Overdependence on agrichemicals – UNFS barley grass trial

CC BY 4.0

Research organisatons
Funding source

Trial details

Researcher(s) Barry Mudge (Barry Mudge Consulting for Upper North Farming Systems (UNFS))
Year(s) 2016
Contributor Hart Field Site Group
Trial location(s) Appila, SA
Overdependence on agrichemicals – UNFS barley grass trial locations
  • To explore the effectiveness of cultural methods of grass suppression which do not involve the use of herbicides.
  • To find practices which both maximise crop yield in the presence of background grass populations and also suppress weed seed carry-over.
Key messages
  • The 2016 trial results looking at cultural control techniques for barley grass largely confirmed the 2015 findings.
  • Increasing barley seeding rate in the presence of barley grass can provide substantial benefits to both yield and reduced weed seed carry-over. This applies particularly to competitive varieties such as Fathom, but also to less competitive varieties such as Hindmarsh.
  • In contrast, doubling the seeding rate of wheat had no beneficial effect on yield or weed carry-over.
  • Doubling the district practice seeding rate in barley substantially reduced the competitive effect of barley grass to the stage where crop yields were similar to those plots where herbicide was applied.
Lead research organisation Upper North Farming Systems
Host research organisation N/A
Trial funding source GRDC CWF00020
Related program N/A

The Ritchie family from Appila for their enthusiasm in providing a suitable site and regular weather updates. Nigel Wilhelm and Peter Telfer (SARDI) for assisting with trial design and trial seeding and harvest. Rochelle Wheaton, Hart Field Site for trial assessments. Amanda Cook (SARDI) for statistical analysis. GRDC for funding the trial under Project No CWF00020 ‘Overdependence on Agrochemicals’.

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


Crop type Barley
Treatment type(s)
  • Herbicide
  • Sowing
  • Sowing: Rate
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Appila 2016

Sow date 12 May 2016
Harvest date Not specified
Plot size 20m x 1.8m
Plot replication 4
Other trial notes

While all due care has been taken in compiling the information within this manual the Hart Field-Site Group Inc or researchers involved take no liability resulting from the interpretation or use of these results. We do not endorse or recommend th

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
Appila, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Appila, 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 Appila SA
2016 297.1mm
2015 252.1mm
2014 265.4mm
2013 294.1mm
2012 332.8mm
2011 352.5mm
2010 365.2mm
2009 308.3mm
2008 295.4mm
2007 317.9mm
2006 292.9mm
2005 313.3mm
2004 282.8mm
2003 266.0mm
2002 256.5mm
2001 311.8mm
2000 288.0mm
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



Appila SA 2016

Observed climate information

Rainfall avg ann (mm) 386mm
Rainfall avg gsr (mm) 232mm
Rainfall trial total (mm) 605mm
Rainfall trial gsr (mm) 375mm

Derived climate information

Appila SA


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: 22-05-2020 16:08pm AEST