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

European Journal of Agronomy

Volumn 53, Issue , 2014, Pages 74-89

  Colbach, Nathalie ^a   Collard, Alban ^a   Guyot, Sébastien H M ^a   Mézière, Delphine ^a   Munier Jolain, Nicolas ^a  

^a UNIV BOURGOGNE FRANCHE COMTÉ   (France)

Author keywords

3D canopy; Crop sowing; Crop:weed competition; Cropping system; Individual based; Model

Indexed keywords

AGRICULTURAL PRACTICE; ASSESSMENT METHOD; BIOACCUMULATION; BIOLOGICAL CONTROL; COMPETITION (ECOLOGY); CROP YIELD; ECOLOGICAL MODELING; EMERGENCE; GERMINATION; HOMOGENEITY; MATURATION; NUMERICAL MODEL; PHENOLOGY; SEEDLING; SOWING; SURVIVAL; TEMPERATURE EFFECT; WEED CONTROL; YIELD RESPONSE;

HORDEUM;

EID: 84891658604     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eja.2013.09.019     Document Type: Article

References (71)

1. Aubertot J.N., 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 2013, (submitted for publication).
2. Blair A.M., Martin T.D., Brain P., Cotterill E.G. The interaction between planting depth of 4 winter-wheat cultivars, Alopecurus-myosuroides Huds and Bromus-sterilis L. and their susceptibility to postemergence applications of isoproturon and chlorotoluron. Weed Research 1991, 31:285-293.
3. Bourgeois A., Gaba S., Munier-Jolain N., Borgy B., Monestiez P., Soubeyrand S. Inferring weed spatial distribution from multi-type data. Ecological Modelling 2012, 226:92-98.
4. Brisson N., Mary B., Ripoche D., Jeuffroy M.H., Ruget F., Nicoullaud B., Gate P., Devienne-Barret F., Antonioletti R., Dürr C., Richard G., Beaudoin N., Recous S., Tayot X., Plenet D., Cellier P., Machet J.M., Meynard J.M., Delecolle R. 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 1998, 18:311-346.
5. Brisson N., Gary C., Justes E., Roche R., Mary B., Ripoche D., Zimmer D., Sierra J., Bertuzzi P., Burger P., Bussiere F., Cabidoche Y.M., Cellier P., Debaeke P., Gaudillere J.P., Henault C., Maraux F., Seguin B., Sinoquet H. An overview of the crop model STICS. European Journal of Agronomy 2003, 18:309-332.
6. Cavero J., Zaragoza C., Bastiaans L., Suso M.L., Pardo A. The relevance of morphological plasticity in the simulation of competition between maize and Datura stramonium. Weed Research 2000, 40:163-180.
7. Chatelin M.H., Aubry C., Poussin J.C., Meynard J.M., Masse J., Verjux N., Gate P., Le Bris X. DéciBlé, a software package for wheat crop management simulation. Agricultural Systems 2005, 83:77-99.
8. Chave J. Study of structural, successional and spatial patterns in tropical rain forests using TROLL, a spatially explicit forest model. Ecological modelling 1999, 124:233-254.
9. Clements D.R., Weise S.F., Swanton C.J. Integrated weed management and weed species diversity. Phytoprotection 1994, 75:1-18.
10. 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.
11. Colbach N., Saur L. Influence of crop management on eyespot development and infection cycles of winter wheat. European Journal of Plant Pathology 1998, 104:37-48.
12. Colbach N., Forcella F., Johnson G.A. Temporal trends in spatial variability of weed populations in continuous no-till soybean. Weed Science 2000, 48:366-377.
13. 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.
14. 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. European Journal of Agronomy 2006, 24:113-128.
15. 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. European Journal of Agronomy 2006, 24:95-112.
16. Colbach N., Chauvel B., Gauvrit C., Munier-Jolain N.M. 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.
17. Colbach N., Granger S., Munier-Jolain N.M. Using weed dynamics models for evaluating and developing integrated cropping systems. XIIIème Colloque international sur la biologie des mauvaises herbes 2009, 195-205.
18. 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.
19. Colbach N., Kurstjens D.A.G., Munier-Jolain N.M., Dulout-Dalbiès A., Doré T. Assessing non-chemical weeding strategies through a modelling approach applied to blackgrass (Alopecurus myosuroides Huds.) dynamics. European Journal of Agronomy 2010, 32:205-218.
20. Colbach N., Granger S., Guyot S.H.M., Mézière D. A trait-based approach to explain weed species response to agricultural practices in a simulation study with a cropping system model. Agriculture, Ecosystems & Environment 2013, 18:309-332.
21. Corre-Hellou G., Dibet A., Hauggaard-Nielsen H., Crozat Y., Gooding M., Ambus P., Dahlmann C., von Fragstein P., Pristeri A., Monti M., Jensen E.S. The competitive ability of pea-barley intercrops against weeds and the interactions with crop productivity and soil N availability. Field Crops Research 2011, 122:264-272.
22. de Snoo G.R., van der Poll R.J. Effect of herbicide drift on adjacent boundary vegetation. Agriculture, Ecosystems & Environment 1999, 73:1-6.
23. Donatelli M., Marchetti R. A multi-crop submodel to predict emergence time: model definition and preliminary testing. 3rd ESA Congress 1994, 350-351.
24. Doyle C.J. A review of the use of models of weed control in integrated crop protection. Agriculture, Ecosystems & Environment 1997, 64:165-172.
25. Dürr C., Aubertot J.N. Emergence of seedlings of sugar beet (Beta vulgaris L.) as affected by the size, roughness and position of aggregates in the seedbed. Plant and Soil 2000, 219:211-220.
26. Fayaud B., Coste F., Corre-Hellou G., Gardarin A., Dürr C. Early growth in intercrops: an experimental and simulation approach for a range of species under different sowing conditions. ESA 2012, 54-55.
27. Fogelfors H. Collection of chaff, awns and straw when combining and its influence on the seed bank and the composition of the weed flora. Weeds and weed control: 23rd Swedish Weed Confernce 1982, 339-345.
28. Forcella F., Lindstrom M.J. Movement and germination of weed seeds in ridge-till crop production systems. Weed Science 1988, 36:56-59.
29. Forcella F. Seedling emergence model for velvetleaf. Agronomy Journal 1993, 85:929-933.
30. Forcella F. Real-time assessment of seed dormancy and seedling growth for weed management. Seed Science Research 1998, 8:201-209.
31. Fowler D.B., Limin A.E., Gusta L.V. Low-temperature tolerance in cereals: model and genetic interpretation. Crop Science 1999, 39:626-633.
32. Gabrielle B., Denoroy P., Gosse G., Justes E., Andersen M.N. Development and evaluation of a CERES-type model for winter oilseed rape. Field Crops Research 1998, 57:95-111.
33. 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.
34. Gardarin A., Guillemin J.P., Munier-Jolain N.M., Colbach N. Estimation of key parameters for weed population dynamics models: base temperature and base water potential for germination. European Journal of Agronomy 2010, 32:162-168.
35. Gardarin A., Dürr C., Colbach N. Modeling the dynamics and emergence of a multispecies weed seed bank with species traits. Ecological Modelling 2012, 240:123-138.
36. Gardarin A., Colbach N. How much of seed dormancy in weeds can be explained by seed traitsα. Weed Research 2013, (submitted for publication).
37. Holst N., Rasmussen I.A., Bastiaans L. Field weed population dynamics: a review of model approaches and applications. Weed Research 2007, 47:1-14.
38. Jeuffroy M.H., Recous S. Azodyn: a simple model simulating the date of nitrogen deficiency for decision support in wheat fertilization. European Journal of Agronomy 1999, 10:129-144.
39. Jordan N. Simulation analysis of weed population dynamics in ridge-tilled fields. Weed Science 1993, 41:468-474.
40. Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Huth N.I., Hargreaves J.N.G., Meinke H., Hochman Z., McLean G., Verburg K., Snow V., Dimes J.P., Silburn M., Wang E., Brown S., Bristow K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., Smith C.J. An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 2003, 18:267-288.
41. Kolb L.N., Gallandt E.R., Mallory E.B. Impact of spring wheat planting density, row spacing, and mechanical weed control on yield, grain protein, and economic return in Maine. Weed Science 2012, 60:244-253.
42. Kristensen L., Olsen J., Weiner J. Crop density, sowing pattern, and nitrogen fertilization effects on weed suppression and yield in spring wheat. Weed Science 2008, 56:97-102.
43. Kropff M.J., Spitters C.J.T. An ecophysiological model for interspecific competition, applied to the influence of Chenopodium album L. on sugar-beet. 1. Model description and parameterization. Weed Research 1992, 32:437-450.
44. Le Gouis J., Delebarre O., Beghin D., Heumez E., Pluchard P. Nitrogen uptake and utilisation efficiency of two-row and six-row winter barley cultivars grown at two N levels. European Journal of Agronomy 1999, 10:73-79.
45. Loyce C., Meynard J.M., Bouchard C., Rolland B., Lonnet P., Bataillon P., Bernicot M.H., Bonnefoy M., Charrier X., Debote B., Demarquet T., Duperrier B., Félix I., Heddadj D., Leblanc O., Leleu M., Mangin P., Méausoone M., Doussinault G. Growing winter wheat cultivars under different management intensities in France: a multicriteria assessment based on economic, energetic and environmental indicators. Field Crops Research 2012, 125:167-178.
46. Lutman P.J.W. Estimation of seed production by Stellaria media, Sinapis arvensis and Tripleurospermum inodorum in arable crops. Weed Research 2002, 42:359-369.
47. Monjardino M., Diggle A., Moore J. What is the Impact of Harvesting Technology on the Spread of New Weeds in Cropping Systemsα 2004, 580-583. Weed Society of New South Wales, Sydney, Australia.
48. Monsi M., Saeki T. Über den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung für die Stoffproduktion. Japanese Journal of Botany 1953, 14:22-52.
49. Monsi M., Saeki T. On the factor light in plant communities and its importance for matter production. Annals of Botany 2005, 95:549-567.
50. Moreau D., Milard G., Munier-Jolain N. A plant nitrophily index based on plant leaf area response to soil nitrogen availability. Agronomy for Sustainable Development 2013, 33:809-815.
51. Munier-Jolain N.M., Savois V., Kubiak P., Maillet-Mézeray J., Jouy L., Quéré L. DECID'Herb, a decision support system on the WEB, designed for sustainable weed management in cultivated fields. 13th International EWRS Symposium 2005.
52. Munier-Jolain N.M., Guyot S.H.M., Colbach N. A 3D model for light interception in heterogeneous crop:weed canopies. Model structure and evaluation. Ecological Modelling 2013, 250:101-110.
53. Munier-Jolain N.M., Collard A., Busset H., Guyot S.H.M., Colbach N. Investigating and modelling the morphological plasticity of weeds. Field Crops Research 2014, 155:90-98. 10.1016/j.fcr.2013.09.018.
54. Olsen J., Kristensen L., Weiner J. Influence of sowing density and spatial pattern of spring wheat (Triticum aestivum) on the suppression of different weed species. Weed Biology and Management 2006, 6:165-173.
55. Oury F.-X., Godin C., Mailliard A., Chassin A., Gardet O., Giraud A., Heumez E., Morlais J.-Y., Rolland B., Rousset M., Trottet M., Charmet G. A study of genetic progress due to selection reveals a negative effect of climate change on bread wheat yield in France. European Journal of Agronomy 2012, 40:28-38.
56. Pathan S., Hashem A., Borger C. Crop row orientation induced photo-sensory effect on the competitive interactions of crops and weeds 2006, 351-354.
57. Petit S., Alignier A., Colbach N., Joannon A., Le Coeur D., Thenail C. Weed dispersal by farming at various spatial scales. A review. Agronomy for Sustainable Development 2013, 33:205-217.
58. Phuong L.T., Denich M., Vlek P.L.G., Balasubramanian V. Suppressing weeds in direct-seeded lowland rice: effects of methods and rates of seeding. Journal of Agronomy and Crop Science 2005, 191:185-194.
59. Pollnac F.W., Rew L.J., Maxwell B.D., Menalled F.D. Spatial patterns, species richness and cover in weed communities of organic and conventional no-tillage spring wheat systems. Weed Research 2008, 48:398-407.
60. Rasmussen I.A., Holst N. Computer model for simulating the long-term dynamics of annual weeds: from seedlings to seeds. Aspects of Applied Biology, Association of Applied Biologists 2003.
61. Roberts D.W.A. Duration of hardening and cold hardiness in winter wheat. Canadian Journal of Botany 1979, 57:1511-1517.
62. Rossing W.A.H., Meynard J.M., van Ittersuma M.K. Model-based explorations to support development of sustainable systems: case studies from France and the Netherlands. European Journal of Agronomy 1997, 7:271-283.
63. Soussana J.F., Maire V., Gross N., Bachelet B., Pages L., Martin R., Hill D., Wirth C. Gemini: a grassland model simulating the role of plant traits for community dynamics and ecosystem functioning. Parameterization and evaluation. Ecological Modelling 2012, 231:134-145.
64. Stoate C., Boatman N.D., Borralho R.J., Carvalho C.R., de Snoo G.R., Eden P. Ecological impacts of arable intensification in Europe. Journal of Environmental Management 2001, 63:337-365.
65. Storkey J., Cussans J.W. Reconciling the conservation of in-field biodiversity with crop production using a simulation model of weed growth and competition. Agriculture, Ecosystems & Environment 2007, 122:173-182.
66. Teasdale J.R., Mangum R.W., Radhakrishnan J., Cavigelli M.A. Weed seedbank dynamics in three organic farming crop rotations. Agronomy Journal 2004, 96:1429-1435.
67. Van Groenendael J.M. Patchy distribution of weeds and some implications for modelling population dynamics: a short literature review. Weed Research 1988, 28:437-441.
68. Vleeshouwers L.M., Kropff M.J. Modelling field emergence patterns in arable weeds. New Phytologist 2000, 148:445-457.
69. Waggoner J.K., Henneberger P.K., Kullman G.J., Umbach D.M., Kamel F., Beane Freeman L.E., Alavanja M.C.R., Sandler D.P., Hoppin J.A. Pesticide use and fatal injury among farmers in the Agricultural Health Study. International Archives of Occupational and Environmental Health 2012, 10.1007/s00420-012-0752-x.
70. Wallach D., Keussayan N., Brun F., Lacroix B., Bergez J.E. Assessing the uncertainty when using a model to compare irrigation strategies. Agronomy Journal 2012, 104:1274-1283.
71. Weiner J., Griepentrog H.W., Kristensen L. Suppression of weeds by spring wheat Triticum aestivum increases with crop density and spatial uniformity. Journal of Applied Ecology 2001, 38:784-790.