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) / E. Balducci; D. Paffetti; D. Travaglini; S. Biricolti; F. Bottalico; S. Fiorentini; A. Buonamici; F. Donnarumma; A. Materassi; G. Fasano; L. Chelazzi; F. Cimò; I. Colombini; L. Bartalucci; A. Perfetti; O. Mastroianni; V. Tomaselli; S. Gorelli; F. Tonazzini; C. Vettori. - ELETTRONICO. - Theorie in der Ökologie, 17. Frankfurt, Peter Lang.:(2013), pp. 44-52. (Intervento presentato al convegno Third GMLS Conference 2012 tenutosi a Bremen (Germany) nel June 14-15, 2012).

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

PAFFETTI, DONATELLA;TRAVAGLINI, DAVIDE;BIRICOLTI, STEFANO;BOTTALICO, FRANCESCA;
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
GM-Crop Cultivation – Ecological Effects on a Landscape Scale
Third GMLS Conference 2012
Bremen (Germany)
June 14-15, 2012
E. Balducci; D. Paffetti; D. Travaglini; S. Biricolti; F. Bottalico; S. Fiorentini; A. Buonamici; F. Donnarumma; A. Materassi; G. Fasano; L. Chelazzi; F. Cimò; I. Colombini; L. Bartalucci; A. Perfetti; O. Mastroianni; V. Tomaselli; S. Gorelli; F. Tonazzini; C. Vettori
File in questo prodotto:
File Dimensione Formato  
2013_Balducci_et_al_PollenFlow_Brema.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Tutti i diritti riservati
Dimensione 2.08 MB
Formato Adobe PDF
2.08 MB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/774220
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact