To test the yield response of four faba bean varieties across 2 sowing times (TOS) in southern NSW.
Key messages
Sowing after the start of May resulted in a reduction in expected yields compared to previous seasons
Delaying sowing reduced Faba bean yields by approximately 0.3t/ha
There was significant difference between varieties and with delayed sowing
PBA Nura was the best performed variety at both sowing dates
There was little disease pressure.
Lead research organisation
Department of Primary Industries VIC
Host research organisation
N/A
Trial funding source
GRDC DAV00113
Trial funding source
DPIVic
Trial funding source
SARDI
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.
Yenda NSW
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.