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Predicting soil organic matter nitrogen mineralization
Soil Science Society of America Journal ( IF 2.9 ) Pub Date : 2020-11-25 , DOI: 10.1002/saj2.20203
John T. Gilmour 1
Affiliation  

The objectives of this study were to develop a model for soil organic matter (SOM) N mineralization that required minimal inputs, to test the model using independent datasets, and to determine if the results could be used in adjusting commercial N fertilizer recommendations. A first‐order model was adjusted monthly for differences in soil temperature and moisture. A daily time step was used to allow N mineralization estimates from one date to another. Simulations began in the month where temperature exceeded 10 °C. Model predictions were compared with those in published studies in northern California and Illinois. In the first California study, model predictions were near observed values in four of five locations. In the second California study, model predictions were within the 95% confidence interval of those based on laboratory incubation corrected for field temperature and moisture regimes. In a third study, unfertilized corn (Zea mays L.) yields were compared with seasonal N mineralization predictions plus N from the prior crop for 15 Illinois soils. The result was 32.0 kg corn kg−1 seasonal available N as compared with the typical value of 67.5 kg corn kg−1 commercial N fertilizer. Nitrogen mineralization predictions for Illinois soils were related to total N, suggesting that an equation could replace simulation modeling for a given soil–location combination. It is proposed that the N mineralization model, which has readily obtainable inputs (total N, bulk density, monthly weather), could be used in conjunction with field studies to refine commercial N fertilizer recommendations.

中文翻译:

预测土壤有机质氮矿化

这项研究的目的是开发一个需要最少投入的土壤有机质(SOM)氮矿化模型,使用独立的数据集测试该模型,并确定结果是否可用于调整商业氮肥推荐。每月针对土壤温度和湿度的差异调整一阶模型。每天的时间步长用于允许从一个日期到另一个日期进行N个矿化估计。模拟始于温度超过10°C的月份。将模型预测与北加利福尼亚和伊利诺伊州已发表的研究中的预测进行了比较。在加利福尼亚的第一项研究中,模型预测接近五个位置中四个位置的观测值。在加利福尼亚的第二项研究中,根据针对田间温度和湿度条件校正的实验室温育,模型的预测在95%的置信区间内。在第三项研究中,未受精的玉米(将玉米产量与季节性N矿化预测值以及15种伊利诺伊州土壤中先前作物的N值进行比较。结果是32.0千克玉米kg -1季节性可用氮,而典型值为67.5千克玉米kg -1商用氮肥。伊利诺伊州土壤的氮矿化预测与总氮有关,表明对于给定的土壤-位置组合,方程可以代替模拟模型。建议将具有易于获得的输入量(总氮,堆密度,每月天气)的氮矿化模型与野外研究结合使用,以完善商业化氮肥推荐。
更新日期:2020-11-25
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