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	Nitrogen Use Efficiency Analysis	Agroecosystem Analysis
Ämnesområde	Food Agriculture Studies	Food Agriculture Studies
Familj	Process / pipeline	Process / pipeline
Ursprungsår	2005	1987
Upphovsperson	Jagdish K. Ladha and colleagues (synthesis of agronomic NUE indicators)	Gordon R. Conway
Typ	Descriptive indicator pipeline for nitrogen-use efficiency	Systems-diagnosis pipeline for agroecosystem performance
Ursprungskälla	Ladha, J. K., Pathak, H., Krupnik, T. J., Six, J., & van Kessel, C. (2005). Efficiency of Fertilizer Nitrogen in Cereal Production: Retrospects and Prospects. Advances in Agronomy, 87, 85-156.	Conway, G. R. (1987). The properties of agroecosystems. Agricultural Systems, 24(2), 95-117.
Alias	NUE Analysis, Nitrogen Use Efficiency, Fertilizer Nitrogen Efficiency Analysis, Nitrogen Recovery Efficiency Analysis	AEA, Agroecosystem Properties Analysis, Conway Agroecosystem Analysis, Agroecosystem Diagnosis
Närliggande	4	4
Sammanfattning	Nitrogen use efficiency (NUE) analysis is the set of agronomic indicators used to quantify how effectively applied nitrogen is converted into harvested yield and nutrient uptake, and how much escapes to the environment. Synthesized authoritatively by Jagdish Ladha and colleagues in 2005, the family includes agronomic efficiency (extra yield per unit of nitrogen applied), recovery efficiency (the fraction of applied nitrogen the crop takes up), physiological efficiency (yield produced per unit of nitrogen taken up), partial factor productivity (total yield per unit of nitrogen applied), and the partial nutrient balance of nitrogen out in harvest versus nitrogen in from inputs. Because nitrogen is the most yield-limiting and environmentally costly nutrient in cereal systems, these indicators are central to diagnosing fertilizer performance, guiding the right rate, source, timing, and placement, and benchmarking the sustainability of cropping systems.	Agroecosystem analysis (AEA) is a systems-diagnosis framework, formalized by Gordon Conway in 1987, that characterizes any agricultural system through four properties: productivity, stability, sustainability, and equitability. Rather than judging a farming system by yield alone, AEA treats the agroecosystem as an ecological system shaped by human management and asks how much it produces, how reliably it produces it across seasons and shocks, whether it can maintain output over the long run, and how its benefits are distributed among the people who depend on it. The analyst bounds a system at an appropriate hierarchical level — plot, field, farm, watershed, or region — and uses interdisciplinary teams, ranked questions, and simple structured diagrams to surface the key relationships and the trade-offs among the four properties that drive design and policy choices.