Performance of process-based models for simulation of grain N in crop rotations across Europe

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Xiaogang Yin
  • Kurt Christian Kersebaum
  • Chris Kollas
  • Kiril Manevski
  • Sanmohan Baby
  • Nicolas Beaudoin
  • Isik Öztürk
  • Thomas Gaiser
  • Lianhai Wu
  • Munir Hoffmann
  • Monia Charfeddine
  • Tobias Conradt
  • Julie Constantin
  • Frank Ewert
  • Iñaki Garcia de Cortazar-Atauri
  • Luisa Giglio
  • Petr Hlavinka
  • Holger Hoffmann
  • Marie Launay
  • Gaëtan Louarn
  • Remy Manderscheid
  • Bruno Mary
  • Wilfried Mirschel
  • Claas Nendel
  • Taru Palosuo
  • Dominique Ripoche-Wachter
  • Reimund P. Rötter
  • Françoise Ruget
  • Behzad Sharif
  • Mirek Trnka
  • Domenico Ventrella
  • Hans Joachim Weigel
  • Jørgen E. Olesen

The accurate estimation of crop grain nitrogen (N; N in grain yield) is crucial for optimizing agricultural N management, especially in crop rotations. In the present study, 12 process-based models were applied to simulate the grain N of i) seven crops in rotations, ii) across various pedo-climatic and agro-management conditions in Europe, iii) under both continuous simulation and single year simulation, and for iv) two calibration levels, namely minimal and detailed calibration. Generally, the results showed that the accuracy of the simulations in predicting grain N increased under detailed calibration. The models performed better in predicting the grain N of winter wheat (Triticum aestivum L.), winter barley (Hordeum vulgare L.) and spring barley (Hordeum vulgare L.) compared to spring oat (Avena sativa L.), winter rye (Secale cereale L.), pea (Pisum sativum L.) and winter oilseed rape (Brassica napus L.). These differences are linked to the intensity of parameterization with better parameterized crops showing lower prediction errors. The model performance was influenced by N fertilization and irrigation treatments, and a majority of the predictions were more accurate under low N and rainfed treatments. Moreover, the multi-model mean provided better predictions of grain N compared to any individual model. In regard to the Individual models, DAISY, FASSET, HERMES, MONICA and STICS are suitable for predicting grain N of the main crops in typical European crop rotations, which all performed well in both continuous simulation and single year simulation. Our results show that both the model initialization and the cover crop effects in crop rotations should be considered in order to achieve good performance of continuous simulation. Furthermore, the choice of either continuous simulation or single year simulation should be guided by the simulation objectives (e.g. grain yield, grain N content or N dynamics), the crop sequence (inclusion of legumes) and treatments (rate and type of N fertilizer) included in crop rotations and the model formalism.

OriginalspracheEnglisch
ZeitschriftAgricultural Systems
Jahrgang154
Seiten (von - bis)63-77
Anzahl der Seiten15
ISSN0308-521X
DOIs
PublikationsstatusErschienen - 01.06.2017

DOI

Zuletzt angesehen

Publikationen

  1. Grazing effects on intraspecific trait variability vary with changing precipitation patterns in Mongolian rangelands
  2. A piezo servo hydraulic actuator for use in camless combustion engines and its control with MPC
  3. Baseflow recession and recharge as nonlinear storage processes
  4. Control of a two-thermoelectric-cooler system for ice-clamping application using Lyapunov based approach
  5. Second-order SMC with disturbance compensation for robust tracking control in PMSM applications
  6. Late developers and the inequity of "equitable utilization" and the harm of "do no harm"
  7. Influence of data clouds fusion from 3D real-time vision system on robotic group dead reckoning in unknown terrain
  8. Machine Learning and Data Mining for Sports Analytics
  9. Neural correlates of own name and own face processing in neurotypical adults scoring low versus high on symptomatology of autism spectrum disorder
  10. Planar Multipole Resonance Probe: A kinetic model based on a functional analytic description
  11. Accuracy and bias of methods used for root length measurements in functional root research
  12. Timing matters: Distinct effects of nitrogen and phosphorus fertilizer application timing on root system architecture responses
  13. Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM
  14. Design of Reliable Remobilisation Finger Implants with Geometry Elements of a Triple Periodic Minimal Surface Structure via Additive Manufacturing of Silicon Nitride
  15. Enhanced Calculation Procedures for Material and Energy Flow Oriented EMIS
  16. Gamen
  17. The Application of Extended Producer Responsibility in Germany
  18. A Graphic Language for Business Application Systems to Improve Communication Concerning Requirements Specification with the User
  19. "Learning by doing"
  20. Pathways of Data-driven Business Model Design and Realization
  21. Simulation of SARS-CoV-2 pandemic in Germany with ordinary differential equations in MATLAB
  22. Local responses to global technological change.
  23. Finding the Best Match — a Case Study on the (Text‑) Feature and Model Choice in Digital Mental Health Interventions
  24. The role of supervisor support for dealing with customer verbal aggression. Differences between ethnic minority and ethnic majority workers
  25. Sustainable Wireless Sensor Networks for Railway Systems Powered by Energy Harvesting from Vibration
  26. Portuguese part-of-speech tagging with large margin structure learning
  27. As cast microstructures on the mechanical and corrosion behaviour of ZK40 modified with Gd and Nd additions
  28. Corrigendum to ‘Likelihood‐based cointegration tests in heterogeneous panels’
(Larsson R., J. Lyhagen and M. Löthgren, Econometrics Journal, 4, 2001, 109–142)
  29. Mining for critical stock price movements using temporal power laws and integrated autoregressive models
  30. Challenging the status quo of accelerator research: Concluding remarks
  31. A microsystem for growth inhibition test of Enterococcus faecalis based on impedance measurement
  32. CSR
  33. Digital language teaching after COVID-19: what can we learn from the crisis?

Presse / Medien

  1. Rio+20