Farming to soil potential on the Upper Eyre Peninsula: how accurate was in-season yield prediction in 2009?

2009

Research organisation
Funding source

Trial details

Researcher(s) Alison Frischke (CSIRO)
Peter Kuhlmann (Mudabie)
Roy Latta (SARDI)
Cathy Paterson (CSIRO)
Naomi Scholz (CSIRO)
Anthony Whitbread (CSIRO)
Year(s) 2009
Contributor SARDI Minnipa Agricultural Centre
Trial location(s) Mudamuckla, SA
Farming to soil potential on the Upper Eyre Peninsula: how accurate was in-season yield prediction in 2009? locations
Aims

To test whether knowledge of soil potential, soil variation and in-season predictions of grain yield with Yield Prophet could be useful to improving management.

Key messages
  • Using crop growth models to quantify the season to season yield performance on different soil types and predict in-season potential yield can be a very useful tool for managing risk and inputs.
  • Given the high spatial variability in soils and grain yield, mapping paddocks into zones of similar soil and yield potential enables farmers to better target input levels as well as understand crop yield potential in different seasons.
  • Information about the capacity of a soil to hold water, the water and mineral N levels at sowing are the basic information needed to use Yield Prophet - given this information, grain yield can be accurately predicted.
Lead research organisation SARDI Minnipa Agricultural Centre
Host research organisation N/A
Trial funding source GRDC UA0010
Related program Eyre Peninsula Farming Systems
Acknowledgments

We would like to thank Wade Shepperd and Mark Klante for technical support and Nigel Wilhelm for his constructive comments on this article.


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 Experimental
Trial design Replicated

Mudamuckla 2009

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
Mudamuckla, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Mudamuckla, SA Tenosol
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 Mudamuckla SA
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000

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.

Mudamuckla 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

2009 trial report



Trial last modified: 08-10-2019 12:24pm AEST