Better defining yield potential for the Upper Eyre Peninsula

2010

Research organisaton
Funding source

Trial details

Researcher(s) Linden Masters (CSIRO)
Cathy Paterson (SARDI)
Anthony Whitbread (CSIRO)
Year(s) 2010
Contributor SARDI Minnipa Agricultural Centre
Trial location(s) Minnipa, SA
Mudamuckla, SA
Wharminda, SA
Better defining yield potential for the Upper Eyre Peninsula locations
Aims

To build resilience into EP farms by understanding the interactions between soil potential, climate and management.

Key messages
  • On zones where wheat growth is not constrained the French and Schultz method gives a realistic potential yield estimate based on growing season rainfall (GSR) and a soil water evaporation term of 110 mm.
  • Where soil water evaporation is higher because of sub-soil constraints and other factors that affect the growth of wheat, the soil water evaporation term must be adjusted.
  • Zoning your paddocks into areas of performance and soil testing these areas separately for soil nutrients can improve decisions on where to apply nutrients for the best return.
  • Fertiliser application rates at sowing should be strategic, i.e. based on the yield potential of the zone and soil test results (e.g. a sowing application of DAP or MAP on a soil with high yield potential should be supplemented with topdressing applications of N if seasonal conditions are good).
Lead research organisation SARDI Minnipa Agricultural Centre
Host research organisation N/A
Trial funding source GRDC UA00107
Related program Eyre Peninsula Farming Systems
Acknowledgments

The MAC crew are thanked for their expert technical support. The support of the participating farmers at the focus sites, Marko Klante, Peter Kuhlmann and Ed Hunt is gratefully acknowledged.


Other trial partners CSIRO
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Management systems: Precision Agriculture
Trial type
Trial design

Minnipa 2010

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Mudamuckla 2010

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Wharminda 2010

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
Trial source data and summary not available
Check the trial report PDF for trial results.
Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Minnipa, SA Not specified
Mudamuckla, SA Not specified
Wharminda, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Minnipa, SA Calcarosol
Mudamuckla, SA Tenosol
Wharminda, SA Sodosol
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 Minnipa SA Mudamuckla SA Wharminda SA
2010 385.3mm93.0mm435.8mm
2009 391.3mm103.1mm397.0mm
2008 330.4mm81.5mm383.1mm
2007 331.2mm70.1mm376.1mm
2006 334.5mm87.0mm387.5mm
2005 288.0mm92.8mm330.1mm
2004 296.1mm92.5mm311.0mm
2003 293.2mm82.5mm344.1mm
2002 283.3mm69.8mm317.2mm
2001 343.9mm82.3mm350.6mm
2000 389.0mm98.3mm407.7mm
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.

Minnipa SA

Mudamuckla SA

Wharminda SA

Minnipa SA

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Mudamuckla SA

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Wharminda SA

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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 report and links

2010 trial report



Trial last modified: 03-09-2019 14:26pm AEST