Variable rate nitrogen

2011

Research organisaton
Funding source

Trial details

Researcher(s) Nicole Dimos (SPAA), Leighton Wilksch, Neil Macmillan (FSG) and James Mwendwa (CWFS)
Year(s) 2011
Contributor Society of Precision Agriculture Australia
Trial location(s) Site 6, Nyngan , NSW
Variable rate nitrogen locations
Aims
  • To compare the effects of nitrogen on cereal crop yield and protein levels.
  • To compare the performance of variable rate nitorgen applications to determine profitable future rate applications.
Key messages

In 2010, at Wass brothers’ property in Nyngan, a very wet season caused the normally poor performing areas to perform just as well as the good areas in this paddock regardless of additional nitrogen application. In other paddocks across the farm, there were significant yield differences across each paddock. However, in the previous years Wass’s have always wanted to apply N and have had mixed results possibly because of soil and water variability. Most seasons they have areas that burnout and areas which could use a higher application of N and give a better yield. In 2011, Hayden intended to try to understand what was driving these differences, and yield maps are a way of spatially determining different zones. Therefore, this trial was set up.

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

“The Soaks” property owners Dion, Bert Barb Woolford. Paddock and trial sown by Dion Woolford. Tim Moyle Landmark Kimba pegged trials and applied urea. Linden Masters MAC monitored plots and interpreted results. Leigh Davis and Brenton Spriggs SARDI reapt plots. Trials coordinator and FSG contact is Linden Masters


Other trial partners Incitec Pivot (Soil Tests). Wass Brothers PTY LTD Nyngan (Growers).
Download the trial report to view additional trial information

Method

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

Nyngan 2011

Sow rate or Target density 50kg/ha
Sow date 30 May 2011 End of May
Harvest date 3 November 2011 3 November 2011
Plot size 2m x 20m
Plot replication Not specified
Fertiliser

Easy N 60L/Ha in 5 x 36m test strips, 250kg Urea/Ha in 2m x 5m plots.

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Treatment 1
Treatment 2
Screenings (%) Moisture (%) Plant available water (mm) Grain yield (t/ha) Test weight (kg/hL) Protein (%)
1 0kg urea Sandy loam 13.1 11.3 18.96 1.71 66.4 10.4
1 Depth 15-30 cm Sandy loam 9.4 11.4 19.2 1.64 70.2 11.2
2 100kg urea Sandy loam 9.2 11.3 13.21 1.71 68.1 11.5
2 Depth 60-90 cm Sandy loam 8.7 11.1 11.64 1.7 71.6 12.5
3 Dpeth 90-120 cm Deep sand 14.1 11.4 19.38 1.49 59.8 10.1
3 Depth 120-150 cm Deep sand 15 11.5 11.62 1.64 63.4 10.3
4 100kg urea Deep sand 7.6 11.6 1.51 68.8 10.6
4 200kg urea Deep sand 8.6 11.3 1.48 73.4 10.9
5
5
6
6
7
8

Grain yield t/ha


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Moisture %


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Plant available water mm


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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
Site 6, Nyngan , NSW Red clay loam
Derived trial site soil information
Australian Soil Classification Source
Trial site Soil order
Site 6, Nyngan , NSW Vertosol
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

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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.

Site 6, Nyngan 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.




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Trial last modified: 30-09-2019 16:09pm AEST