Identifying the causes of spatial variability

2006

Research organisaton
Funding source

Trial details

Researcher(s) Roger Armstrong (DPI Tatura)
Peter Fisher (DPI Tatura)
Janine Fitzpatrick (DPI Tatura)
Abdur Rab (DPI Tatura)
Cherie Reilly (BCG)
Year(s) 2006
Contributor Birchip Cropping Group
Trial location(s) Jil JIl, VIC
Identifying the causes of spatial variability locations
Aims

To improve the management of grain crops in the Mallee region of Victoria using precision agricultural technology: and more specifically, to improve the understanding of the causes of spatial variability within a paddock and its interaction with seasonal conditions as this knowledge is regarded as essential to developing appropriate management strategies in precision agriculture.

Key messages

Experiments were conducted in a commercial lentil crop (2006) in a paddock considered representative of the southern Mallee region of Victoria (McCellands Jil Jil East). The study identified that seasonal variations in the spatial pattern for grain yield were explained principally by differences in the ‘effective plant available water’ (ePAW) rather than differences in nitrogen supply. ePAW was considered to be related to both the textural properties of the surface soil (eg. small rainfall events at the season break are more effective in coarser textured soils than in clay soils) and the presence of physio-chemical in the subsoil, which can limit crop access to stored water.

Lead research organisation N/A
Host research organisation N/A
Trial funding source GRDC DAV00030
Related program N/A
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Grain Legume: Lentils
Treatment type(s)
  • Management systems: Precision Agriculture
Trial type Experimental
Trial design Unknown

Jil JIl 2006

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
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
Jil JIl, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Jil JIl, VIC 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 Jil JIl VIC
2006 814.0mm
2005 848.9mm
2004 795.2mm
2003 821.3mm
2002 792.0mm
2001 801.4mm
2000 744.9mm
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.

Jil JIl VIC

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