To maximise performance of a range of new field pea varieties across a range of plant densities.
The information from this trial will be used to improve current grower sowing time
recommendations and variety selections.
Key messages
Yield of all varieties were largely unaffected across the range of plant density (12 to 80
plants/sqm) during the highly favourable season of 2010.
As densities increased, seed size increased.
Varieties differed significantly in grain yield and seed size. Sturt was the highest yielder,
followed by OZP0901 and OZP0703.
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.
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.
