Agronomic strategies for water repellent soils in WA - mouldboard ploughing, deep ripping and lime incorporation

2014
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Sheree Blechynden (DAFWA)
Stephen Davies (DAFWA)
Sarah Hyde (Facey Group)
Year(s) 2014
Contributor Facey Group
Trial location(s) Wickepin, WA
Agronomic strategies for water repellent soils in WA - mouldboard ploughing, deep ripping and lime incorporation locations
Aims
  • To determine if the addition of lime and its method of incorporation (none/control, MBP or deep rip) has an effect on the soil pH profile and crop productivity.
  • To compare the impact of mouldboard ploughing and deep ripping on topsoil water repellence compared to an untreated control.
Key messages
Not specified
Lead research organisation N/A
Host research organisation Facey Group
Trial funding source GRDC DAW00204
Related program N/A
Acknowledgments

Thanks to Craig Jespersen for hosting the trial site and DAFWA (Derk Bakker, Albany) for provision of the small 3-furrow mouldboard plough. Support for this research was provided by DAFWA, Facey Group and GRDC through Project: DAW00204 'Delivering agronomic strategies for water repellent soils in WA'.


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

Method

Crop type Grain Legume: Lupins
Treatment type(s)
  • Soil Improvement: Rate
  • Soil Improvement: Type
Trial type Experimental
Trial design Replicated

Wickepin 2014

Sow date 10 May 2014
Harvest date Early November
Plot size Not specified
Plot replication 3
Fertiliser

10/05/2014 – 75 kg/ha; MAP/MOP 70:30

Herbicide

10/05/2014 - 0.8L Glyphosate + 1.4kg Simazine + 2L Trifluralin + 0.3kg Metribuzin + 0.4kg Sulphate of Ammonia + 0.1L Alpha Cypermethrin + 0.2% Wetter 1000 01/06/2014 - 0.2L Diflufenican 23/06/2014 - 0.5L Clethodim (Select) + 0.5% Uptake + 1 kg/ha Sulphate of Ammonia

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

@T1: 20th June
# Variety
Treatment 1
Weeds (plants/m2) 0-10cm soil pH (pH) 20-30cm soil pH (pH) pH 30-40cm (pH) 10-20cm soil pH (pH)
1 Gunyid Control 23.1111 4.6 5 5.2 4.9
1 Gunyid Control with lime (2t/ha pre+ 2t/ha post) 15.3333 5 5 5.2 4.7
2 Gunyid MBP 54.4444 5 5.2 5.4 4.8
2 Gunyid MBP with lime (2t/ha pre+ 2t/ha post) 18.8889 5.7 5.7 5.3 4.8
3 Gunyid Deep rip 76.4444 4.6 5.1 5.1 4.8
3 Gunyid Deep rip with lime (2t/ha pre+ 2t/ha post) 42.6667 5 5.4 5.5 4.9
4 Gunyid
4 Gunyid
5 Gunyid
5 Gunyid
6 Gunyid
6 Gunyid

0-10cm soil pH pH


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10-20cm soil pH pH


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20-30cm soil pH pH


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pH 30-40cm pH


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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
Wickepin, WA Loamy sand over gravel
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Wickepin, WA 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 Wickepin WA
2014 171.7mm
2013 204.5mm
2012 218.7mm
2011 189.5mm
2010 175.9mm
2009 201.8mm
2008 200.3mm
2007 196.6mm
2006 211.1mm
2005 178.8mm
2004 158.7mm
2003 198.6mm
2002 154.2mm
2001 153.2mm
2000 257.8mm
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

Wickepin WA 2014


Observed climate information

Rainfall trial gsr (mm) 344mm

Derived climate information

Wickepin WA

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: 04-06-2019 15:42pm AEST