphology traits of arugula, cabbage, mustard, and kale microgreens were compared under the treatments: 1) R: pure red light; 2) B: pure blue light; 3) BRF0, 4) BRF2, 5) BRF4, and 6) BRF6: unpure blue lights created by mixing B with low-level (6%) R, and further adding 0, 2, 4, and 6 μmol m−2 s−1 of far-red light, respectively. The calculated phytochrome photostationary state (PPS) value, indicating phytochrome activity, gradually decreased in the order of R (0.89), BRF0 (0.69), BRF2 (0.65), BRF4 (0.63), BRF6 (0.60), and B (0.50). Generally, the elongation growth (including stem extension rate, hypocotyl length, or petiole length) under “blue” lights increased with the decreasing PPS values, showing the highest and lowest sensitivity for arugula and mustard, respectively. However, the elongation promoted by “blue” lights gradually became saturated once the PPS values decreased below 0.60, a level to deactivate phytochrome. The other plant traits such as biomass allocation, and plant color varied as increasing shade-avoidance responses to “blue” lights with decreasing PPS values relative to red light, and reached saturation at a similar PPS value as elongation. The response sensitivity was the highest in elongation growth for arugula and cabbage, and in plant color for kale and mustard. This suggests that deactivated phytochrome contributes to the maximum elongation promotion as a shade-avoidance response induced by blue light, although the response sensitivity varies with plant traits and species.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author
Big Data Analysis Systems For Business Policies
Big Data arrangement concentrated on whether enormous information was ideal for your business, and gave a few cases of how huge information is being utilized as a part of the undertaking [1]. This study focuses on the tools that we can utilize for the analysis related to big data issues that occurs into business. As India's big data continues to growing and is facing challenges to enhance the data. In this article we will introduce how to really embrace huge information into your business, laying out seven systems that can enable you to find significant solutions from your information
Journal of Entomology and Zoology Studies
Experiments were conducted from 2012-2014 to develop the georefrenced maps on cole crops for observing foliage damage index (FDI) and hot spots for cabbage butterfly in Ganderbal, Budgam, Anantnag, Srinagar, Kulgam, Baramulla and Pulwama districts of Kashmir Valley. Data revealed that, among the locations, Chadura (Budgam) recorded highest (3.60) and lowest from Wanpow (Anantnag) (1.80), FDI on Kale, respectively. Whereas, among the locations, during two survey periods, Zazun (Ganderbal) recorded the highest (100 and 90) and Arampora (Kulgam) recorded the lowest (10 & and 20) butterfly index, respectively, on geographic information system (GIS) Map. Among the aspects, north-western direction, and highest elevations recorded highest butterfly numbers.Published versionThe lead author, Barkat Hussain, was a visiting scientist in my lab, from Kashmir
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