Open Access
Issue
OCL
Volume 17, Number 5, Septembre-Octobre 2010
Dossier : Les complémentarités oléagineux/protéagineux (agronomie, nutrition)
Page(s) 292 - 300
Section Agronomie – Environnement
DOI https://doi.org/10.1051/ocl.2010.0331
Published online 15 September 2010
  • Aubertot JN Lescourret F Bonato O, Colbach N, Debaeke P, Doré T, Fargues J, Lô-Pelzer E, Loyce C, Sauphanor B. How to improve pest management in cropping systems. Effects of cultural practices on pest development. A review. Agronomy for Sustainable Development [Google Scholar]
  • Ball DA, Frost SM, Fandrich L, Tarasoff C, Mallory-Smith C. Biological Attributes of Rattail Fescue (Vulpia myuros). Weed Science. 2008 ; 56 : 26–31. [CrossRef] [Google Scholar]
  • Ballot R. Prise en compte des facteurs agronomiques dans les indicateurs de rentabilité des successions culturales. Mémoire de fin d’études d’ingénieur, 2009, ESA, Angers 135. [Google Scholar]
  • Bergez JE, Deumier JM, Lacroix B, Leroy P, Wallach D. Improving irrigation schedules by using a biophysical and a decisional model. Eur J Agronom 2002 ; 16 : 123–135. [CrossRef] [Google Scholar]
  • Blackshaw RE. Downy brome (Bromus tectorum) density and relative-time of emergence affects interference in winter wheat (Triticum aestivum). Weed Science 1993 ; 41 : 551–556. [Google Scholar]
  • Brisson N, Mary B, Ripoche D, et al. STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn. Agronomie 1998a ; 18 : 311–346. [CrossRef] [EDP Sciences] [Google Scholar]
  • Brisson N, Mary B, Ripoche D, et al. STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn. Agronomie 1998b ; 18 : 311–346. [CrossRef] [EDP Sciences] [Google Scholar]
  • Brisson N, Ruget F, Gate PJL, et al. STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize. Agronomie 2002 ; 22 : 69–92. [CrossRef] [EDP Sciences] [Google Scholar]
  • Chatelin MH, Aubry C, Poussin JC, et al. DéciBlé, a software package for wheat crop management simulation. Agricultural Systems 2005 ; 83 : 77–99. [CrossRef] [Google Scholar]
  • Chauvel B, Guillemin JP, Colbach N, Gasquez J. Evaluation of cropping systems for management of herbicide-resistant populations of blackgrass (Alopecurus myosuroides Huds.). Crop Protection 2001 ; 20 : 127–137. [CrossRef] [Google Scholar]
  • Chikowo R, Faloya V, Petit S, Munier-Jolain N. Integrated Weed Management systems allow reduced reliance on herbicides and long term weed control. Agriculture. Ecosystems and Environment 2009 (In press). [Google Scholar]
  • Colbach N, Debaeke P. Integrating crop management and crop rotation effects into models of weed population dynamics: a review. Weed Science 1998 ; 46 : 717–728. [Google Scholar]
  • Colbach N, Dürr C, Roger-Estrade J, Caneill J. How to model the effects of farming practices on weed emergence. Weed Research 2005 ; 45 : 2–17. [CrossRef] [Google Scholar]
  • Colbach N, Busset H, Yamada O, Dürr C, Caneill J. ALOMYSYS: modelling black-grass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil climate. II. Evaluation. Eur J Agronom 2006 ; 24 : 113–128. [CrossRef] [Google Scholar]
  • Colbach N, Dürr C, Roger-Estrade J, Chauvel B, Caneill J. ALOMYSYS: modelling blackgrass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil climate. I. Construction. Eur J Agronom 2006 ; 24 : 95–112. [CrossRef] [Google Scholar]
  • Colbach N, Chauvel B, Gauvrit C, Munier-Jolain NM. Construction and evaluation of ALOMYSYS, modelling the effects of cropping systems on the blackgrass life-cycle. From seedling to seed production. Ecological Modelling 2007 ; 201 : 283–300. [CrossRef] [Google Scholar]
  • Colbach N, Sassi A, Granger S. ALOMYSYS: a model for evaluating and developing cropping systems for integrated weed management. in: 10th congress of the European Society for Agronomy, 2008 Bologne (Italie). [Google Scholar]
  • Colbach N. Évaluation de systèmes de culture régionaux et tests de scénarios prospectifs réduisant herbicides et travail du sol. INRA, 2009 17p. [Google Scholar]
  • Colbach N, Granger S, Munier-Jolain NM Using weed dynamics models for evaluating and developing integrated cropping systems. ln: XIIIe Colloque international sur la biologie des mauvaises herbes, Dijon, France, 2009. [Google Scholar]
  • Colbach N, Kurstjens DAG, Munier-Jolain NM, Dulout-Dalbiès A, Doré T. Assessing non-chemical weeding strategies through a modelling approach applied to blackgrass (Alopecurus myosuroides Huds.) dynamics. Eur J Agron 2010 ; 32 : 205–218. [CrossRef] [Google Scholar]
  • Colbach N. Modelling cropping system effects on crop pest dynamics: how to compromise between process analysis and decision aid. Plant Science 2010 ; 179 : 1–13. [CrossRef] [Google Scholar]
  • Délye C. Weed resistance to acetyl coenzyme A carboxylase inhibitors: an update. Weed Science 2005 ; 53 : 728–746. [CrossRef] [Google Scholar]
  • Délye C, Menchari Y, Guillemin JP, et al. Status of blackgrass (Alopecurus myosuroides) resistance to acetyl-coenzyme A carboxylase inhibitors in France. Weed Research 2007 ; 47 : 95–105. [CrossRef] [Google Scholar]
  • Doyle CJ, Cousens R, Moss SR. A model of the economics of controlling Alopecurus myosuroides Huds. in winter wheat. Crop Protection 1986 ; 5 : 143–150. [CrossRef] [Google Scholar]
  • Dumans P, Flénet F, Wagner D, Bonnin E, Schneider A. Prise en compte des effets précédents dans la rentabilité des cultures–Pour gagner plus avec du colza, placez-le après pois ! Perspectives Agricoles 2010 ; 268 : 4–8. [Google Scholar]
  • Fried G, Norton LR, Reboud X. Environmental and management factors determining weed species composition and diversity in France. Agriculture, Ecosystems & Environment, 2008 ; 128 : 68–76. [CrossRef] [Google Scholar]
  • Fried G, Chauvel B, Reboud X. A functional analysis of large-scale temporal shifts from 1970 to 2000 in weed assemblages of sunflower crops in France. Journal of Vegetation Science 2009 ; 20 : 49–58. [CrossRef] [Google Scholar]
  • Gardarin A, Dürr C, Colbach N. Effects of seed depth and soil structure on the emergence of weeds with contrasted seed traits. Weed Research 2010 ; 50 : 91–101. [CrossRef] [Google Scholar]
  • Gardarin A. Modélisation des effets des systèmes de culture sur la levée des advnetices à partir de relations fonctionnelles utilisant les traits des espèces. PhD Thesis, Université de Bourgogne, Dijon, France, 2008, 280. [Google Scholar]
  • Gasquez J. État de la résistance aux herbicides en France. ln: Proceedings of Xème Colloque International sur la Biologie des Mauvaises Herbes. Dijon, France, (1996). 173–180. [Google Scholar]
  • Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ. An overview of APSIM, a model designed for farming systems simulation. Eur J Agronom 2003 ; 18 : 267–288. [CrossRef] [Google Scholar]
  • Kurstjens DAG, Kropff MJ. The impact of uprooting and soil-covering on the effectiveness of weed harrowing. Weed Research 2001 ; 41 : 211–228. [CrossRef] [Google Scholar]
  • Meiss H, Munier-Jolain N, Henriot F, Caneill J. Effects of biomass, age and functional traits on regrowth of arable weeds after cutting. Journal of Plant Diseases and Protection 2008: 493–499. [Google Scholar]
  • Moss SR. Herbicide resistance in black-grass (Alopecurus myosuroides Huds.). ln: Proceedings of Proceedings 1987 British Crop Protection Conference-Weeds Brighton, England 1987 ; 879–886. [Google Scholar]
  • Munier-Jolain NM, Chauvel B, Gasquez J. Long-term modelling of weed control strategies: analysis of threshold-based options for weed species with contrasted competitive abilities. Weed Research 2002 ; 42 : 107–122. [CrossRef] [Google Scholar]
  • Rossing WAH, Meynard JM, van IMK. Model-based explorations to support development of sustainable systems: case studies from France and the Netherlands. Eur J Agronom 1997 ; 7 : 271–283. [CrossRef] [Google Scholar]
  • Tiers N.,, Schneider A, Ballot R. Le pois dans la rotation – une culture altruiste. Cultivar 2010 ; Février: 32–34. [Google Scholar]
  • Van Himme M, Bulcke R. Distribution, extension et importance d’Alopecurus myosuroides Huds. en Europe. ln: Proceedings of Proceedings European Weed Research Society Symposium Status, Biology and control of grassweeds in Europe, 1975): 23–54. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.