Precision Agriculture

, Volume 5, Issue 6, pp 625–645

Field-Scale Experiments for Site-Specific Crop Management. Part II: A Geostatistical Analysis

Authors

    • Australian Centre for Precision AgricultureUniversity of Sydney
  • A. B. McBratney
    • Australian Centre for Precision AgricultureUniversity of Sydney
  • S. E. Cook
    • CIAT
Article

DOI: 10.1007/s11119-004-6347-0

Cite this article as:
Pringle, M.J., McBratney, A.B. & Cook, S.E. Precision Agric (2004) 5: 625. doi:10.1007/s11119-004-6347-0

Abstract

Part II analyses approach C experiments. Field-scale experiments were applied to four wheat fields in the Western Australian wheat belt. Different experimental designs were used two two-dimensional sine-waves, a chequerboard, and a two-factor strip arrangement. In each experiment, the yield associated with a particular treatment was predicted by kriging to where the other treatments were located. Different forms of kriging were investigated. Co-located cokriging, using the previous-season yield map as a covariate, was the most promising. The kriged data were then modelled with polynomial yield response functions. The outcome was a map for each field that described the optimum application of experimental input. The requirements varied continuously across the field, and could justify future site-specific crop management. The two-factor strip experiment was the most successful of those presented; the field on which it was used showed relatively strong responses to the applied inputs. The other sites were affected by lack of rain and/or design flaws. The underlying philosophy is sound, but the method proposed is time-consuming and inefficient. We hope that this paper can stimulate further research on the subject.

Keywords

site-specific crop managementfield-scale experimentskrigingpolynomial response functions
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© Kluwer Academic Publishers 2004