To determine optimum sowing dates and row spacings for maximising yield of new lupin varieties.
Key messages
This trial demonstrates that the varieties trialed have the potential to react differently to sowing time and row spacing in the higher rainfall environment and in the favourable growing season of 2010.
The development of specifically tailored management packages designed to maximise yield of each variety will be developed with the continuation of this trial over the coming years.
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
NSWI&I
Related program
Southern Pulse Agronomy
Acknowledgments
Research staff: Jason Brand, Luke Gaynor, Mick Lines, Larn McMurray, Jenny Davidson, Andrew Ware, Trent Potter, Peter Matthews, Jason Ellifson, Justine Ellis, Gerard O’Connor, John Furner, Leigh Davis.
Co-operating staff: Russel Argall, Jenny Briggs, Jan Edwards, Matt Newell.
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.
Wanilla SA
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.