The control efficacy of two new strobilurin fungicides, trifloxystrobin and pyraclostrobin, against Cercospora beticola isolates resistant and sensitive to sterol demethylation-inhibiting (DMI) fungicides and benzimidazole fungicides and the effects on evolution of resistance were tested in the current study. Control efficacy of strobilurin fungicides was measured using three C. beticola isolates, one DMI-resistant (DMIR), one benzimidazole-resistant (BENR), and one of wild-type sensitivity (WCB). Both pyraclostrobin and trifloxystrobin provided satisfactory control of all the three isolates used in the study, when applied at 5 μg ml and very high levels of control when applied at 10 μg ml. Control was independent of the isolate sensitivity to benomyl and difenoconazole. In contrast, benomyl applied at 10 μg ml failed to control sufficiently the benzimidazole-resistant isolate, whereas difenoconazole applied at either 5 or 10 μg ml failed to provide satisfactory control of the DMI-resistant isolate of the pathogen. The effects of strobilurin fungicide applications on the evolution of resistance to benzimidazole and DMI fungicides were tested under field conditions in a 2-year experiment (2003 to 2004). Applications of either trifloxystrobin or pyraclostrobin provided high levels of disease control during both years of the study, whereas applications of either benomyl or difenoconazole provided a moderate control efficacy. Measurements of resistance frequencies to benomyl and to difenoconazole showed that successive applications of benomyl tended to select for high frequencies of benzimidazole-resistant phenotypes, whereas successive applications of difenoconazole tended to select for high frequencies of DMI-resistant phenotypes. In contrast, applications of either trifloxystrobin or pyraclostrobin prevented an increase of benzimidazole- or DMI-resistant phenotypes compared with the plots treated with benomyl or difenoconazole, respectively, and decreased frequency of resistance compared with untreated control plots.
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http://dx.doi.org/10.1094/PD-90-0419 | DOI Listing |
Appl Clin Inform
October 2024
Division of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States.
Neurology
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From the Department of Neurology (J.B., C.J.R., I.K., A.E.M.B., Y.S.C., C.N.K., J.C.P.V., A.A.G.T., B.T., L.P.K., M.A.A.M.d.B., M.R.M., J.K., R.W.v.S., J.M.d.V., R.F.N., P.A.E.S.S., M.J.T.), Erasmus University Medical Center, Rotterdam; Department of Neurology (S.H.C.O.), Amsterdam University Medical Center; Department of Immunology (S.V.), Erasmus University Medical Center, Rotterdam; Laboratory of Medical Microbiology and Immunology Microvida (M.W.J.S.), Tilburg; and Department of Neurology & Alzheimer Center (E.v.d.B.), Erasmus University Medical Center, Rotterdam, the Netherlands.
Background And Objectives: Anti-NMDA receptor (anti-NMDAR) encephalitis generally manifests in young adults. Although 80%-90% returns to independence, the majority experience persistent cognitive and psychosocial difficulties. Studies have demonstrated that cognitive recovery may continue for years; the temporal trajectory is largely unknown, as are factors influencing cognitive/psychosocial recovery.
View Article and Find Full Text PDFJ Cheminform
October 2024
Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, M5S 3M2, Canada.
Drug solubility is an important parameter in the drug development process, yet it is often tedious and challenging to measure, especially for expensive drugs or those available in small quantities. To alleviate these challenges, machine learning (ML) has been applied to predict drug solubility as an alternative approach. However, the majority of existing ML research has focused on the predictions of aqueous solubility and/or solubility at specific temperatures, which restricts the model applicability in pharmaceutical development.
View Article and Find Full Text PDFMolecules
September 2024
Associate Laboratory i4HB-Institute for Health and Bioeconomy, University of Porto, 4050-313 Porto, Portugal.
The pursuit of cosmetic ingredients with proven efficacy and safety that meet consumer needs drives the advancement of new products. Ascorbic acid (AA) is utilized in cosmetic products, predominantly for its potent antioxidant properties. Nonetheless, its instability compromises its efficacy.
View Article and Find Full Text PDFTrop Life Sci Res
March 2024
Research Centre for Energy Convention and Conservation, National Research and Innovation Agency, Science and Technology Park of B.J. Habibie, Serpong, South Tangerang 15314, Indonesia.
Sago plant ( Rottb.) is one of the most carbohydrate-producing plants in the world. Microsatellites or simple sequence repeats (SSRs) play an important role in the genome and are used extensively compared to other molecular markers.
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