Stubble type effect on soil nutrition

2016

Research organisaton
Funding source

Trial details

Researcher(s) Claire Browne (BCG)
Year(s) 2016
Contributor Birchip Cropping Group
Trial location(s) Site 1, Kalkee, VIC
Further information View external link
Stubble type effect on soil nutrition locations
Aims

To determine the effect of stubble type (wheat, peas and canola) and load (from Decile 2, 5 and 8
seasons) on subsequent soil and crop nutrition.

Key messages
  • In 2016, a Decile 10 season, stubble load had no effect on soil mineral nitrogen or soil water.
  • The presence of stubble resulted in higher soil mineral nitrogen over the summer fallow period.
  • Wheat yields were higher following peas or fallow than they were after wheat or canola in 2016.
Lead research organisation Birchip Cropping Group
Host research organisation N/A
Trial funding source GRDC BWD00024
Related program Maintaining profitable farming systems with retained stubble
Acknowledgments

This research was funded by the GRDC as part of the ‘Maintaining profitability in retained stubble systems’ project (BWD00024).


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

Method

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

Kalkee 2016

Sow rate or Target density 140 plants/m²
Sowing machinery

Knife point press wheels, 30cm row spacing

Sow date 24 May 2016
Harvest date 21 December 2016
Plot size Not specified
Plot replication Not specified
Paddock history 2014 wheat, 2015 wheat, peas, canola and fallow
Fertiliser

Granulock Supreme Z + Impact® @ 50kg/ha at sowing
19 July 25kg/ha of urea applied at GS13

Herbicide

24 May Triflur X® @ 1.5L/ha + Sakura® @ 118g/ha + Roundup PowerMAX® @ 2L/ha
7 July Lontrel® @ 100mL/ha + MCPA LVE @ 350mL/ha + Velocity® @ 670mL/ha + UptakeTM @ 0.5%
9 September Paradigm® @ 25g/ha + MCPA LVE @ 600mL/ha + Uptake @ 0.5%

Insecticide

9 September Fastac® @250mL/ha + Lorsban® @200mL/ha + BS 1000 @ 0.25%

Fungicide

27 September Prosaro® @ 300mL/ha + BS 1000 @ 0.25%
10 October Prosaro @ 300mL/ha + BS 1000 @ 0.25%

Seed treatment Raxil®
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

@T1: @T2:
# Treatment 1
Biomass (t/ha) Biomass (t/ha)
1 Canola low 6.7 12.9
1 Canola mid 7.2 11.2
2 Canola high 5.8 12.5
2 Fallow 7.1 13.4
3 Peas low 7.5 13.5
3 Peas mid 7.6 13.1
4 Peas high 8.6 13.6
4 Wheat low 5.7 10.6
5 Wheat mid 5.7 11.4
5 Wheat high 5.7 9.9
6
6
7
7
8
8
9
9
10
10

Biomass t/ha


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Observed trial site soil information
Trial site soil testing
Site Depth Type pH EC P K N A OC CAT
Site 1, Kalkee, VIC 0 - 10cm 31.00 1.00
Site 1, Kalkee, VIC 0 - 70cm
Soil conditions
Trial site Soil texture
Site 1, Kalkee, VIC Clay
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Site 1, Kalkee, VIC Vertosol
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 Site 1, Kalkee VIC
2016 251.5mm
2015 229.4mm
2014 225.2mm
2013 243.4mm
2012 250.0mm
2011 269.6mm
2010 280.8mm
2009 282.8mm
2008 246.2mm
2007 277.2mm
2006 299.8mm
2005 334.0mm
2004 351.3mm
2003 453.4mm
2002 474.5mm
2001 535.7mm
2000 642.5mm
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

Site 1, Kalkee VIC 2016


Observed climate information

Rainfall trial total (mm) 462mm
Rainfall trial gsr (mm) 374mm

Derived climate information

Site 1, Kalkee 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.