Stubble efficiency – stubble grazing Condobolin

2015
CC BY 4.0

Research organisaton

Trial details

Researcher(s) Ian Menz
Nick Moody
Daryl Reardon
Year(s) 2015
Contributor Central West Farming Systems
Trial location(s) Condobolin, NSW
Stubble efficiency – stubble grazing Condobolin locations
Aims

To investigate how differing summer farming practices influence stored water and how plant available water may influence grain yield potential and grain quality attributes in the low rainfall area in central NSW.

Key messages
  • Treatment 1, Nil grazed, moderate stubble yielded the highest, (2.18 t/ha).
  • No significant difference in Total Plant Available Water, majority of stored water was below the 50 cm depth.
  • There was a significant difference between the eight treatments when comparing available soil nitrogen.
  • There was a significant difference in grain quality attributes between the eight stubble treatments.
Lead research organisation Central West Farming Systems
Host research organisation N/A
Related program Maintaining profitable farming systems with retained stubble
Acknowledgments
  • The contributions of GRDC and CWFS in funding this trial are gratefully acknowledged.
  • The contribution of the Operational staff at Condobolin Agricultural Research and Advisory Station,
  • Condobolin.
  • The contribution of Dr Neroli Graham for the statistical analyses and paper review.

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

Method

Crop type Wheat
Treatment type(s)
  • Stubble
Trial type Experimental
Trial design Replicated

Condobolin 2015

Sow rate or Target density 30 kg/ha Livingston wheat
Sowing machinery

DBS Parallelogram Hydraulic tyne seeder, with disc culters

Sow date 20 May 2015
Harvest date 9 November 2015
Plot size Not specified
Plot replication 25
Paddock history Twilight field peas and Mannus oats, brown manured
Fertiliser

50 kg/ha MAP

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Treatment 1
Screenings (%) Test weight (kg/hL) Protein (%) Grain yield (t/ha)
1 Nil graze, moderate stubble retain 23.1 75.3 9.4 2.18
2 Nil graze, moderate stubble retain, burnt late 28.2 73.9 10.3 2.01
3 Nil graze, high stubble retain 28.5 75.7 9.5 2.13
4 Nil graze, mown stubble removed 42.8 72.8 11.1 2.11
5 Stubble moderate graze, stubble retained, sprayed 36.9 73.1 10.9 2.07
6 Stubble moderate graze, sprayed for weeds, burnt late 36.6 72.4 10.4 2.06
7 Stubble heavy graze, stubble retained, sprayed 52.6 73.7 11.7 1.98
8 Stubble heavy graze, stubble retained, one miss spray 43.4 10.5 1.74

Grain yield t/ha


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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
Condobolin, NSW Red sandy loam
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Condobolin, NSW Kandosol
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 Condobolin NSW
2015 217.9mm
2014 206.0mm
2013 206.6mm
2012 243.4mm
2011 179.2mm
2010 185.0mm
2009 73.3mm
2008 90.9mm
2007 80.4mm
2006 119.2mm
2005 154.3mm
2004 155.8mm
2003 154.0mm
2002 162.4mm
2001 230.3mm
2000 300.5mm
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.

Condobolin NSW

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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: 03-05-2018 16:38pm AEST