Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis
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 associat...
| Autores principales: | , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2004
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/43460 |
| _version_ | 1855527622069452800 |
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| author | Pringle, MJ McBratney, AB |
| author_browse | McBratney, AB Pringle, MJ |
| author_facet | Pringle, MJ McBratney, AB |
| author_sort | Pringle, MJ |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace43460 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2004 |
| publishDateRange | 2004 |
| publishDateSort | 2004 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace434602024-08-27T10:36:10Z Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis Pringle, MJ McBratney, AB precision agriculture geographical information systems field experimentation statistical analysis agricultura de precisión sistemas de información geográfica experimentación en campo análisis estadístico 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. 2004-12 2014-09-24T08:42:10Z 2014-09-24T08:42:10Z Journal Article https://hdl.handle.net/10568/43460 en Limited Access Springer |
| spellingShingle | precision agriculture geographical information systems field experimentation statistical analysis agricultura de precisión sistemas de información geográfica experimentación en campo análisis estadístico Pringle, MJ McBratney, AB Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis |
| title | Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis |
| title_full | Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis |
| title_fullStr | Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis |
| title_full_unstemmed | Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis |
| title_short | Field-scale experiments for site-specific crop Management. Part II: A Geostatistical analysis |
| title_sort | field scale experiments for site specific crop management part ii a geostatistical analysis |
| topic | precision agriculture geographical information systems field experimentation statistical analysis agricultura de precisión sistemas de información geográfica experimentación en campo análisis estadístico |
| url | https://hdl.handle.net/10568/43460 |
| work_keys_str_mv | AT pringlemj fieldscaleexperimentsforsitespecificcropmanagementpartiiageostatisticalanalysis AT mcbratneyab fieldscaleexperimentsforsitespecificcropmanagementpartiiageostatisticalanalysis |