Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uamuzi wa Tarehe ya Kupanda× | Ufanisi wa Matumizi ya Nitrojeni× | |
|---|---|---|
| Nyanja | Agronomia | Agronomia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2006 | 2005 |
| Mwanzilishi≠ | P. K. Aggarwal, N. Kalra, IARI India | Adrian Dobermann, Kenneth G. Cassman |
| Aina≠ | Decision support pipeline | Analytical pipeline |
| Chanzo asilia≠ | Aggarwal, P. K., Kalra, N., Chander, S., & Pathak, H. (2006). InfoCrop: A decision support system for crop planning and resource management at farm level. Agricultural Systems, 88(1), 56-77. link ↗ | 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 ↗ |
| Majina mbadala | Planting date optimization, Sowing time selection, Phenological timing | NUE analysis, Nitrogen recovery efficiency, N balance assessment |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | Sowing Date Optimization is a decision support pipeline for determining optimal crop planting dates that align phenological development with favorable environmental windows, maximizing yield and reducing climate risk. Developed by crop modelers (Aggarwal, Semenov) in the 2000s, this method combines crop simulation, climate data, and risk analysis to identify safe, profitable sowing windows. | 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. |
| ScholarGateSeti ya data ↗ |
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