Lentil, germplasm, LRZ South Australian Mallee (Loxton), South Australia

2018
CC BY 4.0

Research organisatons
Funding sources

Trial details

Researcher(s) Jason Brand (RHO Environmetrics)
Ray Correll (RHO Environmetrics)
Abby Griffin (Ag Vic)
Michael Moodie (Frontier Farming Systems)
Year(s) 2018
Contributor Southern Pulse Agronomy
Trial location(s) Loxton, SA
Lentil, germplasm, LRZ South Australian Mallee (Loxton), South Australia locations
Aims

To identify the best adapted lentil varieties to the variable soil types encountered in Mallee paddocks.

Key messages
  • Normalised Differential Vegetation Index (NDVI) was used to compare lentil growth of varieties across the 10 subplots.  As shown in Figure 1 in the attached trial report summary, lentil growth was greatest on the flat soil type (bay 1-3), however productivity declined on the mid-slope and sand dune (bay 4-10).  Overall, PBA Ace had the highest NDVI, but that varied across the bays. In the sandier (mid slope and sand dune) bays, PBA Hurricane XT and CIPAL 1721 performed relatively well.  
Lead research organisation Agriculture Victoria
Host research organisation Agriculture Victoria
Trial funding source GRDC DAV00150
Trial funding source AgVic
Trial funding source SARDI
Related program Southern Pulse Agronomy
Acknowledgments

Please see the 'Introduction and Acknowledgments' document, under the 'Trial report and attachments' tab. 


Other trial partners South Australian Research and Development Institute, Birchip Cropping Group, Frontier Farming Systems and Southern Farming Systems
Download the trial report to view additional trial information

Method

Crop type Grain Legume: Lentils
Treatment type(s)
  • Crop: Variety
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Loxton 2018

Sow rate or Target density 120 plants/m2
Sowing machinery

On 28cm row spacing

Sow date 13 June 2018
Harvest date Unknown
Plot size Not specified
Plot replication Not specified
Fertiliser

50 kg/ha Granulock Z 

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
Loxton, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Loxton, SA 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 Loxton SA
2018 140.0mm
2017 184.8mm
2016 159.5mm
2015 140.2mm
2014 179.2mm
2013 155.2mm
2012 197.1mm
2011 246.3mm
2010 207.4mm
2009 144.7mm
2008 145.0mm
2007 142.3mm
2006 153.6mm
2005 181.7mm
2004 139.8mm
2003 123.5mm
2002 124.0mm
2001 169.9mm
2000 175.5mm
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.

Loxton SA

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.



Trial last modified: 04-01-2023 10:57am AEST