To investigate the suitability and profitability of alternative legume crops in the Western Region.
Adequate control of weeds and sufficient plant densities resulted in a clean, competitive crop at the Carnamah site. Canola remains a high earning crop that commonly forms part of a crop rotation in many farming enterprises. Robust agronomy packages and prices of the legume types demonstrated by this project, means crops such as field peas and lentils have potential suitability in the Carnamah region.
The need to harvest chickpeas early to match the logistics of harvest of the trial compromised the results for the chickpea treatments. Use of established management practices for the harvesting of chickpeas is required to reduce the incidence of yield loss at harvest time.
The ranking of each species on profitability should be viewed in light of the highly variable price of pulses from year to year.
Lead research organisation
Host research organisation
Trial funding source
The Liebe Group would like to thank the Bowman family for hosting this trial site and for the time and effort they have contributed to the management of the demonstration. 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 of legumes for reliable profitability in the Western Region. Project Code: LIE1802-003SAX
Peer review: Alan Meldrum, Grain Growers
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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