Pollen flow (Contributo in volume (capitolo o saggio))

Type
Label
  • Pollen flow (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Anna Buonamici; Stefano Bricoliti; Elena Balducci; Davide Travaglini; Donatella Paffetti; Lorenzo Chelazzi; Alessandro Materassi; Gianni Fasano; Francesca Donnarumma; Cristina Vettori (2013)
    Pollen flow
    in DEvelopment of a quick Monitoring index as a tool to assess Environmental impacts of TRAnsgenic crops (DEMETRA), 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Anna Buonamici; Stefano Bricoliti; Elena Balducci; Davide Travaglini; Donatella Paffetti; Lorenzo Chelazzi; Alessandro Materassi; Gianni Fasano; Francesca Donnarumma; Cristina Vettori (literal)
Pagina inizio
  • 19 (literal)
Pagina fine
  • 26 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Inerente al Progetto LIFE+: LIFE08 NAT/IT/000342 \"Development of a quick monitoring index as a tool to assess environmental impacts of transgenic crops\" (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • DEvelopment of a quick Monitoring index as a tool to assess Environmental impacts of TRAnsgenic crops (DEMETRA) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Anna Buonamici, Elena Balducci, Francesca Donnarumma, Cristina Vettori: CNR-IGV, Firenze Stefano Bricoliti, Davide Travaglini, Donatella Paffetti: Department of Agronomy and Land Management, University of Florence Lorenzo Chelazzi: CNR-ISE, Sede distaccata di Firenze Alessandro Materassi, Gianni Fasano: CNR-IBIMET, Sassari (literal)
Titolo
  • Pollen flow (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-88-90365-38-6 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Cristina Vettori, IGV-CNR, Italy; Davide Travaglini, GESAAF-UNIFI Italy; Laura Bartalucci, Tuscany Region, Italy; Carla Lazzarotto, Tuscany Region, Italy; Donatella Paffetti, DISPAA-UNIFI, Italy; Lorenzo Chelazzi, ISE-CNR, Italy; Antonio Perfetti, Park MSRM, Italy (literal)
Abstract
  • Information on pollen flow are necessary to assess the potential impact on ecosystems of genetically modified organisms (GMOs). For instance, pollen dispersal data are needed to evaluate the range within transgenic pollen could affect biodiversity and non-target species. This knowledge is also necessary to identify environmental conditions that might favour pollen movement. Additionally, information on pollen flow can be used to estimate the range of the pollen dispersal using dispersal simulation models. Our work focuses on pollen dispersal data of the following species (crops and trees) of which genetically modified variants can be commercially available in the near future: maize (Zea mays L.), oilseed rape (Brassica napus L.), sunflower (Helianthus annuus L.), and poplar (Populus nigra x Populus deltoides). We used pollen traps to assess the distances covered by pollen granules of the selected species and a pollen dispersal simulation model to assess the potential contamination levels due to maize crops. (literal)
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