Sowing density X sowing date, MRZ Mid North (Pinery) and MRZ Yorke Peninsula (Melton), South Australia
This trial is to be read in conjunction with ‘Related trials’ where listed in the ‘Trial details’ section below, in addition to the associated ‘Trial report’ and introductory material in the Southern Pulse Agronomy Results Summary where included under the ‘Trial report and attachments’ tab.
To evaluate the optimum sowing density of new ‘high biomass’ lentil varieties alongside older varieties at two sowing dates.
The recommended sowing density targeting 120 live plants/m2 maintained high yields for all varieties at both sowing timings across the two sites.
Lower sowing densities of 100 plants/m2 may be considered for Boomer at Pinery where yields were found to decline as plant density increased.
Lead research organisation
Department of Economic Development, Jobs, Transport and Resources VIC
Host research organisation
Trial funding source
Trial funding source
Trial funding source
Trial funding source
Southern Pulse Agronomy
Technical support: Jason Ellifson, Keisha Savage, Russel Argall, Stuart Sherriff, Peter Maynard, John Nairn, Leigh Davis.
Industry Collaborators: Matt Rodda and Peter Kennedy, Pulse Breeding Australia, DEDJTR Horsham Victoria; Kristy Hobson, Pulse Breeding Australia, DPI – Tamworth NSW; Jeff Paull, Pulse Breeding Australia, University of Adelaide South Australia; Mary Raynes, 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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