Barley grass trial

2016
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Barry Mudge (UNFS)
Year(s) 2016
Contributor Central West Farming Systems
Trial location(s) Appila, SA
Barley grass trial locations
Aims

To study the interaction of cereal type and variety and seeding rate on crop yield and grass suppression on a known weedy site.

Key messages
  • The 2016 trial results looking at cultural control techniques on barley grass largely confirmed the 2015 findings.
  • Increasing the seeding rate of barley 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 check plots where herbicide was appliedD.
  • uring the trials, barley has consistently outperformed wheat in its ability to compete with barley grass, particularly when sown at high seeding rates.
Lead research organisation Central West Farming Systems
Host research organisation N/A
Trial funding source GRDC CWF0020
Related program N/A
Acknowledgments
  • 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 and Sarah Noack (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

Method

Crop types Wheat
Barley
Treatment type(s)
  • Crop
  • Crop: Type
  • Sowing: Rate
  • Variety
  • Variety: Type
Trial type
Trial design

Appila 2016 Wheat

Sow rate or Target density Not specified
Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Appila 2016 Barley

Sow rate or Target density two seeding rates (60 and 120 kg/ha)
Sow date 12 May 2016
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
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

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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.

Appila SA

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: 25-11-2019 14:37pm AEST