Assessing innovative sowing patterns for integrated weed management with a 3D crop:weed competition model

[1]  Nathalie Colbach,et al.  A trait-based approach to explain weed species response to agricultural practices in a simulation study with a cropping system model , 2014 .

[2]  A. Joannon,et al.  Weed dispersal by farming at various spatial scales. A review , 2013, Agronomy for Sustainable Development.

[3]  N. Munier-Jolain,et al.  A plant nitrophily index based on plant leaf area response to soil nitrogen availability , 2013, Agronomy for Sustainable Development.

[4]  N. Munier-Jolain,et al.  A 3D model for light interception in heterogeneous crop:weed canopies: Model structure and evaluation , 2013 .

[5]  David M Umbach,et al.  Pesticide use and fatal injury among farmers in the Agricultural Health Study , 2013, International Archives of Occupational and Environmental Health.

[6]  François Brun,et al.  Assessing the Uncertainty when Using a Model to Compare Irrigation Strategies , 2012 .

[7]  N. Colbach,et al.  Modeling the dynamics and emergence of a multispecies weed seed bank with species traits , 2012 .

[8]  Bernard Rolland,et al.  A study of genetic progress due to selection reveals a negative effect of climate change on bread wheat yield in France , 2012 .

[9]  Raphaël Martin,et al.  GEMINI: a Grassland Model Simulating the Role of Plant Traits for Community Dynamics and Ecosystem F , 2012 .

[10]  E. Gallandt,et al.  Impact of Spring Wheat Planting Density, Row Spacing, and Mechanical Weed Control on Yield, Grain Protein, and Economic Return in Maine , 2012, Weed Science.

[11]  Sabrina Gaba,et al.  Inferring weed spatial distribution from multi-type data , 2012 .

[12]  J. Meynard,et al.  Growing winter wheat cultivars under different management intensities in France: A multicriteria assessment based on economic, energetic and environmental indicators , 2012 .

[13]  Per Ambus,et al.  The competitive ability of pea-barley intercrops against weeds and the interactions with crop productivity and soil N availability , 2011 .

[14]  N. Colbach.  Modelling cropping system effects on crop pest dynamics : How to compromise between process analysis and decision aid , 2010 .

[15]  N. Colbach,et al.  Effects of seed depth and soil aggregates on the emergence of weeds with contrasting seed traits , 2010 .

[16]  Nathalie Colbach,et al.  Assessing non-chemical weeding strategies through mechanistic modelling of blackgrass (Alopecurus myosuroides Huds.) dynamics , 2010 .

[17]  N. Munier-Jolain,et al.  Estimation of key parameters for weed population dynamics models: Base temperature and base water potential for germination , 2010 .

[18]  B. Maxwell,et al.  Spatial patterns, species richness and cover in weed communities of organic and conventional no-tillage spring wheat systems , 2008 .

[19]  Jannie Olsen,et al.  Crop Density, Sowing Pattern, and Nitrogen Fertilization Effects on Weed Suppression and Yield In Spring Wheat , 2008, Weed Science.

[20]  J. Storkey,et al.  Reconciling the conservation of in-field biodiversity with crop production using a simulation model of weed growth and competition , 2007 .

[21]  Nathalie Colbach,et al.  Construction and evaluation of ALOMYSYS modelling the effects of cropping systems on the blackgrass life-cycle: From seedling to seed production , 2007 .

[22]  Niels Holst,et al.  Field weed population dynamics : a review of model approaches and applications , 2007 .

[23]  J. Weiner,et al.  Influence of sowing density and spatial pattern of spring wheat (Triticum aestivum) on the suppression of different weed species , 2006 .

[24]  P. Brain,et al.  The interaction between planting depth of four winter wheat cultivars, Alopecurus myosuroides Huds, and Bromus sterilis L. and their susceptibility to post-emergence applications of isoproturon and chlorotoluron , 2006 .

[25]  N. Colbach,et al.  AlomySys: Modelling black-grass (Alopecurus myosuroides Huds.) germination and emergence, in interaction with seed characteristics, tillage and soil climate: I. Construction , 2006 .

[26]  V. Balasubramanian,et al.  Suppressing Weeds in Direct‐seeded Lowland Rice: Effects of Methods and Rates of Seeding , 2005 .

[27]  N. Colbach,et al.  How to model the effects of farming practices on weed emergence , 2005 .

[28]  M. Monsi,et al.  On the factor light in plant communities and its importance for matter production. 1953. , 2004, Annals of botany.

[29]  M. Cavigelli,et al.  Weed seedbank dynamics in three organic farming crop rotations , 2004 .

[30]  Niels Holst,et al.  Computer model for simulating the long-term dynamics of annual weeds: from seedlings to seeds , 2003 .

[31]  P. Lutman.  Estimation of seed production by Stellaria media, Sinapis arvensis and Tripleurospermum inodorum in arable crops , 2002 .

[32]  J. Cavero,et al.  The relevance of morphological plasticity in the simulation of competition between maize and Datura stramonium , 2002 .

[33]  N. Boatman,et al.  Ecological impacts of arable intensification in Europe. , 2001, Journal of environmental management.

[34]  Hans W. Griepentrog,et al.  Suppression of weeds by spring wheat Triticum aestivum increases with crop density and spatial uniformity , 2001 .

[35]  M. Kropff,et al.  Modelling field emergence patterns in arable weeds. , 2000, The New phytologist.

[36]  G. Johnson,et al.  Spatial and temporal stability of weed populations over five years , 2000, Weed Science.

[37]  Jean-Noël Aubertot,et al.  Emergence of seedlings of sugar beet (Beta vulgaris L.) as affected by the size, roughness and position of aggregates in the seedbed , 2000, Plant and Soil.

[38]  J. Chave.  Study of structural, successional and spatial patterns in tropical rain forests using TROLL, a spatially explicit forest model , 1999 .

[39]  Joe T. Ritchie,et al.  Low-Temperature Tolerance in Cereals: Model and Genetic Interpretation , 1999 .

[40]  G. D. Snoo,et al.  Effect of herbicide drift on adjacent boundary vegetation , 1999 .

[41]  Sylvie Recous,et al.  Azodyn: a simple model simulating the date of nitrogen deficiency for decision support in wheat fertilization , 1999 .

[42]  J. Gouis,et al.  Nitrogen uptake and utilisation efficiency of two-row and six-row winter barley cultivars grown at two N levels , 1999 .

[43]  P. Debaeke,et al.  Integrating crop management and crop rotation effects into models of weed population dynamics: a review , 1998, Weed Science.

[44]  F. Forcella.  Real-time assessment of seed dormancy and seedling growth for weed management , 1998, Seed Science Research.

[45]  M. Andersen,et al.  Development and evaluation of a CERES-type model for winter oilseed rape , 1998 .

[46]  M. K. van Ittersum,et al.  Model-based explorations to support development of sustainable farming systems: case studies from France and the Netherlands , 1997 .

[47]  C. J. Doyle,et al.  A review of the use of models of weed control in Integrated Crop Protection , 1997 .

[48]  Nicholas R. Jordan,et al.  Simulation Analysis of Weed Population Dynamics in Ridge-Tilled fields , 1993, Weed Science.

[49]  F. Forcella.  Seedling emergence model for velvetleaf , 1993 .

[50]  Martin J. Kropff,et al.  An eco-physiological model for interspecific competition, applied to the influence of Chenopodium album L. on sugar beet. I : Model description and parameterization , 1992 .

[51]  J. M. van Groenendael,et al.  Patchy distribution of weeds and some implications for modelling population dynamics: a short literature review , 1988 .

[52]  F. Forcella,et al.  Movement and Germination of Weed Seeds in Ridge-Till Crop Production Systems , 1988, Weed Science.

[53]  D. Roberts.  Duration of hardening and cold hardiness in winter wheat , 1979 .

[54]  N. Munier-Jolain,et al.  Investigating and modelling the morphological plasticity of weeds , 2014 .

[55]  N. Crossman,et al.  Crop row orientation induced photo-sensory effect on the competitive interactions of crops and weeds. , 2006 .

[56]  Christine Aubry,et al.  DéciBlé, a software package for wheat crop management simulation , 2005 .

[57]  N. Colbach,et al.  Influence of crop management on eyespot development and infection cycles of winter wheat , 2004, European Journal of Plant Pathology.

[58]  A. Diggle,et al.  What is the impact of harvesting technology on the spread of new weeds in cropping systems , 2004 .

[59]  Senthold Asseng,et al.  An overview of APSIM, a model designed for farming systems simulation , 2003 .

[60]  H. Sinoquet,et al.  An overview of the crop model STICS , 2003 .

[61]  S. Recous,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 , 1998 .

[62]  Clarence J. Swanton,et al.  Integrated weed management and weed species diversity , 1994 .

[63]  M. Monsi.  Uber den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung fur die Stoffproduktion , 1953 .