To identify optimum ascochyta blight management strategies for maximising grain yield of new varieties.
The mild (although dry) finish to the 2012 season suited chickpeas at this site enabling them to mature slowly and achieve relatively high yields (averaging 2.6t/ha).
Across all varieties a 13% yield improvement from fortnightly disease control, and a 7% yield improvement from strategic control involving three applications of chlorothalonil compared to untreated plots occurred.
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.
NOTE: Exact trial site locality unknown - Climate data may not be accurate
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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