Classical statistical and geostatistical analysis of soil nitrate-n spatial variability

G. W. Hergert, R. B. Ferguson, C. A. Shapiro, E. J. Penas, F. B. Anderson

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

In Nebraska there is a great concern about the influence of nitrogen (N) on groundwater quality. Spatial and temporal variability of nitrate-N in farmer fields needs to be quantified to develop optimum sampling plans for both uniform and variable rate N fertilization. This chapter determines the variability of nitrate and nitrate distributions within farmer’s corn fields on selected benchmark soils across the state, and determines seasonal variation in soil nitrate-N levels between fall and spring. It also determines the most appropriate number of samples required to estimate the mean nitrate-N value within prescribed confidence limits, and utilizes geostatistical analysis to determine optimum grid sample spacing for developing variable N fertilizer rates based on residual nitrate-N. The geostatistical analysis coupled with the classical statistical analysis showed no significant differences in similar parameters for the 60 or 90 m lag spacing versus the 30 m lag spacing.

Original languageEnglish (US)
Title of host publicationSite-Specific Management for Agricultural Systems
Publisherwiley
Pages175-186
Number of pages12
ISBN (Electronic)9780891182603
ISBN (Print)9780891181279
DOIs
StatePublished - Sep 1 1995

Keywords

  • Classical statistical analysis
  • Geostatistical analysis
  • Grid sample spacing
  • Groundwater quality
  • Nebraska
  • Seasonal variation
  • Soil nitrate-nitrogen spatial variability

ASJC Scopus subject areas

  • Engineering(all)
  • Agricultural and Biological Sciences(all)

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