Faba bean disease management, Eyre Peninsula (Wanilla), South Australia

2012
CC BY 4.0

Research organisatons
Funding sources

Trial details

Researcher(s) Jason Brand (DPIVic)
Jeff Paull (University of Adelaide)
Andrew Ware (SARDI)
Year(s) 2012
Contributor Southern Pulse Agronomy
Trial location(s) Wanilla, SA
Faba bean disease management, Eyre Peninsula (Wanilla), South Australia locations
Aims
  • To determine optimum disease management practices for faba bean varieties in a district characterised by acidic red soil types and traditionally not considered suited to faba bean production.
Key messages
  • Yield of faba beans (ignoring the broad bean PBA Kareema) averaged 1.5t/ha at Wanilla in 2012. Early establishment and growth was excellent, disease pressure was low, and beans showed high yield potential.
  • Beans appeared to “hay off” late in the season due to high early season biomass production and the dry and rapid finish to the season, together with the occurrence of several high temperature events during late flowering.
Lead research organisation Department of Primary Industries VIC
Host research organisation N/A
Trial funding source DPIVic
Trial funding source SARDI
Trial funding source GRDC DAV00113
Trial funding source DPI NSW
Related program Southern Pulse Agronomy
Acknowledgments
  • Research staff: Jason Brand, Luke Gaynor, Mick Lines, Larn McMurray, Eric Armstrong, Jenny Davidson, Andrew Ware, Trent Potter, Jason Ellifson, Jennifer Briggs, Keisha Savage, Russel Argall, Ashley Purdue, Gerard O’Connor, Stuart Sherriff, Peter Maynard, John Nairn, Leigh Davis.
  • Industry Collaborators: Michael Materne and Tony Leonforte, Pulse Breeding Australia, DPI – Horsham Victoria; Kristy Hobson, Pulse Breeding Australia, DPI – Tamworth NSW; Jeff Paull, Pulse Breeding Australia, University of Adelaide South Australia; Wayne Hawthorne and Trevor Bray, Pulse Australia.
  • We are grateful for the support we receive from the numerous commercial agronomists and seed commercialising companies.

Other trial partners Pulse Breeding Australia, The University of Adelaide, Pulse Australia
Download the trial report to view additional trial information

Method

Crop type Grain Legume: Faba beans
Treatment type(s)
  • Management systems: Integrated pest management
Trial type Experimental
Trial design Replicated

Wanilla 2012

Sow date 8 May 2012
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Other trial notes

This report was published in the LEADA Farming Systems results booklet.

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
Wanilla, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Wanilla, SA 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 Wanilla SA
2012 589.6mm
2011 603.0mm
2010 608.9mm
2009 598.9mm
2008 585.2mm
2007 583.6mm
2006 589.5mm
2005 601.2mm
2004 596.2mm
2003 607.1mm
2002 580.2mm
2001 597.3mm
2000 588.2mm
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.

Wanilla SA

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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: 26-06-2018 16:34pm AEST