Dry sowing and a conflict with ryegrass - a methodical and measured approach

2013
CC BY 4.0

Research organisaton

Trial details

Researcher(s) Annieka Paridean (SFS)
Aaron Vague (La Trobe University)
Year(s) 2013
Contributor Southern Farming Systems
Trial location(s) Lake Bolac, VIC
Dry sowing and a conflict with ryegrass - a methodical and measured approach locations
Aims

 To investigate the effectiveness of weed control techniques using herbicide treatments and crop population. 

Key messages
  • Dry sowing before the break limits the possibility of broad spectrum herbicide control of early germinating weeds.
  • Annual ryegrass is very competitive if it emerges before or with the crop. Delaying sowing until the first flush of weed seedlings have emerged to allow an effective knockdown with a broad spectrum herbicide is pivotal when sowing into paddocks with a high ryegrass seed bank
  • The seed rate and consequently the plant density will most likely not create conditions where the rapid early growth of Revenue will out compete the germinating ryegrass. In this case, the density of plants does not play a significant role in the outcome of weed suppression.
  • Application of IBS herbicides (Sakura, Avadex Xtra) lose weed kill effectiveness with extended periods of hot weather and minimal rainfall.

 

Lead research organisation N/A
Host research organisation N/A
Related program N/A
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Sowing: Rate
  • Sowing: Timing
Trial type Experimental
Trial design Replicated

Lake Bolac 2013

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
Treatment 2
Establishment plants (plants/m2) Screenings (%) Test weight (kg/hL) Protein (%) Grain yield (t/ha) Weeds (plants/m2)
1 Sown Early April Density 100 pl/m2 135.3 10 74.03 7.375 5.288 33.1
2 Sown Early April Density 150 pl/m2 164.8 11.5 74.1 7.35 5.12 42.41
3 Sown Early April Density 200 pl/m2 185.8 9.5 75.8 7.525 5.515 26.91
4 Sown Late April Density 100 pl/m2 118.5 15.3 71.88 7.95 5.248 6.1
5 Sown Late April Density 150 pl/m2 160.1 15.9 73.8 7.857 5.563 8.55
6 Sown Late April Density 200 pl/m2 192.3 17.5 73.55 7.825 5.448 7.88
7 Sown Mid May Density 100 pl/m2 118.8 16.8 71.15 8.45 3.968 3.15
8 Sown Mid May Density 150 pl/m2 151 16.3 70.05 8.19 4.683 0.87
9 Sown Mid May Density 200 pl/m2 197.5 11.3 70.75 7.825 3.33 3.99
10

Grain yield t/ha


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Establishment plants plants/m2


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Protein %


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Screenings %


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Test weight kg/hL


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Weeds plants/m2


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Lake Bolac, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Lake Bolac, VIC 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 Lake Bolac VIC
2013 478.1mm
2012 507.9mm
2011 532.6mm
2010 532.7mm
2009 476.1mm
2008 477.4mm
2007 474.0mm
2006 461.2mm
2005 491.3mm
2004 474.1mm
2003 482.7mm
2002 463.3mm
2001 466.9mm
2000 459.2mm
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.

Lake Bolac VIC

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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

2013 trial report



Trial last modified: 23-10-2019 12:08pm AEST