An ideal and efficient nitrogen (N) recommendation for precision fertilization (PF) should account for potential soil mineralizable N. This study aimed at estimating management zone (MZ) specific soil N mineralization rate (SNMR) of unamended soils. A total of 76 soil samples were collected from 21 MZs across 5 fields. An aerobic laboratory incubation was conducted under controlled conditions for two months with seven sub-sampling events. N mineralization was assessed as net increase in soil mineral N over time. Results indicated a considerable variation in mineralized soil N (9.12–41.93 mg kg⁻¹ soil) across fields. Highest and lowest net SNMRs were 0.50 and 0.0004 mg kg⁻¹ soil day⁻¹, respectively. SNMRs significantly differed across MZs in three fields, while in the other two fields no significant differences were observed. In turn, 3 of 34 MZ-pairs differed (marginally) significantly (p_adj = 0.02–0.09) from one another, namely in MZ pairs with high variation in soil particle sizes. MZ-specific SNMRs were mostly positively correlated to pH (0.20–1.00), total N (0.12–0.99), soil mineral N (0.11–1.00) and sand (0.34–0.99), negatively correlated with clay (− 1.00 to − 0.11) and correlations with SOC were mixed (0.41 to − 0.62). This along with the support from regression analysis corroborated the existing knowledge that TN is a better predictor of mineralization than SOC. While there were only few statistically significant differences in SNMR amongst MZ per field despite mathematical differences, still incorporating MZ-specific SNMR in management decisions will be crucial in optimizing the N use efficiency in precision farming, and along with other management actions, lead to more environmentally friendly PF schemes.

用于精准施肥 (PF) 的理想且有效的氮 (N) 建议应考虑到潜在的土壤可矿化 N。本研究旨在估算管理区 (MZ) 未改良土壤的特定土壤 N 矿化率 (SNMR)。从 5 个田地的 21 个 MZ 中收集了总共 76 个土壤样本。有氧实验室孵化在受控条件下进行了两个月，并进行了七个子采样事件。N矿化被评估为土壤矿物质N随时间的净增加。结果表明，不同田间的矿化土壤 N（9.12–41.93 mg kg ⁻¹土壤）存在相当大的差异。最高和最低净 SNMR 分别为 0.50 和 0.0004 mg kg ^-1土壤日^-1， 分别。SNMR 在三个领域中跨 MZ 存在显着差异，而在其他两个领域中未观察到显着差异。反过来，34 个 MZ 对中的 3 个（略微）显着不同（p _adj = 0.02–0.09）彼此之间，即在 MZ 对中，土壤粒径变化很大。MZ 特异性 SNMR 主要与 pH (0.20–1.00)、总 N (0.12–0.99)、土壤矿物 N (0.11–1.00) 和沙子 (0.34–0.99) 呈正相关，与粘土 (− 1.00 至 − 0.11) 呈负相关) 和与 SOC 的相关性是混合的 (0.41 至 - 0.62)。这连同回归分析的支持证实了现有知识，即 TN 比 SOC 更能预测矿化。虽然尽管存在数学差异，但每个田地的 MZ 之间的 SNMR 在统计上几乎没有显着差异，但在管理决策中仍然纳入 MZ 特定的 SNMR 对于优化精准农业中的 N 使用效率至关重要，并与其他管理措施一起，导致更多环境友好型 PF 计划。