To determine optimum disease management practices for new faba bean varieties, and confirm disease ratings on recently released varieties.
Key messages
Chocolate spot is a major disease in bean crops, causing significant losses to yield and profitability.
Low disease levels in 2012 and favourable seasonal conditions meant that there was no treatment or variety response for either disease severity or grain yield.
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
Trial source data and summary not available Check the trial
report PDF for trial results.
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.
Tarlee SA
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.