Identifying zones

2011
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) James Challis (Precision Agronomics Australia)
Simon Craig (BCG)
Nicole Dimos (SPAA)
Andrew Whitlock (Precision Agriculture)
Year(s) 2011
Contributor Society of Precision Agriculture Australia
Trial location(s) Birchip, VIC
Identifying zones locations
Aims
  • To compare the various tools for determining paddock zones.
  • To determine whether thse zones neededt o be managed differently.
Key messages

This demonstration has shown that there are many tools available to help farmers identify paddock zones. In this case, the farmer was easily able to identify roughly each zone, however from the yield map it is apparent that using the yield maps, to get those zones 100%, slight changes were required. There was little advantage in applying fertiliser in any of the zones, however, emergence issues may have confounded some of these responses. Both P tests (Colwell and DGT) indicated that Zone 2 was responsive to P. There appeared to be a slight increase in yield to P. This was indicated visually during the season, though the difference was thought to be greater and unlikely to be significant. Most importantly, this demonstration has highlighted that you don’t need to invest heavily to practice PA and VR. The farmer identified 80-90% of the variation with the help of other tools. Those tools will prove very important when the zones as less pronounced or in paddocks that have been recently acquired.

Lead research organisation Society of Precision Agriculture Australia
Host research organisation N/A
Trial funding source GRDC SPA000010
Related program N/A
Acknowledgments

This project was funded by the Grains Research and Development Corporation (GRDC)


Other trial partners Cameron Barber (site host)
Download the trial report to view additional trial information

Method

Crop type Wheat
Treatment type(s)
  • No treatment: Precision agriculture
Trial type Precision agriculture
Trial design Not applicable

Birchip 2011

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Treatment 1
Plant available water (mm) Colwell phosphorus (mg/kg)
1 Red clay loam 98 27
2 Red ironstrone 159 19
3 Grey clay loam 117 25

Colwell phosphorus mg/kg


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Plant available water mm


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Birchip, VIC Red sandy clay loam
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Birchip, VIC Vertosol
Soil Moisture Source: BOM/ANU
Average amount of water stored in the soil profile during the year, estimated by the OzWALD model-data fusion system.
Year Birchip VIC
2011 431.2mm
2010 344.5mm
2009 292.7mm
2008 275.5mm
2007 274.8mm
2006 283.6mm
2005 316.0mm
2004 281.0mm
2003 275.8mm
2002 240.1mm
2001 285.1mm
2000 290.6mm
National soil grid Source: CSIRO/TERN
NOTE: National Soil Grid data is aggregated information for background information on the wider area
Actual soil values can vary significantly in a small area and the trial soil tests are the most relevant data where available

Soil properties

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Climate

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Birchip VIC

NOTE: Exact trial site locality unknown - Climate data may not be accurate
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Some data on this site is sourced from the Bureau of Meteorology

SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol 16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.



Trial last modified: 23-09-2019 17:23pm AEST