To demonstrate the profitability of alternative grain legume crops across the Western Region.
Key messages
Preparation of paddocks is key to the success of legume crops such as chickpeas and field peas. Control of weeds prior to sowing is crucial and, rolling to level the seed bed post seeding improves the ability to harvest such crop types.
Field peas and chickpeas are more susceptible to frost damage compared to canola or lupins.
Canola remains a highly profitable non-cereal crop in Kalannie in 2018.
Lead research organisation
Liebe Group
Host research organisation
N/A
Trial funding source
GRDC LIE1802_003SAX
Related program
N/A
Acknowledgments
The Liebe Group would like to thank the McCreery family for hosting this project over the next two seasons and their contribution of time, seed and fertiliser for the trial. Thank you also to the Nixon family for supplying the field pea seed for this demonstration.
Thank you to AFGRI equipment, Dalwallinu, for the supply of machinery to enable this demonstration to be sown.
Thank you to the Tactical Break Crop researchers at the Department of Primary Industries and Regional Development (DPIRD) for the agronomic support and advice for each of the crop types demonstrated at this site. Extended thanks to the team at the Wongan Hills Research Station who provided their services for harvesting the field peas at this site.
The economic analysis for this project has been conducted by Ben Curtis and Stacey Bell of Farmanco. This project has been made possible through the GRDC investment: Demonstration o
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.
Kalannie WA
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.
