Spatial Variability Analysis of Wheat Nitrogen Yield Response: A Case Study of Henan Province, China

The overapplication of nitrogen to wheat reduces profits and has adverse environmental consequences. Machine learning techniques are employed identify the factors that hold most potential in improving recommendations. database used our analysis consisted a formula fertilization project, second soil census China, cultivated land fertility evaluation. results showed yield response was mainly concentrated around 1300–2400 kg/ha Henan Province, with highest values observed southern eastern regions lowest northern region. content, fertilizer, wet deposition, dry supply capacity were 0.65–1.30 g/kg, 173–203 kg N/ha, 15–39 N/(ha yr), 7–49 105–150 respectively. When comparing spatial distribution we found emerged as predominant factor controlling grain production. Soil types, precipitation, temperature demonstrated notable positive correlation capacity. Given this background, it would be unreasonable rely solely on content standard for fertilizer management. Particularly high-yield fields, focus should preserving optimal by placing greater emphasis rather than simply reducing application during growth.