Background: There is an urgent need to enhance pesticide effectiveness while reducing adverse environmental impacts, based on the pesticide reduction program that requires net zero growth in chemical pesticide applications by 2020. Agricultural production can benefit from appropriate pesticide application using the optimal method. In this study, the effects of different application methods on the effectiveness, spray deposition, and residue behaviour of 48% phenamacril · tebuconazole suspension concentrate (SC) in wheat production were compared to determine the most efficient and effective method.
Results: 48% phenamacril · tebuconazole SC was most effective in controlling Fusarium head blight (FHB) and mycotoxin contamination. Statistically significant differences in the control effect, spray deposition, initial residues, and half-life (t ) were subsequently observed with different application methods, suggesting that the application method plays a key role in pesticide availability and control efficiency. The differences in control efficiency and pesticide residues between application methods were thought to be related to droplet size, droplet distribution, and penetrability. Unmanned aerial vehicle and mister sprayers were found to effectively increase the control efficacy of 48% phenamacril · tebuconazole SC in terms of FHB control and mycotoxin concentrations, as well as enhancing pesticide availability.
Conclusion: These findings are of theoretical and practical value for the scientific application of pesticides in wheat, helping to enhance pesticide utilization while reducing harmful residues. © 2019 Society of Chemical Industry.
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http://dx.doi.org/10.1002/ps.5635 | DOI Listing |
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
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Medicine Faculty, University of Geneva, Geneva, Switzerland.
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View Article and Find Full Text PDFJMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
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15, Trauma Centre, District Hospital Neemuch Madhya Pradesh - 458441, India
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View Article and Find Full Text PDFEur J Appl Physiol
January 2025
College of Kinesiology, University of Saskatchewan, Saskatoon, SK, Canada.
Resistance training (RT) load and volume are considered crucial variables to appropriately prescribe and manage for eliciting the targeted acute responses (i.e., minimizing neuromuscular fatigue) and chronic adaptations (i.
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