Identifying key life-traits for the dynamics and gene flow in a weedy crop relative: Sensitivity analysis of the GeneSys simulation model for weed beet (Beta vulgaris ssp. vulgaris)

Ecological Modelling

Volumn 221, Issue 2, 2010, Pages 225-237

  Colbach, Nathalie ^a   Darmency, Henri ^a   Tricault, Yann ^a  

^a CEMAGREF   (France)

Author keywords

Beta vulgaris; Cropping system; Gene flow; GMO; Sensitivity analysis; Species traits; Weed dynamics

Indexed keywords

BETA VULGARIS; CROPPING SYSTEMS; GENE FLOW; GENE FLOWS; SPECIES TRAITS;

COST REDUCTION; CROPS; FLOW SIMULATION; GRANULAR MATERIALS; HERBICIDES; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; PHYSIOLOGICAL MODELS; PLANTS (BOTANY); REGRESSION ANALYSIS; ROTATION; SEED; SENSITIVITY ANALYSIS; SIMULATORS; SUGAR (SUCROSE); SUGAR BEETS; SUGARS; TIME MEASUREMENT;

WEED CONTROL;

BIOPHYSICS; CLIMATE CONDITIONS; CROP; GENE FLOW; GENOTYPE; HERBICIDE; HYBRID; MONTE CARLO ANALYSIS; PARAMETERIZATION; POPULATION DYNAMICS; SEED PRODUCTION; SENSITIVITY ANALYSIS; SIMULATION; WEED CONTROL;

BETA VULGARIS; BETA VULGARIS SUBSP. VULGARIS;

EID: 70549096131     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2009.10.011     Document Type: Article

References (26)

1. Bliss F.A., and Gabelman W.H. Inheritance of male sterility in beets, Beta vulgaris L. Crop Science 5 (1965) 403-406
2. Boudry P., Morchen M., Saumitou-Laprade P., Vernet P., and Van Dijk H. The origin and evolution of weed beets: consequences for the breeding and release of herbicide-resistant transgenic sugar beets. Theoretical and Applied Genetics 87 (1993) 471-478
3. Colbach N., Molinari N., and Clermont-Dauphin C. Sensitivity analyses for a model simulating demography and genotype evolutions with time. Application to GeneSys modelling gene flow between rapeseed varieties and volunteers. Ecological Modelling 179 (2004) 91-113
4. Collard A., and Munier-Jolain N.M. Modelling weed seed production at the individual scale: integration of the influence of morphological plasticity on plant competition for light. 13th EWRS Symposium. Bari, Italy, 19-23 June 2005 (2005)
5. Darmency H., Vigouroux Y., Gestat de Garambé T., Richard-Molard M., and Muchembled C. Pollen flow to weedy beets in sugar beet production fields: data from six years farm scale monitoring. Environmental Biosafety Research 6 (2007) 197-206
6. Darmency H., Klein E., Gestat de Garambé T., Gouyon P.H., Richard-Molard M., and Muchembled C. Pollen dispersal in sugar beet production fields. Theoretical and Applied Genetics 118 (2009) 1083-1092
7. Debaeke P., Caussanel J.P., Kiniry J.R., Kafiz B., and Mondragon G. Modelling crop:weed interactions in wheat with ALMANAC. Weed Research 37 (1997) 325-341
8. Desplanque B., Boudry P., Broomberg K., Saumitou-Laprade P., Cuguen J., and Van Dijk H. Genetic diversity and gene flow between wild, cultivated and weedy forms of Beta vulgaris L. (Chenopodiaceae), assessed by RFLP and microsatellite markers. Theoretical and Applied Genetics 98 (1999) 1194-1201
9. Desplanque B., Hautekeete N., and Van Dijk H. Transgenic weed beets: possible, probable, avoidable?. Journal of Applied Ecology 39 (2002) 561-571
10. Devaux C., Klein E.K., Lavigne C., Sausse C., and Messéan A. Environmental and landscape effects on cross-pollination rates observed at long-distance among French oilseed rape (Brassica napus) commercial fields. Journal of Applied Ecology 45 (2008) 803-812
11. Fried G., Norton L.R., and Reboud X. Environmental and management factors determining weed species composition and diversity in France. Agriculture, Ecosystems & Environment 128 (2008) 68-76
12. Gunn J.S., and Dunkerton J. Weed beet through the arable rotation. British Sugar Beet Review 49 (1981) 9-10
13. Hornberger G.M., and Spear R.C. An approach to the preliminary analysis of environmental systems. Journal of Environmental Management 12 (1981) 7-18
14. Hornsey K.G., and Arnold M.H. The origin of weed beet. Annals of Applied Biology 92 (1979) 279-285
15. May M.J. Economic consequences for UK farmers of growing GM herbicide tolerant sugar beet. Annals of Applied Biology 142 (2003) 41-48
16. Owen F.V. Cytoplasmically inherited male-sterility in sugar beets. Journal of Agricultural Research 71 (1945) 423-440
17. Parysow P., and Gertner G. Virtual experimentation: conceptual models and hypothesis testing of ecological scenarios. Ecological Modelling 98 (1997) 59-71
18. Richard-Molard M., Muchembled C., and Gestat de Garambé T. Expérimentations aux champs de betteraves tolérantes à un herbicide non sélectif: premiers résultats et perspectives. Xème Colloque International sur la Biologie des Mauvaises Herbes. Dijon, Septembre 1996 (1996) 231-238
19. Saltelli A., Chan K., and Scott E.M.E. Sensitivity Analysis (2000), John Wiley & Sons, Chichester
20. Sester M. Modélisation des effets des systèmes de culture sur le flux de gènes entre cultures et mauvaises herbes apparentées. Cas de la betterave sucrière (2004), Université de Bourgogne, Dijon
21. Sester M., Delanoy M., Colbach N., and Darmency H. Crop and density effects on weed beet growth and reproduction. Weed Research 44 (2004) 50-59
22. Sester M., Dürr C., Darmency H., and Colbach N. Evolution of weed beet (Beta vulgaris L.) seed bank: quantification of seed survival, dormancy, germination and pre-emergence growth. European Journal of Agronomy 24 (2006) 19-25
23. Sester M., Dürr C., Darmency H., and Colbach N. Modelling the effects of cropping systems on the seed bank dynamics and emergence of weed beet. Ecological Modelling 204 (2007) 47-58
24. Sester M., Tricault Y., Darmency H., and Colbach N. GENESYS-BEET: a model of the effects of cropping systems on gene flow between sugar beet and weed beet. Field Crops Research 107 (2008) 245-256
25. Sweet J., Simpson E., Law J., Lutman P., Berry K., Payne R., Champion G., May M., Walker K., Wightman P., and Lainsbury M. Botanical and rotational implications of genetically modified herbicide tolerance in winter oilseed rape and sugar beet (BRIGHT Project) (2004)
26. Tricault Y., Darmency H., and Colbach N. Identifying key components of weed beet management using sensitivity analyses of the GeneSys-Beet model in GM sugar beet. Weed Research (2009) 9999