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Prediction of germination rates of weed species: Relationships between germination speed parameters and species traits

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  • Gardarin, Antoine
  • Dürr, Carolyne
  • Colbach, Nathalie

Abstract

In fields, the timing of weed emergence flushes is mostly related to the timing and rate of seed germination, which depend on seed dormancy level, soil temperature and water potential conditions as well as soil tillage and crop sowing date. Seed germination parameters are essential in weed dynamics models to account for the effects of soil conditions on weed demography. Since these parameters are difficult to measure, our objective was to test the possibility of estimating them from easily accessible information. Seed germination parameters (germination lag-time, time to mid-germination and mid-germination rate) were measured or collected from the literature for 25 weed species with contrasted seed characteristics. Correlations were then searched for between these parameters and morphological, chemical and physiological seed traits as well as seed dormancy level. The dormancy level was positively correlated with speed of germination parameters. Earliness of germination was positively correlated with seed lipid content and the seed area to mass ratio. Germination was also earlier and faster in species with a high base temperature for germination. These relationships explained about half the observed variability in germination speed parameters but should be further tested before being used to predict the germination behaviour of weed species in the field in different seasons.

Suggested Citation

  • Gardarin, Antoine & Dürr, Carolyne & Colbach, Nathalie, 2011. "Prediction of germination rates of weed species: Relationships between germination speed parameters and species traits," Ecological Modelling, Elsevier, vol. 222(3), pages 626-636.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:3:p:626-636
    DOI: 10.1016/j.ecolmodel.2010.10.005
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    References listed on IDEAS

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    1. Sester, Mathilde & Dürr, Carolyne & Darmency, Henri & Colbach, Nathalie, 2007. "Modelling the effects of cropping systems on the seed bank dynamics and the emergence of weed beet," Ecological Modelling, Elsevier, vol. 204(1), pages 47-58.
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    Cited by:

    1. Ricci, Benoît & Petit, Sandrine & Allanic, Charlotte & Langot, Marie & Parisey, Nicolas & Poggi, Sylvain, 2018. "How effective is large landscape-scale planning for reducing local weed infestations? A landscape-scale modelling approach," Ecological Modelling, Elsevier, vol. 384(C), pages 221-232.
    2. Florence Tardy & Gaëlle Damour & Marc Dorel & Delphine Moreau, 2017. "Trait-based characterisation of soil exploitation strategies of banana, weeds and cover plant species," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-17, March.
    3. Gardarin, Antoine & Dürr, Carolyne & Colbach, Nathalie, 2012. "Modeling the dynamics and emergence of a multispecies weed seed bank with species traits," Ecological Modelling, Elsevier, vol. 240(C), pages 123-138.

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