Skip to main content
Log in

Weed flora distribution in Greek cotton fields and its possible influence by herbicides

  • Weed Science
  • Published:
Phytoparasitica Aims and scope Submit manuscript

Abstract

A weed survey methodology was used for 2 years in three provinces in Greece to determine the abundance and spatial distribution of weeds in cotton (Gossypium hirsutum L.) fields. Based on a stratified random sampling procedure, the most frequently occurring weeds were counted in 150 cotton fields. The field surveys were conducted late in the growing season; hence, the weed populations consisted of species that had been present during the critical competitive period for the crop and may have contributed to yield losses.Solanum nigrum was the most abundant weed in the surveyed fields of the southern province, followed byCyperus rotundus, Convolvulus arvensis, Xanthium strumarium, Chrozophora tinctoria andCynodon dactylon, in descending order. The ranked weed flora in the fields of the northern province was differentiated, suggesting the geographical distribution of weed species. The weedsDatura stramonium andS. nigrum were recorded in high abundance and followed byAmaranthus spp.,Abutilon theophrasti, Portulaca oleracea, Chenopodium album andXanthium spinosum, in descending order. Although the use of preplant incorporated herbicides is the dominant practice in cotton cultivation, certain weeds continue to spread in increasing densities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Anon. (1999) The Pesticide Manual. Ed. C. Tomlin. 11th ed. British Crop Protection Council, Farnham, Surrey, UK.

  2. Bilalis, D., Efthimiadis, P. and Sidiras, N. (2001) Influence of three tillage systems on weed flora in a 3-year rotation with four crops.J. Agron. Crop Sci. 186:135–141.

    Article  Google Scholar 

  3. Buhler, D.D. (1995) Influence of tillage systems on weed population dynamics and management in corn and soybean production in central USA.Crop Sci. 35:1247–1257.

    Google Scholar 

  4. Buhler, D.D., Liebman, M. and Obrycki, J.J. (2000) Theoretical and practical challenges to an IPM approach to weed management.Weed Sci. 48:274–280.

    Article  CAS  Google Scholar 

  5. Chandler, J.M. (1977) Competition of spurred anoda, velvetleaf, prickly sida and venice mallow in cotton.Weed Sci. 25:151–158.

    Google Scholar 

  6. Cousens, R., Peters, N.C.B. and Marshall, C.J. (1984) Models of yield loss-weed density relationships.Proc. 7th Int. Symp. on Weed Biology, Ecology and Systematics (Paris, France), pp. 367–374.

  7. Damanakis, M. (1983) The weeds of wheat crop in Greece — Survey during 1982–1983.Zizaniology 1:85–90.

    Google Scholar 

  8. Derkson, D.A., Lafond, G.P., Thomas, A.G., Loeppky, H.A. and Swanton, C.J. (1993) Impact of agronomic practices on weed communities: tillage systems.Weed Sci. 41:409–417.

    Google Scholar 

  9. Economou, G. and Giannopolitis, C. (1998) Weed survey system in cotton crops of central Greece.Proc. 10th Symp. Weed Research Society (Montpellier, France), pp. 223–224.

  10. Egley, G.H. and Williams, R.D. (1991) Emergence periodicity of six summer annual weed species.Weed Sci. 39:595–600.

    Google Scholar 

  11. Forcella, F.R., Wilson, R.G. and Dekker, J. (1997) Weed seed bank emergence across the corn belt.Weed Sci. 45:67–76.

    CAS  Google Scholar 

  12. Hance, R.J. and Holly, K. (1990) The properties of herbicides.in: Hance, R.J. and Holly, K. [Eds.] Weed Control Handbook: Principles. 8th ed. British Crop Protection Council, Farnham, Surrey, UK. pp. 75–125.

    Google Scholar 

  13. Johnson, G.A., Mortensen, D.A. and Martin, A.R. (1995) A simulation of herbicides use based on weed spatial distribution.Weed Res. 35:197–205.

    Article  Google Scholar 

  14. Keeley, P.E. and Thullen, R.J. (1983) Influence of planting date on the growth of black nightshade (Solanum nigrum).Weed Sci. 31:180–184.

    Google Scholar 

  15. Kremer, E. and Lotz, L.A.P. (1998) Germination and emergence characteristics of triazine-susceptible and triazine-resistant biotypes ofSolanum nigrum.J. Appl. Biol. 35:302–310.

    Google Scholar 

  16. Meissner, R., Nel, P.C. and Beyers, E.A. (1989) Allelopathic effect ofCynodon dactylon infested soil on early growth of certain species.Appl. Plant Sci. 3:125–126.

    Google Scholar 

  17. Oliver, L.R., Chandler, J.M. and Buchanan, G.A. (1991) Influence of geographic region on jimsonweed (Datura stramonium) competition in soybeans and cotton.Proc. South. Weed Sci. Soc. 34:260.

    Google Scholar 

  18. Oliver, L.R., Chandler, J.M. and Buchanan, G.A. (1991) Influence of geographic region on jimsonweed (Datura stramonium) interference in soybeans (Glycine max) and cotton (Gossypium hirsutum).Weed Sci. 39:585–589.

    Google Scholar 

  19. Papamichail, D., Eleftherohorinos, I., Froud-Williams, R. and Gravanis, F. (2002) Critical periods of weed competition in cotton in Greece.Phytoparasitica 30:105–111.

    Google Scholar 

  20. Putwain, P.D. (1990) The resistance of plants to herbicides.in: Hance, R.J. and Holly, K. [Eds.] Weed Control Handbook: Principles. 8th ed. British Crop Protection Council, Farnham, Surrey, UK. pp. 217–242.

    Google Scholar 

  21. Roberts, H.A. (1984) Crop and weed emergence patterns in relation to time of cultivation and rainfall.Ann. Appl. Biol. 105:263–275.

    Article  Google Scholar 

  22. Scott, G.H., Askew, S.D., Wilcut, J.W. and Brownie, C. (2000)Datura stramonium interference and seed rain inGossypium hirsutum.Weed Sci. 48:613–617.

    Article  CAS  Google Scholar 

  23. Smith, B.S., Murray, D.S. and Weeks, D.L. (1990) Velvetleaf (Abutilon theophrasti) interference with cotton (Gossypium hirsutum).Weed Technol. 4:799–803.

    Google Scholar 

  24. Spencer, N.R. (1984) Velvetleaf,Abutilon theophrasti (Malvaceae), history and economic impact in the United States.Econ. Bot. 38:407–416.

    Google Scholar 

  25. Stoller, E.W. and Woolley, J.T. (1985) Competition for light by broadleaf weeds in soybeans (Glycine max).Weed Sci. 33:199–202.

    Google Scholar 

  26. Thomas, A.G. (1985) Weed survey system used in Saskatchewan for cereal and oilseed crops.Weed Sci. 33:34–43.

    Google Scholar 

  27. Thomas, A.G. and Ivary, J.A. (1990) The weed flora of Prince Edward Island cereal fields.Weed Sci. 38:119–124.

    Google Scholar 

  28. Vasilakoglou, I., Dhima, K. and Eleftherohorinos, I. (2005) Allelopathic potential of bermudagrass and johnsongrass and their interference with cotton and corn.Agron. J. 97:303–312.

    Google Scholar 

  29. Wiles, L.J., Wilkerson, G.G., Gold, H.J. and Coble, H.D. (1992) Modeling weed distribution for improved postemergence control decisions.Weed Sci. 40:546–553.

    Google Scholar 

  30. Wrucke, M.A. and Arnold, E. (1985) Weed species distribution as influenced by tillage and herbicides.Weed Sci. 33:853–856.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. Economou.

Additional information

http://www.phytoparasitica.org posting July 26, 2005.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Economou, G., Bilalis, D. & Avgoulas, C. Weed flora distribution in Greek cotton fields and its possible influence by herbicides. Phytoparasitica 33, 406–419 (2005). https://doi.org/10.1007/BF02981309

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02981309

Key words

Navigation