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| Content Provider | Springer Nature Link |
|---|---|
| Author | Cambardella, C. A. Karlen, D. L. |
| Copyright Year | 1999 |
| Abstract | Databases identifying spatial distributions of soil properties are needed to implement site-specific management practices. This study examined spatial patterns for nine soil chemical properties in two adjacent fields, one in a corn (Zea mays L.)-soybean [Glycine max (L.) Merr.] rotation with inorganic fertilizer and the other in a 5-yr corn-soybean-corn-oat (Avena sativa L.)-meadow rotation with organic nutrient sources. We established sampling grids in both fields and collected soil cores to a depth of 30 cm. Soil properties with strong spatial correlations (low nugget variance/total variance ratio) and the maximum distance to which those properties were correlated (range) differed for the two fields. Soil pH, exchangeable Ca, total organic C, and total N were strongly correlated and had range values greater than 182 m in the conventional field. Bray P and exchangeable Mg were strongly correlated with range values of less than 100 m within the other. Low nugget/total variance ratios and small range values for P and Mg suggest patchy distributions, probably from long-term animal manure and municipal sludge application. Since most variance was structural in the organic field, placing sampling points closer together would improve data precision. In contrast, a relatively coarse sampling grid with fewer sampling points spaced further apart appears adequate for the conventional field. To develop accurate sampling strategies for precision agriculture, long-term field management histories should be documented since the practices appear to affect both the properties that are strongly correlated and the range to which the correlation exists. |
| Starting Page | 5 |
| Ending Page | 14 |
| Page Count | 10 |
| File Format | |
| ISSN | 13852256 |
| Journal | Precision Agriculture |
| Volume Number | 1 |
| Issue Number | 1 |
| e-ISSN | 15731618 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 1999-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Meteorology/Climatology Remote Sensing/Photogrammetry Agriculture Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences Soil Science & Conservation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Agricultural and Biological Sciences |
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