The impact of soil mineral nitrogen on disease suppression

2010

Research organisaton
Funding source
South Australian Grains Industry Trust (SAGIT)

Trial details

Researcher(s) Amanda Cook (SARDI)
Ian Richter (SARDI)
Wade Shepperd (SARDI)
Nigel Wilhelm (SARDI)
Year(s) 2010
Contributor SARDI Minnipa Agricultural Centre
Trial location(s) Minnipa, SA
The impact of soil mineral nitrogen on disease suppression locations
Aims

To understand the impact of soil carbon and nitrogen cycling on Rhizoctonia solani disease suppression.

Key messages
  • It appears that once disease suppression is achieved in low rainfall farming systems of upper EP and inoculum levels are low, it is quite robust and will be maintained despite systems with substantially different amounts of mineral N.
  • Fallow, Medic/Fallow and Peas all lowered rhizoctonia inoculum levels in 2010, and Fallow and Peas lowered levels in 2009.
  • Continuous cereals produced the highest inoculum levels but all levels were low at this site.
  • Even high mineral N (118 kg N/ha) in the top 60 cm (measured in April after spraytopped medic) did not increase Rhizoctonia patches in 2010.
  • Trichoderma fungus and the beneficial PEM microbes are present in the MAC N12 system.
Lead research organisation SARDI Minnipa Agricultural Centre
Host research organisation N/A
Trial funding source South Australian Grains Industry Trust (SAGIT)
Related program Eyre Peninsula Farming Systems
Acknowledgments

Thank you to SAGIT for funding this project, and for providing extra funding to allow more extensive analysis. Thanks to Penny Day,
Alex Watts and Jake Pecina for analysis and grain threshing, also to the farm boys especially Brett McEvoy for dodging trials and
avoiding white pegs.


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

Method

Crop types Cereal (Grain): Wheat Pasture: Medic Grain Legume: Field peas Cereal (Grain): Barley
Treatment type(s)
  • Crop: Type
  • Crop: Rotation
  • Fertiliser: Type
Trial type
Trial design

Minnipa 2010 Wheat

Sow rate or Target density Not specified
Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Minnipa 2010 Medic

Sow rate or Target density Not specified
Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Minnipa 2010 Field peas

Sow rate or Target density Not specified
Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

Minnipa 2010 Barley

Sow rate or Target density 60kg/ha
Sow date 31 May 2010
Harvest date Not specified
Plot size 40m x 1.5m
Plot replication 4
Download the trial report to view additional method/treatment information
Trial source data and summary not available
Check the trial report PDF for trial results.
Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Minnipa, SA Red sandy loam
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Minnipa, SA Calcarosol
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 Minnipa SA
2010 385.3mm
2009 391.3mm
2008 330.4mm
2007 331.2mm
2006 334.5mm
2005 288.0mm
2004 296.1mm
2003 293.2mm
2002 283.3mm
2001 343.9mm
2000 389.0mm
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

Minnipa SA 2010


Observed climate information

Rainfall avg ann (mm) 325mm
Rainfall avg gsr (mm) 242mm
Rainfall trial total (mm) 410mm
Rainfall trial gsr (mm) 346mm

Derived climate information

Minnipa SA

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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

2010 trial report



Trial last modified: 08-10-2019 14:56pm AEST