Environmental risk for aquatic and terrestrial organisms associated with drift from pesticides used in soybean crops
Document title: Environmental risk for aquatic and terrestrial organisms associated with drift from pesticides used in soybean crops
Journal: Anais da Academia Brasileira de Ciencias
Database: PERIÓDICA
System number: 000436171
ISSN: 0001-3765
Authors: 1
2
Institutions: 1Universidade Federal dos Vales do Jequitinhonha e Mucuri, Instituto de Ciencias Agrarias, Unai, Minas Gerais. Brasil
2Universidade Federal de Uberlandia, Instituto de Ciencias Agrarias, Uberlandia, Minas Gerais. Brasil
Year:
Volumen: 92
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Analítico, descriptivo
English abstract Several countries included the assessment of environmental drift contamination risk for the registration of pesticides. This practice is not yet totality effective in Brazil; however, due to the large number of pesticides in use, it is important to identify the real contamination risk during pesticide spraying. Therefore, this study determined the indices of environmental risks for exposure to drift from terrestrial applications of fungicides, herbicides, and insecticides that are used in soybean crops under Brazilian climate conditions and established buffer zones for the application of these products. Based on the three prediction drift models for soybeans in Brazil, risk indices were computed for aquatic organisms and terrestrial organisms according to the modelling procedures proposed by the POCER (Pesticide Occupation and Environmental Risk) and HAIR (Harmonized Environmental Indicators for Pesticide Risk) methodologies. In general, aquatic organisms are the most sensitive to drift contamination, being chlorothalonil, trifluralin and chlorpyrifos the ones that presented the higher risk indexes. No risk was found for earthworms; in contrast, the insecticides chlorpyrifos, spinosad and thiamethoxam presented risks to bees regardless of the nozzle (droplet size) used for the determination of the drift curve, resulting in the demand for different buffer zones
Disciplines: Agrociencias,
Biología
Keyword: Ecología,
Soya,
Plaguicidas,
Riesgo ambiental,
Curvas de deriva,
Evaluación de riesgos,
Glycine max
Keyword: Ecology,
Soybean,
Pesticides,
Environmental risk,
Drift curves,
Risk assessment,
Glycine max
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