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88 results for “fungicide”
S11 | SWISSPEST | Swiss Insecticides, Fungicides and TPs
<p>This is the collection associated with list S11 SWISSPEST on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/?q=suspect-list-exchange">https://www.norman-network.com/?q=suspect-list-exchange</a></p> <p>S11</p> <p>SWISSPEST</p> <p><strong>Swiss Insecticides, Fungicides and TPs</strong></p> <p>Swiss Pesticides <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/031017Update/SwissPesticides_TableS1_CASfix_wDTXSIDs.csv">CSV</a>, <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/031017Update/SwissPesticides_TableS1_CASfix_wDTXSIDs.xlsx">XLSX</a> (3/10/2017)</p> <p>CompTox <a href="https://comptox.epa.gov/dashboard/chemical_lists/swisspest">SWISSPEST List</a></p> <p><a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/SwissPesticides_TableS1_InChIKeys.txt">Pesticide MS-ready InChIKeys</a> (08/05/2017)</p> <p>Table S1 from Moschet <em>et al.</em> 2013.<br> DOI: <a href="http://pubs.acs.org/doi/abs/10.1021/ac4021598">10.1021/ac4021598</a></p>
Data from 18 fungicide trials on potato late blight in UK and Ireland 2013-2017
<p>The data set comprises records of disease incidence, crop growth stage and yield from untreated and treated plots.</p> <p>The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file.</p> <p>The field trials were conducted by Corteva Agriscience, Germany.</p>
Data from 168 fungicide trials in wheat fields across Europe 2014-2018
<p>The data set comprises records of disease incidence, crop growth stage and yield from untreated and treated plots.</p> <p>The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file.</p> <p>The field trials were conducted by Corteva Agriscience, Germany.</p>
Data from 56 fungicide trials in wheat fields across Europe 2017-2019
<p>The data set comprises records of disease incidence and yield from untreated and treated plots.</p> <p>The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file.</p> <p>The field trials were conducted by BASF, Germany.</p>
Data from 89 fungicide trials on apple scab across Europe 2008-2018
<p>The data set comprises records of disease incidence and yield from untreated and treated plots.</p> <p><strong>Assessments</strong><br> The disease infection was expressed as the intensity of attack (=severity) and/or the frequency of attack. Two assessment methods were used:</p> <p>1. Visual assessment:<br> • P%INF: intensity of attack was obtained as a visual estimation of the percentage of each plant part (leaves or fruits) affected by disease<br> • P%FREQ: frequency of attack was represented by the number of infected leaves or fruits. The frequency is expressed as a percentage of the number sampled.</p> <p><br> 2. Class assessment<br> The level of the attack (intensity and frequency) was evaluated and calculated by classing plants into different severity categories ranging from no disease to severe attack.<br> • BEFHKT: frequency of disease attack expressed as a percentage, considering 4 damage classes<br> • BEFWER: intensity of attack expressed as a percentage, considering 4 damage classes.</p> <p>BEFHKT = 100*(cl2 + cl3 + cl4)/(cl1 + cl2 + cl3 + cl4)<br> BEFWER = 100*(cl2 + 2*cl3 + 3*cl4)/(3*N) (the Townsend-Heuberger intensity of attck)</p> <p><strong>Table of measures</strong><br> Measure Description<br> P%FREQ Estimated frequency of attack %<br> P%INF Estimated severy of attack %<br> %ANTK1 Class 1 (%)<br> %ANTK2 Class 2 (%)<br> %ANTK3 Class 3 (%)<br> %ANTK4 Class 4 (%)<br> BEFHKT Frequency of attack<br> BEFWER Index of attack<br> INFECT Infection (F); Infestation (F)<br> KR%ABB Diseased (%)<br> WIRKGR Percent of untreated</p> <p><strong>Data format and source</strong><br> The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file.</p> <p>The field trials were conducted by BASF, Germany.</p> <p> </p>
Mass spectrometry Imaging dataset for the study on fungicide application to tomato leaves - I
<p>The dataset uploaded here is in association to a manuscript in press by Ajith et al. titled, "Visualizing active fungicide formulation mobility in tomato leaves with Desorption Electrospray Ionisation Mass Spectrometry Imaging". This dataset contains .imzML format files of Mass Spectrometry Imaging data along with the zipped .ibd files for a fungicide application study with a commerical Azoxystrobin formulation. The files were generated with a DESI Imprint imaging method for a commercial pesticide formulation applied young tomato leaves after 2 hours, 24 hours, 56 hours and a week after application.</p> <table> <tbody> <tr> <td>File Name</td> <td>Time point</td> </tr> <tr> <td>DTIM_2h</td> <td>2h Adaxial Imprint</td> </tr> <tr> <td>DTIM_24h_1</td> <td>24h Adaxial Imprint</td> </tr> <tr> <td>DTIM_24h_2</td> <td>24h Adaxial Imprint</td> </tr> <tr> <td>DTIM_24h_3</td> <td>24h Adaxial Imprint</td> </tr> <tr> <td>DTIM_56h_1</td> <td>56h Adaxial Imprint</td> </tr> <tr> <td>DTIM_56h_2</td> <td>56h Adaxial Imprint</td> </tr> <tr> <td>DTIM_56h_3</td> <td>56h Adaxial Imprint</td> </tr> <tr> <td>DTIM_1week_1</td> <td>1 week Adaxial Imprint</td> </tr> <tr> <td>DTIM_1week_2</td> <td>1 week Adaxial Imprint</td> </tr> <tr> <td>DTIM_1week_3</td> <td>1 week Adaxial Imprint</td> </tr> <tr> <td>DTIM_48h_Abaxial</td> <td>48h Abaxial imprint</td> </tr> <tr> <td>DTIM_48h_Adaxial</td> <td>48h Adaxial Imprint</td> </tr> </tbody> </table> <p> </p>
Transplanted Sapling Long-term Survivability with Experimental Fungicide and Fencing at Multiple Michigan Sites (2009-2023)
Long-term transplant sapling recruitment (2009-2023) in Michigan, seeking to understand the effects of transplanting northern, southern, and locally sourced tree seeds. Regional sapling transplants simulate the effects of climate change as well as different tree species' ability to survive human-assisted northward migration. This dataset includes >25 species of trees and woody plants with approximately 500 surviving saplings out of ~24,000 transplanted throughout 2009-2017. Saplings are also experimentally treated with fungicide, some fenced to prevent deer browse, and planted under differing levels of canopy cover. Saplings are censused yearly, most recently 2023, recording survival and height.
Plant community richness and foliar fungicides impact soil Streptomyces inhibition, resistance, and resource use phenotypes
Data associated with "Plant community richness and foliar fungicides impact soil Streptomyces inhibition, resistance, and resource use phenotypes" (DOI: 10.3389/fmicb.2024.1452534). These data include soil resource measurements and various phenotypic measurements of associated Streptomyces isolates/populations. Specifically, these data note population level inhibition phenotypes according to Herr's Assays, isolate level antibiotic resistance phenotypes against 9 standard antibiotics, and isolate level resource use phenotypes quantified with Biolog SF-P2 96 well plates.
Synergistic negative effects between a fungicide and high temperatures on homing behaviours in honey bees
<p>Interactions between environmental stressors may contribute to ongoing pollinator declines, but have not been extensively studied. Here, we examined the interaction between the agricultural fungicide Pristine<sup>®</sup> (active ingredients: 25.2% boscalid, 12.8% pyraclostrobin) and high temperatures on critical honey bee behaviours. We have previously shown that consumption of field-realistic levels of this fungicide shortens worker lifespan in the field and impairs associative learning performance in a laboratory-based assay. We hypothesized that Pristine<sup>®</sup> would also impair homing and foraging behaviours in the field, and that an interaction with hot weather would exacerbate this effect. Both field-relevant Pristine<sup>®</sup> exposure and higher air temperatures reduced the probability of successful return on their own. Together, the two factors synergistically reduced the probability of return and increased the time required for bees to return to the hive. Pristine<sup>®</sup> did not affect the masses of pollen or volumes of nectar or water brought back to the hive by foragers, and it did not affect the ratio of forager types in a colony. However, Pristine<sup>®</sup>-fed bees brought more concentrated nectar back to the hive. As both agrochemical usage and heat waves increase, additive and synergistic negative effects may pose major threats to pollinators and sustainable agriculture. </p>
I alternate therefore I generalize: how the intrinsic resistance risk of fungicides counterbalances their durability
<p>The evolution of resistance to pesticides is a major burden in agriculture. Resistance management involves maximizing selection pressure heterogeneity, particularly by combining active ingredients with different modes of action. We tested the hypothesis that alternation may delay the build-up of resistance not only by spreading selection pressure over longer periods, but also by decreasing the rate of evolution of resistance to alternated fungicides, by applying an experimental evolution approach to the economically important crop pathogen <i>Zymoseptoria tritici. </i>Our results show that alternation is either neutral or slows the evolution of resistance, relative to continuous fungicide use, but results in higher levels of generalism in evolved lines. We demonstrate that the relative risk of resistance intrinsic to fungicide alternation probably underlies a trade-off between the number of fungicides and the frequency of alternation. This trade-off is also dynamic over the course of resistance evolution. These findings open up new possibilities for tailoring resistance management effectively while optimizing interplay between alternation components.</p>
"Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk". Supplementary Data 1.
<p> "Decision support systems halve fungicide compared to calendar-based strategies without increasing disease risk". Supplementary Data 1.https://doi.org/10.1038/s43247-021-00291-8 | www.nature.com/commsenv</p> <p>Dataset includes the results of 80 independent experiments reported in 22 articles and it has a dimension of 329 rows x 42 columns. Further information in "Description Supplementary Data 1.pdf" file. </p> <p>This dataset was assembled including also the data from the publication Agronomy 2020, 10(4), 560; https://doi.org/10.3390/agronomy10040560.</p>
Fungicides Cuprozin Progress and SWITCH Modulate Primary and Specialized Metabolites of Strawberry Fruits
<p>Numerous pesticides, including fungicides, are applied every year to crop plants. However, such application may affect the plant metabolism and thereby impact crop quality. Strawberry is an economically important crop, but the fruits are highly susceptible, especially to fungal diseases. In the present study, the effects of two fungicides on primary and specialized metabolites determining the fruit aroma were tested in two strawberry cultivars and the wild strawberry. Fruit extracts were analyzed using HPLC (amino acids), GC-MS (organic acids, sugars, flavor metabolites) and photometric quantification (total phenolics). Various metabolites were either significantly higher or lower in fruits of plants exposed to fungicides compared to those of control plants, with differences between strawberry cultivars and species, as well as used fungicides. Given the various changes in metabolites in response to the treatments, the taste and quality of the strawberries may pronouncedly change when plants are treated with fungicides.</p>
Additive and dose-dependent mixture effects of Flumite 200 (flufenzin, acaricide) and Quadris (azoxystrobin, fungicide) on the reproduction and survival of Folsomia candida (Collembola)
<p> Our model organism was Folsomia candida (Collembola). We aimed to gain information on the toxicity of Quadris (azoxystrobin) and Flumite 200 (flufenzine aka. diflovidazine) on survival and reproduction and whether the animals can mitigate the toxicity with soil and/or food avoidance behaviour. Also, we aimed to test the effect of the mixture of these two pesticides. We used the OECD 232 reproduction test, a soil avoidance test, and a food choice test for both single pesticides and their mixture. We prepared the mixtures based on the concentration addition model, so the 50% effective concentrations (EC50) of the single materials were used as one toxic unit with a constant ratio of the two materials in the mixture. In the end, the measured mixture EC and LC (lethal concentration) values were compared to the estimate of the concentration addition model.</p>
Data from: Effects of fungicides on aquatic fungi and bacteria: a comparison of morphological and molecular approaches from a microcosm experiment
<p>Data files and R code for the manuscript: Effects of fungicides on aquatic fungi and bacteria: a comparison of morphological and molecular approaches from a microcosm experiment. Published in Environmental Sciences Europe.</p>
Fungicides Cuprozin Progress and SWITCH Modulate Primary and Specialized Metabolites of Strawberry Fruits
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I alternate therefore I generalize: how the intrinsic resistance risk of fungicides counterbalances their durability
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Synergistic negative effects between a fungicide and high temperatures on homing behaviours in honey bees
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Increasing agricultural habitat reduces solitary bee offspring number and weight in apple orchards through reduced floral diet diversity and increased fungicide risk
<p>1. Threats to bee pollinators such as land use change, high pesticide risk, and reduced floral diet diversity are usually assessed independently, even though they often co-occur to impact bees in agroecosystems.</p> <p>2. We established populations of the non-native mason bee O. cornifrons at 17 NY apple orchards varying in proportion of surrounding agriculture and measured floral diet diversity and pesticide risk levels in the pollen provisions they produced. We used path analysis to test the direct and indirect effects of different habitats, diet diversity, and pesticide risk on emergent female offspring number and weight.</p> <p>3. Our results showed that high proportions of agricultural habitat surrounding bee nests indirectly reduced the number of female offspring produced, by reducing floral diet diversity in pollen.</p> <p>4. When proportion agriculture surrounding bee nests was high, bees collected increased proportions of Rosaceae in their pollen provisions, which marginally (0.05<p<0.1) increased fungicide risk levels in pollen, which, in turn, marginally reduced female offspring weight. In contrast, female offspring weight increased as proportion surrounding open habitat (wildflowers, grassland, pasture) increased, but this effect was not influenced by proportion Rosaceae or fungicide risk levels in pollen.</p> <p>5. Synthesis and Applications: To promote healthy O. cornifrons populations in apple, we must maintain floral resource diversity and open habitats, while reducing fungicide risk levels and agricultural habitats. More broadly, our results show that land use change, in the form of increasing agricultural habitat, can negatively impact bee populations in agroecosystems indirectly through multiple, simultaneous threats. We must strive to understand these complex interactions between simultaneous threats to maintain healthy bee populations in agroecosystems, where we rely on them for pollination.</p>
Co-formulant in a commercial fungicide product causes lethal and sub-lethal effects in bumble bees
<p>The dataset and code behind an experimental paper in Scientific Reports. </p> <p>Paper DOI: https://doi.org/10.1038/s41598-021-00919-x</p> <p>Pollinators, particularly wild bees, are suffering declines across the globe, and pesticides are thought to be drivers of these declines. Research into, and regulation of pesticides has focused on the active ingredients, and their impact on bee health. In contrast, the additional components in pesticide formulations have been overlooked as potential threats. By testing an acute oral dose of the fungicide product Amistar, and equivalent doses of each individual co-formulant, we were able to measure the toxicity of the formulation and identify the ingredient responsible. We found that a co-formulant, alcohol ethoxylates, caused a range of damage to bumble bee health. Exposure to alcohol ethoxylates caused 30% mortality and a range of sublethal effects. Alcohol ethoxylates treated bees consumed half as much sucrose as negative control bees over the course of the experiment and lost weight. Alcohol ethoxylates treated bees had significant melanisation of their midguts, evidence of gut damage. We suggest that this gut damage explains the reduction in appetite, weight loss and mortality, with bees dying from energy depletion. Our results demonstrate that sublethal impacts of pesticide formulations need to be considered during regulatory consideration, and that co-formulants can be more toxic than active ingredients.</p>
Data related to: Bottom-up effects of fungicides on tadpoles of the European common frog (Rana temporaria)
<p>We have uploaded a range of files informding about ergosterol and bacteria levels on leaf litter (LeafMicrobes.xlsx); the feces production, leaf consumption and legnth development of tadpoles during the study and among the two experimental phases as detailed in the mansucript (FecesFeedingLength.xlxs); composition of fatty acids in tadpoles and leaf litter (NFLA.xlxs); metamophoses event (Metamorphosis.xlsx)</p> <p> </p> <p>Paper abstract as submitted:</p> <p><span><span><span><span><span><span><span><span><span><span><span>Biodiversity is under pressure world-wide, with amphibians being particularly threatened. Stressors related to human activity, such as chemicals, are contributing to this decline. It remains, however, unclear whether chemicals exhibiting a fungicidal activity could indirectly affect tadpoles, that depend on microbially conditioned leaf litter as food source. The indirect effect of fungicides (sum concentration of a fungicide mixture composed of azoxystrobin, carbendazim, crybrodinil, quinoxifen and tebuconcazole: 100 µg/L) on tadpoles was assessed relative to leaf litter colonised by microbes in absence of fungicides (control) and a worst case scenario, that is leached leaf litter without microbial colonisation. The quality of leaf litter as food for tadpoles of the European common frog (<i>Rana temporaria</i>) was characterised through neutral lipid fatty acid profiles and microbial sum parameters and verified by sublethal responses in tadpoles (i.e. feeding rate, feces production, growth and fatty acid composition). Fungicides changed the nutritious quality of leaf litter likely through alterations in leaves' neutral lipid fatty acid profiles (i.e., changes in some physiologically important highly unsaturated fatty acids reached more than 200%) in combination with a potential adsorption onto leaves during conditioning. These changes were reflected by differences in the development of tadpoles ultimately resulting in an earlier start of metamorphosis. Our data provide a first indication that fungicides potentially affect tadpole development indirectly through bottom-up effects. This pathway is so far not addressed in fungicide environmental risk assessment and merits further attention.</span></span></span></span></span></span></span></span></span></span></span></p>
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