Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Efektywność wykorzystania azotu× | Symulacja wzrostu roślin× | |
|---|---|---|
| Dziedzina | Agronomia | Agronomia |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2005 | 2003 |
| Twórca≠ | Adrian Dobermann, Kenneth G. Cassman | John W. Jones, Gerrit Hoogenboom et al. |
| Typ≠ | Analytical pipeline | Computational pipeline |
| Źródło pierwotne≠ | 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 ↗ | 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 ↗ |
| Inne nazwy≠ | NUE analysis, Nitrogen recovery efficiency, N balance assessment | Crop phenological model, Growth stage simulation |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | 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. | 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. |
| ScholarGateZbiór danych ↗ |
|
|