Skip to main content
Log in

Weed Growth Properties of Amaranthus Retroflexus, Echinochloa Crus-Galli and Setaria Viridis as Influenced by Shifts in the Maize Cropping Season

  • Published:
Journal of Plant Diseases and Protection Aims and scope Submit manuscript

Abstract

Climate change is predicted to result in rising temperatures which directly influence weed growth. Moreover, alterations in farming practice and variations in the timing of maize sowing affect weeds also indirectly. The main objective of this study was to establish the methodological concept of time-for-climate substitution for use in applied research. For this purpose, a semi-field experiment was conducted with the three important maize weeds Amaranthus retroflexus, Echinochloa crus-galli and Setaria viridis, which were cropped together with maize. In four treatments sowing of weeds was delayed in order to use naturally raising temperatures. This study focusses on late weed growth properties such as tillers, panicles, seeds and biomass as they allow important demographic conclusions for long-term weed population development. Over the season, temperature was continuously monitored with data loggers and growing degree days were calculated in order to relate the late growth properties to the climatic conditions the weeds experienced during early growth in the four treatments. The results from this study suggest that the tested weeds may benefit in two ways: (1) From warmer conditions during seedling emergence and early growth with enhanced vegetative growth and seed set; (2) from more growing degree days available as a result of earlier maize sowing and related extended cropping seasons. We conclude that our methodology is suitable to investigate climate change effects on weeds for applied questions. In order to limit weed growth and weed seed set under future conditions, management measures such as herbicide treatments at later growth stages and earlier harvest of maize should be explored. Furthermore, we suggest that functional relationships between late weed growth properties such as fecundity and different climatic conditions can be used to improve the accuracy of demographic and bioclimatic models.

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

  • Baker HG, 1974. The evolution of weeds. Annu Rev Ecol Syst 5, 1–24.

    Article  Google Scholar 

  • Beckie HJ & Tardif FJ, 2012. Herbicide cross resistance in weeds. Crop Prot 35, 15–28.

    Article  CAS  Google Scholar 

  • Bloomfield JP, Williams RJ, Gooddy DC, Cap JN & Guha P,2006. Impacts of climate change on the fate and behaviour of pesticides in surface and groundwater — a UK perspective. Sci Total Environ 369, 163–177.

    Article  CAS  PubMed  Google Scholar 

  • Breitsameter L, Bürger J, Peters K, Gerowitt B & Steinmann HH, 2014. Klimafolgenforschung zu Ackerunkräutern -Daten, Methoden und Anwendungen auf verschiedenen Skalen. Julius-Kühn-Archiv 443, 123–132.

    Google Scholar 

  • Chauhan BS & Johnson DE, 2011. Ecological studies on Echinochloa crus-galli and the implications for weed management in direct-seeded rice. Crop Prot 30, 1385–1391.

    Article  Google Scholar 

  • Clements DR, DiTommaso A, Jordan N, Booth BD, Cardina J & Doohan D et al., 2004. Adaptability of plants invading North American cropland. Agric Ecosyst Environ 104, 379398.

    Google Scholar 

  • Costea M, Weaver SE & Tardif FJ, 2004. The biology of Canadian weeds. 130. Amaranthus retroflexus L., A. powellii S. Watson and A. hybridus L.. Can J Plant Sci 84, 631–668.

    Article  Google Scholar 

  • Cousens R & Mortimer M, 1995. Dynamics of weed populations. Cambridge University Press (pp. 21–54), Cambridge.

    Book  Google Scholar 

  • Crawley MJ, 2003. Statistical Computing — An introduction to data analysis using S-Plus. Wiley.

    Google Scholar 

  • Dekker J, 2003. The foxtail (Setaria) species-group. Weed Sci51, 641–656.

    Article  Google Scholar 

  • Dorado J, Sousa E, Calha IM & González, 2009. Predicting weed emergence in maize crops under two contrasting climatic conditions. Weed Res 49, 251–260.

    Article  Google Scholar 

  • Dukes JS, 2007. Tomorrow’s plant communities: different, but how? New Phytol 176, 237–241.

    Article  Google Scholar 

  • Estrella N, Sparks TH & Menzel A, 2009. Effects of temperature, phase type and timing, location, and human density on plant phenological responses in Europe. Clim Res 39,235–248.

    Article  Google Scholar 

  • Faraway JJ, 2006. Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models. Chapman & Hall/CRC.

    Google Scholar 

  • Fried G, Petit S & Reboud X, 2010. A specialist-generalist classification of the arable flora and its response to changes in agricultural practices. BMC Ecology 10, 1–11.

    Article  Google Scholar 

  • Forcella F, Colbach N & Kegode GO, 2000. Estimating seed production of three Setaria species in row crops. Weed Sci 48, 436–444.

    Article  CAS  Google Scholar 

  • Fordham DA, Mellin C, Russell BD, Akyakaya RH, Bradshaw CJA & Aiello-Lammens ME, et al., 2013. Population dynamics can be more important than physiological limits for determining range shifts under climate change. Glob Change Biol 19, 3224–3237.

    Article  Google Scholar 

  • Gardarin A, Dürr C & Colbach N, 2009. Which model species for weed seedbank and emergence studies? A review. Weed Res 49, 117–130.

    Article  Google Scholar 

  • Holst N, Rasmussen IA & Bastiaans L, 2007. Field weed population dynamics: a review of model approaches and applications. Weed Res 47, 1–14.

    Article  Google Scholar 

  • Ihaka R & Gentleman R, 1996. R: A Language for data analysis and graphics. J Comput Graph Stat 5, 299–314.

    Google Scholar 

  • IPCC, 2013. 5th Assessment Report (AR5), Climate Change 2013: The Physical Science Basis (pp. 2216): Geneva, Switzerland: Intergovernmental Panel on Climate Change. Retrieved from http://www.ipcc.ch/.

    Google Scholar 

  • Jentsch A, Kreyling J, Boettcher-Treschkow J & Beierkuhnlein C, 2009. Beyond gradual warming: extreme weather events alter flower phenology of European grassland and heath species. Glob Change Biol 15, 837–849.

    Article  Google Scholar 

  • Knezevic SZ, Vanderlip RL & Horak MJ, 2001. Relative time of redroot pigweed emergence affects dry matter partitioning. Weed Sci 49, 617–621.

    Article  CAS  Google Scholar 

  • Laubhan MK & Fredrickson LH, 1992. Estimating seed production of common plants in seasonally flooded wetlands. J Wildl Manage 56, 329–337.

    Article  Google Scholar 

  • Lloret F, Médail F, Brundu G, Camarda I, Moragues E, Rita J, Lambdon P & Hulme PE, 2005. Species attributes and invasion success by alien plants on Mediterranean islands. J Ecol 93, 512–520.

    Article  Google Scholar 

  • Masin R, Loddo D, Benvenuti S, Zuin MC, Macchia M & Zanin G, 2010. Temperature and water potential as parameters for modeling weed emergence in Central-Northern Italy.Weed Sci 58, 216–222.

    Article  CAS  Google Scholar 

  • Maun MA & Barrett SCH, 1986. The Biology of Canadian Weeds. 77. Echinochloa crus-galli (L.) Beauv. Can J Plant Sci 66, 739–759.

    Article  Google Scholar 

  • Mehrtens J, Schulte M & Hurle K, 2005. Unkrautflora in Mais — Ergebnisse eines Monitorings in Deutschland. Ges Pflanz 57, 206–218.

    Article  Google Scholar 

  • Menzel A, Jakobi G, Ahas R, Scheifinger H & Estrella N, 2003. Variations of the climatological growing season (1951-2000) in Germany compared with other countries. Int J Climatol 23, 793–812.

    Article  Google Scholar 

  • Olesen JE & Bindi M, 2002. Consequences of climate change for European agricultural productivity, land use and policy.Eur J Agron 16, 239–262.

    Article  Google Scholar 

  • Otte A, 1990. Die Entwicklung von Ackerwildkraut-Gesellschaften auf Böden mit guter Ertragsfähigkeit nach dem Aussetzen von Unkrautregulierungsmaßnahmen. Phytocoenologia 19, 43–92.

    Article  Google Scholar 

  • Otte A, Bissels S Waldhardt R, 2006. Samen-, Keimungs-und Habitateigenschaften: Welche Parameter erklären Veränderungstendenzen in der Häufigkeit von Ackerwild-kräutern in Deutschland? J Plant Dis Protect, Special Issue XX, 507–516.

    Google Scholar 

  • Patterson DT, Westbrook JK, Joyce RJV, Lingren PD & Rogasik J, 1999. Weeds, insects and diseases. Clim Chang 43, 711–727.

    Article  CAS  Google Scholar 

  • Peters K, Breitsameter L & Gerowitt B, 2014. Impact of climate change on weeds in agriculture. A review. Agron Sustain Dev 34, 707–721.

    Article  Google Scholar 

  • Peters K & Gerowitt B, 2014. Important maize weeds profit in growth and reproduction from climate change conditions represented by higher temperatures and reduced humidity. J Appl Bot Food Qual 87, 234–242.

    Google Scholar 

  • Robinson TMP & Gross KL, 2010. The impact of altered precipitation variability on annual weed species. Am J Bot 97,1625–1629.

    Article  PubMed  Google Scholar 

  • Sarabi V, Mahallati MN, Nezami A & Mohassel MHR, 2011. Effects of the relative time of emergence and the density of common lambsquarters (Chenopodium album) on corn (Zea mays) yield. Weed Biol Manag 11, 127–136.

    Article  Google Scholar 

  • Sauer JD, 1967. The grain Amaranths and their relatives: A revised taxonomic and geographic survey. Ann Mo Bot Gard 54, 103–137.

    Article  Google Scholar 

  • Steckel LE, Sprague CL, Stoller EW & Wax LM, 2004.Temperature effects on germination of nine Amaranthus species. Weed Sci 52, 217–221.

    Article  CAS  Google Scholar 

  • Storkey J, 2004. Modelling seedling growth rates of 18 temperate arable weed species as a function of the environment and plant traits. Ann Bot-London 93, 681–689.

    Article  CAS  Google Scholar 

  • Thuiller W, Lavorel S, Araujo MB, Sykes MT & Prentice IC, 2005. Climate change threats to plant diversity in Europe. PNAS 102 (23), 8245–8250. doi:10.1073/pnas.0409902102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Tubiello FN, Soussana J-F & Howden SM, 2007. Crop and pasture response to climate change. Proc Natl Acad Sci 104,19686–19690.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Walck JL, Hidayati SN, Dixon KW, Thompson K & Poschlod P, 2011. Climate change and plant regeneration from seed.Glob Change Biol 17, 2145–2161.

    Article  Google Scholar 

  • Weber E & Gut D, 2005. A survey of weeds that are increasingly spreading in Europe. Agron Sustain Dev 25, 109–121.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peters, K., Gerowitt, B. Weed Growth Properties of Amaranthus Retroflexus, Echinochloa Crus-Galli and Setaria Viridis as Influenced by Shifts in the Maize Cropping Season. J Plant Dis Prot 122, 49–55 (2015). https://doi.org/10.1007/BF03356530

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03356530

Key words

Navigation