Calibrating and testing APSIM for wheat-faba bean pure cultures and intercrops across Europe

Herman N.C. Berghuijs*, Martin Weih, Wopke van der Werf, Alison J. Karley, Eveline Adam, Ángel M. Villegas-Fernández, Lars P. Kiær, Adrian C. Newton, Christoph Scherber, Stefano Tavoletti, Giulia Vico

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)


Cereal-legume intercropping can increase yields, reduce fertilizer input and improve soil quality compared with pure culture. Designing intercropping systems requires the integration of plant species trait selection with choice of crop configuration and management. Crop growth models can facilitate the understanding and prediction of the interactions between plant traits, crop configuration and management. However, currently no existing crop growth model has been calibrated and tested for cereal-legume intercrops throughout Europea. We calibrated the Agricultural Production Systems sIMulator (APSIM) for pure cultures of wheat and faba bean using data from Dutch field trials, and determined the phenological parameters to simulate pure cultures and intercrops from seven field experiments across Europe. APSIM successfully reproduced aboveground dry matters and, for wheat only, grain yields in pure cultures. In intercrops, APSIM systematically overestimated the aboveground dry matter and grain yield of faba bean and underestimated those of wheat. APSIM was reasonably capable of simulating plant heights in pure cultures, but respectively overestimated and underestimated the height of faba bean and wheat in intercrops. In order to simulate wheat-faba bean intercrops better, APSIM should be improved regarding the calculation of biomass partitioning to grains in faba bean and of height growth in both species.

Original languageEnglish
Article number108088
Pages (from-to)1-14
Number of pages14
JournalField Crops Research
Publication statusE-pub ahead of print - 22 Feb 2021


  • Europe
  • Faba bean
  • Intercrop
  • Mixtures
  • Modeling
  • Triticum aestivum
  • Vicia faba
  • Wheat

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