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Soil sampling

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Subdivide the soil across the landscape into classes that are fairly uniform ... A trowel of spade can be used, but this causes a lot of soil disturbance and can ... – PowerPoint PPT presentation

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Title: Soil sampling


1
Soil sampling
  • Bruce Ball
  • Crop and Soil Research

2
Sampling location
  • Subdivide the soil across the landscape into
    classes that are fairly uniform - often single
    field
  • - take guidance from soil maps, changes in
    vegetation and topography
  • Avoid areas near fences, gates, water troughs and
    spillages
  • Sample each uniform area in a W pattern

3
Sampling location
4
Sample number
  • Take 5 - 10 samples from each location and bulk
    by mixing in a bucket and subsample, or bulk and
    use the whole sample
  • If the uniform area is bigger than 1 ha, more
    samples are required.
  • Normally about 1 kg of soil is plenty for routine
    soil analysis
  • Systematic grid sampling is required if you want
    to pick up a suspected concentration gradient

5
Sample depth
  • For fertility assessment, this is the normal
    ploughing or digging depth (0-25 cm) (remove
    surface vegetation before sampling)
  • For soil biological factors, sample near the
    surface
  • Assessment of compaction and water movement may
    require sampling below 25 cm depth

6
Sampling tools
  • A trowel of spade can be used, but this causes a
    lot of soil disturbance and can be difficult to
    get depths correct.
  • Dutch auger - useful for loose, dry and stony
    soils
  • Screw or spiral auger - easy to use, but can lose
    dry soil and be held up by stones
  • C-section auger - good for discriminating depths

7
Auger types - from Eijkelkamp catalogue
8
Other sampling protocols
  • Keep augers clean
  • Collect soils in poly bags
  • Label these before going to the field
  • Routine fertility samples need not be dried or
    kept cool
  • Samples for mineral nitrogen need to be kept cool
    and sent for analysis within 24 h or frozen

9
General point
  • Soils are highly variable - it is better to
    sample a few properties at many locations than
    many properties at few locations.
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