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首页> 外文期刊>Soil Science Society of America Journal >Site-Specific Soil Fertility Management: A Model for Map Quality
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Site-Specific Soil Fertility Management: A Model for Map Quality

机译：特定地点的土壤肥力管理：地图质量模型

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摘要

The performance of site-specific fertility management (SSFM) systems depends on the quality of soil property maps used to develop variable-rate fertilizer recommendations. Map quality assessment, however, may be too expensive for routine site-specific soil sampling. The objectives of this study were (i) to evaluate the quality of soil property maps created with ordinary kriging for five fields in Kentucky, and (ii) to develop a model describing the relationship between map quality and statistical properties of data. Five fields across Kentucky were sampled on 30.5-m grids and samples were analyzed for pH, buffer pH (bpH), P, K, Ca, and Mg. For each field, four 61.0 and nine 91.5-m data subsets were extracted from the 30.5-m grid. Semivariograms could only be adequately modeled for the 30.5- and 61.0-m grid datasets. Therefore, only these data sets were interpolated with ordinary kriging. Map quality was evaluated with an independent data set. Multiple stepwise regression was used to model map quality using data from several Kentucky fields and from a previously published Michigan study. Prediction efficiency (PE) was a function of the relative structural variability, range of spatial correlation, and grid increment (R2 = 0.82). The range of spatial correlation was the major factor controlling map quality within the range of variation studied. This model may potentially be a useful tool for the development of sampling designs for site-specific management.
机译：特定地点的肥力管理（SSFM） 系统的性能取决于用于 制定可变速率肥料建议的土壤特性图的质量。但是，对于特定于站点的常规 土壤采样，地图质量 评估可能过于昂贵。这项研究的目的是（i）评估在肯塔基州的五个田地上使用普通克里格法（srig> 创建的 土壤特性图的质量，以及（ii）建立描述 地图质量与数据统计属性 之间的关系。在30.5-m 网格上对肯塔基州的五个田地进行了采样，并分析了样品的pH值，缓冲液pH（bpH），P， K，Ca和Mg。对于每个字段，从30.5米的网格中提取了四个61.0和9个91.5米的数据 子集。半变异函数 只能为30.5-m和61.0-m网格 数据集建模。因此，只有这些数据集通过普通克里金插值 。使用独立的 数据集评估了地图质量。使用多个肯塔基州油田的数据以及先前 密歇根州研究的数据，使用多元逐步回归对地图 的质量进行建模。预测效率（PE）是相对结构变异性，空间相关性范围， 和网格增量（R 2 = 0.82）的函数。空间相关性 的范围是控制地图质量在变化范围 范围内的主要因素。该模型可能是用于开发针对特定地点的 管理的采样设计的有用的 工具。

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  • 来源
    《Soil Science Society of America Journal》 |2004年第6期|2031-2041|共11页
  • 作者

    T. G. Mueller; N. B. Pusuluri; K. K. Mathias; P. L. Cornelius; R. I. Barnhisel;

  • 作者单位

    Dep. of Agronomy, N-122 Agronomy Science North, Univ. of Kentucky, Lexington, KY 40502;

    Dep. of Agronomy, N-122 Agronomy Science North, Univ. of Kentucky, Lexington, KY 40502;

    Dep. of Agronomy, N-122 Agronomy Science North, Univ. of Kentucky, Lexington, KY 40502;

    Dep. of Agronomy, N-122 Agronomy Science North, Univ. of Kentucky, Lexington, KY 40502;

    Dep. of Agronomy, N-122 Agronomy Science North, Univ. of Kentucky, Lexington, KY 40502;

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