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A high soil potential net nitrification was observed at 4 m depth: What are the driving factors?
Kasaina Sitraka Andrianarisoa, Lydie Dufour, Séverine Bienaimé, Bernhard Zeller, Caroline Choma and Christian Dupraz European Journal of Soil Science 74(4) (2023) https://doi.org/10.1111/ejss.13390
Uncertainties in simulating N uptake, net N mineralization, soil mineral N and N leaching in European crop rotations using process-based models
Xiaogang Yin, Kurt-Christian Kersebaum, Nicolas Beaudoin, Julie Constantin, Fu Chen, Gaëtan Louarn, Kiril Manevski, Munir Hoffmann, Chris Kollas, Cecilia M. Armas-Herrera, Sanmohan Baby, Marco Bindi, Camilla Dibari, Fabien Ferchaud, Roberto Ferrise, Inaki Garcia de Cortazar-Atauri, Marie Launay, Bruno Mary, Marco Moriondo, Isik Öztürk, Françoise Ruget, Behzad Sharif, Dominique Wachter-Ripoche and Jørgen E. Olesen Field Crops Research 255 107863 (2020) https://doi.org/10.1016/j.fcr.2020.107863
Effect of nitrogen source, placement and timing on the environmental performance of economically optimum nitrogen rates in maize
Joshua Nasielski, Brian Grant, Ward Smith, Caleb Niemeyer, Ken Janovicek and Bill Deen Field Crops Research 246 107686 (2020) https://doi.org/10.1016/j.fcr.2019.107686
Growing season nitrate leaching as affected by nitrogen management in irrigated potato production
Chedzer‐Clarc Clément, Athyna N. Cambouris, Noura Ziadi, Bernie J. Zebarth and Antoine Karam Agronomy Journal 112(5) 3773 (2020) https://doi.org/10.1002/agj2.20387
Long-term modelling of crop yield, nitrogen losses and GHG balance in organic cropping systems
Jyoti Sihag and Divya Prakash Advances in Intelligent Systems and Computing, Soft Computing: Theories and Applications 742 699 (2019) https://doi.org/10.1007/978-981-13-0589-4_66
Delayed and reduced nitrogen fertilization strategies decrease nitrogen losses while still achieving high yields and high grain quality in malting barley
Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France
Agronomic model uses to predict cultivar performance in various environments and cropping systems. A review
Marie-Hélène Jeuffroy, Pierre Casadebaig, Philippe Debaeke, Chantal Loyce and Jean-Marc Meynard Agronomy for Sustainable Development 34(1) 121 (2014) https://doi.org/10.1007/s13593-013-0170-9
Data assimilation to reduce uncertainty of crop model prediction with Convolution Particle Filtering
Forcing a wheat crop model with LAI data to access agronomic variables: Evaluation of the impact of model and LAI uncertainties and comparison with an empirical approach
Adaptation of the STICS intercrop model to simulate crop growth and N accumulation in pea–barley intercrops
Guénaëlle Corre-Hellou, Marieline Faure, Marie Launay, Nadine Brisson and Yves Crozat Field Crops Research 113(1) 72 (2009) https://doi.org/10.1016/j.fcr.2009.04.007
A sequential approach for improving AZODYN crop model under conventional and low-input conditions