To maximise yield of lentils by identifying superior varieties and optimising sowing date.
PBA Ace and CIPAL0901 were the highest yielding varieties and show great potential for future lentil production in this region.
Delayed sowing reduced yields in 2012 at Yenda by an average of 40%
Established human consumption markets and yields over two tonnes per hectare suggest that lentil production could be profitable in southern NSW cropping zone
This trial should be repeated in future seasons in order to compare and validate the 2011 and 2012 findings across variable growing seasons.
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, 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.
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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