Demonstration: can satellite maps be used for monitoring in season nitrogen requirements

2011
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Peter Baines (P Baines Agronomy)
Jason Collier (Rand Fertilizers)
Nicole Dimos (SPAA)
John Sykes (Rural Consulting)
Leighton Wilksch (FSG)
Year(s) 2011
Contributor Society of Precision Agriculture Australia
Trial location(s) Rand, NSW
Demonstration: can satellite maps be used for monitoring in season nitrogen requirements locations
Aims

To compare the effects of using variable rate N and P on the yield of wheat and to determine if PA monitoring using satellite maps could be used to determine the need for N at or near growth stage Z31.

Key messages

 There was a visual response to P applied at sowing which resulted in additional yield at harvest. Responses were obtained to up to 10 kg/ha of P. The added net income was calculated as $44 /ha or a $3 return for every $1 spent. There was no visual response to applying N. This may have been a result of the dry pring and the time of application. There was no response to N at harvest.   The co-operator was please that he noted a visual response to applying P that resulted in higher yields. The ack of N response was probably due to the dry weather in early October.

Lead research organisation Society of Precision Agriculture Australia
Host research organisation N/A
Trial funding source GRDC SPA000010
Related program N/A
Acknowledgments N/A
Other trial partners David Wolfenden (Property owner )
Download the trial report to view additional trial information

Method

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

Rand 2011

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Fertiliser

P rates of 0 to 20 kg/ha were applied using MAP at sowing. N rates of 0-80 kg/ha were applied as urea in early August near to growth stage Z32.

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Variety
Treatment 1
Treatment 2
Grain yield (t/ha)
1 Ventura P @ 0kg/ha N @ 0kg/ha 3.1
2 Ventura P @ 0kg/ha N @ 20kg/ha 3.1
3 Ventura P @ 0kg/ha N @ 40kg/ha 3.2
4 Ventura P @ 0kg/ha N @ 80kg/ha 3
5 Ventura P @ 5kg/ha N @ 0kg/ha 3.5
6 Ventura P @ 5kg/ha N @ 20kg/ha 3.6
7 Ventura P @ 5kg/ha N @ 40kg/ha 3.5
8 Ventura P @ 5kg/ha N @ 80kg/ha 3.5
9 Ventura P @ 10kg/ha N @ 0kg/ha 3.7
10 Ventura P @ 10kg/ha N @ 20kg/ha 3.2
11 Ventura P @ 10kg/ha N @ 40kg/ha 3.2
12 Ventura P @ 10kg/ha N @ 80kg/ha 3.4
13 Ventura P @ 20kg/ha N @ 0kg/ha 3.5
14 Ventura P @ 20kg/ha N @ 20kg/ha 3.5
15 Ventura P @ 20kg/ha N @ 40kg/ha 3.4
16 Ventura P @ 20kg/ha N @ 80kg/ha 3.5

Grain yield t/ha


Loading
Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Rand, NSW Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Rand, NSW 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 Rand NSW
2011 577.7mm
2010 593.0mm
2009 532.8mm
2008 527.6mm
2007 504.1mm
2006 537.7mm
2005 554.5mm
2004 469.5mm
2003 434.0mm
2002 416.2mm
2001 463.4mm
2000 475.6mm
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

Loading

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.

Rand NSW

Loading
Loading
Loading

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

2011 trial report



Trial last modified: 20-09-2019 17:36pm AEST