In this work we studied the pollen flow of a selected range of crops which could be genetically transformed in the near future. The study is part of LIFE08 NAT/IT/342 DEMETRA project which aims at developing a quick monitoring index to rapidly assess the influence on ecosystems of transgenic crops. To do this three experimental plots were selected in the Migliarino - San Rossore - Massaciuccoli Regional Park (Tuscany, Italy). The plots were characterized by different cropped areas: maize, sunflower, oilseed rape, Italian stone pine, and poplar. Pollen traps were installed within the plots taking into account the distance from crops and wind direction. A pollen dispersal simulation model was used to assess the potential contamination levels due to maize crops. Our results show that maize pollen covered up to a distance of 160 m from the cultivated area; pollen granules of oilseed rape, sunflower, pine and poplar were detected up to a distance of 34 m, 19 m, 269 m and 380 m, respectively. The pollen dispersal simulation model provided spatial explicit estimations of the contamination levels in term of maize pollen granules concentration.

Pollen flow evaluation to implement a Quick Monitoring Index (QMI)

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

Abstract

In this work we studied the pollen flow of a selected range of crops which could be genetically transformed in the near future. The study is part of LIFE08 NAT/IT/342 DEMETRA project which aims at developing a quick monitoring index to rapidly assess the influence on ecosystems of transgenic crops. To do this three experimental plots were selected in the Migliarino - San Rossore - Massaciuccoli Regional Park (Tuscany, Italy). The plots were characterized by different cropped areas: maize, sunflower, oilseed rape, Italian stone pine, and poplar. Pollen traps were installed within the plots taking into account the distance from crops and wind direction. A pollen dispersal simulation model was used to assess the potential contamination levels due to maize crops. Our results show that maize pollen covered up to a distance of 160 m from the cultivated area; pollen granules of oilseed rape, sunflower, pine and poplar were detected up to a distance of 34 m, 19 m, 269 m and 380 m, respectively. The pollen dispersal simulation model provided spatial explicit estimations of the contamination levels in term of maize pollen granules concentration.
2013
Istituto di Biometeorologia - IBIMET - Sede Firenze
Istituto di Bioscienze e Biorisorse
Istituto di Bioscienze e Biorisorse
Istituto di Ricerca sugli Ecosistemi Terrestri - IRET
Inglese
Breckling, B., Verhoeven R. (eds.)
GM-Crop Cultivation - Ecological Effects on a Landscape Scale. Proceedings of the Third GMLS Conference 2012
III GMLS International Conference on Implications of GM Crop Cultivation at Large Spatial Scales
44
52
9
978-3-631-62870-6
http://www.gmls.eu/beitraege/44_Balducci.pdf
Peter Lang Internationaler Verlag der Wissenschaften
Francoforte
GERMANIA
Sì, ma tipo non specificato
14-15 giugno 2012
Bremen, Germania
Pollen flow
maize
oilseed rape
poplar
Inerente al Progetto LIFE+: LIFE08 NAT/IT/000342 "Development of a quick monitoring index as a tool to assess environmental impacts of transgenic crops"
20
none
Balducci, Elena; Paffetti, Donatella; Travaglini, Davide; Biricolti, Stefano; Bottalico, Francesco; Fiorentini, Silvia; Buonamici, Anna; Donnarumma, F...espandi
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/201065
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