Data/hora: 11/06/2024 15:44:16

Provedor de dados: | 42
País: | Brazil
Título: | Environmental risk for aquatic and terrestrial organisms associated with drift from pesticides used in soybean crops
Autores: | BUENO,MARIANA R.; CUNHA,JOÃO PAULO A.R. DA.
Data: | 2020-01-01
Ano: | 2020
Palavras-chave: | Drift curves; Glycine max; Pesticide application technology; Risk assessment.
Resumo: | 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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201007
Editor: | Academia Brasileira de Ciências
Relação: | 10.1590/0001-3765202020181245
Formato: | text/html
Fonte: | Anais da Academia Brasileira de Ciências  v.92 suppl.1 2020
Fonte: | info:eu-repo/semantics/openAccess