Source: Science of The Total Environment. Unidade: ESALQ
Subjects: ANÁLISE MULTIVARIADA, BIOLOGIA VEGETAL, HERBICIDAS, AÇAFRÃO, MODELOS NÃO LINEARES, CURVAS DE DOSE-RESPOSTA
ABNT
AMORIM, Deoclecio Jardim et al. Modeling hormesis using multivariate nonlinear regression in plant biology: a comprehensive approach to understanding dose-response relationships. Science of The Total Environment, v. 905, p. 1-10, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.scitotenv.2023.167041. Acesso em: 09 out. 2024.APA
Amorim, D. J., Vieira, A. M. C., Fidelis, C. R., Santos, J. C. C. dos, Silva, M. de A., & Demétrio, C. G. B. (2023). Modeling hormesis using multivariate nonlinear regression in plant biology: a comprehensive approach to understanding dose-response relationships. Science of The Total Environment, 905, 1-10. doi:10.1016/j.scitotenv.2023.167041NLM
Amorim DJ, Vieira AMC, Fidelis CR, Santos JCC dos, Silva M de A, Demétrio CGB. Modeling hormesis using multivariate nonlinear regression in plant biology: a comprehensive approach to understanding dose-response relationships [Internet]. Science of The Total Environment. 2023 ; 905 1-10.[citado 2024 out. 09 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.167041Vancouver
Amorim DJ, Vieira AMC, Fidelis CR, Santos JCC dos, Silva M de A, Demétrio CGB. Modeling hormesis using multivariate nonlinear regression in plant biology: a comprehensive approach to understanding dose-response relationships [Internet]. Science of The Total Environment. 2023 ; 905 1-10.[citado 2024 out. 09 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.167041