To maximise performance of a range of new field pea varieties across a range of sowing dates.
Yield of all varieties peaked when sown between mid May and late June during the highly
favourable season of 2010.
Performance at the later sowings was unusually good, again due to the favourable finish.
Early sowings suffered from excessive dry matter production, disease and the classic “selfdestruct syndrome” of peas that are too well grown.
Yarrum was the best variety, followed by OZP0805.
Seed size varied mainly with variety and was generally not affected by sowing date or seeding rate.
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, 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.
Derived climate information
No observed climate data available for this trial. Derived climate data is determined from trial site location and national weather sources.
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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