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Applying predictive models to decipher rhizobacterial modifications in common reed die-back affected populations.
Bacci, Giovanni; Cerri, Martina; Lastrucci, Lorenzo; Ferranti, Francesco; Ferri, Valentina; Foggi, Bruno; Gigante, Daniela; Venanzoni, Roberto; Viciani, Daniele; Mengoni, Alessio; Reale, Lara; Coppi, Andrea.
Afiliação
  • Bacci G; Department of Biology, University of Florence, Florence, Italy. Electronic address: giovanni.bacci@unifi.it.
  • Cerri M; Department of Agriculture, Food and Environmental Sciences, University of Perugia, Perugia, Italy.
  • Lastrucci L; Department of Biology, University of Florence, Florence, Italy.
  • Ferranti F; Department of Agriculture, Food and Environmental Sciences, University of Perugia, Perugia, Italy.
  • Ferri V; Department of Agriculture, Food and Environmental Sciences, University of Perugia, Perugia, Italy.
  • Foggi B; Department of Biology, University of Florence, Florence, Italy.
  • Gigante D; Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy.
  • Venanzoni R; Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy.
  • Viciani D; Department of Biology, University of Florence, Florence, Italy.
  • Mengoni A; Department of Biology, University of Florence, Florence, Italy.
  • Reale L; Department of Agriculture, Food and Environmental Sciences, University of Perugia, Perugia, Italy.
  • Coppi A; Department of Biology, University of Florence, Florence, Italy.
Sci Total Environ ; 642: 708-722, 2018 Nov 15.
Article em En | MEDLINE | ID: mdl-29913366
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiologia do Solo / Rizosfera / Modelos Teóricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference País/Região como assunto: Europa Idioma: En Revista: Sci Total Environ Ano de publicação: 2018 Tipo de documento: Article País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiologia do Solo / Rizosfera / Modelos Teóricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference País/Região como assunto: Europa Idioma: En Revista: Sci Total Environ Ano de publicação: 2018 Tipo de documento: Article País de publicação: Holanda