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Measuring Soil Variability

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Typically these two factors limit the genetic yield potential ... Boron, Copper, Iron, Manganese, Zinc, Molybdenum. Soil Variability (cont.) Soil Chemistry ... – PowerPoint PPT presentation

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Title: Measuring Soil Variability


1
Measuring Soil Variability
2
How does soil variability effect yield?
  • Primary effects
  • Fertility
  • Water
  • Typically these two factors limit the genetic
    yield potential
  • Many SS practices have concentrated on fertility
    management

3
Soil Variability
  • Fertility
  • NPK
  • Secondary Nutrients
  • Calcium
  • Magnesium
  • Sulfur
  • Micronutrients
  • Boron, Copper, Iron, Manganese, Zinc, Molybdenum

4
Soil Variability (cont.)
  • Soil Chemistry
  • Salinity
  • Infiltration rates
  • Cation Exchange Capacity (CEC)
  • Water Holding Capacity http//www.bsyse.wsu.edu/sa
    xton/soilwater/soilwater.htm
  • Organic Matter
  • Slope and Topography

5
Soil Properties
  • Physical Properties
  • Compaction
  • Texture (sand and clay content)
  • Anchorage

6
Sampling Methods
  • Grid sampling
  • Selected or Directed
  • Continuous Sensing

7
Grid Sampling
  • Field is divided in to a uniform grids
  • Grid shapes may vary Ex Square, Offset square,
    etc.
  • Grids 2-4 acres
  • Strengths
  • Weakness

8
Selected or Directed
  • Sample location based on other data
  • Yield
  • Remote Sensing (imagery)
  • Direct Sensing
  • Strengths
  • Weakness

9
Continuous Sampling
  • Soil variability is measured using a sensor.
  • Ex. Veris, EM, OM, etc.
  • Commonly used in combination with directed
    sampling
  • Strengths
  • Weakness

10
Soil Sampling Frequency
  • Consider
  • Cost
  • Monitoring of remediation programs
  • Higher frequency in problem areas.
  • 2-4 year cycle for fertility

11
When to Sample
  • For fertility
  • Samples taken at the same time of the year will
    allow better comparison between years
  • Annual vs. Perennial crops
  • For physical properties
  • After leveling
  • ??????

12
Using Soil Sample Data
  • Convert from points to grids
  • Interpolate points
  • Each variable creates a layer (N,P,K, texture,
    etc.)
  • Analysis using multiple regression techniques to
    determine which factors are important.

13
Data Collection -gt Action
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