Modelling the Interactions of Soils, Climate, and Management for Grass Production in England and Wales

Michail L. Giannitsopoulos, Paul J. Burgess, Goetz M. Richter, Matt J. Bell, Cairistiona F. E. Topp, Julie Ingram, Taro Takahashi

Research output: Contribution to journalJournal Articlepeer-review

5 Citations (Scopus)
57 Downloads (Pure)


This study examines the effectiveness of a model called LINGRA-N-Plus to simulate the interaction of climate, soil and management on the green leaf and total dry matter yields of ryegrass in England and Wales. The LINGRA-N-Plus model includes modifications of the LINGRA-N model such as temperature- and moisture-dependent soil nitrogen mineralization and differential partitioning to leaves and stems with thermal time from the last harvest. The resulting model was calibrated against the green leaf and total grass yields from a harvest interval x nitrogen application experiment described by Wilman et al. (1976). When the LINGRA-N-Plus model was validated against total grass yields from nitrogen experiments at ten sites described by Morrison et al. (1980), its modelling efficiency improved greatly compared to the original LINGRA-N. High predicted yields, at zero nitrogen application, were related to soils with a high initial nitrogen content. The lowest predicted yields occurred at sites with low rainfall and shallow rooting depth; mitigating the effect of drought at such sites increased yields by up to 4 t ha−1. The results highlight the usefulness of grass models, such as LINGRA-N-Plus, to explore the combined effects of climate, soil, and management, like nitrogen application, and harvest intervals on grass productivity.
Original languageEnglish
Pages (from-to)e677
Issue number4
Publication statusPublished - 2 Apr 2021


  • nitrogen
  • soil moisture deficit
  • soil organic matter
  • water stress


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