Nitrogen type and timing


Research organisaton
Funding source

Trial details

Researcher(s) Nicole Dimos (SPAA), Peter Treloar (Precision Ag services, Vision Ag) Richard Saunders (Rural Solutions SA) and Mike Mooney (Mallee Sustainable Farming Inc.)
Year(s) 2011
Contributor Society of Precision Agriculture Australia
Trial location(s) Puringa-Murtho, SA
Nitrogen type and timing locations
  • To encourage Mark Stoeckel, Paringa-Murtho grain grower, to experiment with different rates and types of nitrogen fertiliser on his paddock.
  • To use precision yield mapping to provide an accurate analysis of the trial.
  • To demonstrate potential benefits of Precision Agriculture technologies, especially variable rate to emonstrate reduced risk and maximised return in continuous cropping systems.
  • To demonstrate and extend the benefits of precision agriculture technology to SA Mallee growers.
Key messages

Variable rate fertiliser application has a real and profitable place in the Mallee when combined with good paddock science. The precision technology gives the ability to examine the yield data for many effects including other possible influencing factors such as elevation, slope aspect or orientation to the sun, and probably many others. Grain yield was recorded continuously during harvest and logged against GPS position. From the resultant yield map it was possible to isolate treatment strips and EM38 zones within these strips and determine the yield for individual strips and therefore treatments, and also where these treatments intersect with the paddock zones. Trial was statistically analysed and Table 1 above shows there was no significant difference between treatments.

Lead research organisation Society of Precision Agriculture Australia
Host research organisation N/A
Trial funding source GRDC SPA000010
Related program N/A

This project was funded by the Grains Research and Development Corporation (GRDC) and run in conjunction with Caring for our Country and Dept. Environment and Natural Resources

Other trial partners Mark and Sue Stoeckel, Growers, Bunyip Reach
Download the trial report to view additional trial information


Crop type Wheat
Treatment type(s)
  • Fertiliser: Rate
  • Soil: Type
Trial type Precision agriculture
Trial design Not applicable

Puringa-Murtho 2011

Sow date 26 May 2011 26 May 2011
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

VR Urea on 16 August, SOA 2 August

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Download results

Trial results Table 1

# Treatment 1
Treatment 2
Treatment 3
Gross margin ($/ha) Gross income ($/ha) Grain yield (t/ha)
1 Sandhill Zone Flat rate DAP: 45kg/ha 338.91 5422.23 1.614
2 Mid Slope Zone Flat rate DAP: 45kg/ha 335.97 32856.8 1.6
3 Flat Zone Flat rate DAP: 45kg/ha 219.63 5088.56 1.046
4 Sandhill Zone VR DAP: 45kg/ha VR Urea: 90kg/ha 445.33 7124.94 2.121
5 Mid Slope Zone VR DAP: 60kg/ha VR Urea: 0kg/ha 359.69 35176.5 1.713
6 Flat Zone VR DAP: 0kg/ha VR Urea: 0 kg/ha 221.76 5138 1.056

Grain yield t/ha


Gross income $/ha


Gross margin $/ha

Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Puringa-Murtho, SA Sandy clay loam
Derived trial site soil information
Australian Soil Classification Source
Trial site Soil order
Puringa-Murtho, SA Calcarosol
National soil grid Source
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



Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Puringa-Murtho SA

NOTE: Exact trial site locality unknown - Climate data may not be accurate

Some data on this site is sourced from the Bureau of Meteorology

SILO weather estimates sourced from
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.

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Trial last modified: 23-09-2019 17:26pm AEST