Jason Brand (DPIVic) Charlton Jeisman (SARDI) Jeff Paull (University of Adelaide)
Southern Pulse Agronomy
To determine optimum sowing dates and sowing densities for maximising yield and agronomic performance of new faba bean varieties in high rainfall areas.
Despite relatively low growing season rainfall in 2012, bean yields were still reasonably high at Bool Lagoon in 2012. It is likely that yields were buoyed by high December 2011 rainfall, lack of disease, and the relatively mild (although dry) finish to the 2012 season.
Lead research organisation
Department of Primary Industries VIC
Host research organisation
Trial funding source
Trial funding source
Trial funding source
Trial funding source
Southern Pulse Agronomy
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
Trial source data and summary not available Check the trial report PDF for trial results.
Derived climate information
No observed climate data available for this trial. Derived climate data is determined from trial site location and national weather sources.
NOTE: Exact trial site locality unknown - Climate data may not be accurate
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.
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