Source: Frontiers in Plant Science. Unidades: ESALQ, IB
Subjects: CANA-DE-AÇÚCAR, CANCRO (DOENÇA DE PLANTA), FUNGOS FITOPATOGÊNICOS, MINERAÇÃO DE DADOS, PAPAVERALES, RESISTÊNCIA GENÉTICA VEGETAL
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SILVA, Hugo Rody Vianna et al. Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection. Frontiers in Plant Science, v. 12, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.3389/fpls.2021.707904. Acesso em: 13 nov. 2024.APA
Silva, H. R. V., Creste, S., Camargo, L. E. A., Van Sluys, M. -A., Rieseberg Loren H,, & Monteiro-Vitorello, C. B. (2021). Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection. Frontiers in Plant Science, 12, 1-12. doi:10.3389/fpls.2021.707904NLM
Silva HRV, Creste S, Camargo LEA, Van Sluys M-A, Rieseberg Loren H, Monteiro-Vitorello CB. Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection [Internet]. Frontiers in Plant Science. 2021 ; 12 1-12.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fpls.2021.707904Vancouver
Silva HRV, Creste S, Camargo LEA, Van Sluys M-A, Rieseberg Loren H, Monteiro-Vitorello CB. Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection [Internet]. Frontiers in Plant Science. 2021 ; 12 1-12.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fpls.2021.707904