Calibration and evaluation of the STICS soil-crop model for faba bean to explain variability in yield and N2 fixation

•Grain yield varied between 0.42 and 4.70 t ha−1 and N2 fixed varied between 62 and 172 kg N ha−1.•STICS model reproduced adequately faba bean growth, mineral N uptake, N2 fixation and grain yield.•Water stress was the overriding factor driving yield and N2 fixation variability.•The calibration can...

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Veröffentlicht in:European journal of agronomy 2019-03, Vol.104, p.63-77
Hauptverfasser: Falconnier, Gatien N., Journet, Etienne-Pascal, Bedoussac, Laurent, Vermue, Anthony, Chlébowski, Florent, Beaudoin, Nicolas, Justes, Eric
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Sprache:eng
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Zusammenfassung:•Grain yield varied between 0.42 and 4.70 t ha−1 and N2 fixed varied between 62 and 172 kg N ha−1.•STICS model reproduced adequately faba bean growth, mineral N uptake, N2 fixation and grain yield.•Water stress was the overriding factor driving yield and N2 fixation variability.•The calibration can help quantifying the ecosystem services provided by crop rotations with faba bean. Faba bean (Vicia Faba L.) is the second most widely grown grain legume in Europe after pea (Pisum Sativum L.) and presents several agronomic and environmental advantages when inserted in cropping systems (e.g. decreased dependency on synthetic fertilisers and N provision to the subsequent crop). However, yield variability due to several factors including heat and drought impede wide adoption of faba bean by farmers. Soil-crop models provide quantitative information to evaluate these processes and help to design innovative cropping system including legumes. The STICS model was chosen for its agro-environmental purpose and its genericity allowing crop rotation simulation and robustness for a wide range of pedoclimatic conditions. However, there is so far for STICS no parameterization for faba bean. We calibrated 38 crop related parameters based on literature, direct measurements and sequential estimation using the optimisation tool OptimiSTICS and a dataset of winter faba bean grown in two sites in France with contrasting soil conditions over several growing seasons (2002–2015). Data from 22 experimental plots were used for calibration and the remaining independent 13 plots were used for model evaluation. After calibration, the STICS model reproduced adequately phenology, Leaf Area Index and dynamic growth of above ground biomass, uptake of mineral N, N2 fixation and grain yield, with satisfactory model efficiency (0.56 to 0.81) and low relative bias (−7% to 2%). The model adequately reproduced the large observed variation in faba bean grain yield (0.42–4.70 t ha−1) and total N2 fixed at harvest (62–172 kg N ha−1) in the contrasted years and soil conditions of this study. Simulations indicated that water stress was the overriding factor driving yield and N2 fixation variability. Simulation of temporal crop growth and water stresses during grain onset and grain filling allowed a robust and credible agronomic diagnosis of the causes of this variability for faba bean crops not significantly damaged by pests and diseases. Water supply/demand ratio averaged over a period of six days prec
ISSN:1161-0301
1873-7331
DOI:10.1016/j.eja.2019.01.001