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.

Pollen flow

Lorenzo Chelazzi;Alessandro Materassi;Gianni Fasano;Francesca Donnarumma;Cristina Vettori
2013

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.
2013
Istituto di Biometeorologia - IBIMET - Sede Firenze
Istituto di Bioscienze e Biorisorse
Istituto di Ricerca sugli Ecosistemi Terrestri - IRET
Italiano
Inglese
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
DEvelopment of a quick Monitoring index as a tool to assess Environmental impacts of TRAnsgenic crops (DEMETRA)
19
26
8
978-88-90365-38-6
Pollen flow
Maize
Oilseed rape
Sunflower
Poplar
Non-target species
Inerente al Progetto LIFE+: LIFE08 NAT/IT/000342 "Development of a quick monitoring index as a tool to assess environmental impacts of transgenic crops"
10
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Buonamici, Anna; Bricoliti, Stefano; Balducci, Elena; Travaglini, Davide; Paffetti, Donatella; Chelazzi, Lorenzo; Materassi, Alessandro; Fasano, Giann...espandi
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/207971
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