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| Symulacja wzrostu roślin× | Efektywność wykorzystania azotu× | |
|---|---|---|
| Dziedzina | Agronomia | Agronomia |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2003 | 2005 |
| Twórca≠ | John W. Jones, Gerrit Hoogenboom et al. | Adrian Dobermann, Kenneth G. Cassman |
| Typ≠ | Computational pipeline | Analytical pipeline |
| Źródło pierwotne≠ | Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Basso, B., Hunt, L. A., ... & Winter, S. R. (2003). The DSSAT cropping system model. European journal of agronomy, 18(3-4), 235-265. DOI ↗ | Dobermann, A., & Cassman, K. G. (2005). Nitrogen use efficiency in cereals: mechanisms and genetic improvements. In Managing soil quality and crop productivity in intensive agriculture (pp. 15-40). CRC Press. link ↗ |
| Inne nazwy≠ | Crop phenological model, Growth stage simulation | NUE analysis, Nitrogen recovery efficiency, N balance assessment |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | Crop Growth Simulation is a computational pipeline for predicting daily or seasonal crop development, biomass accumulation, and yield under varying environmental conditions. Developed by Jones and colleagues in the DSSAT framework, this method integrates agronomic knowledge with process-based modeling to enable decision support in field management. | Nitrogen Use Efficiency (NUE) assessment and optimization is an analytical pipeline for evaluating how effectively crops convert applied nitrogen fertilizer into grain, biomass, or economic output. Developed by agronomic researchers (Dobermann, Raun) in the 2000s, this method quantifies nitrogen losses and identifies management practices to improve both crop productivity and environmental sustainability. |
| ScholarGateZbiór danych ↗ |
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