Designing a stubble system to reduce the dependence on burning

2007
CC BY 4.0

Research organisaton

Trial details

Researcher(s) Rohan Wardle (SFS)
Year(s) 2007
Contributor Southern Farming Systems
Trial location(s) Penshurst, VIC
Designing a stubble system to reduce the dependence on burning locations
Aims

The key aims of this project have been to develop agronomic guidelines and seeding technology solutions to allow for increased stubble retention practices, thereby reducing the dependence on burning. 

Key messages
  • On average, the stubble incorporation treatment appeared to yield marginally better than other treatments. Burning still performed very well, along with the three surface retained treatments in 2007.
  • For further findings please see the attached trial report.
Lead research organisation N/A
Host research organisation N/A
Related program N/A
Acknowledgments

Special thanks to John and Brent Herrmann and family who generously donated access to 4 ha of land. Thanks also to Paul Horne and Jessica Page from IPM Technologies for undertaking insect observations. Thanks also to Jacqueline Wilson and Pru McAlpin and the Hamilton Branch committee for organizing extension events held over the past three years at this site.


Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Grazing: Application Method
  • Stubble: Management
Trial type Experimental
Trial design Blocked

Penshurst 2007

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

# Variety
Treatment 1
Protein (%) Grain yield (t/ha) Insect incidence (%) Screenings (%) Test weight (kg/hL)
1 Chara Stubble Mulch; Ungrazed 10.3 5.28 NR 2.9 78.6
2 Chara Stubble Mulch; Grazed 10.8 5.82 NR 2.6 78
3 Chara Slash, bale and remove; Ungrazed 9.7 6.14 NR 2.7 77.9
4 Chara Slash, bale and remove; Grazed 10.8 5.61 NR 2.4 77.7
5 Chara Prickle Chain; Ungrazed 10.8 6.14 NR 3.9 76.8
6 Chara Prickle Chain; Grazed 10.3 5.77 NR 3.5 77.3
7 Chara Harvest Low; Ungrazed 10.2 6.13 NR 2.3 78.7
8 Chara Harvest Low; Grazed 10.6 5.42 NR 2.7 77.9
9 Chara Disc x 1; ungrazed 10.7 6.13 NR 3.4 77.4
10 Chara Disc x 1; Grazed 11 5.8 NR 2.8 76.8
11 Chara Direct Drill; Ungrazed 10.7 5.29 NR 2.6 77.2
12 Chara Direct Drill; Grazed 11.2 5.45 5.8 3.1 76.5
13 Chara Chook Manure + disc; ungrazed 11.7 5.79 NR 3.7 77.1
14 Chara Chook Manure + disc; Grazed 11.7 5.741 5 4 75.6
15 Chara Burn; Ungrazed 10 5.88 NR 2.4 78
16 Chara Burn; Grazed 10.4 5.92 NR 2.5 77.5

Grain yield t/ha


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Insect incidence %


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Protein %


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Screenings %


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Test weight kg/hL


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Penshurst, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Penshurst, 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 Penshurst VIC
2007 430.1mm
2006 398.7mm
2005 427.8mm
2004 463.5mm
2003 467.4mm
2002 452.3mm
2001 449.7mm
2000 408.9mm
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.

Penshurst VIC

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 report and links

2007 trial report



Trial last modified: 20-11-2019 15:29pm AEST