Lentil plant density x sowing date, Wimmera (Dimboola), Victoria

2007
CC BY 4.0

Research organisatons
Funding sources

Trial details

Researcher(s) Eric Armstrong (SARDI)
Jason Brand (DPIVic)
Luke Gaynor (DPI NSW)
Michael Lines (SARDI)
Larn McMurray (DPIVic)
Year(s) 2007
Contributor Southern Pulse Agronomy
Trial location(s) Dimboola, VIC
Lentil plant density x sowing date, Wimmera (Dimboola), Victoria locations
Aims

To determine optimum sowing dates and plant densities of in the new green and red lentil varieties with improved ascochyta blight and botrytis resistance.

Key messages
  • Early sowing generally produced the highest yield for lentils in 2007.
  • Lentils varieties generally all responded similarly to plant density, in that, at the May sowing date, lower densities produced higher yields, while at the July sowing date, higher densities produced highest yields.
Lead research organisation Department of Primary Industries VIC
Host research organisation N/A
Trial funding source GRDC
Trial funding source DPIVic
Trial funding source SARDI
Trial funding source DPI NSW
Related program Southern Pulse Agronomy
Acknowledgments

Key contributors:
The authors wish to thank the contributions of the following people to this project:

  • Russel Argall, Jason Ellifson and Justine Ellis, DPI - Horsham
  • Jenny Davidson, Jim Egan and Jo Crouch - SARDI
  • Peter Matthews and and Ian Menz - DPI NSW


Acknowledgements:
The authors wish to acknowledge the support and assistance of the following people:

  • Michael Materne, Kristy Hobson and Tony Leonforte, PBA, DPI - Horsham.

 


Other trial partners SARDI, DPI NSW
Download the trial report to view additional trial information

Method

Crop type Lentils
Treatment type(s)
  • Sowing
  • Sowing: Rate
  • Sowing: Timing
  • Variety
  • Variety: Type
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Dimboola 2007

Sow rate or Target density 60, 90, 120, 150, 250 plants/m2
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
Dimboola, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Dimboola, VIC 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 Dimboola VIC
2007 532.9mm
2006 531.1mm
2005 559.8mm
2004 562.5mm
2003 564.4mm
2002 515.4mm
2001 539.7mm
2000 490.1mm
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.

Dimboola VIC

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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: 16-06-2018 07:37am AEST