IDEAS home Printed from https://ideas.repec.org/a/caa/jnlpse/v66y2020i8id82-2020-pse.html
   My bibliography  Save this article

Sowing ratio, NS fertilisation and interactions of Lolium sp. and Festulolium grown in mixtures with Trifolium repens

Author

Listed:
  • Beata Grygierzec

    (Department of Agroecology and Plant Production, University of Agriculture in Krakow, Kraków, Poland)

  • Kamila Musiał

    (Department of Production Systems and Environment, National Research Institute of Animal Production, Balice, Poland)

  • Lidia Luty

    (Department of Statistics and Social Policy, University of Agriculture in Krakow, Kraków, Poland)

Abstract

Current ecological trends for production of forage for livestock indicate a need for small usage of fertilisers while increasing productivity. The study aimed to assess yield and interactions of selected Lolium and Festulolium species grown in mixtures with Trifolium repens and fertilised with NS, regarding mutual interactions based on available indicators. A two-year field study (2016-2017) was carried out in southern Poland and the research objects were designed on degraded chernozems. The highest yield was observed for mixtures: L. multiflorum + T. repens and L. × boucheanum + T. repens sown in the proportion 50:50, fertilised with N50S15. The mean dry matter yield was higher in the 1st year of the study, in all variants of fertilisation and types of mixtures. The land equivalent ratio differed for species in individual objects, for individual cuts and study years, and was most often higher than 1.0, which points to a positive interference between species in mixtures. Also, the competitive ratio index was often higher than 1.0, which means that grass species were more competitive than white clover. However, in the second year of study T. repens was dominant in multiple objects.

Suggested Citation

  • Beata Grygierzec & Kamila Musiał & Lidia Luty, 2020. "Sowing ratio, NS fertilisation and interactions of Lolium sp. and Festulolium grown in mixtures with Trifolium repens," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 66(8), pages 395-402.
  • Handle: RePEc:caa:jnlpse:v:66:y:2020:i:8:id:82-2020-pse
    DOI: 10.17221/82/2020-PSE
    as

    Download full text from publisher

    File URL: http://pse.agriculturejournals.cz/doi/10.17221/82/2020-PSE.html
    Download Restriction: free of charge

    File URL: http://pse.agriculturejournals.cz/doi/10.17221/82/2020-PSE.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/82/2020-PSE?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. B. Grygierzec & L. Luty & K. Musiał, 2015. "The efficiency of nitrogen and sulphur fertilization on yields and value of N:S ratio for Lolium × boucheanum," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 61(3), pages 137-143.
    2. B. Kramberger & A. Gselman & M. Podvršnik & J. Kristl & M. Lešnik, 2013. "Environmental advantages of binary mixtures of Trifolium incarnatum and Lolium multiflorum over individual pure stands," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 59(1), pages 22-28.
    3. Lazzarotto, P. & Calanca, P. & Fuhrer, J., 2009. "Dynamics of grass–clover mixtures—An analysis of the response to management with the PROductive GRASsland Simulator (PROGRASS)," Ecological Modelling, Elsevier, vol. 220(5), pages 703-724.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Soussana, Jean-François & Maire, Vincent & Gross, Nicolas & Bachelet, Bruno & Pagès, Loic & Martin, Raphaël & Hill, David & Wirth, Christian, 2012. "Gemini: A grassland model simulating the role of plant traits for community dynamics and ecosystem functioning. Parameterization and evaluation," Ecological Modelling, Elsevier, vol. 231(C), pages 134-145.
    2. Finger, Robert & Lazzarotto, Patrick & Calanca, Pierluigi, 2010. "Bio-economic assessment of climate change impacts on managed grassland production," Agricultural Systems, Elsevier, vol. 103(9), pages 666-674, November.
    3. Annett Wolf & Patrick Lazzarotto & Harald Bugmann, 2012. "The relative importance of land use and climatic change in Alpine catchments," Climatic Change, Springer, vol. 111(2), pages 279-300, March.
    4. Moulin, Thibault & Perasso, Antoine & Gillet, François, 2018. "Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness," Ecological Modelling, Elsevier, vol. 374(C), pages 22-36.
    5. Moulin, Thibault & Perasso, Antoine & Calanca, Pierluigi & Gillet, François, 2021. "DynaGraM: A process-based model to simulate multi-species plant community dynamics in managed grasslands," Ecological Modelling, Elsevier, vol. 439(C).
    6. Lieffering, Mark & Newton, Paul C.D. & Vibart, Ronaldo & Li, Frank Y., 2016. "Exploring climate change impacts and adaptations of extensive pastoral agriculture systems by combining biophysical simulation and farm system models," Agricultural Systems, Elsevier, vol. 144(C), pages 77-86.
    7. Herben, Tomáš & Wildová, Radka, 2012. "Community-level effects of plant traits in a grassland community examined by multispecies model of clonal plant growth," Ecological Modelling, Elsevier, vol. 234(C), pages 60-69.
    8. Confalonieri, R., 2014. "CoSMo: A simple approach for reproducing plant community dynamics using a single instance of generic crop simulators," Ecological Modelling, Elsevier, vol. 286(C), pages 1-10.
    9. Kipling, Richard P. & Bannink, André & Bellocchi, Gianni & Dalgaard, Tommy & Fox, Naomi J. & Hutchings, Nicholas J. & Kjeldsen, Chris & Lacetera, Nicola & Sinabell, Franz & Topp, Cairistiona F.E. & va, 2016. "Modeling European ruminant production systems: Facing the challenges of climate change," Agricultural Systems, Elsevier, vol. 147(C), pages 24-37.
    10. Hjelkrem, Anne-Grete Roer & Geipel, Jakob & Bakken, Anne Kjersti & Korsaeth, Audun, 2023. "NORNE, a process-based grass growth model accounting for within-field soil variation using remote sensing for in-season corrections," Ecological Modelling, Elsevier, vol. 483(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlpse:v:66:y:2020:i:8:id:82-2020-pse. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.