
Introduction
Recent progress in precision agriculture has seen the development of many new technologies that permit the identification of spatial variability within agricultural fields, thus allowing the implementation of site-specific management strategies. At present the technology to apply variable-rate inputs already exists for growers in the Australian Cotton Industry. However, the development of nutrient management schemes modeling growth response functions with a view to fertiliser recommendations has been limited to a holistic approach, using average soil, plant and climate values to predict the mean crop growth of an entire field, or more commonly, a farm or district. Much of the research to date into determining variable-rate fertiliser has been conducted on grain cropping systems (Kitchen et al., 1995; Vetsch et al., 1995; Mulla and Schepers, 1997) although the same principles will apply for managing cotton. In summary, the three main points that need to be addressed when developing a method for varying fertiliser application within a field are:
There are currently two core research sites where this study is being carried out. Both are irrigated fields of approximately 100 hectares, located in two of Australia's major cottoning growing regions, the Gwydir and Namoi Valleys.
In this project, advances
in mobile electromagnetic (EM) mapping, yield mapping and remote sensing
are being employed to determine potential management zones. The information
gathered from these techniques is being integrated, to generate ‘Equifertiles’,
representing areas that equate in their potential productivity. This allows
directed soil sampling of each equifertile to be carried out to determine
available soil nutrients and soil physical properties impacting on cotton
growth. Fertiliser rates are then being adjusted accordingly for each ‘zone’,
using the recommendations of NutriLOGIC, a decision-support tool released
by the Australian Cotton CRC
as part of cottonLOGIC. The success of this approach will be measured by
remotes sensing with ground truthing throughout the growing season and
yield monitoring at harvest.
Preliminary Results
Progress to date suggests
that the potential for variable-rate fertilisation of cotton fields is
very high. Variation in yield (Map 1) and soil nutrient levels (Table 1)
are occurring at magnitudes and in spatial patterns that indicate that
fertiliser should be applied at varying rates throughout a single field.
Electromagnetic (EM) mapping is being used (map 2) to aid in the identification
of soil physical differences, as EM is a function of texture, soil mineralogy
and soil moisture.
| Plant Nutrient Coefficient of variation (%) | |
| Soil Nitrate | 44.5 |
| Phosphorus (Colwell) | 30.3 |
| Potassium | 22.2 |
| Calcium | 14.8 |
| Magnesium | 10.1 |
| Sodium | 30.3 |
| CEC | 9.5 |
| pH (CaCl2) | 2.4 |
Map 1: Kriged yield data Map 2: Soil EM Survey
Two methods are being tested to determine a suitable
protocol for the application of variable-rate nitrogen fertiliser. Directed
soil sampling of the field based on the yield and EM data has enabled a
nitrogen fertiliser requirement map to be developed based only on the soil
samples and the recommendations of nutriLOGIC (Map 3). An alternative approach
being tested is the use of multivariate clustering of all data layers to
determine homogeneous zones within the field which receive fertiliser based
on yield potential (Map 4).
Map 3: Fertiliser requirement from soil tests Map 4: Management zones based on all data layers
Both methods of variable-rate fertiliser application are being trialled over the 1999/2000 cotton growing season in Australia.
References
Mulla, D.J. and Schepers, J.S. 1997. Key processes and properties for site-specific soil and crop management. In: Pierece, F.J. and Sadler, E.J. editors, The State of Site-Specifc Management for Agriculture, ASA,CSSA and SSSA, Madison WI. pp. 1-18
Vetsch, J.A., Malzer, G.L., Robert, P.C., Huggins,
D.R. 1995. Nitrogen specific management by soil condition: Managing fertilizer
nitrogen in corn. In: Robert, P.C., Rust, R.H. and Larson, W.E. editors,
Site-Specific Management for Agricultural Systems. ASA Misc. Publ., ASA,
CSSA and SSSA, Madison WI. pp. 465-474
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