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Combining a weed traits database with a population dynamics model predicts shifts in weed communities.
Storkey, J; Holst, N; Bøjer, O Q; Bigongiali, F; Bocci, G; Colbach, N; Dorner, Z; Riemens, M M; Sartorato, I; Sønderskov, M; Verschwele, A.
Affiliation
  • Storkey J; Agroecology Department, Rothamsted Research Harpenden, UK.
  • Holst N; Department of Agroecology, Aarhus University Slagelse, Denmark.
  • Bøjer OQ; Department of Agroecology, Aarhus University Slagelse, Denmark.
  • Bigongiali F; Istituto di Scienze della Vita, Scuola Superiore Sant'Anna - Piazza Martiri della Libertà Pisa, Italy.
  • Bocci G; Istituto di Scienze della Vita, Scuola Superiore Sant'Anna - Piazza Martiri della Libertà Pisa, Italy.
  • Colbach N; INRA, UMR1347 Agroécologie Dijon, France.
  • Dorner Z; Institute of Plant Protection, Faculty of Agriculture & Environmental Science, Szent Istvan University Godollo, Hungary.
  • Riemens MM; Wageningen University & Research Centre, Agrosystems Research Wageningen, the Netherlands.
  • Sartorato I; Istituto di Biologia Agroambientale & Forestale, CNR Padua, Italy.
  • Sønderskov M; Department of Agroecology, Aarhus University Slagelse, Denmark.
  • Verschwele A; Federal Research Centre for Cultivated Plants, Julius Kuhn Institute Braunschweig, Germany.
Weed Res ; 55(2): 206-218, 2015 Apr.
Article in En | MEDLINE | ID: mdl-26190870
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Weed Res Year: 2015 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Weed Res Year: 2015 Document type: Article Affiliation country: