Grower tools - yield predictive devices for making in-season management decisions

2015
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Alice Butler
Nigel Metz
Year(s) 2015
Contributor South East Premium Wheat Growers Association
Trial location(s) Mount Ney, WA
Grower tools - yield predictive devices for making in-season management decisions locations
Aims

To investigate available technology tools for farmers to make in-season management decisions for grain farming in the Esperance Port Zone (EPZ). Until recently, Yield Prophet was the most well-known yield estimation tool, however there are now other options becoming available. SEPWA looked at how other in-season management tools measure up in a comparability study, looking predominately at five tools used to forecast yield and manage inputs.

Key messages

Estimating what a paddock will yield allows growers to manage herbicide and fertiliser inputs during the season; forward sell grain and accurately insure their crops. This is an important tool for managing gross margins and ensuring profitability.

Lead research organisation South East Premium Wheat Growers Association
Host research organisation N/A
Trial funding source GRDC SEP00014
Related program Regional Cropping Solutions Network
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Farm operations: Risk Management
  • Technology: Modelling
Trial type Article/commentary
Trial design Not applicable

Mount Ney 2015

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Treatment 1
Predicted Yield (t/ha)
1 Actual 4.25
2 iPaddockYield 3.6
3 Yield Prophet 3.26
4 PYCAL 4.74
5 ProductionWise 3.44
6 N Calculator using N Rich Strips 4.33

Predicted Yield t/ha


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Mount Ney, WA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Mount Ney, WA 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 Mount Ney WA
2015 560.2mm
2014 545.5mm
2013 554.8mm
2012 550.7mm
2011 513.0mm
2010 489.0mm
2009 546.0mm
2008 535.4mm
2007 559.7mm
2006 537.7mm
2005 568.8mm
2004 570.6mm
2003 583.9mm
2002 513.9mm
2001 525.7mm
2000 553.5mm
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

Derived climate information

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

Mount Ney WA

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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

2015 trial report



Trial last modified: 16-10-2019 11:19am AEST