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首页> 外文期刊>Geoderma: An International Journal of Soil Science >Mid-infrared spectroscopy as an alternative to laboratory extraction for the determination of lime requirement in tillage soils
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Mid-infrared spectroscopy as an alternative to laboratory extraction for the determination of lime requirement in tillage soils

机译：中红外光谱作为实验室提取的替代方法，用于测定耕作土壤的石灰要求

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Lime is a crucial soil conditioner to bring agricultural soils to optimum pH values for nutrient availability. Lime recommendations are typically determined in laboratory extractions, the most common being the "Shoemaker-McLean and Pratt" (SMP) buffer method, that requires carcinogenic reagents soon to be abolished under the EU legislation. As an alternative to wet chemistry, mid-infrared (MIR) spectroscopy has shown to be a cost-and time effective method at predicting soil properties. The capability and feasibility of diffuse reflectance infrared spectroscopy (DRIFTS) to predict lime requirement (LR) in tillage fields is examined. Samples from 41 cereal tillage fields (n = 655) are used to build a calibration for DRIFTS using partial least squares regression (PLSR). The samples were split into calibration set (31 fields, n = 495) and validation set (10 fields, n = 160). After preprocessing with trim, smoothing and standard normal variate, a calibration model using 6 latent variables, provided R-2 of 0.89 and root mean square error of cross-validation (RMSECV) of 1.56 t/ha. Prediction of all fields from the validation set resulted in R-2 of 0.76 and root mean square error of prediction (RMSEP) of 1.68 t/ha. The predictions of the single fields ranged from R-2 values of 0.41 to 0.72, RMSEP of 0.48 to 4.2 t/ha and ratios of performance to inter-quartile distance (RPIQ) of 0.45 to 3.56. It was shown that the signals of soil constituents having an influence on the LR were picked up in the spectra and were identified in the loading weights of the PLSR. While the error is too high to predict the variability of LR within the field, MIR prediction using field averages provided a viable alternative to current laboratory methods for blanket spreading of lime on tillage fields.
机译：石灰是一种关键的土壤调理剂，可以将农业土壤带到最佳pH值的营养可用性。 Lime建议通常在实验室提取中确定，最常见的是“Shoemaker-McLean和Pratt”（SMP）缓冲方法，需要致癌试剂很快被废除在欧盟立法下。作为湿化学的替代方案，中红外线（MIR）光谱表明是在预测土壤性质的成本和时间有效方法。弥漫性反射率红外光谱（漂移）预测耕地场中的石灰要求（LR）的能力和可行性。来自41个谷物耕田（n = 655）的样品用于使用局部最小二乘回归（PLSR）来构建偏移的校准。将样本分成校准集（31字段，n = 495）和验证集（10字段，n = 160）。在预处理装饰，平滑和标准正常变化后，使用6个潜在变量的校准模型，提供了0.89的R-2，交叉验证的均方根误差（RMSECV）为1.56 T / HA。预测来自验证集的所有字段导致0.76的R-2，并均为1.68T / ha的预测（Rmsep）的均方根误差。单个字段的预测范围为0.41至0.72的R-2值，RMSEP为0.48至4.2吨/公顷，并且与四分之一距离（RPIQ）的比率为0.45至3.56。结果表明，在光谱中拾取了对LR影响的土壤成分的信号，并在PLSR的装载重量中鉴定。虽然错误太高而无法预测该领域内的LR的变化，但使用现场平均值的MIR预测提供了一种可行的替代方法，用于耕地上石灰的毯子扩散的现行实验室方法。

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