Calibrating and testing APSIM for wheat-faba bean pure cultures and intercrops across Europe
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Calibrating and testing APSIM for wheat-faba bean pure cultures and intercrops across Europe. / Berghuijs, Herman N.C.; Weih, Martin; van der Werf, Wopke; Karley, Alison J.; Adam, Eveline; Villegas-Fernández, Ángel M.; Kiær, Lars P.; Newton, Adrian C.; Scherber, Christoph; Tavoletti, Stefano; Vico, Giulia.
In: Field Crops Research, Vol. 264, 108088, 2021.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Calibrating and testing APSIM for wheat-faba bean pure cultures and intercrops across Europe
AU - Berghuijs, Herman N.C.
AU - Weih, Martin
AU - van der Werf, Wopke
AU - Karley, Alison J.
AU - Adam, Eveline
AU - Villegas-Fernández, Ángel M.
AU - Kiær, Lars P.
AU - Newton, Adrian C.
AU - Scherber, Christoph
AU - Tavoletti, Stefano
AU - Vico, Giulia
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - APSIM
KW - Europe
KW - Faba bean
KW - Intercrop
KW - Mixtures
KW - Modeling
KW - Triticum aestivum
KW - Vicia faba
KW - Wheat
U2 - 10.1016/j.fcr.2021.108088
DO - 10.1016/j.fcr.2021.108088
M3 - Journal article
AN - SCOPUS:85101109569
VL - 264
JO - Field Crops Research
JF - Field Crops Research
SN - 0378-4290
M1 - 108088
ER -
ID: 258090879